Information recommendation method and apparatus, and electronic device, storage medium and program product

Abstract

Provided in the embodiments of the present disclosure are an information recommendation method and apparatus, and an electronic device, a storage medium and a program product. The method comprises: acquiring a current operation set carried in a current service request to be processed, wherein the current service request is sent by a target client, and the target client is logged in with a target account; and in response to the current service request being an information recommendation request, determining, on the basis of a target operation set of the target account, recommendation information corresponding to the current service request, and sending the recommendation information to the target client, wherein the target operation set includes at least part of current operation information in the current operation set. With the technical solution, the embodiments of the present disclosure can reduce the acquisition delay of operation information, can reduce the volume of an information recommendation request package, and can also reduce the transmission time of an information recommendation request.

Description

[0001] Information recommendation methods, devices, electronic devices, storage media, and program products

[0002] Cross-reference to related applications

[0003] This application claims priority to Chinese Patent Application No. 202411481974.6, filed on October 22, 2024, the disclosure of which is incorporated herein by reference in its entirety.

[0004] Technical Field

[0005] This disclosure relates to an information recommendation method, apparatus, electronic device, storage medium, and program product. Background Art

[0006] Currently, some applications can obtain the operation set of the logged-in account, train a recommendation model based on the operation set, and then use the model to recommend information. However, the operation set obtained in these technologies has high latency, resulting in poor recommendation performance.

[0007] Summary of the Invention

[0008] This disclosure provides an information recommendation method, apparatus, electronic device, storage medium, and program product to reduce the latency of the acquired set of operations...

[0009] In a first aspect, embodiments of this disclosure provide an information recommendation method, including:

[0010] Obtain the current operation set carried in the current business request to be processed. The current business request is sent by the target client. The target client is logged into a target account. The current operation set contains at least part of the current operation information of the target account between two adjacent business requests sent by the target client. The two adjacent business requests include the current business request and the previous business request of the current business request.

[0011] In response to the current business request being an information recommendation request, recommendation information corresponding to the current business request is determined based on the target operation set of the target account, and the recommendation information is sent to the target client. The target operation set contains at least a portion of the current operation information in the current operation set.

[0012] Secondly, embodiments of this disclosure also provide an information recommendation device, comprising:

[0013] The set acquisition module is used to acquire the current operation set carried in the current business request to be processed. The current business request is sent by the target client, the target client is logged in with the target account, and the current operation set contains at least part of the current operation information of the target account between two adjacent business requests sent by the target client. The two adjacent business requests include the current business request and the previous business request of the current business request.

[0014] The information recommendation module is used to respond to the current business request as an information recommendation request, determine the recommendation information corresponding to the current business request based on the target operation set of the target account, and send the recommendation information to the target client. The target operation set includes at least a portion of the current operation information in the current operation set.

[0015] Thirdly, embodiments of this disclosure also provide an electronic device, including:

[0016] One or more processors;

[0017] Memory, used to store one or more programs.

[0018] When the one or more programs are executed by the one or more processors, the one or more processors implement the information recommendation method as described in the embodiments of this disclosure.

[0019] Fourthly, embodiments of this disclosure also provide a computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the information recommendation method as described in embodiments of this disclosure.

[0020] Fifthly, embodiments of this disclosure also provide a computer program product that, when executed by a computer, causes the computer to implement the information recommendation method as described in embodiments of this disclosure.

[0021] Attached Figure Description

[0022] The above and other features, advantages, and aspects of the embodiments of this disclosure will become more apparent from the accompanying drawings and the following detailed description. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic, and the originals and elements are not necessarily drawn to scale.

[0023] Figure 1 is a flowchart illustrating an information recommendation method provided in an embodiment of this disclosure;

[0024] Figure 2 is a schematic diagram of the reporting process of operational information in a related technology;

[0025] Figure 3 is a schematic diagram of an operation on information in an information recommendation request;

[0026] Figure 4 is a flowchart illustrating another information recommendation method provided in an embodiment of this disclosure;

[0027] Figure 5 is a schematic diagram of an optional information recommendation process provided in an embodiment of this disclosure;

[0028] Figure 6 is a structural block diagram of an information recommendation device provided in an embodiment of this disclosure;

[0029] Figure 7 is a schematic diagram of the structure of an electronic device provided in an embodiment of this disclosure.

[0030] Detailed Implementation

[0031] Embodiments of this disclosure will now be described in more detail with reference to the accompanying drawings. While some embodiments of this disclosure are shown in the drawings, it should be understood that this disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of this disclosure. It should be understood that the accompanying drawings and embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of protection of this disclosure.

