Article reliability analysis method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses an article reliability analysis method and device, electronic equipment and a storage medium. The method comprises the following steps: for an article to be subjected to reliability analysis, obtaining article information of the article; based on the article information, obtaining at least one article ownership party for carrying out ownership migration on the article, and a value attribute value and feedback information corresponding to the article under the at least one article ownership party; for each article affiliation party in the at least one article affiliation party, analyzing a value attribute value of the article under the article affiliation party to obtain a value analysis result, and analyzing feedback information of the article under the article affiliation party to obtain a feedback analysis result; and according to a value analysis result and a feedback analysis result, obtaining the reliability of the article under the article ownership. According to the technical scheme provided by the embodiment of the invention, accurate analysis of the reliability of the same article under different article owners is realized.

Description

Technical Field

[0001] Embodiments of the present invention relate to the field of computer technology, and in particular to an analysis method, device, electronic device and storage medium for the reliability of an item. Background Art

[0002] With the development of the Internet, more and more owners of items are transferring the ownership of the same item.

[0003] In the process of realizing the present invention, the inventors found that the prior art has the following technical problems: it is impossible to analyze the reliability of the same item under different item ownership, which may result in the user being unable to obtain the item that meets their needs, resulting in a poor acquisition experience. Summary of the invention

[0004] The embodiments of the present invention provide a method, device, electronic device and storage medium for analyzing the reliability of an item, so as to achieve accurate analysis of the reliability of the same item under different item ownership.

[0005] According to one aspect of the present invention, a method for analyzing the reliability of an item is provided, which may include:

[0006] For an item to be subjected to reliability analysis, obtaining item information of the item;

[0007] Based on the item information, at least one item owner who transfers the ownership of the item is obtained, and the value attribute value and feedback information corresponding to the item under the at least one item owner;

[0008] For each item owner of at least one item owner, analyzing the value attribute value of the item under the item owner to obtain a value analysis result, and analyzing feedback information of the item under the item owner to obtain a feedback analysis result;

[0009] According to the value analysis results and feedback analysis results, the reliability of the item under the owner is obtained.

[0010] According to another aspect of the present invention, there is provided an apparatus for analyzing the reliability of an item, which may include:

[0011] An item information acquisition module, used for acquiring item information of an item to be analyzed for reliability;

[0012] A feedback information obtaining module is used to obtain, based on the item information, at least one item owner who transfers the ownership of the item, and the value attribute values ​​and feedback information corresponding to the item under the at least one item owner;

[0013] A feedback analysis result obtaining module is used to analyze the value attribute value of the item under the item owner for each item owner among at least one item owner to obtain a value analysis result, and to analyze the feedback information of the item under the item owner to obtain a feedback analysis result;

[0014] The reliability obtaining module is used to obtain the reliability of the item under the item owner according to the value analysis result and the feedback analysis result.

[0015] According to another aspect of the present invention, there is provided an electronic device, which may include:

[0016] at least one processor; and

[0017] a memory communicatively connected to at least one processor; wherein,

[0018] The memory stores a computer program that can be executed by at least one processor. The computer program is executed by at least one processor so that the at least one processor implements the method for analyzing the reliability of an item provided by any embodiment of the present invention when executing the computer program.

[0019] According to another aspect of the present invention, a computer-readable storage medium is provided, on which computer instructions are stored, and the computer instructions are used to implement the method for analyzing the reliability of an item provided by any embodiment of the present invention when executed by a processor.

[0020] The technical solution of the embodiment of the present invention is to obtain the item information of the item for which reliability analysis is to be performed, and then based on the item information, obtain at least one item owner who can transfer the ownership of the item, and the value attribute value and feedback information corresponding to the item under at least one item owner; for each item owner among the at least one item owner, analyze the value attribute value of the item under the item owner to obtain the value analysis result, and analyze the feedback information of the item under the item owner to obtain the feedback analysis result, and then combine the value analysis result and the feedback analysis result to obtain the reliability of the item under the item owner, so that after processing each item owner, the reliability of the item under different item owners can be obtained respectively. The above technical solution realizes accurate analysis of the reliability of the same item under different item owners by comprehensively analyzing the value attribute values ​​and feedback information corresponding to the same item under different item owners, which helps to assist users in obtaining items that meet their needs, thereby improving the user's acquisition experience.

[0021] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 is a flow chart of a method for analyzing the reliability of an item provided according to an embodiment of the present invention;

[0024] Figure 2 is a flow chart of another method for analyzing the reliability of an item provided according to an embodiment of the present invention;

[0025] Figure 3 is a flow chart of another method for analyzing the reliability of an item provided according to an embodiment of the present invention;

[0026] Figure 4 is a flowchart of an optional example of another method for analyzing the reliability of an item provided according to an embodiment of the present invention;

[0027] Figure 5 is a structural block diagram of an object reliability analysis device provided according to an embodiment of the present invention;

[0028] Figure 6 It is a schematic diagram of the structure of an electronic device for implementing the method for analyzing the reliability of an item according to an embodiment of the present invention. DETAILED DESCRIPTION

[0029] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0030] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. The situations of "target", "original", etc. are similar and will not be repeated here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0031] It should be noted that in the technical solution of the present invention, the collection, collection, update, analysis, processing, use, transmission, storage and other aspects of user personal information involved are in compliance with the provisions of relevant laws and regulations, are used for legitimate purposes, and do not violate public order and good morals. Necessary measures are taken for user personal information to prevent illegal access to user personal information data and maintain the security of user personal information, network security and national security.

