A User Experience Evaluation Method and System Based on Multiple Databases

Abstract

The present invention relates to the technical field of user experience evaluation, and specifically discloses a user experience evaluation method and system based on multiple databases. The present invention establishes access links to multiple target databases corresponding to multiple online shopping malls; classifies and analyzes the multiple target databases to determine the user's frequent purchase categories; according to the frequent purchase categories, selects multiple corresponding target frequently purchased goods from the multiple target databases; obtains user evaluation information of the user for the multiple target frequently purchased goods, and obtains service record data of the multiple target frequently purchased goods; conducts an experience evaluation comparison of the multiple online shopping malls. It can classify and analyze multiple target databases to determine the user's frequent purchase categories, and then select multiple corresponding target frequently purchased goods, obtain multiple service record data and multiple service record data, and conduct an automatic experience evaluation comparison of multiple online shopping malls, so as to provide more objective and accurate comparison suggestions for the user's online shopping.

Description

Technical Field

[0001] The present invention belongs to the technical field of user experience evaluation, and particularly relates to a user experience evaluation method and system based on multiple databases. Background Art

[0002] Different online shopping malls provide online shopping services of different qualities according to the locations of their warehouses, logistics services, and product qualities. In the existing technology, multiple online shopping malls cannot be effectively evaluated and compared, and the databases of multiple online shopping malls cannot be obtained for subjective user experience evaluation. Therefore, accurate comparison suggestions cannot be provided for users' online shopping. Summary of the Invention

[0003] The purpose of the embodiments of the present invention is to provide a user experience evaluation method and system based on multiple databases, aiming to solve the problems raised in the background art.

[0004] To achieve the above purpose, the embodiments of the present invention provide the following technical solutions:

[0005] A user experience evaluation method based on multiple databases, the method specifically includes the following steps:

[0006] Obtain the evaluation access right of the user and establish access links to multiple target databases corresponding to multiple online shopping malls;

[0007] Classify and analyze the multiple target databases to determine the user's frequently purchased categories;

[0008] According to the frequently purchased categories, select multiple corresponding target frequently purchased products from the multiple target databases;

[0009] Obtain the user evaluation information of the user for the multiple target frequently purchased products, and obtain the service record data of the multiple target frequently purchased products;

[0010] According to the multiple user evaluation information and the multiple service record data, conduct experience evaluation and comparison of the multiple online shopping malls.

[0011] As a further limitation of the technical solution of the embodiments of the present invention, the obtaining the evaluation access right of the user and establishing access links to multiple target databases corresponding to multiple online shopping malls specifically includes the following steps:

[0012] Send an evaluation access application to the user;

[0013] After the user agrees to the evaluation access application, obtain the evaluation access right of the user;

[0014] Determine multiple online shopping malls according to the evaluation access right;

[0015] Establish access links to multiple target databases corresponding to multiple online shopping malls.

[0016] As a further limitation of the technical solution of the embodiment of the present invention, the classifying and analyzing the multiple target databases to determine the user's frequently purchased categories specifically includes the following steps:

[0017] Integrate the multiple target databases to construct a comprehensive database of multiple online shopping malls;

[0018] Classify and analyze the comprehensive database, and record the classification information;

[0019] Based on the classification information, perform frequency recording to generate classification frequency information;

[0020] Compare and analyze the classification frequency information to determine the user's frequently purchased categories.

[0021] As a further limitation of the technical solution of the embodiment of the present invention, the selecting multiple corresponding target frequently purchased goods from the multiple target databases according to the frequently purchased categories specifically includes the following steps:

[0022] According to the frequently purchased categories, respectively perform data screening on the multiple target databases to obtain multiple category screening data;

[0023] According to a preset selection strategy, perform selection and comparison on the multiple category screening data to generate a selection and comparison result;

[0024] According to the selection and comparison result, respectively select the corresponding target frequently purchased goods from the multiple category screening data.

[0025] As a further limitation of the technical solution of the embodiment of the present invention, the obtaining user evaluation information for the multiple target frequently purchased goods and obtaining service record data for the multiple target frequently purchased goods specifically includes the following steps:

[0026] Extract target record data corresponding to the multiple target frequently purchased goods from the multiple category screening data;

[0027] Respectively extract user evaluation information for the multiple target frequently purchased goods from the multiple target record data;

[0028] Respectively extract service record data for the multiple target frequently purchased goods from the multiple target record data.

