Commodity evaluation information processing method and program product

Abstract

One or more embodiments of the invention provide a commodity evaluation information processing method and a program product. The commodity evaluation information processing method can comprise the following steps: determining a target commodity; an evaluation result corresponding to the target commodity is displayed, the evaluation result comprises indication identifiers corresponding to a plurality of evaluation dimensions, and the display position of each indication identifier is related to the historical evaluation of the target commodity on the corresponding evaluation dimension; wherein the historical evaluation of the target commodity in the corresponding evaluation dimension is generated by processing historical evaluation information of the target commodity.

Description

Technical Field

[0001] One or more embodiments of the present specification relate to the field of Internet technology, and in particular, to a method and program product for processing product evaluation information. Background Art

[0002] For users who have not actually purchased or used a product, the historical evaluation of the product is often an important factor for users to understand the product and make the final decision whether to buy it. However, since the historical evaluation information of a product may be large in quantity, it is difficult for users to efficiently obtain useful information.

[0003] To this end, the product evaluation system in the related art summarizes the historical evaluation information and provides the user with the corresponding summary text evaluation. Although this method reduces the amount of text information compared to directly browsing the historical evaluation information, in order to describe the true status of the product as objectively and comprehensively as possible, the content of the summary text evaluation is still very large, and the user still needs to read and understand a large amount of text content, which requires a lot of time and energy, resulting in the efficiency of users making judgments and purchasing decisions on products still needs to be improved. Summary of the invention

[0004] In view of this, one or more embodiments of this specification provide the following technical solutions:

[0005] According to a first aspect of one or more embodiments of this specification, a method for processing product evaluation information is proposed, including:

[0006] Determine target products;

[0007] The evaluation results corresponding to the target product are displayed, wherein the evaluation results include indicator marks corresponding to multiple evaluation dimensions, and the display position of each indicator mark is related to the level of historical evaluation of the target product in the corresponding evaluation dimension; wherein the historical evaluation of the target product in the corresponding evaluation dimension is generated by processing the historical evaluation information of the target product.

[0008] According to a second aspect of one or more embodiments of the present specification, a computer program product is provided, comprising a computer program / instruction, which implements the steps of the method described in the first aspect when executed by a processor.

[0009] It can be seen from the above embodiments that when displaying the evaluation results corresponding to the target product, this manual uses an indicator to characterize the historical evaluation of the target product in the corresponding evaluation dimension, and makes the display position of the indicator related to the level of the historical evaluation of the corresponding evaluation dimension. Compared with directly displaying text content for users to read and understand, the graphical display form of "display position of the indicator" can relatively more intuitively and clearly show the pros and cons of the target product in the corresponding evaluation dimension, effectively improving the efficiency of users in making judgments and purchasing decisions on the target product. At the same time, this manual can correspond to multiple evaluation dimensions through multiple indicator marks, and simultaneously characterize the level of historical evaluation of the target product in the corresponding multiple evaluation dimensions based on the display positions of the multiple indicator marks, which can enable users to efficiently understand the target product while helping users to understand the target product more comprehensively and carefully from the multiple evaluation dimensions, so that users can make accurate judgments on the pros and cons of the target product and the degree of matching with themselves. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 It is a schematic diagram of a system architecture on which a commodity evaluation information processing platform relies provided by an exemplary embodiment.

[0011] Figure 2 It is a schematic diagram of an evaluation summary in a related art provided by an exemplary embodiment.

[0012] Figure 3 It is a flowchart of a method for processing commodity evaluation information provided by an exemplary embodiment.

[0013] Figure 4 It is a schematic diagram of an evaluation result of a target commodity provided by an exemplary embodiment.

[0014] Figure 5 It is a schematic diagram of a kind of benchmark marking information provided by an exemplary embodiment.

[0015] Figure 6 is a schematic diagram of a baseline provided by an exemplary embodiment.

[0016] Figure 7 This is a schematic diagram of a reference line and an indicator mark provided by an exemplary embodiment.

[0017] Figure 8 It is a schematic diagram of an evaluation result including primitive labels and emotional patterns provided by an exemplary embodiment.

[0018] Figure 9a It is a schematic diagram of an evaluation result of a low-star hotel accommodation product provided by an exemplary embodiment.

[0019] Figure 9b It is a schematic diagram of an evaluation result in an e-sports hotel service scenario provided by an exemplary embodiment.

[0020] Fig.10 This is a schematic diagram of evaluation information displayed on a client of a commodity evaluation information processing platform provided by an exemplary embodiment.

[0021] Fig.11 It is a structural schematic diagram of a device provided by an exemplary embodiment.

[0022] Fig.12 It is a block diagram of a device for processing commodity evaluation information provided by an exemplary embodiment. DETAILED DESCRIPTION

[0023] The user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this manual are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of relevant countries and regions, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0024] Figure 1 FIG. 1 is a schematic diagram of a system architecture on which a commodity evaluation information processing platform is based, provided by an exemplary embodiment. Figure 1 As shown, the system architecture may include a server 11, a network 12, and several electronic devices, such as a PC (Personal Computer) 13, a mobile phone 14, and the like.

[0025] The server 11 may be a physical server including an independent host, or the server 11 may be a virtual server carried by a host cluster. During operation, the server 11 may run a server-side program of the commodity evaluation information processing platform to realize the service end of the commodity evaluation information processing platform.

[0026] PC13 and mobile phone 14 are only some types of electronic devices that users can use. In fact, users can obviously also use electronic devices such as the following types: tablet devices, laptops, PDAs (Personal Digital Assistants), wearable devices (such as smart glasses, smart watches, etc.), etc., and one or more embodiments of this specification do not limit this. During operation, the electronic device can run the client-side program of the product evaluation information processing platform to implement the client of the product evaluation information processing platform. Among them, the client application of the above-mentioned product evaluation information processing platform can be started and run on the electronic device. The client-side program can be a native application installed on the electronic device, or the client-side program can be a small program, a quick application or other similar forms. Of course, when using web page technologies such as HTML5 or similar, the relevant functions can be implemented through the page displayed by the browser. The browser here can be an independent browser application or a browser module embedded in certain applications.