[0032] It should be understood that the steps described in the method embodiments of this disclosure may be performed in different orders and / or in parallel. Furthermore, the method embodiments may include additional steps and / or omit the steps shown. The scope of this disclosure is not limited in this respect.

[0033] The term "comprising" and its variations as used herein are open-ended, meaning "including but not limited to". The term "based on" means "at least partially based on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; and the term "some embodiments" means "at least some embodiments". Definitions of other terms will be given in the description below.

[0034] It should be noted that the concepts of "first," "second," etc., mentioned in this disclosure are used only to distinguish different devices, modules, or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules, or units. It should also be noted that the modifications of "a" or "a plurality of" mentioned in this disclosure are illustrative rather than restrictive, and those skilled in the art should understand that, unless explicitly stated otherwise in the context, they should be understood as "one or more seven..."

[0035] The names of messages or information exchanged between multiple devices in the embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.

[0036] It is understood that the data involved in this technical solution (including but not limited to the data itself, the acquisition or use of the data) shall comply with the requirements of relevant laws, regulations and related provisions.

[0037] Figure 1 is a flowchart illustrating an information recommendation method provided in an embodiment of this disclosure. This method can be executed by an information recommendation device, which can be implemented in software and / or hardware and can be configured in an electronic device, typically a computer. The information recommendation method provided in this disclosure is applicable to scenarios where information recommendation is performed based on a set of operations carried in a business request.

[0038] Figure 2 is a schematic diagram of the operation information reporting process in a related technology. As shown in Figure 2, the traditional AppLog tracking reporting method has a long reporting interval and requires retraining of the recommendation model after reporting before the reported operation information can be applied to information recommendation. The link between reporting the operation set and making information recommendation based on the reported operation set has a high latency. It is difficult to report important operation sets in real time, especially for high-value operation sets such as likes, forwards and / or negative feedback. They cannot be uploaded and applied to information recommendation in a timely manner. The overall effective delay can reach 3 minutes to 60 minutes or even higher, which means that the account's recent interaction features cannot be quickly reflected in the current recommendation information.

[0039] In some applications, as shown in Figure 3, a set of recent key account actions can be included in the recommendation request and passed through to the recommendation model, enabling rapid feedback from the model. However, including a large amount of account behavior information in the recommendation request body significantly increases the request size and transmission time. This reduces the success rate of recommendation requests and limits the amount of real-time reported operation information.

[0040] In view of this, the present disclosure provides an information recommendation method that carries the set of operations between the current service request and the previous service request in each service request sent by the client. This can reduce the packet size of the recommendation request and the transmission time of the recommendation request while reducing the latency of obtaining operation information, and increase the amount of operation information that can be reported.

[0041] As shown in Figure 1, the information recommendation method provided in this embodiment may include:

[0042] S10E retrieves the current operation set carried in the pending current business request. The current business request is sent by the target client, which is logged into a target account. The current operation set contains at least some current operation information of the target account between two adjacent business requests sent by the target client. The two adjacent business requests include the current business request and the previous business request. The current business request can be any request sent by the client to the server (i.e., the server-side), which can be an information recommendation request or a non-information recommendation request. The target client can be understood as the client that sent this current business request. The target account can be understood as the account logged into by the target client when sending the current business request. For example, in addition to carrying the current operation set, the current business request may further carry the client identifier of the target client and / or the account identifier of the target account. The previous business request can be understood as the business request sent by the target client after logging into the target account and before sending the current business request, which is adjacent to the current business request. Taking the current business request as the Nth (N is a positive integer) business request sent by the target client to the server based on the target account as an example, the previous business request can be the N-1th business request sent by the target client to the server based on the target account. It can be an information recommendation request or a non-information recommendation request.

[0043] The current operation set can be understood as the set of operations carried in the current business request. The current operation set may contain at least some operation information between the target account sending the current business request on the target client and the previous business request that sent the current business request. For example, this at least some operation information may be a set of operation information for preset operations performed by the target account between the current business request and the previous business request. These preset operations can be understood as operations performed by the user on the target client side that are related to information recommendation. Taking a media content display scenario as an example, these preset operations may include display operations, follow operations, like operations, comment operations, favorite operations, and / or negative feedback operations corresponding to media content, etc. The operation set may include the media content display duration corresponding to the display operation, the display completion rate of the media content corresponding to the display operation, and the time point corresponding to the follow operation, like operation, comment operation, favorite operation, and / or negative feedback operation, etc. Current operation information can be understood as the operation information contained in the current operation set, which may be the operation information of the target account between the current business request and the previous business request.