[0029] As a further limitation of the technical solution of the embodiment of the present invention, the step of performing an experience evaluation and comparison on multiple online shopping malls according to the multiple user evaluation information and the multiple service record data specifically includes the following steps:

[0030] Perform an experience comparison on the multiple user evaluation information to generate first comparison information;

[0031] Perform an evaluation comparison on the multiple service record data to generate second comparison information;

[0032] Integrate the first comparison information and the second comparison information, perform an experience evaluation and comparison analysis on the multiple online shopping malls, and generate an experience evaluation result.

[0033] A user experience evaluation system based on multiple databases, the system includes an access link establishment unit, a frequently purchased category determination unit, a target commodity selection unit, an information data acquisition unit, and an experience evaluation comparison unit, wherein:

[0034] The access link establishment unit is used to obtain the evaluation access permission of the user and establish access links to multiple target databases corresponding to multiple online shopping malls;

[0035] The frequently purchased category determination unit is used to perform a classification analysis on the multiple target databases to determine the frequently purchased categories of the user;

[0036] The target commodity selection unit is used to select multiple corresponding target frequently purchased commodities from the multiple target databases according to the frequently purchased categories;

[0037] The information data acquisition unit is used to obtain the user evaluation information of the user for the multiple target frequently purchased commodities, and obtain the service record data of the multiple target frequently purchased commodities;

[0038] The experience evaluation comparison unit is used to perform an experience evaluation and comparison on the multiple online shopping malls according to the multiple user evaluation information and the multiple service record data.

[0039] As a further limitation of the technical solution of the embodiment of the present invention, the access link establishment unit specifically includes:

[0040] An application sending module, used to send an evaluation access application to the user;

[0041] A permission acquisition module, used to obtain the evaluation access permission of the user after the user agrees to the evaluation access application;

[0042] A mall determination module, used to determine multiple online shopping malls according to the evaluation access permission;

[0043] A link establishment module for establishing access links to multiple target databases corresponding to multiple online shopping malls.

[0044] As a further limitation of the technical solution of the embodiment of the present invention, the frequently purchased category determination unit specifically includes:

[0045] A database processing module for integrating the multiple target databases to construct a comprehensive database of multiple online shopping malls;

[0046] A classification analysis module for classifying and analyzing the comprehensive database and recording classification information;

[0047] A frequency recording module for recording frequencies based on the classification information to generate classification frequency information;

[0048] A comparison and analysis module for comparing and analyzing the classification frequency information to determine the frequently purchased categories of users.

[0049] As a further limitation of the technical solution of the embodiment of the present invention, the experience evaluation and comparison unit specifically includes:

[0050] An experience comparison module for comparing the experience of multiple pieces of user evaluation information to generate first comparison information;

[0051] An evaluation comparison module for evaluating and comparing multiple pieces of service record data to generate second comparison information;

[0052] A result generation module for comprehensively combining the first comparison information and the second comparison information to conduct an experience evaluation and comparison analysis of multiple online shopping malls and generate an experience evaluation result.

[0053] Compared with the prior art, the beneficial effects of the present invention are:

[0054] In the embodiment of the present invention, by establishing access links to multiple target databases corresponding to multiple online shopping malls; classifying and analyzing the multiple target databases to determine the frequently purchased categories of users; according to the frequently purchased categories, selecting multiple corresponding target frequently purchased goods from the multiple target databases; obtaining user evaluation information of the user for the multiple target frequently purchased goods and obtaining service record data of the multiple target frequently purchased goods; conducting an experience evaluation and comparison of multiple online shopping malls. It is possible to classify and analyze multiple target databases to determine the frequently purchased categories of users, and then select multiple corresponding target frequently purchased goods, obtain multiple service record data and multiple service record data, and conduct an automatic experience evaluation and comparison of multiple online shopping malls, so as to provide more objective and accurate comparison suggestions for users' online shopping. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the accompanying drawings required for use in the embodiments or the description of the prior art. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention.

