Information acquisition method, device, electronic device and storage medium

Abstract

The present disclosure relates to an information acquisition method, device, electronic device and storage medium, the method comprising: acquiring object description information, object attribute information and object category information of a target object; determining object feature information of the target object based on the object description information; fusing the object feature information with the object attribute information to obtain fused object attribute information; determining a target attribute template corresponding to the object category information of the target object; and determining object attribute information belonging to the target attribute type from the fused object attribute information according to the target attribute type in the target attribute template as the target object information of the target object. It can be seen that the present disclosure can automatically predict the target object information of an object, thereby improving the efficiency of acquiring the target object information of an object. Moreover, the predicted target object information can characterize the characteristics of multiple dimensions of the target object, thereby improving the accuracy of the target object information.

Description

Technical Field

[0001] The present disclosure relates to the field of information technology, and in particular to an information acquisition method, device, electronic device and storage medium. Background Art

[0002] With the continuous development of technology, more and more users select objects online through mobile phones and other terminals. For example, the object can be a commodity. In order to meet the needs of users to select objects, it is necessary to obtain the target object information of the object and display the target object information of the object, so that when users select objects, they can quickly and intuitively obtain the target object information of the object.

[0003] In the related art, when obtaining the target object information of an object, the merchant is required to manually provide the target object information. Since the manually input target object information may be difficult to accurately describe the core characteristics of the object, the accuracy of the target object information of the object is low. Summary of the invention

[0004] In order to overcome the problems existing in the related art, the present disclosure provides an information acquisition method, device, electronic device and storage medium.

[0005] According to a first aspect of an embodiment of the present disclosure, there is provided an information acquisition method, comprising:

[0006] Obtain object description information, object attribute information, and object category information of the target object;

[0007] Based on the object description information, determine the object feature information of the target object; the object feature information includes at least one of function feature information, virtual resource feature information, applicable scene feature information and applicable time feature information;

[0008] Fusing the object feature information with the object attribute information to obtain fused object attribute information;

[0009] Determine a target attribute template corresponding to the object category information of the target object according to a predetermined correspondence relationship between the object category information and the object attribute template; the object attribute template includes an attribute type corresponding to the object category information;

[0010] According to the target attribute type in the target attribute template, object attribute information belonging to the target attribute type is determined from the fused object attribute information as the target object information of the target object.

[0011] Optionally, determining the object feature information of the target object based on the object description information includes:

[0012] Determine the target vocabulary in the object description information as the object feature information of the target object, the target vocabulary being a vocabulary used to characterize the features of the target object;

[0013] and / or,

[0014] Perform semantic recognition and / or feature recognition on the vocabulary included in the object description information to obtain semantically recognized and / or feature recognized vocabulary, and determine the vocabulary used to characterize the characteristics of the target object among the semantically recognized and / or feature recognized vocabulary as the object feature information of the target object.

[0015] Optionally, the object attribute information includes a plurality of attribute pairs, each attribute pair includes an attribute keyword and an attribute value corresponding to the attribute keyword;

[0016] The fusing the object feature information with the object attribute information to obtain the fused object attribute information includes:

[0017] Determining a target attribute pair corresponding to the object feature information based on a matching degree between the object feature information and an attribute keyword included in the attribute pair;

[0018] comparing the object feature information with the attribute values ​​included in the target attribute pair;

[0019] When the object feature information is different from the attribute value included in the target attribute pair, the object feature information and the attribute value included in the target attribute pair are determined as the target attribute value corresponding to the target attribute pair.

[0020] Optionally, the determining, according to the target attribute type in the target attribute template, object attribute information belonging to the target attribute type from the fused object attribute information as the target object information of the target object includes:

[0021] Matching the fused object attribute information with the target attribute type included in the target attribute template to obtain object attribute information belonging to the target attribute type;

[0022] The object attribute information corresponding to the target attribute type is determined as the target object information of the target object.

[0023] Optionally, the determining the object attribute information corresponding to the target attribute type as the target object information of the target object includes:

[0024] Determining target object attribute information belonging to a target sub-attribute type in the object attribute information corresponding to the target attribute type, wherein the target sub-attribute type is determined based on account behavior data of the account for the generated target object information;

[0025] The target object attribute information belonging to the target sub-attribute type is determined as the target object information corresponding to the target object.

[0026] Optionally, also include:

[0027] Displaying the target object information in a target area;

[0028] The target identification information is displayed, where the target identification information is used to indicate that the target area has been pre-filled with the target object information.

[0029] Optionally, displaying the target object information in a target area includes:

[0030] Displaying target sub-information in the target object information in the target area, wherein the character length of the target sub-information is less than a preset length;

[0031] Displaying other sub-information in an area adjacent to the target area, the other sub-information being information in the target object information other than the target sub-information;

[0032] When a trigger operation for the other sub-information is received, the other sub-information is displayed in the target area.

[0033] Optionally, also include:

[0034] Before displaying the target object information in the target area, determining whether information has been displayed in the target area;

[0035] When it is determined that no information is displayed in the target area, the target object information is displayed in the target area.

[0036] Optionally, also include:

[0037] receiving a modification instruction for the target object information in the target area;

[0038] In response to the modification instruction, the modification information corresponding to the modification instruction is displayed in the target area, and the display of the target identification information is canceled.

[0039] According to a second aspect of an embodiment of the present disclosure, there is provided an information acquisition device, including:

[0040] An information acquisition module is configured to acquire object description information, object attribute information and object category information of a target object;

[0041] A feature information extraction module is configured to determine object feature information of the target object based on the object description information; the object feature information includes at least one of function feature information, virtual resource feature information, applicable scene feature information and applicable time feature information;

[0042] An information fusion module is configured to fuse the object feature information with the object attribute information to obtain fused object attribute information;

[0043] The attribute template determination module is configured to determine the target attribute template corresponding to the object category information of the target object according to the predetermined correspondence between the object category information and the object attribute template; the object attribute template includes the attribute type corresponding to the object category information;

[0044] The target object information determination module is configured to determine object attribute information belonging to the target attribute type from the fused object attribute information according to the target attribute type in the target attribute template as the target object information.