[0044] Specifically, when a target client sends a current business request to the server, it can include in the request the set of current operations performed by the target account between sending the previous business request and sending the current business request. Correspondingly, the server can receive the current business request sent by the target client, parse it, and obtain the set of current operations performed by the target account carried within the current business request.

[0045] S102. In response to the current business request being an information recommendation request, determine the recommendation information corresponding to the current business request based on the target operation set of the target account, and send the recommendation information to the target client. The target operation set contains at least a portion of the current operation information in the current operation set.

[0046] Information recommendation requests can be used to request the server to recommend information, such as requesting the server to return recommended information. This recommended information can be information recommended by the server to the target client for display. Taking media content display as an example, this recommended information can be recommended media content information. This recommended media content information can be understood as information about the media content recommended to the target client, such as the identification information, description information, and / or at least some content information of the recommended media content.

[0047] The target operation set can be understood as the set of operations used for information recommendation based on the current business request. It can be a set of operation information of the target account in one or more business scenarios. The target operation set includes at least a portion of the current operation information carried in the current business request. Furthermore, the target operation set may also include at least a portion of the historical operation information carried in one or more historical business requests sent by the target client. Optionally, the target operation set also includes at least a portion of the historical operation information of the target account, which is carried by the target client in historical business requests, including the previous business request. This historical business request can be understood as a business request sent by the target client based on the target account before sending the current business request; this historical business request may include, but is not limited to, the previous business request. This historical operation set can be understood as the set of operations carried in historical business requests. Historical operation information can be understood as the operation information carried in the historical operation set, which can be the operation information of preset operations performed by the target account before the target client sent the previous business request. For example, it can be determined whether the current business request is an information recommendation request. If the current business request is an information recommendation request, the target operation set of the target account, including at least part of the current operation information in the current operation set, can be obtained. Based on this target operation set, the recommendation information corresponding to the current business request can be obtained and the recommendation information can be sent to the target client.

[0048] Taking media content display as an example, the recommendation information can be the recommended media content information of the recommended media content. When the current business request is an information recommendation request, media content can be recommended based on the target account's target operation set. This involves determining the recommended media content to be recommended to the target account, obtaining the media content information of the recommended media content as the recommendation information, and sending this recommendation information to the target client so that the target client can display information based on this recommendation information, such as displaying this recommendation information or the media content corresponding to this recommendation information.

[0049] Furthermore, if the current business request is not an information recommendation request, the target information requested by the current business request can be obtained and sent to the target client. In this case, the information recommendation method may further include: responding to the current business request not being an information recommendation request, obtaining target information corresponding to the current business request, and sending the target information to the target client, wherein the target information is non-recommendation information. The target information can be the business information requested by the current business request even if the current business request is not an information recommendation request.

[0050] In some implementations, after obtaining the current operation set carried in the current business request, regardless of whether the current business request is an information recommendation request, the current operation information contained in this current operation set can be saved. This is so that in subsequent responses to the current business request and / or business requests received after the current business request, at least a portion of the current operation information in this current operation set can be obtained as operation information in the target operation set, and recommendation information for the target account can be obtained based on the operation information in the target operation set. Optionally, after obtaining the current operation set carried in the current business request to be processed, the method further includes: storing the current operation information contained in the current operation set. The storage location and / or storage format of the current operation information can be flexibly set as needed. For example, the current operation information can be stored in a local cache or database; and / or, after obtaining the current operation set, each current operation information in the current operation set can be stored without aggregation processing of the current operation information, or the current operation information can be aggregated and the aggregated current operation information can be stored, such as aggregating each operation information contained in the target operation set that includes at least some current operation information and storing the aggregated operation information, etc.

[0051] The information recommendation method provided in this embodiment obtains the current operation set carried in the current business request to be processed. This current business request is sent by a target client, and the target client is logged into a target account. This current operation set contains at least a portion of the current operation information of the target account between the current business request sent by the target client and the previous business request. In response to the current business request being an information recommendation request, recommendation information corresponding to the current business request is determined based on the target operation set of the target account, and this recommendation information is sent to the target client. The target operation set contains at least a portion of the current operation information within the current operation set. This embodiment utilizes the above technical solution to carry the operation information of the target account between the current business request and the previous business request in each business request sent by the client. When the business request is an information recommendation request, information recommendation is performed based on the target operation set including at least a portion of the operation information carried in the business request. This can reduce the packet size of the information recommendation request and the transmission time of the information recommendation request while reducing the latency of obtaining operation information, and increase the amount of operation information that can be reported.