[0056] Figure 1 It shows the flowchart of the method provided by the embodiment of the present invention;

[0057] Figure 2 It shows the flowchart of establishing multiple access links in the method provided by the embodiment of the present invention;

[0058] Figure 3 It shows the flowchart of the classification and analysis of the target database in the method provided by the embodiment of the present invention;

[0059] Figure 4 It shows the flowchart of selecting multiple target frequently purchased products in the method provided by the embodiment of the present invention;

[0060] Figure 5 It shows the flowchart of obtaining the evaluation information service record in the method provided by the embodiment of the present invention;

[0061] Figure 6 It shows the flowchart of the online shopping mall experience evaluation in the method provided by the embodiment of the present invention;

[0062] Figure 7 It shows the application architecture diagram of the system provided by the embodiment of the present invention;

[0063] Figure 8 It shows the structural block diagram of the access link establishment unit in the system provided by the embodiment of the present invention;

[0064] Figure 9 It shows the structural block diagram of the frequently purchased category determination unit in the system provided by the embodiment of the present invention;

[0065] Figure 10 It shows the structural block diagram of the experience evaluation and comparison unit in the system provided by the embodiment of the present invention. Detailed implementation manners

[0066] In order to make the purpose, technical solutions and advantages of the present invention clearer and more understandable, the following further details the present invention in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0067] It can be understood that in the existing technology, it is impossible to effectively evaluate and compare multiple online shopping malls, and it is impossible to obtain the databases of multiple online shopping malls for subjective user experience evaluation. Therefore, it is impossible to provide accurate comparison suggestions for users' online shopping.

[0068] To solve the above problems, the embodiments of the present invention establish access links to multiple target databases corresponding to multiple online shopping malls; classify and analyze the multiple target databases to determine the user's frequent purchase categories; select multiple corresponding target frequently purchased products from the multiple target databases according to the frequent purchase categories; obtain user evaluation information of the user for the multiple target frequently purchased products, and obtain service record data of the multiple target frequently purchased products; perform experience evaluation and comparison on the multiple online shopping malls. It is possible to classify and analyze the multiple target databases to determine the user's frequent purchase categories, and then select multiple corresponding target frequently purchased products, obtain multiple service record data and multiple service record data, perform automatic experience evaluation and comparison on the multiple online shopping malls, so as to provide more objective and accurate comparison suggestions for the user's online shopping.

[0069] Figure 1 The flowchart of the method provided by the embodiments of the present invention is shown.

[0070] Specifically, in a preferred embodiment provided by the present invention, a user experience evaluation method based on multiple databases, the method specifically includes the following steps:

[0071] Step S101, obtain the user's evaluation access permission, and establish access links to multiple target databases corresponding to multiple online shopping malls.

[0072] In the embodiments of the present invention, when there is a need for user experience evaluation, a evaluation access application is generated and sent to the user's mobile terminal. After the user receives the evaluation access application through the mobile terminal, the user can view the content of the evaluation access application, and after having the intention to participate in the experience evaluation, the user can choose to agree to the evaluation access application, and then can obtain the user's evaluation access permission. According to the evaluation access permission, determine multiple online shopping malls where the user shops online through the mobile terminal, and there is a target database in the user's mobile terminal that records the shopping of the multiple online shopping malls, and establish access links to multiple target databases corresponding to the multiple online shopping malls.

[0073] Specifically, Figure 2 The flowchart of establishing multiple access links in the method provided by the embodiments of the present invention is shown.

[0074] Among them, in the preferred embodiment provided by the present invention, the step of obtaining the user's evaluation access permission and establishing access links to multiple target databases corresponding to multiple online shopping malls specifically includes the following steps:

[0075] Step S1011, send a evaluation access application to the user.

[0076] Step S1012: After the user agrees to the evaluation access application, obtain the user's evaluation access permission.

[0077] Step S1013: Determine multiple online shopping malls according to the evaluation access permission.

[0078] Step S1014: Establish access links to multiple target databases corresponding to the multiple online shopping malls.

[0079] Furthermore, the user experience evaluation method based on multiple databases further includes the following steps:

[0080] Step S102: Classify and analyze the multiple target databases to determine the user's frequent purchase categories.

[0081] In the embodiment of the present invention, the data in the multiple target databases are integrated to construct a comprehensive database that stores the shopping record data of multiple online shopping malls at the same time. By classifying and analyzing the shopping goods in the comprehensive database, the classification information is recorded, and the corresponding shopping frequencies are recorded according to different classification categories in the classification information to generate classification frequency information. By comparing the classification frequency information, the classification category with the highest shopping frequency is determined as the user's frequent purchase category. For example, the user's frequent purchase category is home appliances.

[0082] Specifically, Figure 3 FIG. shows the flowchart of the classification and analysis of the target database in the method provided by the embodiment of the present invention.