[0045] Optionally, the feature information extraction module is specifically configured to execute:

[0046] Determine the target vocabulary in the object description information as the object feature information of the target object, the target vocabulary being a vocabulary used to characterize the features of the target object;

[0047] and / or,

[0048] Perform semantic recognition and / or feature recognition on the vocabulary included in the object description information to obtain semantically recognized and / or feature-recognized vocabulary, and determine the vocabulary used to characterize the characteristics of the target object among the semantically recognized and / or feature-recognized vocabulary as the object feature information of the target object.

[0049] Optionally, the object attribute information includes a plurality of attribute pairs, each attribute pair includes an attribute keyword and an attribute value corresponding to the attribute keyword;

[0050] The information fusion module is specifically configured to execute:

[0051] Determining a target attribute pair corresponding to the object feature information based on a matching degree between the object feature information and an attribute keyword included in the attribute pair;

[0052] comparing the object feature information with the attribute values ​​included in the target attribute pair;

[0053] When the object feature information is different from the attribute value included in the target attribute pair, the object feature information and the attribute value included in the target attribute pair are determined as the target attribute value corresponding to the target attribute pair.

[0054] Optionally, the target object information determination module is specifically configured to execute:

[0055] Matching the fused object attribute information with the target attribute type included in the target attribute template to obtain object attribute information belonging to the target attribute type;

[0056] The object attribute information corresponding to the target attribute type is determined as the target object information of the target object.

[0057] Optionally, the target object information determination module is specifically configured to execute:

[0058] Determining target object attribute information belonging to a target sub-attribute type in the object attribute information corresponding to the target attribute type, wherein the target sub-attribute type is determined based on account behavior data of the account for the generated target object information;

[0059] The target object attribute information belonging to the target sub-attribute type is determined as the target object information corresponding to the target object.

[0060] Optionally, also include:

[0061] A target object information display module is configured to display the target object information in a target area;

[0062] The target identification information display module is configured to display the target identification information, where the target identification information is used to indicate that the target area has been pre-filled with the target object information.

[0063] Optionally, the target object information display module is specifically configured to execute:

[0064] Displaying target sub-information in the target object information in the target area, wherein the character length of the target sub-information is less than a preset length;

[0065] Displaying other sub-information in an area adjacent to the target area, the other sub-information being information in the target object information other than the target sub-information;

[0066] When a trigger operation for the other sub-information is received, the other sub-information is displayed in the target area.

[0067] Optionally, also include:

[0068] An information determination module is configured to determine whether information has been displayed in the target area before displaying the target object information in the target area;

[0069] When it is determined that no information is displayed in the target area, the target object information display module is triggered to display the target object information in the target area.

[0070] Optionally, also include:

[0071] A modification instruction receiving module is configured to execute and receive a modification instruction for the target object information in the target area;

[0072] The modification instruction response module is configured to execute a response to the modification instruction, display the modification information corresponding to the modification instruction in the target area, and cancel the display of the target identification information.

[0073] According to a third aspect of an embodiment of the present disclosure, there is provided an electronic device, including:

[0074] processor;

[0075] a memory for storing processor-executable instructions;

[0076] Wherein, the processor is configured to execute the information acquisition method described in the first aspect.

[0077] According to a fourth aspect of an embodiment of the present disclosure, a computer-readable storage medium is provided. When instructions in the storage medium are executed by a processor of an electronic device, the electronic device can execute the information acquisition method described in the first aspect.

[0078] According to a fifth aspect of an embodiment of the present disclosure, a computer program product is provided. When the computer program product is run on a computer, the computer executes the information acquisition method described in the first aspect.

[0079] The technical solution provided by the embodiment of the present disclosure obtains object description information, object attribute information and object category information of the target object; determines the object feature information of the target object based on the object description information; and the object feature information includes at least one of functional feature information, virtual resource feature information, applicable scenario feature information and applicable time feature information; and fuses the object feature information with the object attribute information to obtain fused object attribute information; determines the target attribute template corresponding to the object category information of the target object according to the correspondence between the predetermined object category information and the object attribute template; and determines the object attribute information belonging to the target attribute type from the fused object attribute information according to the target attribute type in the target attribute template, as the target object information of the target object.

[0080] It can be seen that through the technical solution provided by the embodiment of the present disclosure, the target object information of the object can be automatically predicted through the object description information, object attribute information and object category information of the object, without the need for manual provision by the merchant, which can improve the efficiency of obtaining the target object information of the object. In addition, the predicted target object information belongs to the attribute type corresponding to the category to which the object belongs, and can characterize the characteristics of multiple dimensions such as object function, virtual resources, applicable scenarios and applicable time characteristics, thereby improving the accuracy of the target object information.

[0081] 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

[0082] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0083] Figure 1 is a flow chart of an information acquisition method according to an exemplary embodiment;

[0084] Figure 2 yes Figure 1 A flowchart of an implementation of S130;

[0085] Figure 3 yes Figure 1 A flowchart of an implementation of S150;

[0086] Figure 4 is a flow chart of another information acquisition method according to an exemplary embodiment;

[0087] Figure 5 is a schematic diagram showing target object information provided by an embodiment of the present disclosure;

[0088] Figure 6 yes Figure 5 A flowchart of an implementation of S160;

[0089] Figure 7 is a block diagram of an information acquisition device according to an exemplary embodiment;

[0090] Figure 8 It is a block diagram of another information acquisition device according to an exemplary embodiment. DETAILED DESCRIPTION

[0091] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. 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.

[0092] With the continuous development of technology, more and more users select objects online through terminals such as mobile phones. For example, the objects can be commodities, virtual resources, etc., which are not specifically limited in the embodiments of the present disclosure. In order to meet the needs of users to select objects, it is necessary to obtain the target object information of the object and display the target object information of the object, so that when users select objects, they can quickly and intuitively obtain the target object information of the object.