[0052] Figure 4 is a flowchart illustrating another information recommendation method provided in this embodiment. The scheme in this embodiment can be combined with one or more optional schemes in the above embodiments. Optionally, the recommendation information includes recommended media content information. Determining the recommendation information corresponding to the current business request based on the target operation set of the target account includes: determining at least one media content corresponding to each operation information in the target operation set and the latest operation time of each media content; selecting target media content whose latest operation time meets preset conditions from the at least one media content, and obtaining media content operation information corresponding to the target media content from the target operation set; determining recommended media content information corresponding to the current business request based on the media content operation information…

[0053] Accordingly, as shown in Figure 4, the information recommendation method provided in this embodiment may include:

[0054] 5201. Obtain the current operation set carried in the current business request to be processed, wherein the current business request is sent by the target client, the target client is logged in with a target account, and the current operation set contains at least part of the current operation information of the target account between two adjacent business requests sent by the target client, wherein the two adjacent business requests include the current business request and the previous business request of the current business request.

[0055] 5202. In response to the current business request being an information recommendation request, determine at least one media content corresponding to each operation information in the target operation set and the latest operation time of each media content, wherein the target operation set includes at least a portion of the current operation information in the current operation set.

[0056] The media content corresponding to the operation information can be understood as the media content targeted by the operation corresponding to this operation information. The latest operation time of a certain media content can be the operation time of the last operation performed by the target account on this media content before sending the current business request, that is, the time when the user on the target client side last performed an operation (such as a preset operation) on this media content before sending the current business request. It can be understood that when the target operation set contains operation information of the target account on the same media content in multiple business scenarios, the latest operation time of this media content can be the operation time of the last operation performed by the target account on this media content in these multiple business scenarios, thus ultimately determining a latest operation time of this media content; or it can be the operation time of the last operation performed by the target account on this media content in each of these multiple business scenarios, thus ultimately determining multiple latest operation times of this media content, with different latest operation times corresponding to different business scenarios. The following explanation uses this case as an example.

[0057] For example, when the current business request is an information recommendation request, a target operation set for the target account can be obtained. This could be achieved by acquiring the target account's operation information within the most recent preset time period. After obtaining the target operation set, the media content targeted by each operation in the target operation set and the latest operation time of the target account for each media content can be further determined. For instance, when the client sends a business request carrying the operation set, this request can further include the media content identifier of the media content targeted by each operation in the operation set and the corresponding operation time. Therefore, after obtaining the target operation set, the media content corresponding to each operation can be determined based on the media content identifier of the media content targeted by each operation in the target operation set, and the latest operation time of each media content can be determined based on the operation time corresponding to each operation. This most recent preset time period is not limited; for example, it can be set to the most recent 30 minutes or the most recent 1 hour.

[0058] 5203. Select the target media content whose latest operation time meets the preset conditions from the at least one media content, and obtain the media content operation information corresponding to the target media content from the target operation set.

[0059] The target media content can be any media content whose latest operation time meets a preset condition. This preset condition can be flexibly set as needed, such as being among the top M in the sorted list when ordered backwards from the latest operation time. M is a positive integer, and its specific value is not limited; for example, M can be set to 10, 15, or 20. The media content operation information can be the operation information contained in the target operation set that is associated with the determined target media content.

[0060] Specifically, after determining the media content corresponding to each operation information in the target operation set, the target media content whose latest operation time meets the preset conditions can be selected from the media content corresponding to each operation information. For example, the media content corresponding to each operation information can be sorted in reverse order of the latest operation time, and the first M media contents in this sort can be obtained as the target media content. Furthermore, the interaction information executed for the determined target media content can be obtained from the target media content set as the media content operation information corresponding to the target media content.

[0061] 5204. Determine the recommended media content information corresponding to the current business request based on the media content operation information, and send the recommended media content information to the target client.

[0062] In this embodiment, after determining the media content operation information corresponding to the target media content, media content can be recommended to the target account based on this media content operation information. For example, the media content recommendation characteristics of the target account can be determined based on this media content operation information, media content that matches this media content recommendation characteristics can be obtained as the recommended media content for this time, the recommended media content information can be obtained, and this recommended media content information can be sent to the target client.

[0063] In some implementations, recommended media content information can be determined based on a pre-trained recommendation model to further improve the recommendation effect. For example, after obtaining the media content operation information of the target media content, this media content operation information can be input into a pre-trained target recommendation model. The target recommendation model then determines the recommended media content information corresponding to the current business request of the target account based on this media content operation information, and sends the recommended media content information output by the target recommendation model to the target client. Optionally, determining the recommended media content information corresponding to the current business request based on the media content operation information includes: inputting the media content operation information into a pre-trained target recommendation model and obtaining the media content information output by the target recommendation model as the recommended media content information corresponding to the current business request.