[0027] As for the network 12 for interaction between electronic devices such as PC 13 and mobile phone 14 and server 11, it is possible to select a wired or wireless network to achieve communication based on the communication mode supported by the corresponding electronic device, and this specification does not limit this. For example, PC 13 can support both wired and wireless communication, so it can use a wired or wireless network to achieve communication as needed, while mobile phone 14 usually only supports wireless communication, so it can use a wireless network to achieve communication.

[0028] The above-mentioned commodity evaluation information processing platform may be aimed at merchants who sell commodities and buyers who purchase commodities. Buyers can publish evaluation information for commodities after purchasing or using the commodities; they can also view the existing evaluation information of commodities to make decisions during the process of purchasing commodities. Merchants need to view and analyze the evaluation information published by buyers to optimize the corresponding commodities according to the analysis results. It should be noted that the commodity evaluation information processing platform and the commodity sales platform can be the same platform. In this case, all data are managed on the same platform, and buyers can complete the whole process from browsing, purchasing to evaluating commodities on one platform. The commodity evaluation information processing platform and the commodity sales platform can also be different platforms. For example, buyers can search or submit evaluation information on various commodities and services in an independent commodity evaluation information processing platform, and merchants can choose to embed the evaluation information in the commodity evaluation information processing platform into the commodity sales platform.

[0029] In the related art, a product evaluation information processing platform usually generates a corresponding summary text evaluation based on the historical evaluation information posted by the user, and displays the summary text evaluation to the user. Figure 2FIG. 1 is a schematic diagram of an evaluation summary in a related technology shown by an exemplary embodiment. Figure 2 , a travel service platform can provide multiple hotel accommodation products of Hotel A, and generate corresponding summary text evaluations based on the evaluation information of these hotel accommodation products. The summary text evaluation encompasses the characteristics of the hotel accommodation products provided by Hotel A. At the same time, the text evaluations corresponding to the four dimensions of "room comfort", "facilities and equipment", "services" and "location" are also displayed. Obviously, the content of the summary text evaluation is still very large, and users still need to read and understand a large amount of text content, which increases the reading cost of users, and the content of the summary text evaluation is also difficult to intuitively help users judge the pros and cons of the products. The technical solution of this specification can help users intuitively and clearly understand the pros and cons of the target products based on the evaluation information.

[0030] The following will be combined Figure 3 , the technical solution of this specification is described in detail.

[0031] Figure 3 FIG. 1 is a flowchart of a method for processing product evaluation information provided by an exemplary embodiment. Figure 2 As shown, the method may include the following steps:

[0032] Step 302, determine the target product.

[0033] The target product can be any product or service, and this specification does not specifically limit the fields, usage scenarios, sources, etc. of the target product. For example, the target product can be hotel accommodation products, travel service products, physical products (such as electronic products, furniture, food, etc.), online course products, etc.

[0034] Step 304, displaying the evaluation results corresponding to the target product, the evaluation results include indicator marks corresponding to multiple evaluation dimensions, and the display position of each indicator mark is related to the historical evaluation level of the target product in the corresponding evaluation dimension; wherein the historical evaluation of the target product in the corresponding evaluation dimension is generated by processing the historical evaluation information of the target product.

[0035] There are differences in the evaluation dimensions involved in different target products. Taking the accommodation products provided by the hotel as an example, the evaluation dimensions for hotel accommodation products may include but are not limited to: services (such as SMS greetings, birthday benefits, foreign language services, etc.), hotel exterior (such as built within 5 years, renovated within 5 years, providing fruit / tea, local breakfast, surrounded by lakes, located around CBD, etc.), room interior (such as cleanliness, bed brand, providing pet supplies, providing earplugs, dental floss and other auxiliary equipment, etc.). The evaluation dimensions of the target product can be set by the merchant selling the target product, or can be obtained by statistics such as data mining by the product sales platform or the product evaluation information processing platform, and this manual does not impose specific restrictions on this.

[0036] The user can view the evaluation information of the target product through the corresponding client. The corresponding client can be a client of the product evaluation information processing platform or a client of the product sales platform. The client can show the evaluation result corresponding to the target product to the user, and the evaluation result is generated by the server of the product evaluation information processing platform based on the historical evaluation information of the target product. Exemplarily, the server can use a large language model to process the historical evaluation information of the target product and generate the historical evaluation of the target product in multiple evaluation dimensions.

[0037] In an illustrated implementation, the server can use a large language model to analyze and process all historical evaluation information of the target product, and summarize all evaluation dimensions involved in these historical evaluation information. In order to further improve the display effect of the evaluation results, the large language model can be used to select the first i dimensions (i is a positive integer) with the most mentions in the historical evaluation information from the summarized evaluation dimensions, and use these i dimensions as the evaluation dimensions required for the evaluation results. Furthermore, the large language model is used to select historical evaluation information related to each of these i dimensions from all historical evaluation information of the target product, and generate historical evaluations corresponding to each of these i dimensions based on the selected historical evaluation information.

[0038] In another illustrated embodiment, the evaluation dimension database may also be manually defined, for example, the evaluation dimensions required for each category may be defined separately according to the product category. Then, the server may use the large language model to determine the category to which the target product belongs, and query the evaluation dimension matching the category to which the target product belongs from the evaluation dimension database (hereinafter referred to as the "target evaluation dimension"), and then select the historical evaluation information related to the target evaluation dimension from all the historical evaluation information of the target product, so as to generate the historical evaluation corresponding to each evaluation dimension in the target evaluation dimension based on the selected historical evaluation information.