[0032] Before introducing the embodiments of the present invention, the application scenarios of the embodiments of the present invention are first exemplified. Here, many merchants sell the same product on an e-commerce platform as an example. Some merchants may hire others to make fake orders and reviews for the products they sell for their own interests, which will lead to the mismatch between the products, product reviews and product prices. As a result, when consumers purchase the products, they cannot accurately identify whether the products sold by these merchants are reliable, and may purchase products that do not meet their expectations.

[0033] Figure 1 It is a flow chart of a method for analyzing the reliability of an item provided in an embodiment of the present invention. This embodiment can be applied to analyzing the reliability of the same item under different item owners, and is particularly applicable to assisting consumers in identifying more reliable merchants from multiple merchants selling the same product. The method can be executed by an item reliability analysis device provided in an embodiment of the present invention. The device can be implemented in software and / or hardware. The device can be integrated on an electronic device. The electronic device can be various user terminals or servers, and in particular can be a user terminal, so that the user can directly obtain the reliability of the item under different item owners through the user terminal, thereby obtaining the item that meets their needs.

[0034] See also Figure 1 The method of the embodiment of the present invention specifically includes the following steps:

[0035] S110 . For an item to be subjected to reliability analysis, obtain item information of the item.

[0036] Among them, the item can be understood as an item to be analyzed for reliability, and specifically, can be understood as an item to be analyzed for its reliability under different item ownership. Item information can be understood as relevant information about an item, which can be used to uniquely identify an item. In conjunction with the application scenarios that may be involved in the embodiments of the present invention, for example, an item image of the item may be displayed on the item details page of the item, and the item image may include a barcode or a QR code, etc., so the item information can be obtained by identifying the barcode or QR code.

[0037] S120. Based on the item information, obtain at least one item owner who transfers the ownership of the item, and the value attribute values ​​and feedback information corresponding to the item under the at least one item owner.

[0038] The object owner can be understood as an object that can transfer the ownership of the object, that is, an object that can transfer the ownership of the object from itself to another party. In combination with the application scenarios that may be involved in the embodiments of the present invention, the object owner can be understood as a merchant that can sell the object. The number of object owners can be one, two or more, which is not specifically limited here.

[0039] For each of the at least one item owner, the value attribute value of the item under the item owner can be understood as the value set by the item owner for the item in terms of the value attribute. In combination with the application scenarios that may be involved in the embodiments of the present invention, the value attribute value can be understood as the item price set by the item owner for the item. In addition, the feedback information of the item under the item owner can be used to characterize the feedback given by the user who obtains the item from the item owner for the item. In combination with the application scenarios that may be involved in the embodiments of the present invention, the feedback information can be understood as the item comments posted by the user for the item. It should be noted that the number of feedback information can be one, two or more, and different feedback information can be given by the same or different users, which is not specifically limited here. Alternatively, the above feedback information can also be understood as a set, which contains all the feedback of the item under the item owner. In practical applications, optionally, the feedback information can be represented by a character string, or by voice, etc., which is not specifically limited here. On this basis, when represented based on voice, the voice can be converted into a character string based on a voice recognition scheme, thereby improving the convenience of feedback information analysis.

[0040] Based on the item information that can be used to characterize the item, at least one item owner who can transfer the ownership of the item, and the value attribute value and feedback information corresponding to the item under the at least one item owner are obtained. Exemplarily, here, the above-mentioned item reliability analysis method is applied to the user terminal as an example. The user terminal can send the item information to the backend server, and then the backend server can query the database based on the item information to obtain the above-mentioned at least one item owner, value attribute value and feedback information, and then return this information to the user terminal so that the user terminal obtains this information.

[0041] S130. For each item owner among at least one item owner, analyze the value attribute value of the item under the item owner to obtain a value analysis result, and analyze the feedback information of the item under the item owner to obtain a feedback analysis result.

[0042] Among them, for each item owner among at least one item owner, the reliability of the item under the item owner is obtained based on the following steps: analyzing the value attribute value of the item under the item owner to obtain a value analysis result. In actual applications, optionally, the value analysis result can reflect the high and low levels of the value attribute value set for the item by the item owner; and analyzing the feedback information of the item under the item owner to obtain a feedback analysis result. In actual applications, optionally, the feedback analysis result can reflect the user's likes and dislikes of the item obtained from the item owner.

[0043] S140. Obtain the reliability of the item to the owner based on the value analysis result and the feedback analysis result.

[0044] Among them, as analyzed above, the value analysis results can be used to characterize the level of the value attribute value set by the item owner for the item, and the feedback analysis results can be used to characterize the user's likes and dislikes of the item obtained from the item owner. Generally speaking, the higher the value attribute value of an item, the better its quality in all aspects, and the more likely it is to be recognized by users; correspondingly, the lower the value attribute value of an item, the worse its quality in all aspects, and the more likely it is to be rejected by users. Therefore, a comprehensive analysis can be conducted based on the value analysis results and the feedback analysis results to obtain the reliability of the item under the item owner.

