Object processing method and device, equipment, medium and program product

Abstract

The invention relates to an object processing method and device, equipment, a medium and a program product. The method comprises the steps that target configuration information of a target object is acquired; when the target recommendation mode comprises a multimedia material recommendation mode, searching a target multimedia material corresponding to the target object from a material library according to the target object description information, and determining a target creator account for creating the target multimedia material; obtaining a historical virtual resource list of the target user account, and determining a first degree of interest of the target user account on the target object according to the similarity between the interaction object in the historical virtual resource list and the target object; according to the first interested degree and a second interested degree of the target user account in the target creator account, determining a recommendation degree parameter of the target object; and when the recommendation degree parameter meets a preset recommendation condition, recommending the target object to the target user account. According to the embodiment of the invention, the object recommendation accuracy can be improved.

Description

Technical Field

[0001] The present disclosure relates to the field of computer technology, and in particular to an object processing method, device, equipment, medium and program product. Background Art

[0002] In the related art, merchants publish product objects on an e-commerce platform, and the e-commerce platform can recommend product objects in a personalized manner in the form of virtual shelves for each user's user account.

[0003] However, in the traditional virtual shelf recommendation method, the product display content is all product pictures provided by the merchant, and users cannot intuitively and comprehensively understand the product information. In addition, due to the lack of trust endorsement, the user's product selection efficiency is low. In addition, the product recommendation process often only considers the degree of association between the product and the user, and the dimensional indicators are single, resulting in low accuracy of product recommendations. Summary of the invention

[0004] The present disclosure provides an object processing method, device, equipment, medium and program product to at least solve the problem of low accuracy of commodity object recommendation in the related art. The technical solution of the present disclosure is as follows:

[0005] According to a first aspect of an embodiment of the present disclosure, there is provided an object processing method, including:

[0006] Acquire target configuration information of the target object; the target configuration information includes target object description information and target recommendation method of the target object;

[0007] When the target recommendation method includes a multimedia material recommendation method, a target multimedia material corresponding to the target object is found from a material library according to the target object description information, and a target creator account who created the target multimedia material is determined; the material library includes multimedia materials formed when a preset object is shared in an object sharing space;

[0008] Obtain a historical virtual resource list of a target user account, and determine a first interest level of the target user account in the target object based on a similarity between an interaction object in the historical virtual resource list and the target object; the historical virtual resource list includes a plurality of interaction objects; the interaction object is an object to which the target user account performs a virtual resource transfer operation within a preset historical time period;

[0009] Determining a recommendation degree parameter of the target object according to a first interest degree of the target user account in the target object and a second interest degree of the target user account in the target creator account;

[0010] When the recommendation degree parameter meets the preset recommendation condition, the target object is recommended to the target user account.

[0011] In an exemplary embodiment, determining the first interest level of the target user account in the target object according to the similarity between the interactive object in the virtual resource list and the target object includes:

[0012] The objects interactively operated by the target user account within a preset historical time period and the interactive objects in the historical virtual resource list are constructed into a set to obtain a historical interactive object set;

[0013] A first interest level of the target user account in the target object is determined according to a similarity between the target object and each historical interaction object in the historical interaction object set.

[0014] In an exemplary embodiment, determining the recommendation parameter of the target object according to the first interest level of the target user account in the target object and the second interest level of the target user account in the target creator account includes:

[0015] Obtaining object interaction operation information of the target user account in the object sharing space of the target creator account within the preset historical time period;

[0016] Obtain a list of creator accounts that have a social relationship with the target user account, and detect whether the target creator account is in the creator list to obtain an account relationship detection result;

[0017] Determining a second degree of interest of the target user account in the target creator account according to the object interaction operation information and the account relationship detection result;

[0018] The recommendation degree parameter is obtained according to the first interest level and the second interest level.

[0019] In an exemplary embodiment, before obtaining the target configuration information of the target object, the method further includes:

[0020] In response to the object recommendation request of the target user account, obtaining historical virtual resource transfer volume data generated by a preset object in a historical object sharing space within a preset historical time period;

[0021] The preset object whose historical virtual resource transfer amount data is greater than or equal to a preset heat threshold is determined as the target object.

[0022] In an exemplary implementation, searching for a target multimedia material corresponding to the target object from a material library according to the target object description information, and determining a target creator account who created the target multimedia material, includes:

[0023] Searching for a candidate multimedia material corresponding to the target object description information from the material library, and determining a creator account corresponding to the candidate multimedia material as a candidate creator account;

[0024] When there are multiple candidate creator accounts, obtain the number of follower accounts corresponding to each candidate creator account; the number of follower accounts is the number of user accounts that have social relationships with the candidate creator account;

[0025] Sort the candidate creator accounts according to the number of followed accounts, and determine the first candidate creator account ranked first as the target creator account;

[0026] The candidate multimedia material corresponding to the target creator account is determined as the target multimedia material.

[0027] In an exemplary embodiment, the method for constructing the material library includes:

[0028] Obtaining a preset heat object; the preset heat object is an object whose historical virtual resource transfer volume data generated in the historical object sharing space within a preset historical time period is greater than or equal to a preset heat threshold;

[0029] Determining the multimedia material generated when the preset hot object is shared in the historical object sharing space within the preset historical time period as the preset multimedia material;

[0030] Sending a material sharing confirmation request to the preset creator account; the material sharing confirmation request includes the preset multimedia material; the preset creator account is a creator account corresponding to the historical object sharing space;

[0031] After receiving confirmation information from the preset creator account agreeing to upload the preset multimedia material, the preset multimedia material is uploaded to the material library.

[0032] In an exemplary embodiment, when the recommendation degree parameter satisfies a preset recommendation condition, recommending the target object to the target user account includes:

[0033] Generate a target display component corresponding to the target object according to the attribute information of the target creator account, the basic information of the target object, and the target multimedia material;

[0034] When the recommendation degree parameter satisfies the preset recommendation condition, the target display component is sent to the target user account, so that the terminal corresponding to the target user account displays the target display component.

[0035] In an exemplary embodiment, before obtaining the target configuration information of the target object, the method further includes:

[0036] Determining at least one preset recommendation method corresponding to the target object according to the attribute information of the object publishing account corresponding to the target object;

[0037] When receiving a multimedia material recommendation method usage request initiated by the object publishing account for the target object, obtaining a first list; the first list is a list of object publishing accounts with abnormal publishing operations;

[0038] When the object publishing account is not in the first list, obtaining current configuration information of the target object;

[0039] Parsing the current configuration information to determine the current recommendation method for the target object;

[0040] When the current recommendation mode includes at least one of the preset recommendation modes, the multimedia material recommendation mode is added to the current recommendation mode to obtain the target recommendation mode.

[0041] In an exemplary embodiment, after obtaining the target recommendation mode, the method further includes:

[0042] Obtaining a preset virtual resource distribution ratio corresponding to each of the currently recommended methods, to obtain a plurality of preset virtual resource distribution ratios;

[0043] Determining a target virtual resource distribution ratio according to a size relationship of the plurality of preset virtual resource distribution ratios;

[0044] The target virtual resource distribution ratio is determined as the attribute value of the multimedia material recommendation method, and the current configuration information is updated based on the attribute value and the target recommendation method to obtain the target configuration information.

[0045] In an exemplary embodiment, after recommending the target object to the target user account, the method further includes:

[0046] After receiving the interaction information of the target user account performing the virtual resource transfer service for the target object, acquiring the interaction link corresponding to the interaction information; the interaction link includes the nodes contacted by the target user account during the virtual resource transfer service;

[0047] Performing attribution analysis on the interaction information according to the interaction link to obtain a virtual resource distribution account;

[0048] When the virtual resource distribution account matches the target creator account, the virtual resource is distributed to the target creator account according to the target virtual resource distribution ratio.

[0049] In an exemplary implementation, performing attribution analysis on the interaction information according to the interaction link to obtain a virtual resource distribution account includes:

[0050] Obtaining a second list; the second list is a list of creator accounts that have performed abnormal material creation operations;

[0051] When the target creator account is not in the second list, the interaction information is subjected to attribution analysis and processing according to the interaction link to obtain the virtual resource distribution account.

[0052] In an exemplary implementation, determining a target virtual resource distribution ratio according to a size relationship among the plurality of preset virtual resource distribution ratios includes:

[0053] Determine a maximum value among the preset virtual resource distribution ratios as the target virtual resource distribution ratio;

[0054] Determine a preset ratio threshold according to the category information of the target object;

[0055] If the target virtual resource distribution ratio is greater than the preset ratio threshold, the ratio threshold is determined as the target virtual resource distribution ratio.