[0039] Furthermore, the evaluation results of the target product can be generated based on the historical evaluations in multiple evaluation dimensions. In this embodiment, the evaluation results displayed by the client can include indicator marks corresponding to the multiple evaluation dimensions, and the display position of each indicator mark is related to the historical evaluation level of the target product in the corresponding evaluation dimension.

[0040] See also Figure 4 , Figure 4 FIG. 1 is a schematic diagram of an evaluation result of a target commodity provided by an exemplary embodiment. Figure 4 In, the evaluation dimensions of the target product P include hotel services, catering, bedding equipment and sound insulation effects. Each evaluation dimension corresponds to an indicator mark, and the display position of each indicator mark represents the level of historical evaluation on the corresponding evaluation dimension. Among them, the display position of indicator mark 1 corresponding to the "hotel service" evaluation dimension is higher, indicating that the historical evaluation of the target product P in the "hotel service" evaluation dimension is higher. The display position of indicator mark 2 corresponding to the "catering" evaluation dimension is lower, indicating that the historical evaluation of the target product P in the "catering" evaluation dimension is lower. In this way, users can quickly and intuitively understand the advantages and disadvantages of the target product in each evaluation dimension according to the display position of each indicator mark, and then judge the quality of the target product. It should be noted that Figure 4 The display position of the indicator logo shown is only an example, and this specification does not specifically limit the specific display position of the indicator logo. For example, the level of these historical evaluations can be determined according to the historical evaluation of the target product in multiple evaluation dimensions, and then the display position of the corresponding indicator logo can be determined according to the level. For another example, the historical evaluation of the target product in multiple evaluation dimensions can be quantified to generate the score corresponding to each historical evaluation, and then the display position of the corresponding indicator logo can be determined according to the score.

[0041] In the above embodiment, when displaying the evaluation results corresponding to the target product, the historical evaluation of the target product in the corresponding evaluation dimension is represented by an indicator mark, and the display position of the indicator mark is related to the level of the historical evaluation of the corresponding evaluation dimension. Compared with directly displaying text content for users to read and understand, the graphical display form of "the display position of the indicator mark" can relatively more intuitively and clearly show the advantages and disadvantages of the target product in the corresponding evaluation dimension, effectively improving the efficiency of users in making judgments and purchasing decisions on the target product. At the same time, this manual can correspond to multiple evaluation dimensions through multiple indicator marks, and simultaneously represent the level of historical evaluation of the target product in the corresponding multiple evaluation dimensions based on the display positions of the multiple indicator marks, which can enable users to efficiently understand the target product while helping users to understand the target product more comprehensively and carefully from the multiple evaluation dimensions, so that users can make accurate judgments on the advantages and disadvantages of the target product and the degree of matching with themselves.

[0042] In one embodiment, in the process of displaying the evaluation results of the target product, the client can also display the benchmark marking information generated according to the historical evaluation information of the target product and the benchmark marking information reflects the average quality level of the target product. Exemplarily, the target category to which the target product belongs is determined, and the historical evaluation information of the target product is collected. The collected historical evaluation information is processed to generate the historical evaluation of the target product in multiple evaluation dimensions. The multiple evaluation dimensions are consistent with the evaluation dimensions involved in the evaluation results of the target product. Since the historical evaluation of the target product in any evaluation dimension reflects the average level of all products in the target category in the evaluation dimension, the benchmark marking information corresponding to the multiple evaluation dimensions is displayed according to the historical evaluation of the target product in multiple evaluation dimensions, which can help users understand the average quality level of the target product in each evaluation dimension according to the benchmark marking information corresponding to each evaluation dimension. In addition, for any evaluation dimension, the relative relationship between the corresponding indicator and the display position of the benchmark marking information can be used to indicate the high and low relationship between the historical evaluation of the target product and the historical evaluation of the target product in the target category in the evaluation dimension. The relative relationship between the display position of each indicator and the benchmark marking information corresponding to the corresponding evaluation dimension may include: a relative high-low relationship, a relative left-right relationship or other positional relationships. Figure 5 , Figure 5 FIG. 1 is a schematic diagram of a reference marking information provided by an exemplary embodiment. Figure 5 In , the benchmark indication information is represented by a benchmark line segment. The display position of any benchmark line segment is used to characterize the average quality level of similar products in the target category in the corresponding evaluation dimension. For the "hotel service" evaluation dimension, the display position of the corresponding indicator 1 is higher than the display position of the corresponding benchmark line segment, indicating that in the "hotel service" evaluation dimension, the historical evaluation of the target product is higher than the historical evaluation of similar products in the target category, that is, higher than the average level of all products under the target category in the "hotel service" evaluation dimension. For the "catering" evaluation dimension, the display position of the corresponding indicator 2 is lower than the display position of the corresponding benchmark line segment, indicating that in the "catering" evaluation dimension, the historical evaluation of the target product is lower than the historical evaluation of similar products in the target category, that is, lower than the average level of all products under the target category in the "catering" evaluation dimension. In other words, users can quickly determine the relative high and low relationship between the target product and the average level of similar products based on the relative position relationship between the indicator and the benchmark indication information. It should be noted that Figure 5 This is only an example, and this specification does not specifically limit the presentation form of the benchmark marking information. For example, the benchmark marking information can be a logo, text, specific symbol, chart or other forms.

[0043] In this embodiment, in the process of displaying the evaluation results corresponding to the target product, the benchmark indication information corresponding to the same evaluation dimensions of the target product are also displayed. This can help users intuitively and clearly understand the relative high and low relationship between the target product and the average level of similar products based on the relative position relationship between the indicator corresponding to each evaluation dimension and the benchmark indication information, thereby further deepening the user's understanding of the quality of the target product.