[0064] The target recommendation model can be a recommendation model used for information recommendation. The recommendation model used in different business scenarios can be the same or different. Optionally, the target recommendation model corresponds to the current business scenario to which the current business request belongs, wherein different business scenarios have different recommendation models to further improve the accuracy of the determined recommendation information. Here, the current business scenario can be the business scenario to which the current business request belongs.

[0065] In some implementations, after obtaining the media content operation information of the target media content, the obtained media content operation information can be directly input into the target recommendation model without aggregation.

[0066] In other implementations, after obtaining the media content operation information of the target media content, the obtained media content operation information can be aggregated, such as by aggregating the media content operation information according to the business scenario dimension, to obtain aggregated media content operation information for each target media content in each business scenario, and then inputting the aggregated media content operation information into the target recommendation model for information recommendation, so as to further improve the information recommendation speed of the target recommendation model. Optionally, after obtaining the media content operation information corresponding to the target media content from the target operation set, the method further includes: aggregating the media content operation information of each target media content according to the business scenario dimension, to obtain aggregated media content operation information for each target media content in each business scenario; and inputting the media content operation information into the pre-trained target recommendation model, which includes: inputting the aggregated media content operation information into the pre-trained target recommendation model.

[0067] Figure 5 is a schematic diagram of an optional information recommendation process provided in this embodiment of the present disclosure. As shown in Figure 5, in an optional implementation, the information recommendation process using the information recommendation method provided in this embodiment of the present disclosure can be described as follows: When the client sends a business request, it carries key operation information (i.e., preset operation information) of the client's logged-in account from the end of the last request to the initiation of the current business request in the business request. After receiving the business request, the server determines whether this business request is a business request that requires information recommendation, that is, whether this business request is an information recommendation request. If this business request is a business request that does not require information recommendation, the operation information carried in this business request is recorded in the cache; if this business request is a business request that requires information recommendation, the server reads the operation information within the most recent preset time period from the cache, aggregates the operation information carried in the current business request and the operation information read from the cache, writes the aggregated operation information into the cache, and sends the aggregated operation information to the recommendation model to obtain the immediate recommendation result (i.e., recommendation information) generated by the recommendation model.

[0068] In the above implementation, considering that operation information exceeding the most recent preset time length can be used to participate in the real-time training of the model and affect the recommendation model through the traditional AppLog tracking method, the aggregated operation information can be time-sensitive. Operation information exceeding the most recent preset time length does not need to be aggregated; for example, operation information exceeding the most recent preset time length can be deleted from the cache. When aggregating operation information, for example, operations on the same work (such as media content) under the same business scenario can be aggregated. Specifically, for non-cumulative operations (such as likes, follows, etc.) on the same work under the same business scenario, if they occur repeatedly, the most recent time point can be used as the latest operation time; for cumulative operations (such as dwell time, etc.) on the same work under the same business scenario, if they occur repeatedly, they can be accumulated; for measurement operations (such as percentage of completed reading, etc.) on the same work under the same business scenario, if they occur repeatedly, the maximum value can be taken.

[0069] The information recommendation method provided in this embodiment reduces the size of the information recommendation request by breaking down user operation information into the package of each business request and carrying it to the server, and caching and aggregating it on the server as needed. This not only reduces the package size of the information recommendation request, but also improves the scalability of real-time operation reporting.

[0070] Figure 6 is a structural block diagram of an information recommendation device provided in an embodiment of this disclosure. This device can be implemented by software and / or hardware, and can be configured in an electronic device, typically in a computer. It can perform information recommendation based on the set of operations carried in a business request by executing an information recommendation method. As shown in Figure 6, the information recommendation device provided in this embodiment may include: a set acquisition module 601 and an information recommendation module 602, wherein...

[0071] The set acquisition module 601 is used to acquire the current operation set carried in the current business request to be processed. The current business request is sent by the target client, the target client is logged in with a target account, and the current operation set contains at least part of the current operation information of the target account between two adjacent business requests sent by the target client. The two adjacent business requests include the current business request and the previous business request of the current business request.

[0072] The information recommendation module 602 is used to respond to the current business request as an information recommendation request, determine the recommendation information corresponding to the current business request based on the target operation set of the target account, and send the recommendation information to the target client. The target operation set includes at least a portion of the current operation information in the current operation set.

