TWI547888B - A method of recording user information and a search method and a server - Google Patents

Description

Method for recording user access to product information, search method and server

The present application relates to the field of computer technology, and in particular, to a method and a server for recording user access to product information, and a method and server for searching for product information by using the recorded user to access product information.

When a user searches for a product on a Business To Customer (B2C) website or a Customer To Customer (C2C) website, the user enters the name of the item to be queried through the interface provided by the website. There are two main results returned to the user after the input keyword is searched. One is the navigation information related to the product to be queried by the user, and the other is the related information of the product to be queried by the user.

At present, a large amount of commodity information is organized by tree structure according to the product category name, and the commodity category tree is stored in the corresponding data table of the database, and the data of each node in the commodity category tree is manually input and maintained. The display of each product information in the B2C website or the C2C website belongs to one or more nodes in the product category tree.

When a user queries a B2C website or a C2C website for product information, if the result returned by the website to the user is navigation information related to the item to be queried by the user, the user can follow the path of the product category tree according to the received navigation information. Target from top to bottom to the search results you wish to query. If the result returned by the website to the user is related information of the item to be queried by the user, the website returns information of all the nodes in the item category tree related to the item to be queried by the user to the user.

Since the number of products of the current e-commerce website is very large, the number of products of some websites can reach hundreds of millions of scales, and the number of product information searched according to the name of the product to be inquired by the user may be very large. On the one hand, the website server is to the user. Pushing a large amount of product information will occupy a large amount of system resources and network bandwidth of the server. On the other hand, after the user obtains the information, it is difficult to accurately and quickly locate the product that the user actually wants to query from the products returned by the website.

In order to solve the above problem, the current conventional practice is to limit the number of product categories returned to the user, by reducing the product information returned to the user, to reduce the resource occupation of the system server and the resource occupation of the network when pushing the product information to the user. And at the same time reduce the user's query time. By reducing the number of product categories returned to the user, the resource occupancy and the user's query time are reduced to a certain extent, but it is also possible to exclude goods that are highly correlated with the user query, resulting in a query returned to the user. The result is not accurate.

In summary, in the search technology for requesting the user to query the product information, the intention of the user query is not clear, and the correlation between the information in the search result returned to the user and the user query is low, resulting in poor search results of the user. The problem.

The purpose of the present application is to provide a method and a server for recording user access to product information, which are used to solve the problem that the user's query intention is not clear in the prior art.

A method for recording user information of a product, the method comprising: generating a log file each time a user accesses a page including product information, where the log file includes at least one attribute information of the product information included in the access page; Included attribute information, respectively, determining different attribute information corresponding to the same product category, and information on the number of occurrences of each attribute information; and information about each attribute corresponding to the same product category to be determined, and information about each attribute appearing The number information is recorded as a model information group; wherein: any attribute information recorded in the model information group and the corresponding number of occurrence information are stored as an attribute model information in the model information group.

A server for recording user information of a product, the server includes: a log generation module, configured to generate a log file when the user accesses the information of the page containing the product information, where the log file includes the access page At least one attribute information of the product information; the information determining module is configured to respectively determine different attribute information corresponding to the same product category and the number of times each attribute information appears according to the attribute information included in the generated plurality of log files a recording module, configured to record the different attribute information corresponding to the same product category and the number of times each attribute information appears as a model information group record; wherein: the model information group includes attribute model information, each The attribute model information includes an attribute information and information corresponding to the number of occurrences.

The application records a log file generated by the user when accessing the page containing the product information, and analyzes the attribute information in each log file, and determines the different attribute information corresponding to the same product category and the information of each attribute. The number information is recorded as a model information group, and the user's model of the product access intention is constructed, and the user's intention to access the product within the set time is clarified.

Another object of the present application is to provide a method and a server for searching for product information by using a recorded user to access product information, so as to solve the correlation between the search result returned to the user and the user query existing in the prior art. Low, causing poor user search results.

A method for searching for product information, the method comprising: determining, according to a query keyword input by a user, a product category to which the product information to be inquired by the user belongs; and finding a determined product category in each recorded information group of the record Corresponding model information group; determining attribute information matching the query keyword from the attribute information under the attribute model information of the found model information group; extracting the occurrence number from the determined attribute information to a set threshold The attribute information is returned to the user, and the item node list includes at least one page information including the item information that is the same as the extracted attribute information content.