[0044] In one embodiment, the benchmark indication information may include a benchmark line extending along a preset direction. It should be noted that the benchmark lines corresponding to the multiple evaluation dimensions may be the same benchmark line or may be different independent benchmark lines, and this specification does not limit this. For any evaluation dimension, if the historical evaluation of the target product in the corresponding evaluation dimension is higher than the historical evaluation of similar products in the target category, the indicator mark may be displayed on one side of the benchmark line; if the historical evaluation of the target product in the corresponding evaluation dimension is lower than the historical evaluation of similar products in the target category, the indicator mark may be displayed on the other side of the benchmark line.

[0045] Figure 6 is a schematic diagram of a baseline provided by an exemplary embodiment. Figure 6 As shown, the baselines corresponding to the four evaluation dimensions of hotel service, catering, bedding equipment and sound insulation effect are the same baseline. Among them, for the two evaluation dimensions of "hotel service" and "bedding equipment", the historical evaluation of the target product in these two evaluation dimensions is higher than the historical evaluation of similar products in the target category, so the indicator marks corresponding to these two evaluation dimensions can be displayed above the baseline. The historical evaluation of the target product in the two evaluation dimensions of "catering" and "sound insulation effect" is lower than the historical evaluation of similar products in the target category, so the indicator marks corresponding to these two evaluation dimensions can be displayed below the baseline.

[0046] In this embodiment, the benchmark marking information is intuitively represented by a benchmark line, so that the user can see at a glance the position of the indicator corresponding to each evaluation dimension relative to the benchmark line, helping the user to quickly and accurately determine in which evaluation dimensions the target product is better than the average level of similar products, and in which evaluation dimensions the target product is worse than the average level of similar products.

[0047] In one embodiment, when the benchmark marking information is represented by a benchmark line, the interval between the indicator corresponding to any evaluation dimension and the benchmark line is positively correlated with the evaluation difference. The evaluation difference refers to the absolute value of the difference between the historical evaluation of the target product on the corresponding evaluation dimension and the historical evaluation of similar products of the target category. Exemplarily, for any evaluation dimension, the historical evaluation of the target product on the evaluation dimension can be quantified to generate the historical evaluation score of the target product on the evaluation dimension. And the historical evaluation of similar products of the target category on the evaluation dimension is quantified to generate the overall historical evaluation mean corresponding to the evaluation dimension. Then the evaluation difference is calculated by the historical evaluation score corresponding to the evaluation dimension and the overall historical evaluation mean, so as to determine the interval between the corresponding indicator and the benchmark according to the evaluation difference. Alternatively, the relative high and low relationship between the historical evaluation of the target product on any evaluation dimension and the historical evaluation of similar products of the target category on the same evaluation dimension can be determined, and then the relative high and low relationship can be quantified to obtain the evaluation difference corresponding to any evaluation dimension, and then the interval between the corresponding indicator and the corresponding benchmark can be determined according to the evaluation difference. It can be understood that if the evaluation difference corresponding to any evaluation dimension is zero, the indicator under the evaluation dimension can be displayed on the baseline.

[0048] Figure 7 FIG. 1 is a schematic diagram of a reference line and an indicator mark provided by an exemplary embodiment. Figure 7 As shown in the figure, the interval between the indicator and the baseline of each evaluation dimension is positively correlated with the evaluation difference corresponding to the corresponding evaluation dimension. Among them, the interval between the indicator and the baseline of the evaluation dimension "hotel service" is the largest, indicating that compared with the other three evaluation dimensions, the historical evaluation of the target product in the evaluation dimension of "hotel service" is much higher than the historical evaluation of similar products in the evaluation dimension of "hotel service". The interval between the indicator and the baseline of the evaluation dimension "catering" is the smallest, indicating that compared with the other three evaluation dimensions, the historical evaluation of the target product in the evaluation dimension of "catering" is much lower than the historical evaluation of similar products in the evaluation dimension of "catering".

[0049] Furthermore, the indicator marks of each evaluation dimension can be connected in sequence to form an evaluation curve of the target product, and the evaluation curve can be displayed to the user. In this way, the change of the target product in multiple evaluation dimensions can be intuitively understood according to the change trend of the evaluation curve.

[0050] In this embodiment, the relative high and low relationship between the historical evaluation of the target product on the corresponding evaluation dimension and the historical evaluation of similar products on the same evaluation dimension is quantified as the corresponding evaluation difference, and the interval between the indicator mark and the baseline of the corresponding evaluation dimension is determined according to the evaluation difference, thereby achieving accurate representation of the actual level of the target product on each evaluation dimension according to the size of the interval, which helps to further highlight the advantages and disadvantages of the target product and deepen the user's understanding of the target product.

[0051] In one embodiment, the evaluation results of the target product may also include primitive labels and / or emotional patterns of the target product in each evaluation dimension. The primitive labels on any evaluation dimension can be understood as labels used to indicate the characteristics of the target product in this evaluation dimension, including but not limited to the historical evaluation information of the target product in this evaluation dimension, and / or keywords extracted from the historical evaluation information corresponding to this evaluation dimension. Emotional patterns refer to patterns used to characterize user evaluation emotions, and user evaluation emotions can be obtained by analyzing the evaluation information posted by the user. This specification does not limit the number of primitive labels or emotional patterns on each evaluation dimension.