[0045] The technical solution of the embodiment of the present invention is to obtain the item information of the item for which reliability analysis is to be performed, and then based on the item information, obtain at least one item owner who can transfer the ownership of the item, and the value attribute value and feedback information corresponding to the item under at least one item owner; for each item owner among the at least one item owner, analyze the value attribute value of the item under the item owner to obtain the value analysis result, and analyze the feedback information of the item under the item owner to obtain the feedback analysis result, and then combine the value analysis result and the feedback analysis result to obtain the reliability of the item under the item owner, so that after processing each item owner, the reliability of the item under different item owners can be obtained respectively. The above technical solution realizes accurate analysis of the reliability of the same item under different item owners by comprehensively analyzing the value attribute values ​​and feedback information corresponding to the same item under different item owners, which helps to assist users in obtaining items that meet their needs, thereby improving the user's acquisition experience.

[0046] An optional technical solution, the above-mentioned method for analyzing the reliability of an item further includes:

[0047] By analyzing the value attribute values ​​corresponding to the items under at least one item ownership party, the corresponding value attribute values ​​are graded to obtain a value grading result;

[0048] Analyze the value attribute value of the item under the item owner to obtain the value analysis results, including;

[0049] Based on the value grading results, the value attribute values ​​of the items under the item owner are analyzed to obtain the value analysis results.

[0050] Among them, considering that the value attribute values ​​of different items may vary greatly, for example, the value attribute value of a car is usually much higher than that of a pair of running shoes, it is difficult to accurately measure the level of the value attribute value of the item to be analyzed for reliability only based on its value attribute value under a certain item owner. Therefore, in order to accurately measure the level of the value attribute values ​​corresponding to the items under different item owners, the value attribute values ​​corresponding to the different item owners can be analyzed or compared, such as analyzing the numerical range covered by these value attribute values ​​and their distribution within the numerical range, so that the value attribute values ​​corresponding to the different item owners can be graded based on this to obtain a value grading result, which can reflect the range of value attribute values ​​corresponding to different levels, and further reflect the level of the value attribute values ​​within different ranges in all value attribute values. Exemplarily, in combination with the application scenarios that may be involved in the embodiments of the present invention, an example of the value grading result is as follows: the value attribute value below 300 yuan corresponds to the first level, the value attribute value between 300 yuan and 500 yuan corresponds to the second level, and the value attribute value above 500 yuan corresponds to the third level. In this example, the value attribute value is positively correlated with the level; of course, in other examples, the two may also be negatively correlated, which depends on the actual setting and is not limited here.

[0051] Furthermore, based on the value grading results, the value attribute values ​​of the items under the ownership of the items are analyzed, thereby obtaining the grade corresponding to the value attribute value or the high and low level in all attribute values, and then using the result obtained as the value analysis result, thereby achieving accurate analysis of the value attribute value.

[0052] Another optional technical solution is to obtain the reliability of the item under the item owner based on the value analysis results and feedback analysis results, including:

[0053] According to the value analysis results and the feedback analysis results, the matching between the value attribute value and the feedback information is obtained; according to the matching, the reliability of the item under the item owner is obtained.

[0054] As analyzed above, the higher the value attribute value of an item, the better its quality in all aspects, and the more likely it is to be recognized by users, that is, the more positive the emotional tendency represented by the feedback information; correspondingly, the lower the value attribute value of an item, the worse its quality in all aspects, and the more likely it is to be rejected by users, that is, the more negative the emotional tendency represented by the feedback information. Moreover, the value analysis results can be used to represent the level of the value attribute value set by the item owner for the item, and the feedback analysis results can be used to represent the degree of likes and dislikes of users for the items obtained from the item owner. Therefore, the matching between the value attribute value and the feedback information can be obtained based on the value analysis results and the feedback analysis results.

[0055] Further, the reliability of the item under the item owner is obtained based on the matching. Exemplarily, under normal circumstances, when the value analysis result matches the feedback analysis result, the item reliability is high, for example, when the value attribute value is low and the feedback information is poor, the value attribute value is medium and the feedback information is general, or the value attribute value is high and the feedback information is good, this is in line with the actual situation, and it is considered that the two match, and the item reliability is high. Another example is that when the value analysis result does not match the feedback analysis result, the item reliability may be low, for example, when the value attribute value is high and the feedback information is poor, the feedback information of items with good quality in all aspects is usually good, so the item reliability is low at this time; there may also be a situation where the item reliability is particularly high, for example, when the value attribute value is low and the feedback information is good, this is a situation where the item is of good quality and low price, so the item reliability is particularly high.

[0056] The above technical solution achieves the effect of quickly and accurately determining the reliability of an item to its owner through the matching between the value attribute value and the feedback information.

[0057] Figure 2 It is a flow chart of another method for analyzing the reliability of an item provided in an embodiment of the present invention. This embodiment is optimized based on the above-mentioned technical solutions. In this embodiment, optionally, the number of feedback information is at least two, and analyzing the feedback information of the item under the item owner may include: identifying false information from at least two feedback information of the item under the item owner; excluding the false information from the at least two feedback information, and analyzing the feedback information retained after excluding the at least two feedback information. Among them, the explanations of the terms that are the same or corresponding to the above-mentioned embodiments are not repeated here.

[0058] See also Figure 2 The method of this embodiment may specifically include the following steps:

[0059] S210: For an item to be subjected to reliability analysis, obtain item information of the item.

[0060] S220. Based on the item information, obtain at least one item owner who transfers the ownership of the item, and the value attribute values ​​and at least two pieces of feedback information corresponding to the item under the at least one item owner.

[0061] Among them, at least two pieces of feedback information can be understood as feedback information of the item under the same item owner, that is, when false information is subsequently eliminated, it will be carried out on a single item owner basis.

[0062] S230. For each item owner among at least one item owner, analyze the value attribute value of the item under the item owner to obtain a value analysis result.