A server for searching for product information, the server for searching includes: a category determining module, configured to determine a product category to which the item information to be inquired belongs according to the query keyword; and a search module for recording In each model information group, the model information group corresponding to the determined product category is searched; the attribute information determining module is configured to determine the key to the query from the attribute information under the attribute model information of the found model information group. The attribute information of the word matching; the extraction module is configured to extract, from the determined attribute information, the attribute information that the number of occurrences reaches the set threshold; the return module is used to search the list of the commodity nodes including the extracted attribute information as a search The result is returned.

The application classifies the user's search request by using the recorded user's access intention to the product information, and queries the attribute information with high relevance to the user's query intention, and returns the list of the commodity nodes including the queried attribute information. To the user, the user can obtain high-correlation search results, and can quickly and accurately locate the desired product information. While reducing the user's query time and accurately locating the desired product information, the resource occupation of the system server and the resource occupation of the network when pushing the product information to the user are effectively reduced.

The application proposes to record the user's access to the product information for a period of time, determine the user's intention distribution of the product information according to the recorded summary data, obtain the user's intention to access the product information, and then use the obtained user to the product information. The access intent classifies the user's search request, and returns a list of the product information nodes including the product information page link, which is highly correlated with the product information searched by the user, to the user, so that the search result is closer to the user's true intention, so that the search result is obtained. more acurrate.

The solution of the present application will be described in detail below with reference to the accompanying drawings.

Embodiment 1

The first embodiment of the present application is a method for recording user information for accessing goods. As shown in FIG. 1 , the method includes the following steps: Step 101: The server generates a log file each time the user accesses a page containing product information.

The server involved in the first embodiment refers to a device capable of generating a log file for this access event each time the user accesses the page. The server may be integrated with a server that provides a product information page, or may be a server independent of the product information page.

The specific implementation manner of this step is as follows: a link that can be connected to a server that generates a log file (referred to as a “log server”) is added in advance to the page for providing product information, and the user accesses the page through the search result or passes the After other methods (such as through the product category tree) access the page, the user generates a log file for each click of the page, and saves the generated log file to the log through the link added in the page. In the server. In this step, the log server involved may be an independent data storage device, or may be a storage device dedicated to storing log files in a database storing a commodity category tree.

The log file involved in the application includes at least one attribute information of the product information displayed on the page, and the attribute information includes product brand information, product model information, product color information, or category ID information of the product. For example, when a user accesses a provided product as a web page of a mobile phone, the log file generated by the server for the user's visit may include the following attribute information: the brand information of the mobile phone is “ABC”, and the model information of the mobile phone is “123”. The color information of the mobile phone is "red", and the information of the category ID is "mobile phone".

If the user is an access page that is accessed from the top down by the navigation information provided by the search engine along the path of the product category tree, the log file also includes the search keyword information provided by the user to the search engine. For example, the keyword searched by the user is “ABC Red”, and according to the navigation information returned by the search engine server, the mobile phone of the brand “ABC”, model “123”, and color “red” is provided along the product category tree. When the web page is generated, the generated log file may include the following attribute information: the brand information of the mobile phone is “ABC”, the model information of the mobile phone is “123”, the color information of the mobile phone is “red”, and the search keyword information is “ABC red”. "Wait. Since the log file is a text file automatically generated by the server when the user clicks on the product category page or the product information page, the format of the search keyword information input by the user included in each log file stored in the log server may be It may not be unified. In this case, the keywords input by the user in each stored log file may be normalized. The methods of normalization include, but are not limited to, removing unnecessary words and removing extra spaces. , conversion of uppercase and lowercase letters, conversion of full-shaped half-shaped, conversion of traditional Chinese characters, conversion of punctuation and conversion of Chinese digits.

Step 102: Determine, according to the attribute information included in each log file generated within the set time length, information about different attributes corresponding to the same product category, and information on the number of occurrences of each attribute information.

In this step, the log file generated within the set time length (such as 24 hours) can be statistically analyzed to determine the user's intent to query the product information within the set time length. The log file generated within the set time length may be a log file generated when a plurality of users access a web page providing product information.

In this step, since the log file contains a large amount of information, the attribute information can be classified by the support vector machine to generate classified data.

Step 103: Record the different attribute information corresponding to the same product category and the number information of each attribute information occurrence as a model information group record.

Wherein: any attribute information recorded in the model information group and the corresponding number of occurrence information are present as information of an attribute model in the model information group. The attribute model information includes: product brand model information, product model model information, and product color model information. For example, if the attribute information included in a log file is product brand information, product model information, product color information, and product category information, the product brand model information includes product brand information in the model information group corresponding to the product category information. And the number of occurrences, the product model model information includes the product model information and the number of occurrences thereof, and the product color model information includes the product color information and the number of occurrences thereof.