[0052] The primitive label and / or emotional pattern is related to the historical evaluation level of the target product on the corresponding evaluation dimension. When the historical evaluation of the target product on the corresponding evaluation dimension is higher than the historical evaluation of similar products in the target category on the corresponding evaluation dimension, the primitive label corresponds to a positive evaluation, and / or the emotional pattern includes a pattern in which the user evaluates the emotion as a positive emotion. When the historical evaluation of the target product on the corresponding evaluation dimension is lower than the historical evaluation of similar products in the target category on the corresponding evaluation dimension, the primitive label corresponds to a negative evaluation, and / or the emotional pattern includes a pattern in which the user evaluates the emotion as a negative emotion. In the process of displaying the evaluation results corresponding to the target product, for each evaluation dimension, the primitive label and / or emotional pattern of the evaluation dimension can be displayed in association with the indicator mark under the evaluation dimension.

[0053] Figure 8 FIG. 1 is a schematic diagram of an evaluation result including primitive labels and emotional patterns provided by an exemplary embodiment. Figure 8As shown, for the evaluation dimension of "hotel service", the keywords matching this evaluation dimension extracted from the historical evaluation information posted by users include: different language guidance, proactively contacting restaurants to book seats, and providing day tour services. These keywords are used as primitive labels for the evaluation dimension of "hotel service". Since these keywords can reflect that the historical evaluation of the target product in the evaluation dimension of "hotel service" is higher than the historical evaluation of similar products in the evaluation dimension of "hotel service", a smiling face pattern can be associated and displayed around each primitive label to indicate the user's positive emotions towards "hotel service" through the smiling face pattern. For the evaluation dimension of "sound insulation effect", the keywords matching this evaluation dimension extracted from the historical evaluation information posted by users include: average sound insulation effect but earplugs are provided. This keyword reflects that the historical evaluation of the target product in the evaluation dimension of "sound insulation effect" is lower than the historical evaluation of similar products in the evaluation dimension of "hotel service", so a crying face pattern can be associated and displayed around the primitive label of "average sound insulation effect but earplugs are provided" to indicate the user's negative emotions towards "sound insulation effect" through the crying face pattern.

[0054] In this embodiment, the primitive label and / or emotional pattern of each evaluation dimension is displayed in association with the corresponding indicator mark, so that the user is prompted by the primitive label and / or emotional pattern with the specific advantages and disadvantages of the target product in each evaluation dimension, which helps the user make decisions based on the prompts of the primitive label and / or emotional pattern.

[0055] In one embodiment, in the process of displaying the evaluation results corresponding to the target product, the indicator logo, primitive label and / or emotional pattern can be displayed through different display attributes. Exemplarily, for each evaluation dimension, if the historical evaluation of the target product in a certain evaluation dimension is higher than the historical evaluation of similar products in the target category, then the indicator logo, primitive label and / or emotional pattern under the evaluation dimension can be displayed with a first display attribute; and if the historical evaluation of the target product in a certain evaluation dimension is higher than the historical evaluation of similar products in the target category, then the indicator logo, primitive label and / or emotional pattern under the evaluation dimension can be displayed with a second display attribute. Display attributes include, but are not limited to: color, shape, size. For example, the first display attribute is to display in purple, and the second display attribute is to display in blue. Those skilled in the art can set the first display attribute and the second display attribute according to actual needs, and this specification does not specifically limit this.

[0056] In this embodiment, the evaluation results of different evaluation levels are differentiated and displayed through the first display attribute and the second display attribute, which helps to directly filter out the historical evaluations of the target product with higher / lower quality than similar products in the corresponding evaluation dimension according to the corresponding display attributes, thereby improving the user's recognition efficiency of the evaluation results.

[0057] In one embodiment, the evaluation result may further include dimension description information for indicating each evaluation dimension. In the process of displaying the evaluation result corresponding to the target product, each indicator mark may be displayed in association with the corresponding dimension description information. Figure 8 ,The dimensional description information includes: hotel services, catering, bedding equipment and sound insulation effects.

[0058] The source of the evaluation dimension for the target product may include a combination of one or more of the following situations:

[0059] (1) The top n dimensions with the highest attention counted from the historical evaluation information of similar products in the target category, where n is a positive integer. Among them, the method of calculating the attention count can be set by technical personnel in this field according to actual needs, and this specification does not limit this. For example, in the case where the hotel accommodation product belongs to the accommodation product provided by the e-sports hotel, the top n dimensions with the highest attention counted can be counted from the historical evaluation information corresponding to the accommodation products provided by all e-sports hotels, such as the top three dimensions with the highest attention counted: e-sports equipment, room hygiene, and catering supply. By determining the evaluation dimensions of the target product through this source, it is possible to determine multiple evaluation dimensions applicable to the same category of products from the fine-grained level of the product category, effectively expanding the scope of application of the determined evaluation dimensions. In addition, from the global perspective of the same category of products, the diversity and accuracy of the evaluation dimensions can be further improved.

[0060] (2) The top m dimensions with the highest attention counted from the historical evaluation information of the target product, where m is a positive integer. The method for calculating the attention can be set by a person skilled in the art according to actual needs, and this specification does not limit this. This method of determining the evaluation dimension focuses more on the historical evaluation information of the target product itself, and can specifically determine the evaluation dimension applicable to the target product, improve the matching degree between the evaluation dimension and the target product, and thus improve the accuracy of the evaluation result.