[0063] S240: Identify false information from at least two pieces of feedback information of the item from the item owner.

[0064] Among them, in actual applications, due to the possible phenomenon of false orders or false reviews, there may be false information in at least two feedback messages. The false information can be understood as real information that is not posted by the user who actually obtained the item, which will seriously affect the accuracy of the subsequent analysis of the reliability of the item.

[0065] Therefore, in order to solve the above problem, at least two pieces of feedback information can be analyzed to identify false information. The number of false information may be one, two or more, which depends on the actual situation and is not specifically limited here.

[0066] S250: exclude false information from at least two pieces of feedback information, and analyze the feedback information remaining after the exclusion from the at least two pieces of feedback information to obtain a feedback analysis result.

[0067] Among them, false information is excluded from at least two pieces of feedback information, that is, only real information or reliable information in at least two pieces of feedback information is retained, so as to analyze these reliable information, thereby ensuring the accuracy of the reliability of the items analyzed subsequently.

[0068] S260. Obtain the reliability of the item to the owner based on the value analysis result and the feedback analysis result.

[0069] The technical solution of the embodiment of the present invention identifies false information in at least two pieces of feedback information of an item under any item owner, excludes the false information from the at least two pieces of feedback information, so as to subsequently analyze the retained reliable information, thereby ensuring the accuracy of the reliability of the item subsequently analyzed.

[0070] An optional technical solution for identifying false information from at least two pieces of feedback information of an item under the item owner includes:

[0071] For each piece of feedback information in at least two pieces of feedback information of the item under the item owner, information details of the feedback information are obtained; and false information is identified from the at least two pieces of feedback information according to the information details respectively corresponding to the at least two pieces of feedback information.

[0072] Among them, the information details can be used to characterize the detailed information of the feedback information, for example, it can be at least one of the publishing time (i.e., the time of publishing the feedback information), the publishing Internet Protocol (IP) (i.e., the IP of publishing the feedback information), the account level of the publishing account (i.e., the level of the account that published the feedback information), and the number of words in the information (i.e., the number of words in the feedback information). Of course, it can also be other information, which is not specifically limited here. It can be seen that based on the information details, the information of the feedback information in many aspects can be determined. Therefore, based on the information details of each feedback information in the at least two feedback information, false information can be identified from the at least two feedback information, thereby achieving the effect of accurately identifying false information.

[0073] On this basis, optionally, according to the information details corresponding to the at least two pieces of feedback information, false information is identified from the at least two pieces of feedback information, including: when the information details corresponding to the at least two pieces of feedback information include the publishing time and the publishing Internet protocol, a first preset number of feedback information published via the same Internet protocol within a first preset time interval in the at least two pieces of feedback information is regarded as false information. In other words, multiple pieces of feedback information published within a short period of time under the same IP for the same item under the same item owner can be regarded as false information.

[0074] Alternatively, based on the information details corresponding to the at least two pieces of feedback information, false information is identified from the at least two pieces of feedback information, including: when the information details include the publishing time and the account level of the publishing account, the second preset number of feedback information published by the publishing account with an account level lower than the first preset level within the second preset time interval in the at least two pieces of feedback information is regarded as false information. Among them, in actual applications, accounts with an account level lower than the first preset level (i.e., a lower account level) are usually accounts with a short registration time and / or rarely obtain items, and the authenticity of the feedback information published by such accounts needs to be considered. Therefore, multiple pieces of feedback information published by a publishing account with a lower account level in a short period of time for the same item under the same item owner can be regarded as false information. At this time, whether the publishing account and the publishing IP corresponding to these feedback information are the same is not limited here.

[0075] In another optional embodiment, according to the information details corresponding to the at least two pieces of feedback information, false information is identified from the at least two pieces of feedback information, including: when the information details include the number of words in the information and the account level, the feedback information in the at least two pieces of feedback information whose number of words is greater than the preset number of words and which is published by a publishing account whose account level is lower than the second preset level is regarded as false information. In practical applications, reliable information published by real users is usually relatively concise and to the point, therefore, feedback information with a particularly large number of words published by a publishing account with a lower account level can be regarded as false information.

[0076] The above-mentioned technical solutions provide identification criteria for false information in different situations, which helps to quickly and accurately identify false information from feedback information.

[0077] Figure 3 It is a flow chart of another method for analyzing the reliability of an item provided in an embodiment of the present invention. This embodiment is optimized based on the above-mentioned technical solutions. In this embodiment, optionally, the above-mentioned method for analyzing the reliability of an item may also include: obtaining a preset analysis template, wherein the preset analysis template includes at least one emotional information; analyzing the feedback information of the item under the item owner to obtain feedback analysis results, which may include: for the feedback information of the item under the item owner, and for each emotional information in at least one emotional information, searching for emotional information in the feedback information to obtain the occurrence information of the emotional information in the feedback information; based on the occurrence information corresponding to each emotional information, obtaining the feedback analysis results of the feedback information. Among them, the explanations of the terms that are the same or corresponding to the above-mentioned embodiments are not repeated here.

[0078] See also Figure 3 The method of this embodiment may specifically include the following steps:

[0079] S310: For an item to be subjected to reliability analysis, obtain item information of the item.

[0080] S320. Based on the item information, obtain at least one item owner who transfers the ownership of the item, and the value attribute values ​​and feedback information corresponding to the item under the at least one item owner.

[0081] S330. Obtain a preset analysis template, wherein the preset analysis template includes at least one piece of emotion information.