[0056] According to a second aspect of an embodiment of the present disclosure, there is provided an object processing device, including:

[0057] A target configuration information acquisition module is configured to acquire target configuration information of a target object; the target configuration information includes target object description information and a target recommendation method of the target object;

[0058] A multimedia material search module, configured to perform, when the target recommendation method includes a multimedia material recommendation method, searching for a target multimedia material corresponding to the target object from a material library according to the target object description information, and determining a target creator account for creating the target multimedia material; the material library includes multimedia materials generated when a preset object is shared in an object sharing space;

[0059] A first interest level determination module is configured to execute acquisition of a historical virtual resource list of a target user account, and determine a first interest level of the target user account in the target object according to a similarity between an interactive object in the historical virtual resource list and the target object; the historical virtual resource list includes a plurality of interactive objects; the interactive objects are objects to which the target user account performs a virtual resource transfer operation within a preset historical time period;

[0060] A recommendation parameter determination module is configured to determine a recommendation parameter of the target object according to a first interest level of the target user account in the target object and a second interest level of the target user account in the target creator account;

[0061] The recommendation module is configured to recommend the target object to the target user account when the recommendation degree parameter meets a preset recommendation condition.

[0062] In an exemplary embodiment, the first interest level determination module includes:

[0063] A historical interactive object set determination submodule is configured to construct a set of objects interactively operated by the target user account within a preset historical time period and interactive objects in the historical virtual resource list to obtain a historical interactive object set;

[0064] The similarity determination submodule is configured to determine a first interest level of the target user account in the target object based on the similarity between the target object and each historical interaction object in the historical interaction object set.

[0065] In an exemplary embodiment, the recommendation parameter determination module includes:

[0066] The object interaction operation information acquisition submodule is configured to execute acquisition of the object interaction operation information of the target user account in the object sharing space of the target creator account within the preset historical time period;

[0067] An account relationship detection result determination submodule is configured to execute acquisition of a list of creator accounts that have a social relationship with the target user account, and to detect whether the target creator account is in the creator list, to obtain an account relationship detection result;

[0068] A second interest level determination submodule is configured to determine a second interest level of the target user account in the target creator account based on the object interaction operation information and the account relationship detection result;

[0069] The recommendation degree parameter determination submodule is configured to obtain the recommendation degree parameter according to the first and second interest levels.

[0070] In an exemplary embodiment, the device further comprises:

[0071] A historical virtual resource transfer volume data acquisition module is configured to execute in response to the object recommendation request of the target user account, and acquire historical virtual resource transfer volume data generated by a preset object in a historical object sharing space within a preset historical time period;

[0072] The threshold comparison module is configured to determine the preset object whose historical virtual resource transfer amount data is greater than or equal to a preset heat threshold as the target object.

[0073] In an exemplary embodiment, the multimedia material search module includes:

[0074] A candidate material determination submodule is configured to search the material library for candidate multimedia materials corresponding to the target object description information, and determine a creator account corresponding to the candidate multimedia material as a candidate creator account;

[0075] A submodule for obtaining the number of followed accounts is configured to obtain the number of followed accounts corresponding to each candidate creator account when there are multiple candidate creator accounts; the number of followed accounts is the number of user accounts that have a social relationship with the candidate creator account;

[0076] A target creator account determination submodule is configured to sort the candidate creator accounts according to the number of followed accounts, and determine the first candidate creator account in the front ranking as the target creator account;

[0077] The target multimedia material determination submodule is configured to determine the candidate multimedia material corresponding to the target creator account as the target multimedia material.

[0078] In an exemplary embodiment, the device further comprises:

[0079] The preset heat object acquisition module is configured to execute acquisition of the preset heat object; the preset heat object is an object whose historical virtual resource transfer volume data generated in the historical object sharing space within a preset historical time period is greater than or equal to a preset heat threshold;

[0080] A preset multimedia material determination module is configured to determine the multimedia material generated when the preset hot object is shared in the historical object sharing space within the preset historical time period as the preset multimedia material;

[0081] a material sharing confirmation request sending module, configured to execute sending a material sharing confirmation request to the preset creator account; the material sharing confirmation request includes the preset multimedia material; the preset creator account is a creator account corresponding to the historical object sharing space;

[0082] The material uploading module is used to upload the preset multimedia material to the material library after receiving the confirmation information from the preset creator account agreeing to upload the preset multimedia material.

[0083] In an exemplary embodiment, the recommendation module includes:

[0084] A target display component generation submodule is configured to generate a target display component corresponding to the target object according to the attribute information of the target creator account, the basic information of the target object and the target multimedia material;

[0085] The target display component sending submodule is configured to send the target display component to the target user account when the recommendation degree parameter meets the preset recommendation condition, so that the terminal corresponding to the target user account displays the target display component.

[0086] In an exemplary embodiment, the apparatus further comprises:

[0087] A preset recommendation method determination module, which determines at least one preset recommendation method corresponding to the target object according to the attribute information of the object publishing account corresponding to the target object;

[0088] The first list acquisition module is configured to execute, when receiving a multimedia material recommendation method usage request initiated by the object publishing account for the target object, to acquire a first list; the first list is a list of object publishing accounts with abnormal publishing operations;

[0089] A current configuration information acquisition module, configured to acquire the current configuration information of the target object when the object publishing account is not in the first list;

[0090] A current configuration information parsing module, configured to parse the current configuration information and determine a current recommendation method for the target object;

[0091] The target recommendation mode determination module is configured to add the multimedia material recommendation mode to the current recommendation mode to obtain the target recommendation mode when the current recommendation mode includes at least one of the preset recommendation modes.

[0092] In an exemplary embodiment, the apparatus further comprises:

[0093] A preset virtual resource distribution ratio acquisition module is configured to execute acquisition of the preset virtual resource distribution ratio corresponding to each of the currently recommended modes, and obtain multiple preset virtual resource distribution ratios;

[0094] A target virtual resource distribution ratio determination module is configured to determine the target virtual resource distribution ratio according to the size relationship of the plurality of preset virtual resource distribution ratios;

[0095] The current configuration information updating module is configured to determine the target virtual resource distribution ratio as the attribute value of the multimedia material recommendation method, and update the current configuration information based on the attribute value and the target recommendation method to obtain the target configuration information.

[0096] In an exemplary embodiment, the apparatus further comprises:

[0097] The interactive link acquisition module is configured to execute, after receiving the interactive information of the target user account performing the virtual resource transfer service for the target object, acquiring the interactive link corresponding to the interactive information; the interactive link includes the nodes contacted by the target user account during the virtual resource transfer service;

[0098] an attribution analysis module, configured to perform attribution analysis processing on the interaction information according to the interaction link to obtain a virtual resource distribution account;

[0099] The virtual resource distribution module is configured to distribute the virtual resource to the target creator account according to the target virtual resource distribution ratio when the virtual resource distribution account matches the target creator account.

[0100] In an exemplary embodiment, the attribution analysis module includes:

[0101] A second list acquisition submodule is configured to execute acquisition of a second list; the second list is a list of creator accounts with abnormal material creation operations;

[0102] The virtual resource distribution account determination submodule is configured to perform attribution analysis on the interaction information according to the interaction link to obtain the virtual resource distribution account when the target creator account is not in the second list.

[0103] In an exemplary embodiment, the target virtual resource distribution ratio determination module includes:

[0104] A target virtual resource distribution ratio determination submodule is configured to determine the maximum value of the preset virtual resource distribution ratios as the target virtual resource distribution ratio;

[0105] A preset ratio threshold determination submodule is configured to determine a preset ratio threshold according to the category information of the target object;

[0106] The ratio threshold comparison submodule is configured to determine the ratio threshold as the target virtual resource distribution ratio if the target virtual resource distribution ratio is greater than the preset ratio threshold.

[0107] According to a third aspect of an embodiment of the present disclosure, there is provided an electronic device, including:

[0108] processor;

[0109] a memory for storing instructions executable by the processor;

[0110] The processor is configured to execute the instructions to implement the object processing method as described above.

[0111] According to a fourth aspect of an embodiment of the present disclosure, a computer-readable storage medium is provided. When instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the object processing method as described above.

[0112] According to a fifth aspect of an embodiment of the present disclosure, a computer program product is provided, including a computer program, which implements the object processing method as described above when executed by a processor.

[0113] The technical solution provided by the embodiments of the present disclosure brings at least the following beneficial effects:

[0114] In the embodiment of the present disclosure, the target configuration information of the target object is obtained; when the target recommendation method includes a multimedia material recommendation method, the target multimedia material corresponding to the target object is found from the material library according to the target object description information, and the target creator account who created the target multimedia material is determined; the historical virtual resource list of the target user account is obtained, and the first interest level of the target user account in the target object is determined according to the similarity between the interactive object in the historical virtual resource list and the target object; the recommendation degree parameter of the target object is determined according to the first interest level of the target user account in the target object and the second interest level of the target user account in the target creator account; when the recommendation degree parameter meets the preset recommendation condition, the target object is recommended to the target user account. In the embodiment of the present disclosure, the target multimedia material is first found according to the target object description information, and the target creator account corresponding to the target multimedia material is determined, and the object recommendation is performed by comprehensively considering the first interest level of the target user account in the target object and the second interest level of the target user account in the target creator account, thereby improving the accuracy of the object recommendation. In addition, the target multimedia material of the target creator can be used to comprehensively and intuitively display the object information to the target user account during the recommendation process, enriching the object recommendation form. At the same time, for the target user account, there is no need to always pay attention to whether the target creator is sharing the target object in the object sharing space, which improves the purchasing efficiency and further improves the accuracy of object recommendation.