[0061] (3) Personalized attention dimensions determined based on the attribute characteristics and / or behavioral characteristics of the current user. The attribute characteristics of the user include, but are not limited to: age, gender, occupation, income level, family size, marital status, and place of residence. The behavioral characteristics of the user may include, but are not limited to: historical search records, historical travel records, historical purchase records, historical interactive behaviors (such as historical evaluations, likes, collections, etc. of purchased products in the product evaluation information processing platform or the product sales platform), and interest tags. The personalized attention dimensions of the current user can be obtained by comprehensively analyzing the attribute characteristics and / or behavioral characteristics of the current user. Still taking the hotel accommodation product as an example, for example, when the current user is determined to be an elderly person based on the user's age, the personalized attention dimensions of the current user can be determined to include health protection measures, hotel location, room hygiene, etc. For another example, when the current user is determined to be married with children based on the user's family size, the personalized attention dimensions of the current user can be determined to include room hygiene, number of beds, sound insulation, etc. For another example, when it is determined that the current user pays attention to hotel hygiene based on the user's historical interactive behavior on the product evaluation information processing platform or the product sales platform (such as historical purchase records, historically published comments), it can be determined that the current user's personalized attention dimensions include hotel environment and room hygiene. In addition, the product evaluation information processing platform can collect, mine and analyze the attribute characteristics and behavioral characteristics of a large number of users, so as to determine the corresponding personalized attention dimensions based on the attribute characteristics and behavioral characteristics of these users, and form an attention dimension database. Then, according to the attribute characteristics and / or behavioral characteristics of the current user, the matching personalized attention dimensions are searched from the attention dimension database. The personalized attention dimensions of the user are determined based on the attribute characteristics and / or behavioral characteristics of the current user, so as to display personalized evaluation results to the current user based on the personalized attention dimensions, which helps to meet the user's personalized needs for viewing evaluation information and improve the user's stickiness and satisfaction with the product evaluation information processing platform.

[0062] In one embodiment, if the multiple evaluation dimensions of the target product correspond to multiple services provided by the target product to the user, then in the process of displaying the evaluation results corresponding to the target product, the indicator marks and dimension description information corresponding to the multiple evaluation dimensions in the evaluation results can be arranged and displayed in sequence according to the time sequence between the services provided by the target product to the user. Taking the wedding planning product as the target product as an example, in the time sequence, the target product can provide users with five services, namely, venue reservation, wedding planning, wedding photography, makeup styling, and banquet services. And the multiple evaluation dimensions of the target product are venue, planning scheme, photography, makeup, and banquet. Among them, the "venue" evaluation dimension corresponds to the venue reservation service, the "planning scheme" evaluation dimension corresponds to the wedding planning service, the "photography" evaluation dimension corresponds to the wedding photography service, the "makeup" evaluation dimension corresponds to the makeup styling service, and the "banquet" evaluation dimension corresponds to the banquet service. In the process of displaying the evaluation results corresponding to the wedding planning product, the indicator marks and dimension description information corresponding to each evaluation dimension can be arranged and displayed in sequence according to the time sequence of the above five services. In this way, users can determine the quality of services provided by the target product at different time points according to the arrangement order of various indicator identifiers and dimensional description information, which makes it easier for users to compare the quality of the same services included in similar products horizontally, helping users to choose the product that suits them best.

[0063] In one embodiment, the classification basis of the target category of the target commodity may include at least one of the following: commodity level, service scenario. The commodity level can be determined according to the relevant standards / specifications of the field to which it belongs. For example, it is assumed that hotel accommodation commodity A is a commodity provided by a five-star hotel, and hotel accommodation commodity B is a commodity provided by a fast hotel. Then, in the case of taking hotel accommodation commodity A as the target commodity, it can be determined that the target category of hotel accommodation commodity A is the accommodation commodity provided by a high-star hotel, and the high-star hotel can include a four-star or five-star hotel rated by the tourism management association or industry association of each country. In the case of taking hotel accommodation commodity B as the target commodity, it can be determined that the target category of hotel accommodation commodity B is the accommodation commodity provided by a low-star hotel, and the low-star hotel can include other hotels except the high-star hotel. For target commodities of different commodity levels, the corresponding evaluation dimensions are different. Taking high-star hotels and low-star hotels as examples, because the level of low-star hotels is lower than that of high-star hotels, the sanitation quality of their rooms is usually lower than that of high-star hotels, so users will pay more attention to information related to room sanitation when purchasing accommodation commodities of low-star hotels, and will pay more attention to the bedding equipment used by the hotel when purchasing accommodation commodities of high-star hotels. Therefore, room hygiene can be used as one of the evaluation dimensions of low-star hotel accommodation products to provide users with corresponding evaluation results. Figure 9a ,assumed Figure 5 The evaluation results of high-star hotel accommodation products are shown. Figure 9a The evaluation results of low-star hotel accommodation products are shown in Figure 2. Obviously, the evaluation dimensions included in the evaluation results shown in the two figures are not consistent. Figure 5 In the evaluation of high-star hotel accommodation products, the evaluation dimensions include: hotel services, catering, bedding equipment and sound insulation. Figure 9a The evaluation dimensions of medium and low-star hotel accommodation products include: hotel services, business district convenience, room hygiene and sound insulation.

[0064] The service scenario can be determined based on the services provided by the target product or the usage scenario of the target product. Taking hotel accommodation products as an example, some hotels can provide e-sports equipment. When the accommodation products of these hotels are used as target products, the target category of these hotel accommodation products can be determined as accommodation products provided by e-sports hotels based on the service scenario containing e-sports equipment. Similarly, the service scenario can also be a business scenario, a couple scenario or other scenario. Based on the business scenario, it can be determined that the target category of the target product is accommodation products provided by business hotels. Based on the couple scenario, it can be determined that the target category of the target product is accommodation products suitable for couples. For target products in different service scenarios, the corresponding evaluation dimensions are different. Figure 9b FIG. 1 is a schematic diagram of an evaluation result in an e-sports hotel service scenario provided by an exemplary embodiment. Figure 9b As shown in the figure, when users purchase accommodation products in e-sports hotels, they will pay more attention to the quality of the e-sports equipment provided by the hotel. Therefore, e-sports equipment can be used as one of the evaluation dimensions of e-sports hotel accommodation products. Figure 9b In the evaluation, the dimensions of e-sports hotel accommodation products can include: hotel location, catering, room hygiene and e-sports equipment.