[0083] Among them, in the preferred embodiment provided by the present invention, the step of classifying and analyzing the multiple target databases to determine the user's frequent purchase category specifically includes the following steps:

[0084] Step S1021: Integrate the multiple target databases to construct a comprehensive database of multiple online shopping malls.

[0085] Step S1022: Classify and analyze the comprehensive database and record the classification information.

[0086] Step S1023: Based on the classification information, record the frequencies to generate classification frequency information.

[0087] Step S1024: Compare and analyze the classification frequency information to determine the user's frequent purchase category.

[0088] Furthermore, the user experience evaluation method based on multiple databases further includes the following steps:

[0089] Step S103: Select multiple corresponding target frequently purchased goods from the multiple target databases according to the frequent purchase category.

[0090] In an embodiment of the present invention, according to the frequently purchased categories, data screening is respectively performed on multiple target databases, and category screening data that conforms to the frequently purchased categories is screened out from the multiple target databases. By performing selection analysis on the multiple category screening data, the commodities in the multiple category screening data are compared, and target frequently purchased commodities corresponding to multiple online shopping malls are respectively selected from the multiple category screening data. For example, when the frequently purchased category of the user is home appliances, the multiple target frequently purchased commodities may be televisions.

[0091] It can be understood that when performing selection analysis on the multiple category screening data and comparing the commodities in the multiple category screening data, if the shopping data of televisions exists in all the multiple category screening data, it can be determined that the multiple target frequently purchased commodities may be televisions, and when the televisions of model A exist in all the multiple category screening data, the multiple target frequently purchased commodities can be determined as the televisions of model A.

[0092] Specifically, Figure 4 The flowchart shows the selection of multiple target frequently purchased commodities in the method provided by the embodiment of the present invention.

[0093] Among them, in the preferred embodiment provided by the present invention, the selection of multiple corresponding target frequently purchased commodities from the multiple target databases according to the frequently purchased categories specifically includes the following steps:

[0094] Step S1031: According to the frequently purchased categories, data screening is respectively performed on the multiple target databases to obtain multiple category screening data.

[0095] Step S1032: According to a preset selection strategy, selection comparison is performed on the multiple category screening data to generate a selection comparison result.

[0096] Step S1033: According to the selection comparison result, corresponding target frequently purchased commodities are respectively selected from the multiple category screening data.

[0097] Furthermore, the user experience evaluation method based on multiple databases further includes the following steps:

[0098] Step S104: Obtain the user evaluation information of the user for the multiple target frequently purchased commodities, and obtain the service record data of the multiple target frequently purchased commodities.

[0099] In the embodiments of the present invention, from the data screened from multiple categories, the target record data corresponding to the target frequently purchased goods is extracted. Then, from the multiple target record data, the user evaluation information of the user for the multiple target frequently purchased goods is respectively extracted, and from the multiple target record data, the service record data for the multiple target frequently purchased goods is respectively extracted, where: the user evaluation information is the record information of the user's active shopping evaluation; the service record data is the data recording shopping time, receiving time, receiving address, shipping address, etc.

[0100] Specifically, Figure 5 The flowchart of obtaining the evaluation information service record in the method provided by the embodiments of the present invention is shown.

[0101] Among them, in the preferred embodiment provided by the present invention, the steps of obtaining the user evaluation information of the user for the multiple target frequently purchased goods and obtaining the service record data of the multiple target frequently purchased goods specifically include the following steps:

[0102] Step S1041: Extract the target record data corresponding to the multiple target frequently purchased goods from the multiple category screening data.

[0103] Step S1042: Respectively extract the user evaluation information of the user for the multiple target frequently purchased goods from the multiple target record data.

[0104] Step S1043: Respectively extract the service record data of the multiple target frequently purchased goods from the multiple target record data.

[0105] Furthermore, the user experience evaluation method based on multiple databases further includes the following steps:

[0106] Step S105: Perform experience evaluation and comparison on the multiple online shopping malls according to the multiple user evaluation information and the multiple service record data.

[0107] In the embodiments of the present invention, the experience scores and experience keywords in the user evaluation information are identified, experience comparison is performed according to the experience scores and experience keywords in different user evaluation information to generate the first comparison information, and according to different service record data, the delivery rates of different online shopping malls for the target frequently purchased goods are calculated, and evaluation comparison is performed according to different delivery rates to generate the second comparison information. The first comparison information and the second comparison information are comprehensively compared and analyzed, and according to the comprehensive comparison and analysis results, the experience evaluation of the multiple online shopping malls is arranged to generate the experience evaluation result.