[0093] However, in the related art, when acquiring the target object information of an object, the merchant is required to manually provide the target object information. Since the manually input target object information may be difficult to accurately describe the core characteristics of the object, the accuracy of the target object information of the object is low. In addition, some merchants will not actively provide the target object information of the object, resulting in low efficiency in acquiring the target object information of the object, and the target object information of some objects may not be acquired.

[0094] In order to solve the above technical problems, the embodiments of the present disclosure provide an information acquisition method, device, electronic device and storage medium.

[0095] In the first aspect, a method for obtaining information provided by an embodiment of the present disclosure is first described in detail. The execution subject of the method for obtaining information may be an electronic device such as a server, and the embodiment of the present disclosure does not specifically limit this.

[0096] Figure 1 is a flow chart of an information acquisition method according to an exemplary embodiment. Figure 1 As shown, the following steps may be included:

[0097] S110, obtaining object description information, object attribute information and object category information of the target object.

[0098] The target object may be any object whose target object information is to be obtained.

[0099] Specifically, the object description information may include the object title of the target object, and description information for the target object input by the merchant, etc. This embodiment of the present disclosure does not specifically limit this.

[0100] Object attribute information may include multiple attribute pairs, each of which includes a keyword key and the value corresponding to the key, i.e., the attribute value. For example, the keyword in the attribute pair may be ingredient, and the corresponding attribute value may be salicylic acid. Alternatively, the keyword in the attribute pair may be efficacy, and the corresponding attribute value may be: extract and remove acne. Of course, this is just an example to illustrate the attribute pair. In actual applications, there may be many attribute pairs, and the attribute pairs of different objects are different, so they will not be listed one by one here.

[0101] The object category information may be the type of the target object. For example, if the target object is a moisturizing set, the object category information of the target object may be beauty makeup. Alternatively, if the target object is clothing, the object category information of the target object may be clothing. Of course, this is just an example to illustrate the object category information. In actual applications, there may be many object category information, and different types of objects correspond to different object category information, which will not be listed here one by one.

[0102] S120: Determine object feature information of the target object based on the object description information.

[0103] The object characteristic information includes at least one of function characteristic information, virtual resource characteristic information, applicable scene characteristic information and applicable time characteristic information.

[0104] Specifically, after obtaining the object description information of the target object, the object feature information of the target object can be determined by content understanding technology. In practical applications, the object description information usually includes multiple keywords. The object feature information can be keywords directly extracted from the object description information; or it can be feature information obtained by further knowledge extraction of keywords in the object description information, which is reasonable.

[0105] Furthermore, the object feature information may include feature information of multiple dimensions, which can be specifically divided into the following four categories of object feature information.

[0106] The first type of object feature information may be functional feature information used to characterize the function of the target object. For example, the functional feature information of beauty products may be improving complexion, being thin, etc.

[0107] The second type of object feature information may be virtual resource feature information used to characterize the virtual resources of the target object, for example, high cost performance, free virtual resources, etc.

[0108] The third type of object feature information may be applicable scenario feature information used to characterize applicable scenarios of the target object, for example, it may be suitable for the workplace, parties, etc.

[0109] The fourth type of object feature information may be applicable time feature information used to characterize the applicable time of the target object, for example, it may be suitable for autumn, etc.

[0110] In order to make the solution description clear and complete, S120 will be described in detail in the following embodiments.

[0111] S130, fusing the object feature information with the object attribute information to obtain fused object attribute information.

[0112] After extracting the object feature information from the object description information, the object feature information can be merged with the object attribute information. Specifically, for a certain object feature information, if the object attribute information already includes the object feature information, then a deduplication operation is performed and only one of them is retained. If the object attribute information does not include the object feature information, then the object feature information needs to be added to the object attribute information.

[0113] For example, if the object characteristic information is water replenishment and the object attribute information includes water replenishment, then it is not necessary to add the object characteristic information of water replenishment to the object attribute information again. If the object attribute information does not include water replenishment, then it is necessary to add the object characteristic information of water replenishment to the object attribute information.

[0114] In order to make the description of the solution clear and complete, the specific implementation of S130 will be described in detail in the following embodiments.

[0115] S140: Determine a target attribute template corresponding to the object category information of the target object according to a predetermined correspondence relationship between the object category information and the object attribute template.

[0116] The object attribute template includes attribute types corresponding to the object category information.

[0117] Specifically, each target object corresponds to an object category information, and there is a one-to-one correspondence between the object category information and the object attribute template, that is, each object category information corresponds to an object attribute template, and then the target attribute template corresponding to the object category information of the target object can be determined.

[0118] Among them, the correspondence between the object category information and the object attribute template can be determined in the following way: since each type of object includes many attribute types, the object attribute template can select important attribute types from the object attributes, and the selected multiple attribute types can be set with different priorities in the object attribute template. The attribute type with a higher priority can be placed in front of the object attribute template, and the attribute type with a lower priority can be placed behind the object attribute template.

[0119] In actual applications, for a certain object category information, multiple object attribute templates can be determined first, and the target object information of the object can be determined based on these multiple object attribute templates, and the target object information can be displayed. Then, based on the user behavior data of the user on the target object information of the object, the attention corresponding to each object attribute template can be determined, and the object attribute template with the highest attention can be determined as the target attribute template corresponding to the object category information.

[0120] S150, according to the target attribute type in the target attribute template, determine the object attribute information belonging to the target attribute type from the fused object attribute information as the target object information of the target object.

[0121] After determining the target attribute template, the fused object attribute information can be filled into the target attribute template, that is, the object attribute information belonging to the target attribute type is filled into the target attribute template, and the object attribute information filled into the target attribute template is determined as the target object information of the target object.

[0122] In one embodiment, the target object information may include four categories. The first category may be the first sub-information used to characterize the virtual resource characteristics of the target object, such as high cost performance, free virtual resources, etc. The second category may be the second sub-information used to characterize the functional characteristics of the target object, such as improving complexion, being thin, and having texture, etc. The third category may be the third sub-information used to characterize the applicable time of the target object. For example, suitable for autumn, etc. The fourth category may be the fourth sub-information used to characterize the applicable scene of the target object. For example, suitable for the workplace, parties, etc. It can be seen that the target object information includes four types of sub-information, which improves the accuracy of the target object information and accurately describes the target characteristics of the target object.