Since each log file is generated when the user accesses a web page providing information of a certain product, each log file corresponds to one piece of product information. However, the content of one or more attribute information in some product information may be the same, but the item ID of the item indicated by the item information is different (such as the same brand of mobile phone and computer, the product category is different, but The product brand information as the attribute information is the same), and therefore, the category corresponding to the log file can be determined based on the category of the product indicated by the product information.

Since each product category corresponds to one model information group, the model information groups corresponding to each category are grouped together to form a model indicating the user's intention to access the product information within the set time length.

The following takes the N log files in the set time length as an example to illustrate the specific implementation manner of the first embodiment: the generated N log files (1, 2, ..., n0, n1, n2, n3.. ....N) Analyze the data in turn, determine the attribute information contained in each log file, and continuously train the model information group corresponding to each product category, assuming the model obtained by training the first to nth log files. The information group is shown in Table 1:

Assume that the log file n1 is a log file generated when accessing a web page providing a certain mobile phone information, and the attribute information included is: "product brand information: ABC", "product model information: 123", "product color information: red ".

The log file n2 is a log file generated when accessing a web page providing another mobile phone information, and the attribute information included is: "product brand information: DEF", "product model information: 456", "product color information: red".

The log file n3 is a log file generated when accessing a web page providing a skirt information, and the attribute information included is: "product brand information: abc", "product model information: S", "product color information: white".

After analyzing the above n1~n3 log files, the model information group shown in Table 2 is further obtained on the basis of Table 1:

Similarly, after the n3th log file, Table 2 can be continuously updated using the n4th to Nth log messages. The set of multiple model information groups shown in Table 2 may represent a model of the user's intent to access a plurality of categories of goods over a set length of time.

When storing the model of the user's intention to access the product information shown in Table 2, it is necessary to store not only the content in each model information group, but also the correspondence between each model information group and the category.

In the solution of the first embodiment, the log information stored in the log server within the set time length may be analyzed according to the generated chronological order, and the model information group may be trained; or the sequence may be generated regardless of the sequence of generation. The attribute information in the log information is analyzed in a unified manner, and the model information group is trained.

Through the solution of the first embodiment, the user's access to the product information in the set time length is recorded in the form of a log file, and the user's query intention of the product information determined according to the summary data is recorded to construct the user pair within the set time length. A model of the access intent of the product information to determine the user's access intent over the set length of time.

Embodiment 2

In the second embodiment of the present application, the method for searching for product information by using the user to access the product information recorded in the first embodiment, as shown in FIG. 2, includes the following steps: Step 201: The server determines according to the received query keyword input by the user. The product category to which the user information to be queried belongs.

The server according to the second embodiment is a server capable of searching for product information based on a keyword input by a user, and may be integrated with the server involved in the first embodiment, or may be independently set.

Step 202: Find, in each of the recorded model information groups, a model information group corresponding to the determined product category.

In the solution of the first embodiment, in the model of the user's intention to access the product information shown in Table 2, each model information group is saved with the corresponding product category, and therefore, the server receives the key of the user input. When the word is used, the product category to which the product information to be inquired belongs may be determined according to the keyword, and then the model information group corresponding to the product category ID is determined.

For example, if the keyword input by the user to the server is “mobile phone, DEF”, it is determined that the product category of the product information to be inquired by the user is a mobile phone, and the product brand information is DEF, corresponding to the model information group 1 in the model of Table 2. In the second embodiment, the query keyword input by the user is not limited to include the item category to be queried, and may also include attribute information of the item to be queried.

Step 203: Determine attribute information that matches the query keyword from the attribute information under the attribute model information of the found model information group.

Assuming that the query keyword input by the user is “mobile phone, DEF”, the model information group found is model information group 1, and the attribute model information of model information group 1 includes product brand model information, product model model information, and product color model information. Each attribute model information further includes attribute information. The attribute information matching the query keyword "DEF" includes: product brand information "DEF", product model information "123, 456", product color information: "red, black".

If the attribute information matching the query keyword can be queried in this step, it indicates that the query keyword input by the user is a high frequency word, and the model information group obtained in the first embodiment can be directly used for querying.