[0108] It is understandable that the calculation formula for the delivery rate is: Z = L / S, where Z is the delivery rate, L is the receiving distance (the navigation distance between the delivery address and the receiving address), and S is the receiving duration (the duration between the shopping time and the receiving time).

[0109] Specifically, Figure 6 The flowchart of the online shopping mall experience evaluation in the method provided by the embodiment of the present invention is shown.

[0110] Among them, in the preferred embodiment provided by the present invention, the experience evaluation and comparison of multiple online shopping malls according to the multiple user evaluation information and multiple service record data specifically include the following steps:

[0111] Step S1051, perform an experience comparison on the multiple user evaluation information to generate first comparison information.

[0112] Step S1052, perform an evaluation comparison on the multiple service record data to generate second comparison information.

[0113] Step S1053, comprehensively analyze the first comparison information and the second comparison information, and perform an experience evaluation comparison and analysis on the multiple online shopping malls to generate an experience evaluation result.

[0114] Furthermore, Figure 7 The application architecture diagram of the system provided by the embodiment of the present invention is shown.

[0115] Among them, in another preferred embodiment provided by the present invention, a user experience evaluation system based on multiple databases includes:

[0116] An access link establishment unit 101, configured to obtain the evaluation access permission of the user and establish access links to multiple target databases corresponding to multiple online shopping malls.

[0117] In the embodiment of the present invention, when there is a need for user experience evaluation, the access link establishment unit 101 generates an evaluation access application and sends the evaluation access application to the user's mobile terminal. After the user receives the evaluation access application through the mobile terminal, the user can view the content of the evaluation access application, and after having the intention to participate in the experience evaluation, the user can choose to agree to the evaluation access application. At this time, the access link establishment unit 101 can obtain the evaluation access permission of the user, determine multiple online shopping malls for the user to shop online through the mobile terminal according to the evaluation access permission, and there are target databases in the user's mobile terminal for recording the shopping of multiple online shopping malls, and establish access links to multiple target databases corresponding to multiple online shopping malls.

[0118] Specifically, Figure 8The block diagram of the access link establishment unit 101 in the system provided by the embodiment of the present invention is shown.

[0119] Among them, in the preferred embodiment provided by the present invention, the access link establishment unit 101 specifically includes:

[0120] An application sending module 1011, configured to send an evaluation access application to a user.

[0121] A permission obtaining module 1012, configured to obtain the user's evaluation access permission after the user agrees to the evaluation access application.

[0122] A mall determination module 1013, configured to determine a plurality of online shopping malls according to the evaluation access permission.

[0123] A link establishment module 1014, configured to establish access links to a plurality of target databases corresponding to the plurality of online shopping malls.

[0124] Further, the user experience evaluation system based on multiple databases further includes:

[0125] A frequently purchased category determination unit 102, configured to perform classification analysis on the plurality of target databases to determine the user's frequently purchased category.

[0126] In the embodiment of the present invention, the frequently purchased category determination unit 102 integrates the data in the plurality of target databases to construct a comprehensive database that stores the shopping record data of a plurality of online shopping malls at the same time, and performs classification analysis on the shopping goods in the comprehensive database, records the classification information, and records the corresponding shopping frequencies according to different classification categories in the classification information, generates classification frequency information, and determines the classification category with the highest shopping frequency as the user's frequently purchased category by comparing the classification frequency information. For example, the user's frequently purchased category is home appliances.

[0127] Specifically, Figure 9 The block diagram of the frequently purchased category determination unit 102 in the system provided by the embodiment of the present invention is shown.

[0128] Among them, in the preferred embodiment provided by the present invention, the frequently purchased category determination unit 102 specifically includes:

[0129] A database processing module 1021, configured to synthesize the plurality of target databases to construct a comprehensive database of a plurality of online shopping malls.

[0130] A classification analysis module 1022, configured to perform classification analysis on the comprehensive database and record the classification information.

[0131] The frequency recording module 1023 is configured to perform frequency recording based on the classification information to generate classification frequency information.

[0132] The comparison and analysis module 1024 is configured to perform comparison and analysis on the classification frequency information to determine the user's frequently purchased categories.