[0065] Setting different evaluation dimensions for products at different product levels or service scenarios will help to more accurately collect users' historical evaluation information on the corresponding evaluation dimensions, and then help other users to more comprehensively understand the characteristics of products at the corresponding product levels or service scenarios through targeted evaluation dimensions.

[0066] Fig.10 FIG. 1 is a schematic diagram showing evaluation information displayed on a client of a commodity evaluation information processing platform according to an exemplary embodiment. Fig.10 As shown in the figure, taking the accommodation product of a hotel as the target product as an example, the evaluation information of the product includes the evaluation result and auxiliary information corresponding to the target product, and the auxiliary information may include the relevant text description or picture display of the advantages / features of the target product. Through this display method, not only can the user intuitively and clearly understand the quality of the target product according to the display position of the indicator, but also can further understand the characteristics of the target product through the auxiliary information, thus stimulating the user's willingness to buy.

[0067] Fig.11is a schematic structural diagram of a device provided by an exemplary embodiment. Fig.11 At the hardware level, the device includes a processor 1102, an internal bus 1104, a network interface 1106, a memory 1108, and a non-volatile memory 1110, and may also include hardware required for other functions. One or more embodiments of this specification may be implemented based on software, such as the processor 1102 reading the corresponding computer program from the non-volatile memory 1110 to the memory 1108 and then running it. Of course, in addition to the software implementation, one or more embodiments of this specification do not exclude other implementations, such as logic devices or a combination of software and hardware, etc., that is, the execution subject of the following processing flow is not limited to each logic unit, but can also be hardware or logic devices.

[0068] Please refer to Fig.12 The device for processing product evaluation information can be applied to Fig.11 The device shown in the figure can realize the technical solution of this specification. The device for processing product evaluation information can include: a determination unit 1201 and an evaluation result display unit 1202.

[0069] The determining unit 1201 is configured to determine a target product.

[0070] The evaluation result display unit 1202 is configured to display the evaluation results corresponding to the target product, and the evaluation results include indicator marks corresponding to multiple evaluation dimensions, and the display position of each indicator mark is related to the historical evaluation of the target product in the corresponding evaluation dimension; wherein the historical evaluation of the target product in the corresponding evaluation dimension is generated by processing the historical evaluation information of the target product.

[0071] Optionally, the target commodity belongs to a target category; and the device further includes:

[0072] The benchmark identification information display unit 1203 is configured to display benchmark identification information corresponding to multiple evaluation dimensions, wherein the benchmark identification information is related to the historical evaluation of similar products in the target category on the corresponding evaluation dimensions; the historical evaluation of similar products in the target category on the corresponding evaluation dimensions is generated by processing the historical evaluation information of similar products in the target category; wherein, for each evaluation dimension, the relative relationship between the indicator and the display position of the benchmark identification information is used to indicate: on the corresponding evaluation dimension, the high and low relationship between the historical evaluation of the target product and the historical evaluation of similar products in the target category.

[0073] Optionally, the benchmark indication information includes: a benchmark line extending along a preset direction; if the historical evaluation of the target product in the corresponding evaluation dimension is higher than the historical evaluation of similar products in the target category, the indicator mark is displayed on one side of the benchmark line; if the historical evaluation of the target product in the corresponding evaluation dimension is lower than the historical evaluation of similar products in the target category, the indicator mark is displayed on the other side of the benchmark line.

[0074] Optionally, the interval between the indicator mark and the baseline is positively correlated to the evaluation difference, and the evaluation difference is the absolute value of the difference between the historical evaluation of the target product in the corresponding evaluation dimension and the historical evaluation of similar products in the target category; wherein the indicator marks of each evaluation dimension are connected in sequence to form an evaluation curve of the target product.

[0075] Optionally, the evaluation result also includes: primitive labels and / or emotional patterns that match the historical evaluation levels of the target product in each evaluation dimension; the evaluation result display unit 1202 is specifically used to: for each evaluation dimension, associate the primitive label and / or emotional pattern with the indicator under the evaluation dimension for display; wherein the primitive label includes: historical evaluation information of the target product, and / or keywords extracted from the historical evaluation information; if the historical evaluation of the target product in the corresponding evaluation dimension is higher than the historical evaluation of similar products in the target category, the primitive label corresponds to a positive evaluation; if the historical evaluation of the target product in the corresponding evaluation dimension is lower than the historical evaluation of similar products in the target category, the primitive label corresponds to a negative evaluation; and / or, the emotional pattern includes: a pattern used to represent the user's evaluation emotion; if the historical evaluation of the target product in the corresponding evaluation dimension is higher than the historical evaluation of similar products in the target category, the user's evaluation emotion is a positive emotion; if the historical evaluation of the target product in the corresponding evaluation dimension is lower than the historical evaluation of similar products in the target category, the user's evaluation emotion is a negative emotion.

[0076] Optionally, the evaluation result display unit 1202 is specifically used to: for each evaluation dimension, if the historical evaluation of the target product in the corresponding evaluation dimension is higher than the historical evaluation of similar products in the target category, then the indicator mark, primitive label and / or emotional pattern under the evaluation dimension is displayed with a first display attribute; and, if the historical evaluation of the target product in the corresponding evaluation dimension is lower than the historical evaluation of similar products in the target category, then the indicator mark, primitive label and / or emotional pattern under the evaluation dimension is displayed with a second display attribute.

[0077] Optionally, the evaluation result also includes: dimensional description information for indicating each evaluation dimension; the evaluation result display unit 1202 is specifically used to: associate each indicator with the corresponding dimensional description information for display; wherein the source of the evaluation dimension includes at least one of the following: the top n dimensions with the highest attention counted from the historical evaluation information of similar products in the target category, where n is a positive integer; the top m dimensions with the highest attention counted from the historical evaluation information of the target product, where m is a positive integer; personalized attention dimensions determined based on the attribute characteristics and / or behavioral characteristics of the current user.