[0123] Moreover, in the subsequent steps, by displaying the target object information, the user can intuitively understand the target characteristics of the object, thereby improving the conversion rate of the product. For example, the target object information of a washing machine can be: dust removal, odor removal, steam mite removal, to intuitively demonstrate the function of the washing machine. The target object information of a refrigerator can be: three doors, three temperatures, no odor contamination, to intuitively demonstrate the characteristics of this refrigerator "three doors, three temperature controls". In this way, users with different needs can intuitively see the target object information of each product when browsing products, and then easily find products that meet their needs, which improves the efficiency of users in obtaining information and improves the conversion rate of products.

[0124] In order to describe the solution clearly, the specific implementation of S150 will be described in detail in the following embodiments.

[0125] The technical solution provided by the embodiment of the present disclosure obtains object description information, object attribute information and object category information of the target object; determines the object feature information of the target object based on the object description information; and the object feature information includes at least one of functional feature information, virtual resource feature information, applicable scenario feature information and applicable time feature information; and fuses the object feature information with the object attribute information to obtain fused object attribute information; determines the target attribute template corresponding to the object category information of the target object according to the correspondence between the predetermined object category information and the object attribute template; and determines the object attribute information belonging to the target attribute type from the fused object attribute information according to the target attribute type in the target attribute template, as the target object information of the target object.

[0126] It can be seen that through the technical solution provided by the embodiment of the present disclosure, the target object information of the object can be automatically predicted through the object description information, object attribute information and object category information of the object, without the need for manual provision by the merchant, which can improve the efficiency of obtaining the target object information of the object. In addition, the predicted target object information belongs to the attribute type corresponding to the category to which the object belongs, and can characterize the characteristics of multiple dimensions such as object function, virtual resources, applicable scenarios and applicable time characteristics, thereby improving the accuracy of the target object information.

[0127] exist Figure 1 Based on the above embodiment, in one implementation, S120, determining object feature information of the target object based on the object description information, may include the following steps:

[0128] The target vocabulary in the object description information is determined as the object feature information of the target object, wherein the target vocabulary is a vocabulary used to characterize the features of the target object.

[0129] and / or,

[0130] Semantic recognition and / or feature recognition are performed on the words included in the object description information to obtain semantically recognized and / or feature recognized words, and the words used to characterize the characteristics of the target object in the semantically recognized and / or feature recognized words are determined as the object feature information of the target object.

[0131] In this implementation, when determining the object feature information of the target object, three methods may be included:

[0132] The first way is to directly determine the words used to characterize the characteristics of the target object included in the object description information as the object characteristic information. For example, if the object description information includes moisturizing, then the object characteristic information may also be moisturizing.

[0133] The first method may be: further semantically identifying the words included in the object description information to obtain semantically identified words, and determining the words used to characterize the characteristics of the target object in the semantically identified words as the object characteristic information of the target object. For example, if the object description information includes moisturizing, and the word obtained after semantic identification is moisturizing, then the object characteristic information may be moisturizing.

[0134] The first method may be: further feature recognition is performed on the vocabulary included in the object description information to obtain the vocabulary after feature recognition, and the vocabulary used to characterize the characteristics of the target object in the vocabulary after feature recognition is determined as the object feature information of the target object. For example, the vocabulary included in the object description information is salicylic acid ingredients, and the vocabulary after feature recognition may be extraction and acne removal. In this case, the object feature information may be extraction and acne removal. For another example, the vocabulary included in the object description information is double circulation, and the vocabulary after feature recognition may be no cross-flavoring. In this case, the object feature information may be no cross-flavoring.

[0135] Through the technical solution provided in this embodiment, when determining object feature information, not only can the vocabulary included in the object description information be determined as the object feature information, but the vocabulary included in the object description information can also be further refined to obtain the object feature information. In this way, the object feature information is more accurate and comprehensive, which is conducive to accurately determining the target object information of the target object in subsequent steps.

[0136] exist Figure 1 Based on the above embodiment, in one implementation, the object attribute information may include multiple attribute pairs, each of which includes an attribute keyword key and an attribute value value corresponding to the attribute keyword;

[0137] S130, fusing the object feature information with the object attribute information to obtain fused object attribute information, such as Figure 2 As shown, the following steps may be included:

[0138] S131, determining a target attribute pair corresponding to the object feature information based on the matching degree between the object feature information and the attribute keywords included in the attribute pair.

[0139] Specifically, after extracting the object feature information from the object description information, for each object feature information, the matching degree between the object feature information and the attribute keywords included in each attribute pair can be determined, and the attribute pair with a higher matching degree can be determined as the target attribute pair corresponding to the object feature information. For example, if a certain object feature information is hydration, and the attribute keyword included in a certain attribute pair is efficacy, since hydration belongs to the attribute of efficacy, the matching degree between the object feature information and the attribute pair is higher, and the attribute pair can be determined as the target attribute pair.

[0140] S132, comparing the object feature information with the attribute values ​​included in the target attribute pair.

[0141] S133: When the object feature information and the attribute value included in the target attribute pair are different, the object feature information and the attribute value included in the target attribute pair are determined as the target attribute value corresponding to the target attribute pair.

[0142] After determining the target attribute pair corresponding to the object feature information, the object feature information can be compared with the attribute values ​​included in the target attribute pair. If the attribute values ​​included in the target attribute pair already include the object feature information, that is, the two are repeated, then there is no need to merge the object feature information with the target attribute pair; if the attribute values ​​included in the target attribute pair do not include the object feature information, then the object feature information can be merged with the target attribute pair, that is, the object feature information can also be used as the attribute value of the target attribute pair.

[0143] It can be seen that through the technical solution provided by this implementation, by fusing the object feature information determined from the object description information with the object attribute information, the fused object attribute information can more accurately and comprehensively characterize the attributes of the target object, that is, the fused object attribute information is more accurate and comprehensive, which is conducive to the subsequent steps of accurately extracting the target object information of the target object.