[0082] Among them, the preset analysis template can be understood as a pre-set template for analyzing feedback information. In actual applications, the preset analysis template may optionally include a Chinese analysis template for analyzing Chinese, an English analysis template for analyzing English, an expression analysis template for analyzing expressions, or a score analysis template for analyzing scores, etc., which are not specifically limited here. The number of preset analysis templates can be one, two, or more. On this basis, optionally, in the case of at least two preset analysis templates, these preset analysis templates can be selectively applied or all applied according to the expression of the feedback information (for example, at least one of Chinese, English, and expressions), which are not specifically limited here.

[0083] Emotional information can be understood as information in a preset analysis template that can be used to characterize the user's likes and dislikes, for example, it can be positive emotional information, such as good, very good, especially good, nice, good, very good, very very good, expressions used to characterize praise, expressions used to characterize smiling faces, or 4 or more stars are lit (a total of 5 stars), etc., which are not specifically limited here; it can also be negative emotional information, such as bad, very bad, especially bad, bad, very bad, very very bad, expressions used to characterize derogatory expressions, expressions used to characterize helpless expressions, or 2 or less stars are lit, etc., which are not specifically limited here. The amount of emotional information can be one, two, or more, which is not specifically limited here.

[0084] S340. For each item owner among at least one item owner, analyze the value attribute value of the item under the item owner to obtain a value analysis result.

[0085] S350. For the feedback information of the item to the owner of the item and each piece of emotional information in at least one piece of emotional information, search for the emotional information in the feedback information to obtain the occurrence information of the emotional information in the feedback information.

[0086] Among them, it should be noted that the emotional information in the preset analysis template is usually the information that users often use when posting feedback information to express their likes and dislikes of items. Therefore, for each emotional information in at least one emotional information, it is possible to search in the feedback information based on the emotional information to obtain the appearance information of the emotional information in the feedback information. The appearance information can be understood as information related to the appearance of the emotional information in the feedback information, such as whether it appears or the number of times it appears.

[0087] S360. Based on the appearance information corresponding to each piece of emotional information, a feedback analysis result of the feedback information is obtained.

[0088] Among them, as mentioned above, since the emotional information in the feedback information can be used to characterize the user's likes and dislikes for the item, the feedback analysis results of the feedback information can be obtained based on the appearance information corresponding to each emotional information, so that the user's likes and dislikes for the item can be determined based on the feedback analysis results.

[0089] S370. According to the value analysis result and the feedback analysis result, the reliability of the item under the item owner is obtained.

[0090] The technical solution of the embodiment of the present invention searches for emotional information in feedback information and obtains feedback analysis results based on the appearance information of the emotional information in the feedback information. Due to the particularity of the emotional information itself, the feedback analysis results obtained can be used to characterize the user's likes and dislikes of the item, which helps to ensure the accuracy of the reliability of the item analyzed subsequently.

[0091] An optional technical solution, the preset analysis template also includes the first quantitative information corresponding to each emotional information in the at least one emotional information;

[0092] After obtaining the occurrence information of the emotion information in the feedback information, the above-mentioned method for analyzing the reliability of the item further includes: obtaining second quantitative information of the emotion information relative to the feedback information based on the occurrence information corresponding to the emotion information and the first quantitative information;

[0093] Obtaining the feedback analysis result of the feedback information based on the occurrence information corresponding to each piece of emotion information may include: accumulating the second quantization information corresponding to each piece of emotion information to obtain the feedback analysis result of the feedback information.

[0094] Among them, for each piece of emotional information in at least one emotional information, the preset analysis template may also include first quantitative information corresponding to the emotional information. The first quantitative information can be understood as information obtained after quantifying the degree of likes and dislikes represented by the emotional information. In practical applications, it can be optionally expressed by scores, such as 1 point, 2 points, -1 point or -2 points, etc.; it can be expressed by letters, such as A+, A-, B+ or B-, etc.; it can also be expressed by words, such as excellent or, good or qualified, etc.; and so on, which are not specifically limited here.

[0095] On this basis, in order to better understand the above preset analysis template, the following is an exemplary description of it with reference to a specific example.

[0096] The Chinese analysis template may be as follows: 'good' - 1 point, 'very good' - 2 points, 'very good' - 3 points, 'poor' - - 1 point, 'very poor' - - 2 points and 'very poor' - - 3 points;

[0097] The English analysis template can be as follows: 'nice' or 'good' - 1 point, 'very good' - 2 points, 'veryvery good' - 3 points, 'bad' - -1 point, 'very bad' - -2 points and 'very very bad' - -3 points;

[0098] The expression analysis template can be as follows: 1 expression used to represent praise or a smiley face - 1 point, 2 expressions used to represent praise or a smiley face - 2 points, 3 or more expressions used to represent praise or a smiley face - 3 points, 1 expression used to represent derogatory or helpless - - 1 point, 2 expressions used to represent derogatory or helpless - - 2 points, 3 or more expressions used to represent derogatory or helpless - - 3 points;

[0099] The rating analysis template may be as follows: out of a total of 5 stars, 1 star is lit up—2 points, 2 stars are lit up—1 point, 3 stars are lit up—0 points, 4 stars are lit up—1 point, and 5 stars are lit up—2 points.

[0100] On this basis, for each piece of emotional information, based on the occurrence information corresponding to the emotional information and the first quantitative information, the second quantitative information of the emotional information relative to the feedback information is obtained. For example, here the first quantitative information is represented by a score and the occurrence information is used to represent the number of occurrences. The product of the occurrence information and the first quantitative information can be used as the second quantitative information.