[0078] Optionally, the evaluation result display unit 1202 is specifically used to: when the multiple evaluation dimensions respectively correspond to multiple services provided by the target product to the user, arrange and display the indication marks and dimension description information corresponding to the multiple evaluation dimensions in the evaluation results in sequence according to the time sequence between the services provided by the target product to the user.

[0079] Optionally, the classification basis of the target category includes at least one of the following: product level, service scenario.

[0080] Based on the same concept as the above method, this specification also provides an electronic device, including: a processor; a memory for storing processor executable instructions; wherein the processor implements the steps of the method described in any of the above embodiments by running the executable instructions.

[0081] Based on the same concept as the above method, this specification also provides a computer-readable storage medium on which computer instructions are stored. When the instructions are executed by a processor, the steps of the method described in any of the above embodiments are implemented.

[0082] Based on the same concept as the above method, this specification also provides a computer program product, including a computer program / instruction, which implements the steps of the method described in any of the above embodiments when executed by a processor.

Claims

1. A method for processing product evaluation information, characterized in that: include: Determine target products; The evaluation results corresponding to the target product are displayed, wherein the evaluation results include indicator marks corresponding to multiple evaluation dimensions, and the display position of each indicator mark is related to the level of historical evaluation of the target product in the corresponding evaluation dimension; wherein the historical evaluation of the target product in the corresponding evaluation dimension is generated by processing the historical evaluation information of the target product.

2. The method according to claim 1, characterized in that The target product belongs to a target category; The method further includes: displaying benchmark marking information corresponding to the plurality of evaluation dimensions, the benchmark marking information being related to the historical evaluation of the same type of goods in the target category in the corresponding evaluation dimensions; the historical evaluation of the same type of goods in the target category in the corresponding evaluation dimensions being generated by processing the historical evaluation information of the same type of goods in the target category; Among them, for each evaluation dimension, the relative relationship between the display positions of the indicator and the reference identification information is used to indicate: in the corresponding evaluation dimension, the high and low relationship between the historical evaluation of the target product and the historical evaluation of similar products in the target category.

3. The method according to claim 2, characterized in that The reference marking information includes: a reference line extending along a preset direction; If the historical evaluation of the target product in the corresponding evaluation dimension is higher than the historical evaluation of similar products in the target category, the indicator mark is displayed on one side of the baseline; If the historical evaluation of the target product in the corresponding evaluation dimension is lower than the historical evaluation of similar products in the target category, the indicator mark is displayed on the other side of the baseline.

4. The method according to claim 3, characterized in that The interval between the indicator mark and the baseline is positively correlated to the evaluation difference, which is the absolute value of the difference between the historical evaluation of the target product in the corresponding evaluation dimension and the historical evaluation of similar products in the target category; The indicator marks of each evaluation dimension are connected in sequence to form an evaluation curve of the target product.

5. The method according to claim 2, characterized in that: The evaluation result also includes: primitive labels and / or emotional patterns that match the historical evaluation levels of the target product in each evaluation dimension; the display of the evaluation result corresponding to the target product includes: for each evaluation dimension, displaying the primitive label and / or emotional pattern in association with the indicator under the evaluation dimension; The primitive tag includes: historical evaluation information of the target product, and / or keywords extracted from the historical evaluation information; If the historical evaluation of the target product in the corresponding evaluation dimension is higher than the historical evaluation of similar products in the target category, the primitive label corresponds to a positive evaluation; if the historical evaluation of the target product in the corresponding evaluation dimension is lower than the historical evaluation of similar products in the target category, the primitive label corresponds to a negative evaluation; and / or, The emotional patterns include: patterns used to represent user evaluation emotions; If the historical evaluation of the target product in the corresponding evaluation dimension is higher than the historical evaluation of similar products in the target category, the user evaluation emotion is positive; if the historical evaluation of the target product in the corresponding evaluation dimension is lower than the historical evaluation of similar products in the target category, the user evaluation emotion is negative.

6. The method according to claim 5, characterized in that The displaying of the evaluation result corresponding to the target product includes: For each evaluation dimension, if the historical evaluation of the target product in the corresponding evaluation dimension is higher than the historical evaluation of similar products in the target category, then the indicator mark, primitive label and / or emotional pattern under the evaluation dimension is displayed with the first display attribute, and, If the historical evaluation of the target product in the corresponding evaluation dimension is lower than the historical evaluation of similar products in the target category, the indicator mark, primitive label and / or emotional pattern under the evaluation dimension is displayed with the second display attribute.

7. The method according to claim 1, characterized in that The evaluation result further includes: dimension description information for indicating each evaluation dimension; the displaying of the evaluation result corresponding to the target product includes: displaying each indicator mark in association with the corresponding dimension description information; The source of the evaluation dimension includes at least one of the following: The top n dimensions with the highest attention calculated from the historical evaluation information of similar products in the target category, where n is a positive integer; The top m dimensions with the highest attention counted from the historical evaluation information of the target product, where m is a positive integer; The personalized attention dimension is determined based on the attribute characteristics and / or behavioral characteristics of the current user.

8. The method according to claim 7, characterized in that The displaying of the evaluation result corresponding to the target product includes: In the case where the multiple evaluation dimensions respectively correspond to multiple services provided by the target product to the user, the indication identifiers and dimension description information corresponding to the multiple evaluation dimensions in the evaluation results are arranged and displayed in sequence according to the chronological order of the services provided by the target product to the user.

9. The method according to claim 1, characterized in that: The classification basis of the target category includes at least one of the following: product level and service scenario.

10. A computer program product, characterized in that The method comprises a computer program / instruction, which, when executed by a processor, implements the steps of the method according to any one of claims 1 to 9.

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