[0115] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0116] The drawings herein are incorporated into and constitute a part of the specification, illustrate embodiments consistent with the present disclosure, and together with the description are used to explain the principles of the present disclosure, and do not constitute improper limitations on the present disclosure.

[0117] Figure 1 The invention is a diagram showing an application environment of an object processing method according to an exemplary embodiment.

[0118] Figure 2 The invention is a flowchart of an object processing method according to an exemplary embodiment.

[0119] Figure 3 The figure is a flowchart of a method for constructing a material library according to an exemplary embodiment.

[0120] Figure 4 The figure is a flow chart showing a method for determining a recommendation degree parameter according to an exemplary embodiment.

[0121] Figure 5It is a schematic diagram showing a target display component according to an exemplary embodiment.

[0122] Figure 6 It is a schematic diagram of a virtual shelf according to an exemplary embodiment.

[0123] Figure 7 The present invention is a flowchart showing a method for requesting a multimedia material recommendation mode according to an exemplary embodiment.

[0124] Figure 8 The present invention is a flowchart showing a method for distributing virtual resources according to an exemplary embodiment.

[0125] Fig. 9 The figure is a flowchart of an attribution settlement link according to an exemplary embodiment.

[0126] Fig.10 The present invention is a flowchart of a method for processing a multimedia material recommendation mode according to an exemplary embodiment.

[0127] Fig.11 The invention is a block diagram of an object processing device according to an exemplary embodiment.

[0128] Fig.12 It is a block diagram of a server according to an exemplary embodiment.

[0129] Fig.13 It is a block diagram of an electronic device for object processing according to an exemplary embodiment. DETAILED DESCRIPTION

[0130] In order to enable ordinary persons in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings.

[0131] It should be noted that the terms "first", "second", etc. in the specification and claims of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0132] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for display, data for analysis, etc.) involved in this disclosure are all information and data authorized by the user or fully authorized by all parties.

[0133] Figure 1 The invention is a diagram showing an application environment of an object processing method according to an exemplary embodiment.

[0134] like Figure 1 As shown, the application environment may include a first client 01, a second client 02, and a server 03. The first client 01 includes, but is not limited to, physical devices such as smart phones, desktop computers, tablet computers, laptops, digital assistants, smart wearable devices, and vehicle-mounted clients, and may also include software running in physical devices, such as web pages provided to users by some service providers, or applications provided to users by these service providers. Specifically, the first client 01 may be a consumer user end, and the first client 01 may be used to receive a target object sent by the server 03, that is, a product recommended by the server 03 to the first client 01, and the first client 01 further displays the product to the user so that the user can purchase the product through the e-commerce platform.

[0135] The second client 02 includes but is not limited to physical devices such as smart phones, desktop computers, tablet computers, laptops, digital assistants, smart wearable devices, and car-mounted clients, and may also include software running in physical devices, such as web pages provided to users by some service providers, or applications provided to users by these service providers. Specifically, the second client 02 can be a live streamer, which can be used to create materials, that is, to explain the products in the live broadcast room. The second client 02 can also upload multimedia material slices formed by the product explanation to the server 03.

[0136] The server 03 may include an independently operated server, or a distributed server, or a server cluster composed of multiple servers, and may also be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN (Content Delivery Network), and big data and artificial intelligence platforms. The server 03 may include a network communication unit, a processor, and a memory, etc. Specifically, the server 03 may be used to receive multimedia material slices uploaded by the second client 02 and form a material library, and to find the target multimedia material corresponding to the target object from the material library according to the target object description information, and determine the target creator account corresponding to the target multimedia material; according to the first interest level of the user account corresponding to the first client 01 in the target object and the second interest level of the user account in the target creator account, determine whether to recommend the target object to the user account.

[0137] In the prior art, live streaming and traditional shelf delivery have become the two mainstream delivery methods of today's e-commerce platforms. Among them, live streaming has the advantages of anchor credit endorsement and content-based materials, but the efficiency of commodity selection is insufficient, and it is highly dependent on real-time performance. Users need to pay attention to the live broadcast room at all times to know the progress of commodity explanations, and the timeliness is poor. Traditional shelf delivery has the characteristics of high shopping guide efficiency, high distribution and browsing efficiency, and mature recommendation strategies, but the commodity display content is mostly provided by merchants, the content is single and there is no credit endorsement, resulting in a low probability of users purchasing shelf commodities. On this basis, the disclosed embodiment provides an object processing method, which combines live streaming and shelf delivery to recommend the content-based live broadcast materials that the anchor used to bring goods to users in the form of aggregated shelves, thereby improving the accuracy of commodity recommendations.

[0138] Figure 2 FIG. 1 is a flowchart of an object processing method according to an exemplary embodiment. Figure 2 As shown, this method can be applied to Figure 1 The server 03 includes the following steps.

[0139] In step S201, target configuration information of a target object is obtained;

[0140] The target configuration information includes target object description information and target recommendation method of the target object.

[0141] The target object is the commodity object, which is published on the e-commerce platform by the object publishing account. The object publishing account is the merchant on the e-commerce platform. The target object can be understood as a candidate recommendation object, that is, an object to be determined whether to be recommended to the user.

[0142] The target configuration information may be information obtained by configuring the target object through the object publishing account. It includes target object description information and target recommendation method. The target object description information is used to describe the content or category of the target object, which can be understood as the title of the product. The target recommendation method can be understood as the method of recommending the product, such as the general sharing recommendation method, the product hosting recommendation method, the multimedia material recommendation method, etc.

[0143] In step S203, when the target recommendation method includes a multimedia material recommendation method, a target multimedia material corresponding to the target object is searched from a material library according to the target object description information, and a target creator account who created the target multimedia material is determined;

[0144] The material library includes multimedia materials generated when a preset object is shared in the object sharing space.

[0145] The object sharing space can include the anchor's live broadcast room or other virtual spaces; the creator account is the account that creates multimedia materials. The creator account can be understood as the anchor's account; when the creator account shares objects in the object sharing space, it can form multimedia materials such as video clips or audio clips explaining the product.

[0146] It should be noted that the material library is pre-built and used to store multimedia materials generated when sharing preset objects in the object sharing space. Multimedia materials can be understood as video clips or audio clips generated by live broadcasting of preset products. The content of multimedia materials includes but is not limited to detailed information, pricing information, and evaluation information of preset objects. Compared with static product images, the content of multimedia materials is richer, so when displaying products to user accounts, more comprehensive, detailed, and convincing product information can be provided, which is conducive to improving the user's product selection efficiency.

[0147] In step S205, a historical virtual resource list of the target user account is obtained, and a first interest level of the target user account in the target object is determined based on the similarity between the interactive objects in the historical virtual resource list and the target object.

[0148] The historical virtual resource list includes a plurality of interactive objects; the interactive objects are objects to which the target user account performs virtual resource transfer operations within a preset historical time period;

[0149] The target user account is a consumer-side account. The historical virtual resource list can be a historical order, and correspondingly, the interactive objects in the historical virtual resource list can be commodities that the target user has purchased. The historical virtual resource list can also be a shopping cart list, and correspondingly, the interactive objects in the historical virtual resource list can be commodities that the target user has added to the shopping cart but has not yet purchased. In the embodiment of the present disclosure, the first interest level of the target user account in the target object can be determined through the interactive objects in the historical virtual resource list. In an example, assuming that there is a "thermos cup" among the interactive objects in the historical virtual resource list, and the target object is a "cup brush", it can be determined that the target user account has a high degree of interest in the target object and a high probability of purchasing it. For another example, if the target object is a "display", it can be determined that the target user account has a low degree of interest in the target object and a low probability of purchasing it.

[0150] In step S207, a recommendation parameter of the target object is determined according to a first interest level of the target user account in the target object and a second interest level of the target user account in the target creator account;

[0151] Since in step S203, the target multimedia material corresponding to the target object and the target creator account corresponding to the target multimedia material have been determined, the target user account's interest in the target creator account, that is, the second interest level, can be determined. It should be understood that if the target user account has a high interest in the target creator account, the target user account has a higher probability of purchasing the preset object shared by the target creator account in the object sharing space. In an example, assuming that the target user account has a high interest in creator account A, and assuming that the target object is product B, it is found from the material library that creator account A has shared multimedia materials formed by product B in the object sharing space. At this time, creator account A is the target creator account, and it can be determined that the target user account has a high probability of purchasing product B.

[0152] The recommendation parameter of the target object may be determined by comprehensively analyzing the first interest level of the target user account in the target object and the second interest level of the target user account in the target creator account.

[0153] In one implementation, the first interest level and the second interest level may be set with corresponding proportional factors to determine the recommendation parameter. In another implementation, the first interest level and the second interest level may be set to a larger value or a smaller value as the recommendation parameter.

[0154] In step S209, when the recommendation degree parameter meets the preset recommendation condition, the target object is recommended to the target user account.

[0155] In one implementation, the preset recommendation condition may be a threshold condition, that is, when the recommendation degree parameter is greater than a preset threshold, the target object is recommended to the target user account; in another implementation, the recommendation level may also be determined based on the recommendation degree parameter, and when the recommendation level is within a preset level range, the target object is recommended to the target user account.