[0144] exist Figure 1 Based on the above embodiment, in one implementation, S150, according to the target attribute type in the target attribute template, object attribute information belonging to the target attribute type is determined from the fused object attribute information as the target object information, such as Figure 3 As shown, the following steps may be included:

[0145] S151, matching the fused object attribute information with the target attribute type included in the target attribute template to obtain object attribute information belonging to the target attribute type.

[0146] S152: Determine the object attribute information corresponding to the target attribute type as the target object information of the target object.

[0147] Specifically, after determining the target attribute template, the target attribute type included in the target attribute template can be determined, and the fused object attribute information can be matched with the multiple target attribute types included in the target attribute template. For each target attribute type in the target attribute template, the object attribute information that matches the target attribute type is determined as the target object information corresponding to the target attribute type.

[0148] For example, in the target attribute template, the target attribute type is: {concept target object information}, and the corresponding target object information can be a leg-revealing artifact; the target attribute type is: {attribute target object information}, and the corresponding target object information can be improving complexion; the target attribute type is: {applicable scenarios} essential, and the corresponding target object information can be a dating essential; the target attribute type is: {applicable time} essential, and the corresponding target object information can be a New Year's Festival essential.

[0149] It can be seen that through the technical solution provided by this implementation, the fused object attribute information is matched with the target attribute type included in the target attribute template, and the fused object attribute information is accurately filled into the target attribute template, thereby accurately obtaining the target object information of the target object, thereby improving the accuracy of the target object information.

[0150] In one implementation, S152, determining the object attribute information corresponding to the target attribute type as the target object information of the target object may include the following two steps:

[0151] The first step is to determine the target object attribute information belonging to the target sub-attribute type in the object attribute information corresponding to the target attribute type.

[0152] The target sub-attribute type is determined based on the account behavior data of the account for the generated target object information.

[0153] It should be noted that the user information (including but not limited to the user's device information, user personal information, etc.) and related data involved in this disclosure are all information authorized by the user or by all parties.

[0154] The second step is to determine the target object attribute information belonging to the target sub-attribute type as the target object information corresponding to the target object.

[0155] Specifically, target object attribute information of a target sub-attribute type that the user is more interested in can be determined based on the user's account behavior data for the target object information that has been generated and displayed. Moreover, after obtaining the object attribute information corresponding to the target attribute type, the target object attribute information belonging to the target sub-attribute type can be determined as the target object information. In this way, target object information that the user is more interested in can be generated, which is conducive to improving the click-through rate and conversion rate of the object.

[0156] For example, for beauty products, based on the user behavior data of the users on the displayed target object information, it can be concluded that the users are more interested in the target object information of the concealer type. Therefore, the target object attribute information belonging to the target sub-attribute type of concealer can be determined as the target object information of the target object.

[0157] It can be seen that through the technical solution provided by this embodiment, after determining the object attribute information belonging to the target attribute type according to the target attribute type in the target attribute template, it is possible to further determine the object attribute information belonging to the target attribute type that the user is more interested in based on the user behavior data of the generated target object information, and use it as the target object information, thereby generating target object information that the user is more interested in, which is conducive to improving the click-through rate and conversion rate of the object.

[0158] Based on the above embodiments, in one implementation, Figure 4 As shown, the information acquisition method may also include the following steps:

[0159] S160, displaying the target object information in the target area.

[0160] S170, display target identification information.

[0161] The target identification information is used to indicate that the target area has been pre-filled with target object information.

[0162] Specifically, after the target object information of the target object is predicted based on the object description information, object attribute information and object category information of the target object, the predicted target object information can be displayed in the target area so that merchants and users can intuitively view the target object information when selecting the target object. Figure 5 As shown, the target object information is to enhance complexion and moisturize. In addition, a mark "pre-filled" can be provided below the target object information, so that merchants can intuitively know the pre-filled target object information when viewing and editing the target object.

[0163] exist Figure 4 Based on the embodiment shown, in one implementation, as Figure 6 As shown, S160, displaying the target object information in the target area may include the following steps:

[0164] S161, displaying the target sub-information in the target object information in the target area.

[0165] The character length of the target sub-information is less than the preset length.

[0166] Specifically, the target object information may include a plurality of sub-information. In order to enable the target object information filled in the target area to representatively describe the core features of the target object, a portion of the sub-information in the target object information may be filled in the target area.

[0167] In actual applications, the priorities of multiple sub-information included in the target object information can be determined according to the user behavior data. Specifically, if the user behavior data pays more attention to a certain type of sub-information, then the priority of this type of sub-information can be higher. If the user behavior data pays less attention to a certain type of sub-information, then the priority of this type of sub-information can be lower. After determining the priority of each sub-information, the multiple sub-information included in the target object information can be sorted, with the sub-information with higher priority at the front and the sub-information with lower priority at the back, and the target sub-information with higher priority can be filled into the target area. In addition, the target sub-information filled into the target area has a length limit, that is, the character length of the target sub-information is less than the preset length. The preset length can be determined according to the actual situation. For example, it can be 4-12 words (8-24 characters). The embodiments of the present disclosure do not make specific limitations on this.

[0168] S162, displaying other sub-information in an area adjacent to the target area.

[0169] Among them, other sub-information refers to the information in the target object information except the target sub-information.

[0170] After the target sub-information is displayed in the target area, in order to allow merchants to select other sub-information as needed, other sub-information can be displayed in the adjacent area of ​​the target area, such as Figure 5 As shown, other sub-information may be high-end, suitable for autumn, etc.

[0171] S163: When a trigger operation for other sub-information is received, display the other sub-information in the target area.

[0172] Specifically, when a trigger operation for other sub-information is received, it indicates that the merchant needs to display the other sub-information in the target area. At this time, in response to the trigger operation, the corresponding other sub-information is displayed in the target area so that subsequent users can intuitively see the other sub-information.