[0133] Furthermore, the user experience evaluation system based on multiple databases further includes:

[0134] The target commodity selection unit 103 is configured to select multiple corresponding target frequently purchased commodities from multiple target databases according to the frequently purchased categories.

[0135] In an embodiment of the present invention, the target commodity selection unit 103 performs corresponding data screening on multiple target databases according to the frequently purchased categories, screens out category screening data that conforms to the frequently purchased categories from multiple target databases, performs selection and analysis on the multiple category screening data, compares the commodities in the multiple category screening data, and respectively selects target frequently purchased commodities corresponding to multiple online shopping malls from the multiple category screening data. For example, when the user's frequently purchased category is home appliances, the multiple target frequently purchased commodities may be televisions.

[0136] The information data acquisition unit 104 is configured to acquire the user evaluation information of the user for multiple target frequently purchased commodities and acquire the service record data of multiple target frequently purchased commodities.

[0137] In an embodiment of the present invention, the information data acquisition unit 104 extracts the target record data of the corresponding target frequently purchased commodities from multiple category screening data, then extracts the user evaluation information of the user for multiple target frequently purchased commodities from the multiple target record data, and extracts the service record data of multiple target frequently purchased commodities from the multiple target record data respectively. Among them, the user evaluation information is the record information of the user's active shopping evaluation; the service record data is the data for recording shopping time, receipt time, receipt address, delivery address, etc.

[0138] The experience evaluation comparison unit 105 is configured to perform experience evaluation and comparison on multiple online shopping malls according to the multiple user evaluation information and the multiple service record data.

[0139] In an embodiment of the present invention, the experience evaluation and comparison unit 105 identifies the experience scores and experience keywords in the user evaluation information, conducts experience comparison according to the experience scores and experience keywords in different user evaluation information to generate first comparison information, calculates the delivery rates of target frequently purchased goods for different online shopping malls according to different service record data, and then conducts evaluation and comparison according to different delivery rates to generate second comparison information. The first comparison information and the second comparison information are comprehensively compared and analyzed, and experience evaluation ranking is performed on multiple online shopping malls according to the comprehensive comparison and analysis results to generate experience evaluation results.

[0140] Specifically, Figure 10 FIG. shows a structural block diagram of the experience evaluation and comparison unit 105 in the system provided by the embodiment of the present invention.

[0141] Among them, in the preferred embodiment provided by the present invention, the experience evaluation and comparison unit 105 specifically includes:

[0142] An experience comparison module 1051, configured to conduct experience comparison on multiple pieces of the user evaluation information to generate first comparison information.

[0143] An evaluation comparison module 1052, configured to conduct evaluation and comparison on multiple pieces of the service record data to generate second comparison information.

[0144] A result generation module 1053, configured to comprehensively analyze the first comparison information and the second comparison information, conduct experience evaluation and comparison analysis on multiple online shopping malls, and generate experience evaluation results.

[0145] It should be understood that although the steps in the flowcharts of the embodiments of the present invention are shown in sequence according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in each embodiment may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or sub-steps or stages of other steps.

[0146] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the various embodiments provided in this application can include non-volatile and / or volatile memories. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0147] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

[0148] The above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A user experience evaluation method based on multiple databases, characterized in that The method specifically includes the following steps: Obtain the evaluation access right of the user and establish access links to multiple target databases corresponding to multiple online shopping malls; Classify and analyze multiple said target databases to determine the user's frequent purchase categories; According to the frequent purchase categories, select multiple corresponding target frequently purchased goods from multiple said target databases; Obtain the user evaluation information of the user for multiple said target frequently purchased goods, and obtain the service record data of multiple said target frequently purchased goods; According to multiple said user evaluation information and multiple said service record data, conduct experience evaluation and comparison of multiple said online shopping malls; The step of classifying and analyzing multiple said target databases to determine the user's frequent purchase categories specifically includes the following steps: Integrate multiple said target databases to construct a comprehensive database of multiple online shopping malls; Classify and analyze the comprehensive database and record the classification information; Based on the classification information, conduct frequency recording to generate classification frequency information; Conduct comparative analysis on the classification frequency information to determine the user's frequent purchase categories; The step of selecting multiple corresponding target frequently purchased goods from multiple said target databases according to the frequent purchase categories specifically includes the following steps: According to the frequent purchase categories, respectively perform data screening on multiple said target databases to obtain multiple category screening data; According to a preset selection strategy, conduct selection and comparison on multiple said category screening data to generate a selection and comparison result; According to the selection and comparison result, respectively select the corresponding target frequently purchased goods from multiple said category screening data; The step of obtaining the user evaluation information of the user for multiple said target frequently purchased goods and obtaining the service record data of multiple said target frequently purchased goods specifically includes the following steps: Extract the target record data corresponding to multiple said target frequently purchased goods from multiple said category screening data; Respectively extract the user evaluation information of the user for multiple said target frequently purchased goods from multiple said target record data; Respectively extract the service record data of multiple said target frequently purchased goods from multiple said target record data; The step of conducting experience evaluation and comparison of multiple said online shopping malls according to multiple said user evaluation information and multiple said service record data specifically includes the following steps: Conduct experience comparison on multiple said user evaluation information to generate first comparison information; Conduct evaluation comparison on multiple said service record data to generate second comparison information; Integrate the first comparison information and the second comparison information, conduct experience evaluation and comparison analysis on multiple said online shopping malls, and generate an experience evaluation result.