[0073] The information recommendation device provided in this embodiment obtains the current operation set carried in the current business request to be processed through a set acquisition module. This current business request is sent by a target client, which is logged into a target account. The current operation set contains at least a portion of the current operation information of the target account between the sending of this current business request and the previous business request. In response to the current business request being an information recommendation request, the information recommendation module determines the recommendation information corresponding to the current business request based on the target account's target operation set and sends this recommendation information to the target client. The target operation set contains at least a portion of the current operation information within the current operation set. This embodiment utilizes the above technical solution to carry the target account's operation information between this business request and the previous business request in each business request sent by the client. When this business request is an information recommendation request, information recommendation is performed based on the target operation set, which includes at least a portion of the operation information carried in this business request. This reduces the latency in obtaining operation information, decreases the size of the information recommendation request packet, reduces the transmission time of the information recommendation request, and increases the amount of operation information that can be reported.

[0074] Optionally, the recommendation information includes recommended media content information, and the information recommendation module 602 includes: a media content determination unit, used to determine at least one media content corresponding to each operation information in the target operation set and the latest operation time of each media content; a media content selection unit, used to select target media content whose latest operation time meets preset conditions from the at least one media content, and obtain media content operation information corresponding to the target media content from the target operation set; and an information determination unit, used to determine recommended media content information corresponding to the current service request based on the media content operation information...

[0075] Optionally, the information determination unit is specifically used to: input the media content operation information into the pre-trained target recommendation model, and obtain the media content information output by the target recommendation model as the recommended media content information corresponding to the current business request.

[0076] Furthermore, the information recommendation device may further include: an information aggregation module, used to aggregate the media content operation information of each target media content according to the business scenario dimension after obtaining the media content operation information corresponding to the target media content from the target operation set, to obtain the aggregated media content operation information of each target media content in each business scenario; the information determination unit is specifically used to: input the aggregated media content operation information into the pre-trained target recommendation model.

[0077] Optionally, the target recommendation model corresponds to the current business scenario to which the current business request belongs, wherein different business scenarios have different recommendation models.

[0078] Furthermore, the information recommendation device may further include: an information acquisition module, configured to, in response to the current business request not being an information recommendation request, acquire target information corresponding to the current business request and send the target information to the target client, wherein the target information is non-recommendation information.

[0079] Optionally, the target operation set may also include at least some historical operation information of the target account, which is sent by the target client in a historical service request, and the historical service request includes the previous service request.

[0080] Furthermore, the information recommendation device may also include: an information storage module, used to store the current operation information contained in the current operation set after obtaining the current operation set carried in the current business request to be processed.

[0081] The information recommendation device provided in this disclosure can execute the information recommendation method provided in any embodiment of this disclosure, and has the corresponding functional modules and beneficial effects for executing the information recommendation method. Technical details not described in detail in this embodiment can be found in the information recommendation method provided in any embodiment of this disclosure.

[0082] Referring now to FIG7, a schematic diagram of the structure of an electronic device (e.g., a server) 700 suitable for implementing embodiments of the present disclosure is shown. The terminal devices in embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. The electronic device shown in FIG7 is merely an example and should not impose any limitation on the functionality and scope of use of embodiments of the present disclosure.

[0083] As shown in Figure 7, the electronic device 700 may include a processing unit (e.g., a central processing unit, a graphics processing unit, etc.) 701, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 702 or a program loaded from a storage device 708 into a random access memory (RAM) 703. The RAM 703 also stores various programs and data required for the operation of the electronic device 700. The processing unit 701, ROM 702, and RAM 703 are interconnected via a bus 704. An input / output (I / O) interface 705 is also connected to the bus 704.

[0084] Typically, the following devices can be connected to I / O interface 705: input devices 706 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 707 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 708 including, for example, magnetic tapes, hard disks, etc.; and communication devices 709. Communication device 709 allows electronic device 700 to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 7 shows electronic device 700 with various devices, it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices can be implemented or possessed alternatively.

[0085] In particular, according to embodiments of this disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this disclosure include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication device 709, or installed from storage device 708, or installed from ROM 702. When the computer program is executed by processing device 701, it performs the functions defined in the methods of embodiments of this disclosure…

[0086] It should be noted that the computer-readable medium described above in this disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination thereof.

[0087]

[0088] Computer-readable storage media can be, for example, but not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatuses, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this disclosure, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this disclosure, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.

[0089] In some implementations, clients and servers can communicate using any currently known or future-developed network protocol such as HTTP (Hypertext Transfer Protocol), and can interconnect with digital data communication (e.g., communication networks) of any form or medium. Examples of communication networks include local area networks (“LANs”), wide area networks (“WANs”), the internet (e.g., the Internet), and end-to-end networks (e.g., ad hoc end-to-end networks), as well as any currently known or future-developed networks.