[0156] In the embodiment of the present disclosure, the target configuration information of the target object is obtained; when the target recommendation method includes a multimedia material recommendation method, the target multimedia material corresponding to the target object is found from the material library according to the target object description information, and the target creator account who created the target multimedia material is determined; the historical virtual resource list of the target user account is obtained, and the first interest level of the target user account in the target object is determined according to the similarity between the interactive object in the historical virtual resource list and the target object; the recommendation degree parameter of the target object is determined according to the interest level of the target user account in the target object and the second interest level of the target user account in the target creator account; when the recommendation degree parameter meets the preset recommendation condition, the target object is recommended to the target user account. In the embodiment of the present disclosure, the target multimedia material is first found according to the target object description information, and the target creator account corresponding to the target multimedia material is determined, and the object recommendation is performed by comprehensively considering the first interest level of the target user account in the target object and the second interest level of the target user account in the target creator account, thereby improving the accuracy of the object recommendation. In addition, the target multimedia material of the target creator can be used to comprehensively and intuitively display the object information to the target user account during the recommendation process, enriching the object recommendation form. At the same time, for the target user account, there is no need to always pay attention to whether the target creator is sharing the target object in the object sharing space, which improves the purchasing efficiency and further improves the accuracy of object recommendation.

[0157] It should be noted that the method provided by the present application can be used for hot live broadcasts within a historical time period. In one embodiment, the method provided by the present application may also include: in response to an object recommendation request of the target user account, obtaining the historical virtual resource transfer volume data generated by the preset object in the historical object sharing space within a preset historical time period; determining the preset object whose historical virtual resource transfer volume data is greater than or equal to the preset heat threshold as the target object. The historical virtual resource transfer volume data can be understood as the historical live broadcast room transaction volume of the preset object. The preset heat threshold can be set according to actual needs, and the present application does not limit the specific value of the preset heat threshold.

[0158] In the disclosed embodiment, if the historical virtual resource transfer volume data is greater than or equal to the preset heat threshold, it means that the preset object was once a heat object, and the preset object can be treated as the target object of the present application for subsequent processing, so that the objects recommended to the target user account are all heat objects, so as to facilitate the target user account to select. In addition, by pre-screening the preset objects, the process of searching and matching multimedia materials in the material library for non-heat objects can be avoided, thereby avoiding the waste of computing resources.

[0159] Figure 3 FIG. 1 is a flow chart showing a method for constructing a material library according to an exemplary embodiment. Figure 3 As shown, the method comprises the following steps:

[0160] In step S301, a preset heat object is obtained;

[0161] The preset heat object is an object whose historical virtual resource transfer volume data generated in the historical object sharing space within a preset historical time period is greater than or equal to a preset heat threshold;

[0162] In step S303, the multimedia material formed when the preset hot object is shared in the historical object sharing space within the preset historical time period is determined as the preset multimedia material;

[0163] The historical virtual resource transfer volume data can be understood as the historical live broadcast room transaction volume of the preset object. In one implementation method, the transaction volume can be the total number of sales of the preset object. In another implementation method, the transaction volume can also be the total amount of virtual resources transferred by the user account for the preset object within a preset historical time period, that is, the transaction amount.

[0164] It should be understood that the larger the value of the historical virtual resource transfer volume data, the higher the popularity of the preset object. This application first obtains the object whose historical virtual resource transfer volume data is greater than or equal to the preset popularity threshold in the preset object as the preset popularity object, and then further obtains the preset multimedia material formed when the preset popularity object is shared in the historical object sharing space, as the content material that needs to be displayed in the multimedia material recommendation method.

[0165] In step S305, a material sharing confirmation request is sent to a preset creator account;

[0166] The material sharing confirmation request includes a preset multimedia material; the preset creator account is a creator account corresponding to the historical object sharing space;

[0167] The preset multimedia materials include live content clips related to the preset hot objects in the corresponding historical object sharing space. When building the material library, a material sharing confirmation request can be sent to the creator account corresponding to the historical object sharing space to enable the corresponding creator account to confirm whether to authorize the use of the preset multimedia materials.

[0168] In step S307, after receiving confirmation information from the preset creator account agreeing to upload the preset multimedia material, the preset multimedia material is uploaded to the material library.

[0169] It should be noted that when uploading the preset multimedia material to the material library, the preset creator account corresponding to the preset multimedia material can be stored. At the same time, the object description information of the preset object is stored so that the object description information forms a corresponding relationship with the preset multimedia material, so as to facilitate the subsequent search of the multimedia material.

[0170] In the disclosed embodiment, firstly, a preset popularity object can be determined based on the historical virtual resource transfer data, and then the multimedia material of the preset popularity object in the historical live broadcast room can be obtained, and a material sharing request confirmation is made to the creator account corresponding to the live broadcast room, thereby constructing a material library for the objects with higher popularity in the historical live broadcast room, that is, the historical live broadcast hot-selling products. In this application, the preset popularity object is first determined, which improves the storage efficiency of the material library.

[0171] In one embodiment, the target multimedia material corresponding to the target object is searched from the material library according to the target object description information, and the target creator account corresponding to the target multimedia material is determined, which may include: searching for candidate multimedia materials corresponding to the target object description information from the material library, and determining the creator account corresponding to the candidate multimedia material as the candidate creator account; when there are multiple candidate creator accounts, obtaining the number of follow accounts corresponding to each candidate creator account; wherein the number of follow accounts is the number of user accounts that have a social relationship with the candidate creator account; the follow accounts may be user accounts that have a social relationship with the candidate creator account; sorting each candidate creator account according to the number of follow accounts, and determining the first candidate creator account in the front ranking as the target creator account; and at the same time determining the candidate multimedia material corresponding to the target creator account as the target multimedia material.

[0172] When the target recommendation method includes multimedia material recommendation, first Figure 3The material library constructed by the method shown can be used to find out whether there are corresponding multimedia materials, namely candidate multimedia materials, and at the same time, the creator account corresponding to the candidate multimedia material, namely the candidate creator account, can be determined. If there is one candidate creator account, the candidate creator account is determined as the target creator account. If there are multiple candidate creator accounts, in one implementation method, one of the candidate creator accounts can be randomly selected as the target creator account; in another implementation method, the target creator account can also be determined based on the number of fans of the candidate creator account, and the candidate creator account with the highest number of fans can be determined as the target creator account. After determining the target creator account, the candidate multimedia material corresponding to the target creator account is further determined as the target multimedia material.

[0173] In the disclosed embodiment, when there are multiple candidate creator accounts, the target creator account and target multimedia material are determined based on the number of follower accounts, so that when displaying product information, the target multimedia material can provide higher interest appeal by utilizing the trust endorsement possessed by the target creator, thereby improving the accuracy of object recommendation.

[0174] In one embodiment, determining the first level of interest of the target user account in the target object based on the similarity between the interactive objects in the historical virtual resource list and the target object can include: constructing a set of objects on which the target user account performed interactive operations within a preset historical time period and the interactive objects in the historical virtual resource list to obtain a historical interactive object set; determining the first level of interest of the target user account in the target object based on the similarity between the target object and each historical interactive object in the historical interactive object set.

[0175] It should be noted that the historical interactive object set includes multiple historical interactive objects. The historical interactive object can be an interactive object in the historical virtual resource list, that is, a commodity in the historical shopping list of the user account. The historical interactive object can also be an interactive object in the shopping cart list, that is, a commodity that has been added to the shopping cart but not purchased. The historical interactive object can also be an object that the user account has historically clicked on, an object that has historically searched, etc. The present application does not limit the specific definition of the historical interactive object. All objects that have interacted with the user account in a preset historical time period can be used as historical interactive objects. According to the similarity between the target object and each historical interactive object, the first interest level can be obtained. Among them, the similarity can be determined by the object description information. In one example, the target object description information can be vectorized to obtain a target object description vector; and the interactive object description information of each historical interactive object can be vectorized to obtain an interactive object description vector corresponding to each historical interactive object, and then the similarity between the target object description vector and each interactive object description vector is calculated, and summation and normalization operations are performed to obtain the first interest level.

[0176] In the disclosed embodiment, by determining the similarity between the target object and each historical interaction object in the historical interaction object set, the first interest level can fully and accurately represent the target user account's purchase intention for the target object, thereby improving the accuracy of object recommendation.

[0177] Figure 4 FIG. 1 is a flow chart showing a method for determining a recommendation parameter according to an exemplary embodiment. Figure 4 As shown, determining the recommendation parameter of the target object according to the first interest level of the target user account in the target object and the second interest level of the target user account in the target creator account may include the following steps.

[0178] In step S401, object interaction operation information of a target user account in an object sharing space of a target creator account within a preset historical time period is obtained;

[0179] The object interaction operation information of the target user account in the object sharing space of the target creator account within the preset historical time period includes but is not limited to the historical viewing time information, historical comment information, historical order operation information, historical object click operation information, etc. of the target user account in the object sharing space of the target creator account within the preset historical time period.

[0180] In step S403, a list of creator accounts that have a social relationship with the target user account is obtained, and it is detected whether the target creator account is in the list of creator accounts to obtain an account relationship detection result;

[0181] The list of creator accounts that have social relationships with the target user account can be understood as a list formed by the creator accounts among the accounts followed by the target user account. By detecting whether the target creator account is in the creator list, it can be determined whether the target user account is following the target creator account.