2. The user experience evaluation method based on multiple databases according to claim 1, wherein The step of obtaining the evaluation access right of the user and establishing access links to multiple target databases corresponding to multiple online shopping malls specifically includes the following steps: Send an evaluation access application to the user; After the user agrees to the evaluation access application, obtain the evaluation access right of the user; According to the evaluation access right, determine multiple online shopping malls; Establish access links to multiple target databases corresponding to multiple said online shopping malls.

3. A user experience evaluation system based on multiple databases, characterized in that, The system includes an access link establishment unit, a frequently purchased category determination unit, a target product selection unit, an information data acquisition unit, and an experience evaluation and comparison unit, where: The access link establishment unit is used to obtain the evaluation access permission of the user and establish access links to multiple target databases corresponding to multiple online shopping malls; The frequently purchased category determination unit is used to classify and analyze the multiple target databases to determine the frequently purchased categories of the user; The target product selection unit is used to select multiple corresponding target frequently purchased products from the multiple target databases according to the frequently purchased categories; The information data acquisition unit is used to obtain the user evaluation information of the user for the multiple target frequently purchased products and obtain the service record data of the multiple target frequently purchased products; The experience evaluation and comparison unit is used to conduct experience evaluation and comparison of the multiple online shopping malls according to the multiple user evaluation information and the multiple service record data; The frequently purchased category determination unit specifically includes: The database processing module is used to synthesize the multiple target databases to construct a comprehensive database of multiple online shopping malls; The classification and analysis module is used to classify and analyze the comprehensive database and record the classification information; The frequency recording module is used to perform frequency recording based on the classification information to generate classification frequency information; The comparison and analysis module is used to compare and analyze the classification frequency information to determine the frequently purchased categories of the user; The target product selection unit specifically includes: The category screening data acquisition module is used to perform data screening on the multiple target databases respectively according to the frequently purchased categories to obtain multiple category screening data; The selection comparison result generation module is used to perform selection comparison on the multiple category screening data according to a preset selection strategy to generate a selection comparison result; The target frequently purchased product selection module is used to select the corresponding target frequently purchased products from the multiple category screening data according to the selection comparison result; The information data acquisition unit specifically includes: The target record data acquisition module is used to extract the target record data corresponding to the multiple target frequently purchased products from the multiple category screening data; The user evaluation information acquisition module is used to extract the user evaluation information of the user for the multiple target frequently purchased products from the multiple target record data respectively; The service record data acquisition module is used to extract the service record data of the multiple target frequently purchased products from the multiple target record data respectively; The experience evaluation and comparison unit specifically includes: The experience comparison module is used to perform experience comparison on the multiple user evaluation information to generate first comparison information; The evaluation comparison module is used to perform evaluation comparison on the multiple service record data to generate second comparison information; The result generation module is used to comprehensively analyze the first comparison information and the second comparison information to conduct experience evaluation and comparison analysis of the multiple online shopping malls and generate an experience evaluation result.

4. The user experience evaluation system based on multiple databases according to claim 3, characterized in that, The access link establishment unit specifically includes: The application sending module is used to send an evaluation access application to the user; A permission acquisition module, configured to acquire the user's evaluation access permission after the user agrees to the evaluation access application; A mall determination module, configured to determine multiple online shopping malls according to the evaluation access permission; A link establishment module, configured to establish access links to multiple target databases corresponding to the multiple online shopping malls.

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