[0090] The aforementioned computer-readable medium may be included in the aforementioned electronic device; or it may exist independently and not assembled into the electronic device.

[0091] The aforementioned computer-readable medium carries one or more programs. When the electronic device executes the aforementioned one or more programs, the electronic device causes the electronic device to: acquire a current operation set carried in a pending current service request, wherein the current service request is sent by a target client, the target client is logged into a target account, and the current operation set contains at least a portion of the current operation information of the target account between two adjacent service requests sent by the target client, wherein the two adjacent service requests include the current service request and the previous service request of the current service request; and, in response to the current service request being an information recommendation request, determine recommendation information corresponding to the current service request based on the target operation set of the target account, and send the recommendation information to the target client, wherein the target operation set contains at least a portion of the current operation information within the current operation set.

[0092] Computer program code for performing the operations of this disclosure can be written in one or more programming languages ​​or a combination thereof, including but not limited to object-oriented programming languages ​​such as Java, Smalltalk, and C++.

[0093]

[0094] This also includes conventional procedural programming languages—such as [language name] or similar programming languages. Program code can execute entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or it can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0095] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0096] The units described in the embodiments of this disclosure can be implemented in software or by means of other software. The names of modules do not, in some cases, constitute a limitation on the unit itself.

[0097] The functions described above in this document can be performed at least in part by one or more hardware logic components. For example, exemplary types of hardware logic components that can be used, without limitation, include: field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), system-on-a-chip (SoCs), complex programmable logic devices (CPLDs), and so on.

[0098] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0099] One or more embodiments of this disclosure provide an information recommendation method, including:

[0100] Obtain the current operation set carried in the current business request to be processed. The current business request is sent by the target client. The target client is logged into a target account. The current operation set contains at least part of the current operation information of the target account between two adjacent business requests sent by the target client. The two adjacent business requests include the current business request and the previous business request of the current business request.

[0101] In response to the current business request being an information recommendation request, recommendation information corresponding to the current business request is determined based on the target operation set of the target account, and the recommendation information is sent to the target client. The target operation set contains at least a portion of the current operation information in the current operation set.

[0102] For example, in at least one embodiment of this disclosure, the recommendation information includes recommended media content information, and the step of determining the recommendation information corresponding to the current business request based on the target account's target operation set includes:

[0103] Determine at least one media content corresponding to each operation information in the target operation set, and the latest operation time of each media content;

[0104] Select the target media content whose latest operation time meets the preset conditions from the at least one media content, and obtain the media content operation information corresponding to the target media content from the target operation set;

[0105] Determining recommended media content information corresponding to the current service request based on the media content operation information. For example, in at least one embodiment of this disclosure, determining the recommended media content information corresponding to the current service request based on the media content operation information includes:

[0106] The media content operation information is input into a pre-trained target recommendation model, and the media content information output by the target recommendation model is obtained as the recommended media content information corresponding to the current business request.

[0107] For example, in at least one embodiment of this disclosure, after obtaining the media content operation information corresponding to the target media content from the target operation set, the method further includes:

[0108] According to the business scenario, the media content operation information of each target media content is aggregated to obtain the aggregated media content operation information of each target media content in each business scenario.

[0109] The step of inputting the media content operation information into the pre-trained target recommendation model includes: inputting the aggregated media content operation information into the pre-trained target recommendation model.

[0110] For example, in at least one embodiment of this disclosure, the target recommendation model corresponds to the current business scenario to which the current business request belongs, wherein different business scenarios have different recommendation models.

[0111] For example, at least one embodiment of this disclosure further includes:

[0112] In response to the current business request not being an information recommendation request, the system obtains the target information corresponding to the current business request and sends the target information to the target client. The target information is non-recommendation information.

[0113] For example, in at least one embodiment of this disclosure, the target operation set further includes at least a portion of the historical operation information of the target account, which is sent by the target client in a historical service request, and the historical service request includes the previous service request.

[0114] For example, in at least one embodiment of this disclosure, after obtaining the current operation set carried in the current service request to be processed, the method further includes:

[0115] Store the information of each current operation contained in the current operation set.

[0116] One or more embodiments of this disclosure also provide an information recommendation device, including:

[0117] The set acquisition module is used to acquire the current operation set carried in the current business request to be processed. The current business request is sent by the target client, the target client is logged in with the target account, and the current operation set contains at least part of the current operation information of the target account between two adjacent business requests sent by the target client. The two adjacent business requests include the current business request and the previous business request of the current business request.

[0118] The information recommendation module is used to respond to the current business request as an information recommendation request, determine the recommendation information corresponding to the current business request based on the target operation set of the target account, and send the recommendation information to the target client. The target operation set includes at least a portion of the current operation information in the current operation set.