[0182] In step S405, the second level of interest of the target account in the target creator account is determined based on the object interaction operation information and the account relationship detection result.

[0183] In one implementation, corresponding proportional factors of historical viewing time information, historical comment information, historical order operation information, and historical object click operation information may be set respectively, and weighted summation may be performed to determine the first score corresponding to the object interaction operation information;

[0184] In one implementation, the second score can be set according to the account relationship detection result. In one example, if the account relationship detection result indicates that the target user account follows the target creator account, the value of the second score can be set to a larger value, such as 1; if the account relationship detection result indicates that the target user account does not follow the target creator account, the value of the second score can be set to a smaller value, such as 0. It should be understood that the value of the second score here is only for example, and this application does not limit the specific value of the second score.

[0185] The second level of interest can be obtained by combining the first score corresponding to the above-mentioned object interaction operation information and the second score corresponding to the account relationship detection result, thereby accurately representing the target user account's interest level in the target creator account by integrating multi-dimensional information.

[0186] In step S407, a recommendation degree parameter is obtained according to the first interest level and the second interest level.

[0187] In one implementation, the first interest level and the second interest level may be weighted according to a preset weighting factor to obtain a recommendation parameter. The preset weighting factor may be determined according to actual needs. For example, the weighting factor corresponding to the first interest level may be 0.4, the first interest level is numerically equal to 0.8, the weighting factor corresponding to the second interest level may be 0.6, the second interest level is numerically equal to 0.7, and the recommendation parameter may be determined to be 0.74.

[0188] In the disclosed embodiment, the second interest level combines the object interaction operation information and the account relationship detection result, and comprehensively considers multi-dimensional factors, so that the second interest level can comprehensively and accurately represent the interest level of the target user account in the target creator account. In addition, in the disclosed embodiment, by combining the first interest level and the second interest level, a recommendation parameter is obtained, so that when recommending a commodity object to the target user account, not only the association relationship between the commodity object and the target user account is taken into account, but also the association relationship between the creator account and the target user account is taken into account, thereby achieving more targeted personalized object recommendations and effectively improving the accuracy of commodity object recommendations.

[0189] In one embodiment, when the recommendation degree parameter meets the preset recommendation condition, recommending the target object to the target user account may include: generating a target display component corresponding to the target object based on the attribute information of the target creator account, the basic information of the target object, and the target multimedia material; when the recommendation degree parameter meets the preset recommendation condition, sending the target display component to the target user account so that the terminal corresponding to the target user account displays the target component.

[0190] The attribute information of the target creator account may include the avatar, account name and other information of the target creator account, and the basic information of the target object may include the object name, historical sales volume, price and other information. Figure 5 FIG. 1 is a schematic diagram showing a target display component according to an exemplary embodiment. Figure 5 As shown, assuming that the target object is item AA of brand A, the target multimedia material is video 1, and the target creator account name is B, the generated target display component can display "Recommended by creator B" and display the target multimedia material as a product introduction, so as to display it to the user. The target display component may also include a playback control. In one implementation, the target multimedia material can be played in response to a click operation based on the playback control. In another implementation, the position of the target display component on the preset display page can also be detected, and when the target display component is detected to be in the middle position of the preset display page, the target multimedia material is automatically played. It should be noted that this application does not limit the attribute information of the target creator account in the target display component, the basic information of the target object, and the specific position of the target multimedia material when combined, nor does it limit the timing of the target playing of the media material.

[0191] In the disclosed embodiment, a target display component is generated based on the attribute information of the target creator account, the basic information of the target object, and the target multimedia material and sent to the target user account. The richness of the object display information is improved by using the content-based multimedia material, and the attribute information of the target creator account is used to improve the user's trust in the information displayed by the target object, thereby further improving the accuracy of object recommendation.

[0192] Figure 6 FIG. 1 is a schematic diagram of a virtual shelf according to an exemplary embodiment. Figure 6 As shown, multiple target display components can be sorted according to the recommendation degree parameters of the target objects, and the position of the target display components in the preset page is determined according to the sorting order. The preset page can be as follows Figure 6 The live broadcast hit page shown. Figure 6 The target objects in the page are all popular products in the object sharing space within the past 24 hours, and combined with the recommendation parameters, the objects recommended on this page are all the objects that the target user account has the highest interest in and the objects that have been shared in the object sharing space of the target creator account with the second highest interest in the target user account, which effectively improves the accuracy of object recommendation. By clicking on a display component on this page, you can quickly jump to the product details page without having to enter the live broadcast room to purchase. By recommending target objects to target user accounts through virtual shelves, users can quickly purchase the same products as those shown in the live broadcast without having to stay in the live broadcast room, which improves the efficiency of object processing.

[0193] Figure 7 The flowchart of a method for requesting a multimedia material recommendation mode according to an exemplary embodiment is shown. Before obtaining the target configuration information of the target object, the method provided by the present application further includes the following steps.

[0194] In step S701, at least one preset recommendation method corresponding to the target object is determined according to the attribute information of the object publishing account corresponding to the target object.

[0195] The object publishing account can be understood as a merchant account. The attribute information of the object publishing account may include the merchant's store rating, historical commodity transaction volume data, etc. According to the attribute information of the object publishing account, at least one preset recommendation method for the target object can be provided to the object publishing account. The preset recommendation methods include but are not limited to ordinary sharing recommendation methods, commodity hosting recommendation methods, etc. The ordinary sharing recommendation method is to publish the target object in the commodity sharing pool for the creator account to choose to share the object. The commodity hosting method is to publish the target object in the commodity hosting queue so that the hosting operation account of the hosting queue can apply a recommendation method suitable for the target object.

[0196] The object publishing account may refer to the preset recommendation method determined above to configure the recommendation method for the target object.

[0197] In step S703, when a multimedia material recommendation method usage request initiated by the object publishing account for the target object is received, a first list is obtained;

[0198] The first list is a list of object publishing accounts with abnormal publishing operations;

[0199] In step S705, when the object publishing account is not in the first list, the current configuration information of the target object is obtained.

[0200] Abnormal publishing operations include but are not limited to publishing false objects. When a multimedia material recommendation method usage request for a target object is received from an object publishing account, the first list is obtained. If the object publishing account is not in the first list, the current configuration information of the target object is obtained, thereby performing access verification on the object publishing account.

[0201] In step S707, the current configuration information is parsed to determine the current recommendation method for the target object;

[0202] The object publishing account has the authority to configure the recommendation method for the target object. Therefore, the object publishing account can select one or more of the at least one preset recommendation method corresponding to the target object determined in step S701 as the current recommendation method for the target object. In addition, the object publishing account may not select the above preset recommendation method. By parsing the current configuration information, the recommendation method currently being applied to the target object can be obtained.

[0203] In step S709, when the current recommendation method includes at least one preset recommendation method, the multimedia material recommendation method is added to the current recommendation method to obtain a target recommendation method.

[0204] Generally, the object publishing account configures multiple preset recommendation methods for the target object to recommend the object. In the disclosed embodiment, the multimedia material recommendation method has a higher priority than other preset recommendation methods. When the current recommendation method includes at least one preset recommendation method, it is determined that the target object can apply the multimedia material recommendation method.

[0205] In the disclosed embodiment, access verification is performed through the object publishing account and the current recommendation method of the target object is verified, so as to determine whether the target object can apply the multimedia material recommendation method, thereby improving the efficiency of the object recommendation process.

[0206] After the target recommendation method is obtained in the above embodiment, the method provided by the present application also includes: obtaining the preset virtual resource distribution ratio corresponding to each current recommendation method to obtain multiple preset virtual resource distribution ratios; determining the target virtual resource distribution ratio according to the size relationship of the multiple preset virtual resource distribution ratios; determining the target virtual resource distribution ratio as the attribute value of the multimedia material recommendation method, and updating the current configuration information based on the attribute value and the target recommendation method to obtain the target configuration information.

[0207] The preset virtual resource distribution ratio can be understood as a profit-sharing ratio. When configuring the recommendation method, the object publishing account usually sets the corresponding profit-sharing ratio so that the virtual resources obtained after the target object is traded can be accurately distributed. Each recommendation method corresponds to a virtual resource distribution ratio. The virtual resource distribution ratio of the multimedia material recommendation method is determined by the preset virtual resource distribution ratio corresponding to the current recommendation method. After the multimedia material recommendation method is added to the current recommendation method, its corresponding virtual resource distribution ratio is determined as the attribute value to update the current configuration information.

[0208] In the disclosed embodiment, by setting the target virtual resource distribution ratio corresponding to the multimedia material recommendation method, the target configuration information is made more complete. At the same time, it is convenient to accurately determine the allocation of virtual resources according to the target virtual resource distribution ratio in the subsequent process, thereby improving the object processing efficiency.