[0101] On the basis of obtaining the second quantitative information corresponding to each piece of emotional information, since the second quantitative information is information that can be quantified and can perform mathematical operations, the second quantitative information corresponding to each piece of emotional information can be accumulated, and the accumulated result can be used as the feedback analysis result, thereby ensuring the accuracy and comparability of the feedback analysis results.

[0102] In practical applications, optionally, when the number of feedback information is at least two, after obtaining the feedback analysis results corresponding to each piece of feedback information, these feedback analysis results can be accumulated again to obtain the feedback analysis results corresponding to these feedback information. The advantage of such a setting is that, generally speaking, the more times the ownership of an item is transferred under a certain item owner, the more feedback information the item has, and the feedback analysis results obtained thereby can better represent the user's preference for the item.

[0103] Another optional technical solution is that before providing feedback information about the item to the item owner, the above-mentioned item reliability analysis method further includes:

[0104] A pre-stored key-value pair is obtained, wherein the key-value pair uses a Unicode for representing an expression as a key and uses expression information for describing the expression as a value; based on the key-value pair, the Unicode in the feedback information is converted into the expression information, and the feedback information is updated based on the conversion result.

[0105] In practical applications, the feedback information may include at least one of a Chinese character string, an English character string, and a Unicode, wherein the Unicode is used to represent the expression. On this basis, in order to accurately analyze the degree of likes and dislikes represented by the expression, a key-value pair with the Unicode as the key and the expression information used to describe the expression as the value may be stored, thereby pre-storing the Unicode and expression information corresponding to various expressions that may be used in the expression analysis process. In practical applications, the expression information may optionally be a smiley face, praise, helplessness, or derogatory face as exemplified above, which is not specifically limited here; further optionally, in the Android system, the key-value pair may be stored as a hashmap.

[0106] Furthermore, based on the key-value pairs, the unicode in the feedback information is converted into expression information, and then the feedback information is updated based on the conversion result. Thus, the expression information in the feedback information can be analyzed based on the expression analysis template in the above example, thereby achieving the effect of accurate expression analysis.

[0107] In order to better understand the above-mentioned various technical solutions as a whole, the following can be combined with the application scenarios in the above-mentioned exemplary descriptions to provide exemplary descriptions. Figure 4 Here, the above-mentioned method for analyzing item reliability is encapsulated as an application (Application, app) for application:

[0108] Step 1: Consumers browse a product on an e-commerce platform and use an app to scan the barcode or QR code in the product image displayed on the e-commerce platform. The app can then obtain the product information of the product and return the product information to the backend server, so that the backend server can query the database based on the product information and return the relevant information of all merchants selling the product, as well as the product price and all product reviews of each merchant to the app. It should be noted that the emoticons in the product reviews fed back by the backend server have been encoded as unicode.

[0109] Step 2: The app can compare the prices of the product under different merchants to obtain price grading results, and then grade the prices of the product under different merchants based on the price grading prices, thereby obtaining the price level corresponding to each merchant (i.e. the price analysis results mentioned above).

[0110] Step 3: For each of the merchants, check all product reviews under that merchant, filter out false reviews and exclude them, and retain reliable reviews.

[0111] Step 4: For each of all merchants, score each reliable review of the product under the merchant based on multiple preset analysis templates, and add up the scores corresponding to each reliable review to obtain the total score of the product in the merchant (i.e. the feedback analysis result mentioned above).

[0112] Step 5: For each of all merchants, the price level and total score corresponding to the product under the merchant are comprehensively analyzed to obtain the reliability of the product under the merchant. The reliability can be used to indicate whether the product sold by the merchant is reliable.

[0113] Step 6: The reliability of goods from different merchants can be displayed on the app in the form of a list. Seriously unreliable merchants can be emphasized with different colors. For example, for merchants with a reliability lower than the preset score, the goods sold by the merchant can be marked as unreliable, and the product reviews do not match the product prices. On this basis, the most reliable merchants can also be emphasized with different colors so that consumers can focus on them. In addition, in addition to displaying the reliability of different merchants on the app, the unicode in the product reviews returned by the backend server can also be converted into real emoticons, so that the product reviews that consumers can understand can be displayed in the list.

[0114] The above-mentioned app can select merchants whose product prices and product reviews do not match from different merchants selling the same product, thereby effectively solving the problem of consumers being unable to find merchants whose product prices and product reviews are consistent due to false reviews, thereby effectively ensuring that consumers purchase products that meet their needs.

[0115] Figure 5 This is a structural block diagram of an item reliability analysis device provided in an embodiment of the present invention. The device is used to execute the item reliability analysis method provided in any of the above embodiments. The device and the item reliability analysis method in the above embodiments belong to the same inventive concept. For details not described in detail in the embodiment of the item reliability analysis device, please refer to the embodiment of the item reliability analysis method. Figure 5 The device may specifically include: an item information acquisition module 410, a feedback information acquisition module 420, a feedback analysis result acquisition module 430 and a reliability acquisition module 440.

[0116] The item information acquisition module 410 is used to acquire item information of an item to be analyzed for reliability;

[0117] The feedback information obtaining module 420 is used to obtain at least one item owner who transfers the ownership of the item based on the item information, and the value attribute values ​​and feedback information corresponding to the item under the at least one item owner;

[0118] The feedback analysis result obtaining module 430 is used to analyze the value attribute value of the item under the item owner for each item owner among the at least one item owner to obtain the value analysis result, and analyze the feedback information of the item under the item owner to obtain the feedback analysis result;

[0119] The reliability obtaining module 440 is used to obtain the reliability of the item under the item owner according to the value analysis result and the feedback analysis result.