[0173] It can be seen that through the technical solution provided by this embodiment, the target object information can be automatically displayed, and the merchant can select the target object information to be displayed according to his own needs, thereby further improving the accuracy of the target object information.

[0174] exist Figure 4 Based on the illustrated embodiment, in one implementation, the information acquisition method may further include the following steps, namely step a and step b:

[0175] Step a: before displaying the target object information in the target area, determine whether the target area has already displayed information.

[0176] Step b: when it is determined that no information is displayed in the target area, the target object information is displayed in the target area.

[0177] Specifically, after the target object information is predicted, it can be determined whether there is already information in the target area for displaying the target object information. If there is already information displayed in the target area, it means that the merchant has manually filled in the target object information. In this case, it is not necessary to display the predicted target object information in the target area. If there is no information displayed in the target area, it means that the merchant has not manually filled in the target object information. In this case, the predicted target object information can be displayed in the target area.

[0178] It can be seen that through the technical solution provided by the embodiment of the present disclosure, before displaying the target object information, it is determined whether the merchant has filled in the target object information. If the merchant has not filled in the target object information, the target object information is automatically displayed in the target area, thereby improving the efficiency of obtaining the target object information.

[0179] exist Figure 4 Based on the illustrated embodiment, in one implementation, the information acquisition method may further include the following steps, namely step c and step d:

[0180] Step c: receiving a modification instruction for target object information in the target area.

[0181] Step d: in response to the modification instruction, display the modification information corresponding to the modification instruction in the target area, and cancel the display of the target identification information.

[0182] Specifically, when the target object information is displayed in the target area, the merchant can modify the target object information in the target area. When a modification instruction for the target object information in the target area is received, the merchant responds to the modification instruction and displays the modification information corresponding to the modification instruction, i.e., the target object information that the merchant wants to fill in, in the target area, and cancels the display of the target identification information used to represent the target object information that has been pre-filled in the target area.

[0183] It can be seen that through the technical solution provided by the embodiment of the present disclosure, after displaying the predicted target object information in the target area, the merchant can display the target object information that he considers to be more important in the target area, thereby further improving the accuracy of the target object information.

[0184] It should be noted that the application scenario of the above embodiment can be to obtain target object information when a merchant adds a new object, or to obtain target object information when a merchant edits or copies an existing object. Both are reasonable.

[0185] Furthermore, after the target object information of the object is obtained, the target object information may be displayed in the object feeds stream of the store page to which the object belongs, the user homepage object feeds stream, or the search object feeds stream.

[0186] According to a second aspect of the embodiments of the present disclosure, there is provided an information acquisition device, such as Figure 7 As shown, including:

[0187] The information acquisition module 710 is configured to acquire object description information, object attribute information and object category information of a target object;

[0188] The feature information extraction module 720 is configured to determine the object feature information of the target object based on the object description information; the object feature information includes at least one of function feature information, virtual resource feature information, applicable scene feature information and applicable time feature information;

[0189] The information fusion module 730 is configured to fuse the object feature information with the object attribute information to obtain fused object attribute information;

[0190] The attribute template determination module 740 is configured to determine the target attribute template corresponding to the object category information of the target object according to the predetermined correspondence between the object category information and the object attribute template; the object attribute template includes the attribute type corresponding to the object category information;

[0191] The target object information determination module 750 is configured to determine object attribute information belonging to the target attribute type from the fused object attribute information according to the target attribute type in the target attribute template as the target object information.

[0192] It can be seen that through the technical solution provided by the embodiment of the present disclosure, the target object information of the object can be automatically predicted through the object description information, object attribute information and object category information of the object, without the need for manual provision by the merchant, which can improve the efficiency of obtaining the target object information of the object. In addition, the predicted target object information belongs to the attribute type corresponding to the category to which the object belongs, and can characterize the characteristics of multiple dimensions such as object function, virtual resources, applicable scenarios and applicable time characteristics, thereby improving the accuracy of the target object information.

[0193] Optionally, the feature information extraction module is specifically configured to execute:

[0194] Determine the target vocabulary in the object description information as the object feature information of the target object, the target vocabulary being a vocabulary used to characterize the features of the target object;

[0195] and / or,

[0196] Perform semantic recognition and / or feature recognition on the vocabulary included in the object description information to obtain semantically recognized and / or feature recognized vocabulary, and determine the vocabulary used to characterize the characteristics of the target object among the semantically recognized and / or feature recognized vocabulary as the object feature information of the target object.

[0197] Optionally, the object attribute information includes a plurality of attribute pairs, each attribute pair includes an attribute keyword and an attribute value corresponding to the attribute keyword;

[0198] The information fusion module is specifically configured to execute:

[0199] Determining a target attribute pair corresponding to the object feature information based on a matching degree between the object feature information and an attribute keyword included in the attribute pair;

[0200] comparing the object feature information with the attribute values ​​included in the target attribute pair;

[0201] When the object feature information is different from the attribute value included in the target attribute pair, the object feature information and the attribute value included in the target attribute pair are determined as the target attribute value corresponding to the target attribute pair.

[0202] Optionally, the target object information determination module is specifically configured to execute:

[0203] Matching the fused object attribute information with the target attribute type included in the target attribute template to obtain object attribute information belonging to the target attribute type;

[0204] The object attribute information corresponding to the target attribute type is determined as the target object information of the target object.

[0205] Optionally, the target object information determination module is specifically configured to execute:

[0206] Determining target object attribute information belonging to a target sub-attribute type in the object attribute information corresponding to the target attribute type, wherein the target sub-attribute type is determined based on account behavior data of the account for the generated target object information;

[0207] The target object attribute information belonging to the target sub-attribute type is determined as the target object information corresponding to the target object.

[0208] Optionally, also include:

[0209] A target object information display module is configured to display the target object information in a target area;

[0210] The target identification information display module is configured to display the target identification information, where the target identification information is used to indicate that the target area has been pre-filled with the target object information.