[0209] In one embodiment, determining the target virtual resource distribution ratio according to the size relationship of multiple preset virtual resource distribution ratios may include: determining the maximum value of the preset virtual resource distribution ratios as the target virtual resource distribution ratio; determining the preset ratio threshold according to the category information of the target object; when the target virtual resource distribution ratio is greater than the preset ratio threshold, determining the ratio threshold as the target virtual resource distribution ratio. The preset ratio threshold is related to the category information of the target object. For example, if the target object is a cross-border commodity, the preset ratio threshold can be set to 75%, and if the target object is fresh food, the preset ratio threshold can be set to 90%. Determining the preset ratio threshold by the category of the object makes the target resource allocation ratio more reasonable and also makes the subsequent virtual resource allocation more balanced.

[0210] In the disclosed embodiment, by determining the maximum value of the preset virtual resource distribution ratio as the target virtual resource, the virtual resource distribution ratio of the multimedia material recommendation method is the highest, which effectively improves the creator account's willingness to share the material of the target object, so that more multimedia materials can be included in the material library, improving the content richness of the material library, which is conducive to improving the accuracy of object recommendation.

[0211] Figure 8 FIG. 1 is a flow chart showing a method for distributing virtual resources according to an exemplary embodiment. Figure 8 As shown, after recommending the target object to the target user account, the method provided by the present application also includes the following steps.

[0212] In step S801, after receiving the interaction information of the target user account performing the virtual resource transfer service for the target object, the interaction link corresponding to the interaction information is obtained;

[0213] The interactive link includes nodes contacted by the target user account during the virtual resource transfer service;

[0214] After the target user account purchases the target product, it is necessary to analyze the target user account's purchase decision path, that is, to attribute the interaction information. It should be understood that before the target user account finally decides to purchase the target product, it often contacts multiple interaction nodes. In one example, suppose the target user account first enters the homepage of the e-commerce platform, searches on its own, sees object A on the search results list page, and clicks to enter the product details page of object A, but does not perform virtual resource transfer business on this page. Then exit the search results list page and enter the following Figure 6In the preset page shown, when browsing the recommended objects, the user sees object B shared by creator account D, clicks the display component corresponding to creator account D to enter the product details page of object B, clicks the jump link of object A in the similar recommendation column in the product details page of object B, and enters the product details page of object A again, but still does not purchase it, and continues to browse on the preset page, and sees object A shared by creator account C, clicks the display component corresponding to creator account C to enter the details page of object A, and then purchases object A. In this process, the interactive link includes multiple nodes, such as search, multimedia material recommendation, display component corresponding to creator account D, similar recommendation, and display component corresponding to creator account C.

[0215] In step S803, the interaction information is subjected to attribution analysis according to the interaction link to obtain a virtual resource distribution account;

[0216] In the disclosed embodiment, the last attribution strategy can be applied to perform attribution analysis. The last attribution strategy is to assume that the contribution made by the last node to the generation of the virtual resource transfer business is 100%. Still taking the example of step S801 as an example, in this example, the virtual resource distribution account obtained by the attribution analysis is the creator account C. It should be noted that other attribution strategies can also be used for attribution analysis, such as time screening attribution, etc. This application does not limit the specific strategy of attribution analysis.

[0217] It should be noted that in the disclosed embodiment, a second list may be obtained first; the second list is a list of creator accounts with abnormal material creation operations; when the target creator account is not in the second list, the interactive information is attributed and analyzed according to the interactive link to obtain a virtual resource distribution account. Abnormal material creation operations include but are not limited to exaggerating the function of the target object, sharing false objects, and other operations.

[0218] In the disclosed embodiment, when the target creator account is not in the second list, the interaction information is attribution analyzed and processed according to the interaction link, thereby performing a blacklist check on the target creator account to ensure the rationality of virtual resource allocation.

[0219] In step S805, when the virtual resource distribution account matches the target creator account, the virtual resource is distributed to the target creator account according to the target virtual resource distribution ratio. When the virtual resource distribution account is the same as the target creator account, it can be considered that the virtual resource distribution account matches the target creator account. This process can be understood as an account verification process. If they match, it means that the target creator account has contributed to the generation of the virtual resource transfer business, and the virtual resource is distributed to the target creator account according to the target virtual resource distribution ratio.

[0220] In the disclosed embodiment, attribution analysis is performed on the interaction information according to the interaction link to obtain a virtual resource distribution account, and the account is verified. If the virtual resource distribution account matches the target creator account, the virtual resources are distributed to the target creator account according to the target virtual resource distribution ratio, thereby making the virtual resource allocation in the multimedia material recommendation method more reasonable and accurate, and improving the object processing efficiency.

[0221] Fig. 9 The figure is a flowchart of an attribution settlement link according to an exemplary embodiment.

[0222] Attribution settlement refers to analyzing the user's behavior path to determine which promotion channel or promoter played a decisive role in the final conversion, thereby allocating commissions to the corresponding promotion channel or promoter. It can include the following steps.

[0223] In step S901, the transaction scenario of the target object of the transaction is determined. If it is a distribution and delivery scenario, step S902 is executed; otherwise, step S903 is executed.

[0224] In step S902, attribution settlement is performed using the original distribution attribution billing link.

[0225] In step S903, the transaction channel of the target object of the transaction is determined. If it is not a multimedia material recommendation method, step S904 is executed; otherwise, step S905 is executed.

[0226] In step S904, no cost per sale (CPS) is performed. CPS attribution is an important part of the CPS model, which can ensure the reasonable allocation of settlement resources.

[0227] In step S905, determine whether the target creator account is in the blacklist. If not, continue to execute steps S906 and S907, otherwise terminate the attribution settlement link.

[0228] The blacklist can be regarded as a specific example of the second list in the above embodiment.

[0229] In step S906, payment attribution billing is performed. This step can be regarded as Figure 8 A specific example of the method shown is not described in detail here.

[0230] In step S907, the virtual resource allocation ratio corresponding to the multimedia material recommendation method is determined. This may include the target creator account's share ratio A% and the e-commerce platform's share ratio X%, etc. The specific values ​​can be configured by the merchant account. For the specific implementation of this step, refer to the above-mentioned embodiment of obtaining the target configuration information, which will not be repeated here.

[0231] In step S908, settlement allocation of virtual resources is performed according to the attribution billing results in steps S902, S904 and S907, thereby realizing attribution settlement efficiently.

[0232] Fig.10 FIG. 1 is a flowchart of a method for processing a multimedia material recommendation method according to an exemplary embodiment. Fig.10 As shown, the method may include the following steps.

[0233] In step S1001, the main product is shipped.

[0234] The consignee's product can be regarded as a specific example of the object published in the object publishing account in the above embodiment, that is, the merchant's product.

[0235] In step S1002, the recommendation method of the target object is determined. If the target object is not configured with a recommendation method, the commodity card distribution process for the target object is terminated; if the recommendation method of the target object includes a multimedia material recommendation method, step S1003 is continued.

[0236] In step S1003, the cooperation expert is determined. If there is no cooperation expert, the commodity card distribution process for the target object is terminated; if there is a cooperation expert, step S1004 is continued.

[0237] The cooperating expert can be regarded as a specific example of the target creator account in the above embodiment.

[0238] In step S1004, determine whether expert A is in the collection of selling point experts. If so, execute step S1005, otherwise execute step S1006.

[0239] In step S1005, "recommended by expert A" is expressed on the product card.

[0240] The product card can be regarded as a specific example of the target display component in the above embodiment, which is used to display the product of the owner on the virtual shelf.

[0241] In step S1006, the consignor's product carrying the attribution tracking parameter is sent. The attribution tracking parameter is used to form the interactive link in the above embodiment to facilitate attribution judgment.

[0242] In step S1007, the transaction link attribution is determined. This step may include: Fig. 9 The method shown will not be repeated here.

[0243] Fig.11 is a block diagram of an object processing device according to an exemplary embodiment. Fig.11The device 1100 includes a target configuration information acquisition module 1101, a multimedia material search module 1102, a first interest level determination module 1103, a recommendation level parameter determination module 1104 and a recommendation module 1105.

[0244] The target configuration information acquisition module 1101 is configured to execute acquisition of target configuration information of a target object; the target configuration information includes target object description information and target recommendation method of the target object;

[0245] The multimedia material search module 1102 is configured to perform, when the target recommendation method includes a multimedia material recommendation method, searching for a target multimedia material corresponding to the target object from a material library according to the target object description information, and determining a target creator account that created the target multimedia material; the material library includes multimedia materials formed when a preset object is shared in an object sharing space;

[0246] The first interest level determination module 1103 is configured to execute obtaining a historical virtual resource list of a target user account, and determine a first interest level of the target user account in the target object according to a similarity between an interactive object in the historical virtual resource list and the target object; the historical virtual resource list includes a plurality of interactive objects; the interactive object is an object to which the target user account performs a virtual resource transfer operation within a preset historical time period;

[0247] The recommendation parameter determination module 1104 is configured to determine the recommendation parameter of the target object according to the first interest level of the target user account in the target object and the second interest level of the target user account in the target creator account;

[0248] The recommendation module 1105 is configured to recommend the target object to the target user account when the recommendation degree parameter meets a preset recommendation condition.