[0120] Optionally, the number of feedback information is at least two, and the feedback analysis result obtaining module 430 includes:

[0121] A false information identification submodule, used to identify false information from at least two pieces of feedback information of the item under the item owner;

[0122] The feedback information analysis submodule is used to exclude false information from at least two pieces of feedback information and analyze the feedback information remaining after the at least two pieces of feedback information are excluded.

[0123] On this basis, the optional false information identification submodule includes:

[0124] An information detail acquisition unit, used for acquiring information details of feedback information for each piece of feedback information of at least two pieces of feedback information of the item under the item owner;

[0125] The false information identification unit is used to identify false information from at least two pieces of feedback information according to information details respectively corresponding to the at least two pieces of feedback information.

[0126] On this basis, the optional false information identification unit can be used to:

[0127] In a case where the information details corresponding to the at least two pieces of feedback information respectively include a publishing time and a publishing Internet protocol, treating a first preset number of pieces of feedback information published via the same Internet protocol within a first preset time interval among the at least two pieces of feedback information as false information;

[0128] and / or,

[0129] In the case where the information details include the publishing time and the account level of the publishing account, a second preset number of feedback information published by a publishing account with an account level lower than the first preset level within a second preset time interval among the at least two feedback information is regarded as false information;

[0130] and / or,

[0131] When the information details include the number of words in the information and the account level, feedback information in which the number of words in at least two pieces of feedback information is greater than the preset number of words and is published by an account with an account level lower than a second preset level is regarded as false information.

[0132] Optionally, the above-mentioned device for analyzing the reliability of an item further includes:

[0133] A preset analysis template acquisition module, used to acquire a preset analysis template, wherein the preset analysis template includes at least one emotional information;

[0134] The feedback analysis result obtaining module 430 may include:

[0135] The occurrence information obtaining submodule is used for searching the feedback information of the item under the item owner and each of the at least one emotional information in the emotional information in the feedback information to obtain the occurrence information of the emotional information in the feedback information;

[0136] The feedback analysis result obtaining submodule is used to obtain the feedback analysis result of the feedback information based on the occurrence information corresponding to each piece of emotional information.

[0137] On this basis, optionally, the preset analysis template further includes first quantitative information corresponding to each piece of emotional information in at least one piece of emotional information;

[0138] The above-mentioned device for analyzing the reliability of an article further comprises:

[0139] A second quantitative information obtaining module is used to obtain, after obtaining the occurrence information of the emotional information in the feedback information, second quantitative information of the emotional information relative to the feedback information based on the occurrence information corresponding to the emotional information and the first quantitative information;

[0140] Feedback analysis results to obtain submodules, which are specifically used for:

[0141] The second quantized information corresponding to each piece of emotional information is accumulated to obtain a feedback analysis result of the feedback information.

[0142] Alternatively, the above-mentioned device for analyzing the reliability of an item further includes:

[0143] A key-value pair acquisition module, used for acquiring a pre-stored key-value pair before providing feedback information on the item to the item owner, wherein the key-value pair uses a Unicode for representing an expression as a key and uses expression information for describing an expression as a value;

[0144] The feedback information updating module is used to convert the Unicode in the feedback information into expression information based on the key-value pair, and update the feedback information based on the conversion result.

[0145] Optionally, the above-mentioned device for analyzing the reliability of an item further includes:

[0146] A value grading result obtaining module is used to analyze the value attribute values ​​corresponding to the items under at least one item ownership party, grade the corresponding value attribute values, and obtain a value grading result;

[0147] The feedback analysis result obtaining module 430 may include:

[0148] The value analysis result obtaining unit is used to analyze the value attribute value of the item under the item owner based on the value classification result to obtain the value analysis result.

[0149] Optionally, the reliability obtaining module 440 is specifically used for:

[0150] According to the value analysis results and feedback analysis results, the matching between the value attribute value and the feedback information is obtained;

[0151] Based on the matching, the reliability of the item under the owner is obtained.

[0152] The device for analyzing the reliability of an item provided by the embodiment of the present invention cooperates with each other through the item information acquisition module and the feedback information acquisition module, obtains the item information of the item to be analyzed for reliability, and then obtains at least one item owner who can transfer the ownership of the item based on the item information, and the value attribute value and feedback information corresponding to the item under the at least one item owner; the feedback analysis result acquisition module and the reliability acquisition module cooperate with each other, and for each item owner in the at least one item owner, analyzes the value attribute value of the item under the item owner to obtain the value analysis result, and analyzes the feedback information of the item under the item owner to obtain the feedback analysis result, and then combines the value analysis result and the feedback analysis result to obtain the reliability of the item under the item owner, so that after processing each item owner, the reliability of the item under different item owners can be obtained respectively. The above device, by comprehensively analyzing the value attribute values ​​and feedback information corresponding to the same item under different item owners, realizes accurate analysis of the reliability of the same item under different item owners, thereby helping users to obtain items that meet their needs and improving the user's acquisition experience.

[0153] The device for analyzing the reliability of an item provided in the embodiment of the present invention can execute the method for analyzing the reliability of an item provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0154] It is worth noting that in the embodiment of the above-mentioned device for analyzing the reliability of an object, the various units and modules included are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0155] Figure 6 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0156] like Figure 6 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0157] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0158] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the method for analyzing the reliability of an item.