[0211] Optionally, the target object information display module is specifically configured to execute:

[0212] Displaying target sub-information in the target object information in the target area, wherein the character length of the target sub-information is less than a preset length;

[0213] Displaying other sub-information in an area adjacent to the target area, the other sub-information being information in the target object information other than the target sub-information;

[0214] When a trigger operation for the other sub-information is received, the other sub-information is displayed in the target area.

[0215] Optionally, also include:

[0216] An information determination module is configured to determine whether information has been displayed in the target area before displaying the target object information in the target area;

[0217] When it is determined that no information is displayed in the target area, the target object information display module is triggered to display the target object information in the target area.

[0218] Optionally, also include:

[0219] A modification instruction receiving module is configured to execute and receive a modification instruction for the target object information in the target area;

[0220] The modification instruction response module is configured to execute a response to the modification instruction, display the modification information corresponding to the modification instruction in the target area, and cancel the display of the target identification information.

[0221] Figure 8 800 is a block diagram of an information acquisition device 800 according to an exemplary embodiment. For example, the device 800 may be provided as a server. Figure 8, the apparatus 800 includes a processing component 822, which further includes one or more processors, and a memory resource represented by a memory 832 for storing instructions, such as an application, that can be executed by the processing component 822. The application stored in the memory 832 may include one or more modules, each corresponding to a set of instructions. In addition, the processing component 822 is configured to execute the instructions to perform the above method.

[0222] The device 800 may also include a power supply component 826 configured to perform power management of the device 800, a wired or wireless network interface 850 configured to connect the device 800 to a network, and an input / output (I / O) interface 858. The device 800 may operate based on an operating system stored in the memory 832, such as Windows Server™, Mac OS X™, Unix™, Linux™, FreeBSD™, or the like.

[0223] It can be seen that through the technical solution provided by the embodiment of the present disclosure, the target object information of the object can be automatically predicted through the object description information, object attribute information and object category information of the object, without the need for manual provision by the merchant, which can improve the efficiency of obtaining the target object information of the object. In addition, the predicted target object information belongs to the attribute type corresponding to the category to which the object belongs, and can characterize the characteristics of multiple dimensions such as object function, virtual resources, applicable scenarios and applicable time characteristics, thereby improving the accuracy of the target object information.

[0224] 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.

[0225] According to a third aspect of an embodiment of the present disclosure, there is provided an electronic device, including:

[0226] processor;

[0227] a memory for storing processor-executable instructions;

[0228] Wherein, the processor is configured to execute the information acquisition method described in the first aspect.

[0229] It can be seen that through the technical solution provided by the embodiment of the present disclosure, the target object information of the object can be automatically predicted through the object description information, object attribute information and object category information of the object, without the need for manual provision by the merchant, which can improve the efficiency of obtaining the target object information of the object. In addition, the predicted target object information belongs to the attribute type corresponding to the category to which the object belongs, and can characterize the characteristics of multiple dimensions such as object function, virtual resources, applicable scenarios and applicable time characteristics, thereby improving the accuracy of the target object information.

[0230] According to a fourth aspect of an embodiment of the present disclosure, a computer-readable storage medium is provided. When instructions in the storage medium are executed by a processor of an electronic device, the electronic device can execute the information acquisition method described in the first aspect.

[0231] It can be seen that through the technical solution provided by the embodiment of the present disclosure, the target object information of the object can be automatically predicted through the object description information, object attribute information and object category information of the object, without the need for manual provision by the merchant, which can improve the efficiency of obtaining the target object information of the object. In addition, the predicted target object information belongs to the attribute type corresponding to the category to which the object belongs, and can characterize the characteristics of multiple dimensions such as object function, virtual resources, applicable scenarios and applicable time characteristics, thereby improving the accuracy of the target object information.

[0232] According to a fifth aspect of an embodiment of the present disclosure, a computer program product is provided, characterized in that when the computer is run on the computer, the computer is enabled to execute the information acquisition method described in the first aspect.

[0233] It can be seen that through the technical solution provided by the embodiment of the present disclosure, the target object information of the object can be automatically predicted through the object description information, object attribute information and object category information of the object, without the need for manual provision by the merchant, which can improve the efficiency of obtaining the target object information of the object. In addition, the predicted target object information belongs to the attribute type corresponding to the category to which the object belongs, and can characterize the characteristics of multiple dimensions such as object function, virtual resources, applicable scenarios and applicable time characteristics, thereby improving the accuracy of the target object information.

[0234] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present disclosure is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, DSL (Digital Subscriber Line, digital subscriber line)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrations. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a DVD (Digital Versatile Disc)), or a semiconductor medium (eg, an SSD (Solid State Disk)), etc.

[0235] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0236] 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.

[0237] 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. A method for obtaining information, characterized in that: include: Obtain object description information, object attribute information, and object category information of the target object; Based on the object description information, determine the object feature information of the target object; the object feature information includes at least one of function feature information, virtual resource feature information, applicable scene feature information and applicable time feature information; Fusing the object feature information with the object attribute information to obtain fused object attribute information; Determining a target attribute template corresponding to the object category information of the target object according to a predetermined correspondence relationship between the object category information and the object attribute template; The object attribute template includes an attribute type corresponding to the object category information; According to the target attribute type in the target attribute template, determining object attribute information belonging to the target attribute type from the fused object attribute information as target object information of the target object; The object attribute information includes a plurality of attribute pairs, each of which includes an attribute keyword and an attribute value corresponding to the attribute keyword; The fusing the object feature information with the object attribute information to obtain the fused object attribute information includes: Determining a target attribute pair corresponding to the object feature information based on a matching degree between the object feature information and an attribute keyword included in the attribute pair; comparing the object feature information with the attribute values ​​included in the target attribute pair; When the object feature information is different from the attribute value included in the target attribute pair, the object feature information and the attribute value included in the target attribute pair are determined as the target attribute value corresponding to the target attribute pair.

2. The method according to claim 1, characterized in that The determining, based on the object description information, object feature information of the target object includes: Determine the target vocabulary in the object description information as the object feature information of the target object, the target vocabulary being a vocabulary used to characterize the features of the target object; and / or, Perform semantic recognition and / or feature recognition on the vocabulary included in the object description information to obtain semantically recognized and / or feature-recognized vocabulary, and determine the vocabulary used to characterize the characteristics of the target object among the semantically recognized and / or feature-recognized vocabulary as the object feature information of the target object.