[0249] In some embodiments, the first interest level determination module may include:

[0250] A historical interactive object set determination submodule is configured to construct a set of objects interactively operated by the target user account within a preset historical time period and interactive objects in the historical virtual resource list to obtain a historical interactive object set;

[0251] The similarity determination submodule is configured to determine a first interest level of the target user account in the target object based on the similarity between the target object and each historical interaction object in the historical interaction object set.

[0252] In some embodiments, the recommendation parameter determination module may include:

[0253] The object interaction operation information acquisition submodule is configured to execute acquisition of the object interaction operation information of the target user account in the object sharing space of the target creator account within the preset historical time period;

[0254] An account relationship detection result determination submodule is configured to execute acquisition of a list of creator accounts that have a social relationship with the target user account, and to detect whether the target creator account is in the creator list, to obtain an account relationship detection result;

[0255] A second interest level determination submodule is configured to determine a second interest level of the target user account in the target creator account based on the object interaction operation information and the account relationship detection result;

[0256] The recommendation degree parameter determination submodule is configured to obtain the recommendation degree parameter according to the first interest degree and the second interest degree.

[0257] In some embodiments, the apparatus may further include:

[0258] A historical virtual resource transfer volume data acquisition module is configured to execute in response to the object recommendation request of the target user account, and acquire historical virtual resource transfer volume data generated by a preset object in a historical object sharing space within a preset historical time period;

[0259] The threshold comparison module is configured to determine the preset object whose historical virtual resource transfer amount data is greater than or equal to a preset heat threshold as the target object.

[0260] In some embodiments, the multimedia material search module may include:

[0261] A candidate material determination submodule is configured to search the material library for candidate multimedia materials corresponding to the target object description information, and determine a creator account corresponding to the candidate multimedia material as a candidate creator account;

[0262] A submodule for obtaining the number of followed accounts is configured to obtain the number of followed accounts corresponding to each candidate creator account when there are multiple candidate creator accounts; the number of followed accounts is the number of user accounts that have a social relationship with the candidate creator account;

[0263] A target creator account determination submodule is configured to sort the candidate creator accounts according to the number of followed accounts, and determine the first candidate creator account in the front ranking as the target creator account;

[0264] The target multimedia material determination submodule is configured to determine the candidate multimedia material corresponding to the target creator account as the target multimedia material.

[0265] In some embodiments, the apparatus 1100 may further include:

[0266] The preset heat object acquisition module is configured to execute acquisition of the preset heat object; the preset heat object is an object whose historical virtual resource transfer volume data generated in the historical object sharing space within a preset historical time period is greater than or equal to a preset heat threshold;

[0267] A preset multimedia material determination module is configured to determine the multimedia material generated when the preset hot object is shared in the historical object sharing space within the preset historical time period as the preset multimedia material;

[0268] a material sharing confirmation request sending module, configured to execute sending a material sharing confirmation request to the preset creator account; the material sharing confirmation request includes the preset multimedia material; the preset creator account is a creator account corresponding to the historical object sharing space;

[0269] The material uploading submodule is used to upload the preset multimedia material to the material library after receiving confirmation information from the preset creator account that agrees to upload the preset multimedia material.

[0270] In some embodiments, the recommendation module may include:

[0271] A target display component generation submodule is configured to generate a target display component corresponding to the target object according to the attribute information of the target creator account, the basic information of the target object and the target multimedia material;

[0272] The target display component sending submodule is configured to send the target display component to the target user account when the recommendation degree parameter meets the preset recommendation condition, so that the terminal corresponding to the target user account displays the target display component.

[0273] In some embodiments, the apparatus 1100 may further include:

[0274] A preset recommendation method determination module, which determines at least one preset recommendation method corresponding to the target object according to the attribute information of the object publishing account corresponding to the target object;

[0275] The first list acquisition module is configured to execute, when receiving a multimedia material recommendation method usage request initiated by the object publishing account for the target object, to acquire a first list; the first list is a list of object publishing accounts with abnormal publishing operations;

[0276] A current configuration information acquisition module, configured to acquire the current configuration information of the target object when the object publishing account is not in the first list;

[0277] A current configuration information parsing module, configured to parse the current configuration information and determine a current recommendation method for the target object;

[0278] The target recommendation mode determination module is configured to add the multimedia material recommendation mode to the current recommendation mode to obtain the target recommendation mode when the current recommendation mode includes at least one of the preset recommendation modes.

[0279] In some embodiments, the apparatus 1100 may further include:

[0280] A preset virtual resource distribution ratio acquisition module is configured to execute acquisition of the preset virtual resource distribution ratio corresponding to each of the currently recommended modes, and obtain multiple preset virtual resource distribution ratios;

[0281] A target virtual resource distribution ratio determination module is configured to determine the target virtual resource distribution ratio according to the size relationship of the plurality of preset virtual resource distribution ratios;

[0282] The current configuration information updating module is configured to determine the target virtual resource distribution ratio as the attribute value of the multimedia material recommendation method, and update the current configuration information based on the attribute value and the target recommendation method to obtain the target configuration information.

[0283] In some embodiments, the apparatus 1100 may further include:

[0284] The interactive link acquisition module is configured to execute, after receiving the interactive information of the target user account performing the virtual resource transfer service for the target object, acquiring the interactive link corresponding to the interactive information; the interactive link includes the nodes contacted by the target user account during the virtual resource transfer service;

[0285] an attribution analysis module, configured to perform attribution analysis processing on the interaction information according to the interaction link to obtain a virtual resource distribution account;

[0286] The virtual resource distribution module is configured to distribute the virtual resource to the target creator account according to the target virtual resource distribution ratio when the virtual resource distribution account matches the target creator account.

[0287] In some embodiments, the attribution analysis module may include:

[0288] A second list acquisition submodule is configured to acquire a second list; the second list is a list of creator accounts with abnormal material creation operations;

[0289] The virtual resource distribution account determination submodule is configured to perform attribution analysis on the interaction information according to the interaction link to obtain the virtual resource distribution account when the target creator account is not in the second list.

[0290] In some embodiments, the target virtual resource distribution ratio determination module may include:

[0291] A target virtual resource distribution ratio determination submodule is configured to determine the maximum value of the preset virtual resource distribution ratios as the target virtual resource distribution ratio;

[0292] A preset ratio threshold determination submodule is configured to determine a preset ratio threshold according to the category information of the target object;

[0293] The ratio threshold comparison submodule is configured to determine the ratio threshold as the target virtual resource distribution ratio if the target virtual resource distribution ratio is greater than the preset ratio threshold.

[0294] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0295] In an exemplary embodiment, an electronic device is also provided, including a processor; and a memory for storing instructions executable by the processor; wherein the processor is configured to execute the instructions to implement the object processing method provided in any of the above embodiments.

[0296] The electronic device may be a client, a server or a similar computing device. For example, the electronic device is a server. Fig.12 FIG. 1 is a block diagram of a server according to an exemplary embodiment. Fig.12As shown, the server 1200 may have relatively large differences due to different configurations or performances, and may include one or more central processing units (CPU) 1210 (the processor 1210 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 1230 for storing data, and one or more storage media 1220 (such as one or more mass storage devices) for storing application programs 1223 or data 1222. Among them, the memory 1230 and the storage medium 1220 can be short-term storage or permanent storage. The program stored in the storage medium 1220 may include one or more modules, each of which may include a series of instruction operations on the server. Furthermore, the central processing unit 1210 can be configured to communicate with the storage medium 1220 and execute a series of instruction operations in the storage medium 1220 on the server 1200. The server 1200 may also include one or more power supplies 1260, one or more wired or wireless network interfaces 1250, one or more input and output interfaces 1240, and / or one or more operating systems 1221, such as Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, etc.

[0297] The input / output interface 1240 may be used to receive or send data via a network. The specific example of the network may include a wireless network provided by a communication provider of the server 1200. In one example, the input / output interface 1240 includes a network adapter (Network Interface Controller, NIC), which may be connected to other network devices via a base station so as to communicate with the Internet. In one example, the input / output interface 1240 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0298] It can be understood by those skilled in the art that Fig.12 The structure shown is only for illustration and does not limit the structure of the above electronic device. Fig.12 More or fewer components as shown, or with Fig.12 Different configurations are shown.

[0299] Fig.13 is a block diagram of an electronic device for object processing according to an exemplary embodiment. The electronic device may be a terminal, and its internal structure diagram may be as shown in FIG. Fig.12As shown. The electronic device includes a processor, a memory, a network interface, a display screen and an input device connected via a system bus. Among them, the processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the electronic device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a training method for an identity feature extraction model is implemented. The display screen of the electronic device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the electronic device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the housing of the electronic device, or an external keyboard, touchpad or mouse, etc.

[0300] Those skilled in the art will understand that Fig.13 The structure shown in the figure is merely a block diagram of a partial structure related to the scheme of the present disclosure, and does not constitute a limitation on the electronic device to which the scheme of the present disclosure is applied. The specific electronic device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0301] In an exemplary embodiment, a computer-readable storage medium including instructions is also provided, such as a memory including instructions, and the above instructions can be executed by a processor of an electronic device to complete the above object processing method. Optionally, the computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0302] In an exemplary embodiment, a computer program product is also provided, including a computer program, and when the computer program is executed by a processor, the object processing method described above is implemented.