[0119] One or more embodiments of this disclosure also provide an electronic device, including:

[0120] One or more processors;

[0121] Memory, used to store one or more programs.

[0122] When the one or more programs are executed by the one or more processors, the one or more processors implement the information recommendation method as described in any of the above embodiments.

[0123] One or more embodiments of this disclosure also provide a computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the information recommendation method as described in any of the above embodiments.

[0124] One or more embodiments of this disclosure also provide a computer program product that, when executed by a computer, causes the computer to implement the information recommendation method as described in any of the above embodiments.

[0125] The above description is merely a preferred embodiment of this disclosure and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of this disclosure is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-described concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions disclosed in this disclosure.

[0126] Furthermore, while the operations are described in a specific order, this should not be construed as requiring these operations to be performed in the specific order shown or in sequential order. In certain environments, multitasking and parallel processing may be advantageous. Similarly, while several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of this disclosure. Certain features described in the context of individual embodiments may also be implemented in combination in a single embodiment. Conversely, various features described in the context of a single embodiment may also be implemented individually or in any suitable sub-combination in multiple embodiments.

[0127] Although the subject matter has been described using language specific to structural features and / or methodological logic, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. Rather, the specific features and actions described above are merely illustrative examples of implementing the claims.

Claims

Claims 1. An information recommendation method, comprising: Obtain the current operation set carried in the current business request to be processed. The current business request is sent by the target client. The target client is logged into a target account. The current operation set contains at least part of the current operation information of the target account between two adjacent business requests sent by the target client. The two adjacent business requests include the current business request and the previous business request of the current business request. In response to the current business request for information recommendation, the system determines the recommendation information corresponding to the current business request based on the target operation set of the target account, and sends the recommendation information to the target client. The target operation set contains at least a portion of the current operation information in the current operation set.

2. The method according to claim 1, wherein, The recommendation information includes recommended media content information. Determining the recommendation information corresponding to the current business request based on the target account's target operation set includes: Determine at least one media content corresponding to each operation information in the target operation set, and the latest operation time of each media content; Select the target media content whose latest operation time meets the preset conditions from the at least one media content, and obtain the media content operation information corresponding to the target media content from the target operation set; Based on the media content operation information, the recommended media content information corresponding to the current business request is determined.

3. The method according to claim 2, wherein, The step of determining the recommended media content information corresponding to the current service request based on the media content operation information includes: The media content operation information is input into the pre-trained target recommendation model, and the media content information output by the target recommendation model is obtained as the recommended media content information corresponding to the current business request.

4. The method according to claim 3, wherein, After obtaining the media content operation information corresponding to the target media content from the target operation set, the method further includes: According to the business scenario, the media content operation information of each target media content is aggregated to obtain the aggregated media content operation information of each target media content in each business scenario. The step of inputting the media content operation information into the pre-trained target recommendation model includes: inputting the aggregated media content operation information into the pre-trained target recommendation model.

5. The method according to claim 3 or 4, wherein, The target recommendation model corresponds to the current business scenario to which the current business request belongs, wherein different business scenarios have different recommendation models.

6. The method according to claim 1, further comprising: In response to the current business request not being an information recommendation request, the system retrieves the target information corresponding to the current business request and sends the target information to the target client. The target information is non-recommended information.

7. The method according to any one of claims 1-6, wherein, The target operation set also includes the target account. At least some historical operation information, which is sent by the target client in a historical service request, including the previous service request.

8. The method according to any one of claims 1-6, wherein, After obtaining the current operation set carried in the current business request to be processed, the following is also included: Store the information of each current operation contained in the current operation set.

9. An information recommendation device, comprising: The set acquisition module is configured to acquire the current operation set carried in the current business request to be processed. The current business request is sent by the target client, the target client is logged in with the target account, and the current operation set contains at least part of the current operation information of the target account between two adjacent business requests sent by the target client. The two adjacent business requests include the current business request and the previous business request of the current business request. The information recommendation module is configured to respond to the current business request as an information recommendation request, determine the recommendation information corresponding to the current business request based on the target operation set of the target account, and send the recommendation information to the target client. The target operation set includes at least a portion of the current operation information in the current operation set.

10. An electronic device comprising: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor to enable the at least one processor to perform the information recommendation method according to any one of claims 1-8. 11 A computer-readable storage medium storing computer instructions for causing a processor to execute the information recommendation method of any one of claims 1-8.

12. A computer program product comprising a computer program that, when executed by a processor, implements the information recommendation method of any one of claims 1-8.

Images