3. The method according to any one of claims 1 to 2, characterized in that: The step of determining, according to the target attribute type in the target attribute template, object attribute information belonging to the target attribute type from the fused object attribute information as the target object information of the target object includes: Matching the fused object attribute information with the target attribute type included in the target attribute template to obtain object attribute information belonging to the target attribute type; The object attribute information corresponding to the target attribute type is determined as the target object information of the target object.

4. The method according to claim 3, characterized in that: The step of determining the object attribute information corresponding to the target attribute type as the target object information of the target object includes: Determining target object attribute information belonging to a target sub-attribute type in the object attribute information corresponding to the target attribute type, wherein the target sub-attribute type is determined based on account behavior data of the account for the generated target object information; The target object attribute information belonging to the target sub-attribute type is determined as the target object information corresponding to the target object.

5. The method according to any one of claims 1 to 2, characterized in that: Also includes: Displaying the target object information in a target area; The target identification information is displayed, where the target identification information is used to indicate that the target area has been pre-filled with the target object information.

6. The method according to claim 5, characterized in that The step of displaying the target object information in the target area includes: Displaying target sub-information in the target object information in the target area, wherein the character length of the target sub-information is less than a preset length; Displaying other sub-information in an area adjacent to the target area, the other sub-information being information in the target object information other than the target sub-information; When a trigger operation for the other sub-information is received, the other sub-information is displayed in the target area.

7. The method according to claim 5, characterized in that Also includes: Before displaying the target object information in the target area, determining whether information has been displayed in the target area; When it is determined that no information is displayed in the target area, the target object information is displayed in the target area.

8. The method according to claim 5, characterized in that Also includes: receiving a modification instruction for the target object information in the target area; In response to the modification instruction, the modification information corresponding to the modification instruction is displayed in the target area, and the display of the target identification information is canceled.

9. An information acquisition device, characterized in that: include: An information acquisition module is configured to acquire object description information, object attribute information and object category information of a target object; A feature information extraction module is configured to determine object feature information of the target object based on the object description information; the object feature information includes at least one of function feature information, virtual resource feature information, applicable scene feature information and applicable time feature information; An information fusion module is configured to fuse the object feature information with the object attribute information to obtain fused object attribute information; an attribute template determination module, configured to determine a target attribute template corresponding to the object category information of the target object according to a predetermined correspondence relationship between the object category information and the object attribute template; The object attribute template includes an attribute type corresponding to the object category information; a target object information determination module, configured to determine object attribute information belonging to the target attribute type from the fused object attribute information according to the target attribute type in the target attribute template, as the target object information of the target object; The object attribute information includes a plurality of attribute pairs, each of which includes an attribute keyword and an attribute value corresponding to the attribute keyword; The information fusion module is specifically configured to execute: Determining a target attribute pair corresponding to the object feature information based on a matching degree between the object feature information and an attribute keyword included in the attribute pair; comparing the object feature information with the attribute values ​​included in the target attribute pair; When the object feature information is different from the attribute value included in the target attribute pair, the object feature information and the attribute value included in the target attribute pair are determined as the target attribute value corresponding to the target attribute pair.

10. The device according to claim 9, characterized in that The feature information extraction module is specifically configured to execute: Determine the target vocabulary in the object description information as the object feature information of the target object, the target vocabulary being a vocabulary used to characterize the features of the target object; and / or, Perform semantic recognition and / or feature recognition on the vocabulary included in the object description information to obtain semantically recognized and / or feature-recognized vocabulary, and determine the vocabulary used to characterize the characteristics of the target object among the semantically recognized and / or feature-recognized vocabulary as the object feature information of the target object.

11. The device according to any one of claims 9 to 10, characterized in that The target object information determination module is specifically configured to execute: Matching the fused object attribute information with the target attribute type included in the target attribute template to obtain object attribute information belonging to the target attribute type; The object attribute information corresponding to the target attribute type is determined as the target object information of the target object.

12. The device according to claim 11, characterized in that The target object information determination module is specifically configured to execute: Determining target object attribute information belonging to a target sub-attribute type in the object attribute information corresponding to the target attribute type, wherein the target sub-attribute type is determined based on account behavior data of the account for the generated target object information; The target object attribute information belonging to the target sub-attribute type is determined as the target object information corresponding to the target object.

13. The device according to any one of claims 9 to 10, characterized in that Also includes: A target object information display module is configured to display the target object information in a target area; The target identification information display module is configured to display the target identification information, where the target identification information is used to indicate that the target area has been pre-filled with the target object information.

14. The device according to claim 13, characterized in that The target object information display module is specifically configured to execute: Displaying target sub-information in the target object information in the target area, wherein the character length of the target sub-information is less than a preset length; Displaying other sub-information in an area adjacent to the target area, the other sub-information being information in the target object information other than the target sub-information; When a trigger operation for the other sub-information is received, the other sub-information is displayed in the target area.

15. The device according to claim 13, characterized in that Also includes: An information determination module is configured to determine whether information has been displayed in the target area before displaying the target object information in the target area; When it is determined that no information is displayed in the target area, the target object information display module is triggered to display the target object information in the target area.

16. The device according to claim 13, characterized in that Also includes: A modification instruction receiving module is configured to execute and receive a modification instruction for the target object information in the target area; The modification instruction response module is configured to execute a response to the modification instruction, display the modification information corresponding to the modification instruction in the target area, and cancel the display of the target identification information.

17. An electronic device, characterized in that: include: processor; a memory for storing processor-executable instructions; Wherein, the processor is configured to execute the information acquisition method described in any one of claims 1-8.

18. A computer-readable storage medium, characterized in that: When the instructions in the storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the information acquisition method described in any one of claims 1 to 8.

19. A computer program product, characterized in that When it is run on a computer, it enables the computer to execute the information acquisition method described in any one of claims 1 to 8.

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