[0303] In the embodiment of the present disclosure, the target configuration information of the target object is obtained; when the target recommendation method includes the multimedia material recommendation method, the target multimedia material corresponding to the target object is found from the material library according to the target object description information, and the target creator account who created the target multimedia material is determined; the historical virtual resource list of the target user account is obtained, and the first interest level of the target user account in the target object is determined according to the similarity between the interactive object in the historical virtual resource list and the target object; the recommendation degree parameter of the target object is determined according to the interest level of the target user account in the target object and the second interest level of the target user account in the target creator account; when the recommendation degree parameter meets the preset recommendation condition, the target object is recommended to the target user account. In the embodiment of the present disclosure, the target multimedia material is first found according to the target object description information, and the target creator account corresponding to the target multimedia material is determined, and the object recommendation is performed by comprehensively considering the first interest level of the target user account in the target object and the second interest level of the target user account in the target creator account, thereby improving the accuracy of the object recommendation. In addition, the target multimedia material of the target creator can be used to comprehensively and intuitively display the object information to the target user account in the recommendation process, enriching the object recommendation form. At the same time, for the target user account, there is no need to always pay attention to whether the target creator is sharing the target object in the object sharing space, which improves the purchasing efficiency and further improves the accuracy of object recommendation.

[0304] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0305] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0306] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. An object processing method, characterized in that: The method comprises: Acquire target configuration information of the target object; the target configuration information includes target object description information and target recommendation method of the target object; When the target recommendation method includes a multimedia material recommendation method, a target multimedia material corresponding to the target object is found from a material library according to the target object description information, and a target creator account who created the target multimedia material is determined; the material library includes multimedia materials formed when a preset object is shared in an object sharing space; Obtain a historical virtual resource list of a target user account, and determine a first interest level of the target user account in the target object based on a similarity between an interaction object in the historical virtual resource list and the target object; the historical virtual resource list includes a plurality of interaction objects; the interaction object is an object to which the target user account performs a virtual resource transfer operation within a preset historical time period; Determining a recommendation degree parameter of the target object according to a first interest degree of the target user account in the target object and a second interest degree of the target user account in the target creator account; When the recommendation degree parameter meets the preset recommendation condition, the target object is recommended to the target user account.

2. The method according to claim 1, characterized in that The determining, based on the similarity between the interactive object in the historical virtual resource list and the target object, a first interest level of the target user account in the target object includes: The objects interactively operated by the target user account within a preset historical time period and the interactive objects in the historical virtual resource list are constructed into a set to obtain a historical interactive object set; A first interest level of the target user account in the target object is determined according to a similarity between the target object and each historical interaction object in the historical interaction object set.

3. The method according to claim 2, characterized in that The determining of the recommendation degree parameter of the target object according to the first interest degree of the target user account in the target object and the second interest degree of the target user account in the target creator account includes: Obtaining object interaction operation information of the target user account in the object sharing space of the target creator account within the preset historical time period; Obtain a list of creator accounts that have a social relationship with the target user account, and detect whether the target creator account is in the creator list to obtain an account relationship detection result; Determining a second degree of interest of the target user account in the target creator account according to the object interaction operation information and the account relationship detection result; The recommendation degree parameter is obtained according to the first interest level and the second interest level.

4. The method according to claim 1, characterized in that: Before obtaining the target configuration information of the target object, the method further includes: In response to the object recommendation request of the target user account, obtaining historical virtual resource transfer volume data generated by a preset object in a historical object sharing space within a preset historical time period; The preset object whose historical virtual resource transfer amount data is greater than or equal to a preset heat threshold is determined as the target object.

5. The method according to claim 1, characterized in that The step of searching for a target multimedia material corresponding to the target object from a material library according to the target object description information, and determining a target creator account that created the target multimedia material, includes: Searching for a candidate multimedia material corresponding to the target object description information from the material library, and determining a creator account corresponding to the candidate multimedia material as a candidate creator account; When there are multiple candidate creator accounts, obtain the number of follower accounts corresponding to each candidate creator account; the number of follower accounts is the number of user accounts that have social relationships with the candidate creator account; Sort the candidate creator accounts according to the number of followed accounts, and determine the first candidate creator account ranked first as the target creator account; The candidate multimedia material corresponding to the target creator account is determined as the target multimedia material.

6. The method according to claim 1, characterized in that The method for constructing the material library comprises: Obtaining a preset heat object; the preset heat object is an object whose historical virtual resource transfer volume data generated in the historical object sharing space within a preset historical time period is greater than or equal to a preset heat threshold; Determining the multimedia material generated when the preset hot object is shared in the historical object sharing space within the preset historical time period as the preset multimedia material; Sending a material sharing confirmation request to the preset creator account; the material sharing confirmation request includes the preset multimedia material; the preset creator account is a creator account corresponding to the historical object sharing space; After receiving confirmation information from the preset creator account agreeing to upload the preset multimedia material, the preset multimedia material is uploaded to the material library.

7. The method according to claim 1, characterized in that When the recommendation degree parameter satisfies a preset recommendation condition, recommending the target object to the target user account includes: Generate a target display component corresponding to the target object according to the attribute information of the target creator account, the basic information of the target object, and the target multimedia material; When the recommendation degree parameter satisfies the preset recommendation condition, the target display component is sent to the target user account, so that the terminal corresponding to the target user account displays the target display component.

8. The method according to claim 1, characterized in that Before obtaining the target configuration information of the target object, the method further includes: Determining at least one preset recommendation method corresponding to the target object according to the attribute information of the object publishing account corresponding to the target object; When receiving a multimedia material recommendation method usage request initiated by the object publishing account for the target object, obtaining a first list; the first list is a list of object publishing accounts with abnormal publishing operations; When the object publishing account is not in the first list, obtaining current configuration information of the target object; Parsing the current configuration information to determine the current recommendation method for the target object; When the current recommendation mode includes at least one of the preset recommendation modes, the multimedia material recommendation mode is added to the current recommendation mode to obtain the target recommendation mode.

9. The method according to claim 8, characterized in that After obtaining the target recommendation mode, the method further includes: Obtaining a preset virtual resource distribution ratio corresponding to each of the currently recommended methods, to obtain a plurality of preset virtual resource distribution ratios; Determining a target virtual resource distribution ratio according to a size relationship of the plurality of preset virtual resource distribution ratios; The target virtual resource distribution ratio is determined as the attribute value of the multimedia material recommendation method, and the current configuration information is updated based on the attribute value and the target recommendation method to obtain the target configuration information.

10. The method according to claim 9, characterized in that After recommending the target object to the target user account, the method further includes: After receiving the interaction information of the target user account performing the virtual resource transfer service for the target object, acquiring the interaction link corresponding to the interaction information; the interaction link includes the nodes contacted by the target user account during the virtual resource transfer service; Performing attribution analysis on the interaction information according to the interaction link to obtain a virtual resource distribution account; When the virtual resource distribution account matches the target creator account, the virtual resource is distributed to the target creator account according to the target virtual resource distribution ratio.

11. The method according to claim 10, characterized in that The performing attribution analysis on the interaction information according to the interaction link to obtain a virtual resource distribution account includes: Obtaining a second list; the second list is a list of creator accounts that have performed abnormal material creation operations; When the target creator account is not in the second list, the interaction information is subjected to attribution analysis and processing according to the interaction link to obtain the virtual resource distribution account.

12. The method according to claim 9, characterized in that The step of determining a target virtual resource distribution ratio according to the size relationship of the plurality of preset virtual resource distribution ratios includes: Determine a maximum value among the preset virtual resource distribution ratios as the target virtual resource distribution ratio; Determine a preset ratio threshold according to the category information of the target object; When the target virtual resource distribution ratio is greater than the preset ratio threshold, the ratio threshold is determined as the target virtual resource distribution ratio.

13. An object processing device, characterized in that: The device comprises: A target configuration information acquisition module is configured to acquire target configuration information of a target object; the target configuration information includes target object description information and a target recommendation method of the target object; A multimedia material search module, configured to perform, when the target recommendation method includes a multimedia material recommendation method, searching for a target multimedia material corresponding to the target object from a material library according to the target object description information, and determining a target creator account for creating the target multimedia material; the material library includes multimedia materials generated when a preset object is shared in an object sharing space; A first interest level determination module is configured to execute acquisition of a historical virtual resource list of a target user account, and determine a first interest level of the target user account in the target object according to a similarity between an interactive object in the historical virtual resource list and the target object; the historical virtual resource list includes a plurality of interactive objects; the interactive objects are objects to which the target user account performs a virtual resource transfer operation within a preset historical time period; A recommendation parameter determination module is configured to determine a recommendation parameter of the target object according to a first interest level of the target user account in the target object and a second interest level of the target user account in the target creator account; The recommendation module is configured to recommend the target object to the target user account when the recommendation degree parameter meets a preset recommendation condition.

14. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; The processor is configured to execute the instructions to implement the object processing method according to any one of claims 1 to 12. 15 . A computer-readable storage medium, when instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the object processing method according to claim 1 .

16. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the object processing method according to any one of claims 1 to 12 is implemented.

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