[0159] In some embodiments, the method for analyzing item reliability may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for analyzing item reliability described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the method for analyzing item reliability in any other appropriate manner (e.g., by means of firmware).

[0160] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0161] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine as a stand-alone software package and partially on a remote machine, or entirely on a remote machine or server.

[0162] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0163] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0164] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0165] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0166] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0167] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for analyzing the reliability of an item, characterized in that: include: For an item to be analyzed for reliability, obtaining item information of the item; Based on the item information, obtaining at least one item owner who transfers the ownership of the item, and the value attribute values ​​and feedback information corresponding to the item under the at least one item owner; For each of the at least one item owner, analyzing the value attribute value of the item under the item owner to obtain a value analysis result, and analyzing feedback information of the item under the item owner to obtain a feedback analysis result; The reliability of the item to the owner of the item is obtained according to the value analysis result and the feedback analysis result.

2. The method according to claim 1, characterized in that The number of the feedback information is at least two, and the analyzing the feedback information of the item to which the item belongs includes: Identifying false information from at least two pieces of feedback information about the item under the item's ownership; The false information is excluded from the at least two pieces of feedback information, and the feedback information remaining after the exclusion from the at least two pieces of feedback information is analyzed.

3. The method according to claim 2, characterized in that The step of identifying false information from at least two pieces of feedback information of the item under the item owner includes: For each piece of feedback information of at least two pieces of feedback information of the item under the item owner, obtaining information details of the feedback information; According to the information details respectively corresponding to the at least two pieces of feedback information, false information is identified from the at least two pieces of feedback information.

4. The method according to claim 3, characterized in that Identifying false information from the at least two pieces of feedback information according to the information details respectively corresponding to the at least two pieces of feedback information includes: In a case where the information details corresponding to the at least two pieces of feedback information respectively include a publishing time and a publishing Internet protocol, treating a first preset number of pieces of feedback information published via the same Internet protocol within a first preset time interval among the at least two pieces of feedback information as false information; and / or, In the case where the information details include the publishing time and the account level of the publishing account, a second preset number of feedback information published by a publishing account whose account level is lower than the first preset level within a second preset time interval among the at least two pieces of feedback information is regarded as false information; and / or, In the case where the information details include the number of information words and the account level, the feedback information in which the number of information words in the at least two feedback information is greater than the preset number of words and is published by an account with an account level lower than a second preset level is regarded as false information.

5. The method according to claim 1, characterized in that Also includes: Acquire a preset analysis template, wherein the preset analysis template includes at least one emotion information; The analyzing the feedback information of the item to the owner of the item to obtain the feedback analysis result includes: For the feedback information of the item under the item owner, and each piece of emotional information in the at least one piece of emotional information, searching the emotional information in the feedback information to obtain the occurrence information of the emotional information in the feedback information; Based on the occurrence information corresponding to each piece of emotional information, a feedback analysis result of the feedback information is obtained.

6. The method according to claim 5, characterized in that The preset analysis template further includes first quantitative information corresponding to each piece of emotional information in the at least one emotional information; After obtaining the occurrence information of the emotion information in the feedback information, the method further includes: Based on the occurrence information corresponding to the emotion information and the first quantification information, obtaining second quantification information of the emotion information relative to the feedback information; The obtaining of the feedback analysis result of the feedback information based on the occurrence information corresponding to each of the emotion information includes: The second quantization information corresponding to each piece of emotion information is accumulated to obtain a feedback analysis result of the feedback information.

7. The method according to claim 5, characterized in that Before the feedback information about the item to the item owner is sent, the method further includes: Obtaining a pre-stored key-value pair, wherein the key-value pair uses a Unicode for representing an expression as a key and uses expression information for describing the expression as a value; Based on the key-value pair, the Unicode in the feedback information is converted into expression information, and the feedback information is updated based on the conversion result.

8. The method according to claim 1, characterized in that: Also includes: By analyzing the value attribute values ​​of the items respectively corresponding to the at least one item owner, the respectively corresponding value attribute values ​​are graded to obtain a value grading result; The analyzing the value attribute value of the item under the ownership of the item to obtain the value analysis result includes: Based on the value grading result, the value attribute value of the item under the item owner is analyzed to obtain a value analysis result.

9. The method according to claim 1, characterized in that: The obtaining of the reliability of the item under the item owner according to the value analysis result and the feedback analysis result includes: According to the value analysis result and the feedback analysis result, obtaining the matching between the value attribute value and the feedback information; According to the matching, the reliability of the item to the owner of the item is obtained.

10. An analysis device for the reliability of an article, characterized in that: include: An item information acquisition module, used for acquiring item information of an item to be analyzed for reliability; A feedback information obtaining module, used to obtain, based on the item information, at least one item owner who transfers the ownership of the item, and the value attribute values ​​and feedback information corresponding to the item under the at least one item owner; A feedback analysis result obtaining module is used to analyze the value attribute value of the item under the item owner of the at least one item owner to obtain a value analysis result, and analyze the feedback information of the item under the item owner to obtain a feedback analysis result; The reliability obtaining module is used to obtain the reliability of the item under the item owner according to the value analysis result and the feedback analysis result.

11. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to perform the method for analyzing the reliability of an item according to any one of claims 1 to 9.

12. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for analyzing the reliability of an item as described in any one of claims 1 to 9 when executed.

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