If the attribute information matching the query keyword is not queried in this step, indicating that the query keyword input by the user is a low frequency word, the content of the query keyword may be reduced, and the attribute information in the newly determined attribute information may be queried and reduced. After the query keyword matches the attribute information. For example, the query keyword input by the user is “mobile phone, ABD”. Since there is no “ABD” brand mobile phone in the model information group 1 obtained in the first embodiment, the “ABD” in the query keyword is reduced, and the The "phone" re-queries as a query keyword to determine attribute information that matches the updated query keyword.

After re-query the matching attribute information, and determine that "ABD" is a low frequency word, the low frequency word can be further utilized to perform on-the-spot query intent analysis, and the content of the model information group 1 in Table 2 is updated by using the low frequency word to obtain Table 3. The model of the user's access to product information is shown:

Step 204: The server extracts, from the determined attribute information, attribute information that the number of occurrences reaches a set threshold.

In this step, in order to return the search result with high relevance to the query to the user, the attribute information of the product information with higher query intention of the user within the previous set time length may be further extracted from the attribute information queried in step 203. The information, for example, the attribute information queried in step 203 includes: product brand information "DEF", product model information "123, 456", and product color information "red, black". According to Table 2, the brand information of the product can be determined as “DEF”. Therefore, regardless of the quantity of “DEF”, “DEF” should be used as the extracted attribute information; the number of product model information “123” is 7, product model information The number of "456" is 21, so "456" can be used as the extracted attribute information; the quantity of the product color information is "red" is 12, and the quantity of product color information is "black" is 60, therefore, it can be "Black" is used as the extracted attribute information. At this time, the finally obtained attribute information includes: product brand information "DEF", product model information "456", and product color information "black".

Step 205: The server returns a list of commodity nodes including the extracted attribute information to the user.

The product node list contains at least one page information including the product information, such as the link address information, which is the same as the extracted attribute information content.

Since the product information is stored in the database in the form of a product information category tree, it is possible to include a part of the attribute information including the product brand "DEF", the product model number "456", and the product color "black" or the information of the attribute information. The list of commodity nodes is returned to the user in XML format.

When the user accesses a certain product page through the link information of the product page included in the product node list, the product page may further include one or more of the seller information, the price trend information, and the buyer feedback information of the displayed product. .

In the solution of the second embodiment, if the query keyword input by the user in step 201 does not include the product category to which the item to be queried belongs, the model information group of Table 2 is queried whether the content matches the content of the query keyword. The attribute model information, if present, may determine the model information group to which the attribute model information belongs according to the attribute model information that is queried, and then determine the item category to which the item to be queried belongs; otherwise, the query keyword may be queried according to the query keyword. Corresponding information related to the product to be inquired by the user, and returning the related information to the user, and generating a log file when the user accesses the page indicated by the related information, and updating the model information group of Table 2 by using the generated log file. Where: the content of the query keyword will be part of the updated model information group.

For example, if the query keyword input by the user in step 201 is “ABC”, it can be determined from the content of the model information group in Table 2 that the product category to which the item to be inquired belongs is a mobile phone.

If the query keyword input by the user in step 201 is "ABD", the item category to which the item to be inquired belongs cannot be determined from Table 2, and therefore, the server queries the item category tree stored in the database. All relevant information matching "ABD" and information about all nodes containing the related information is returned to the user. After the user obtains the information returned by the server, each time the page indicated by the returned information is accessed, the log file is generated according to the scheme of the first embodiment. For example, when a user accesses a mobile phone webpage of an ABD brand, the log file generated by the server for the user's visit may include at least the following attribute information: the brand information of the mobile phone is “ABD”, and may be generated according to the current The log file is updated in Table 2 to obtain the model information group as shown in Table 3:

In the above example, the query keyword "ABD" input by the user may be the content of the commodity attribute information actually existing in the commodity category tree, or may be a mistake input by the user when inputting the query keyword, such as the user actually wants to input. The query keyword is "ABC", but an error occurs when inputting, resulting in the input of "ABD". After returning the information of all the nodes in the product category tree related to the product to be queried by the user in the manner of the above example, the user When the page is accessed, the log file should contain the actual attribute information of the page and the query keyword entered by the user.

For example, the user accesses the mobile phone web page of the ABC brand. At this time, the log file generated by the server for the user's visit may include at least the following attribute information: the brand information of the mobile phone is “ABC” and “ABD”. ", you can update Table 2 according to the currently generated log file to get the model information group as shown in Table 4:

In the model information group shown in Table 4, if the ABD is a user's erroneous input, when the scheme of the second embodiment of the present invention is executed by using Table 4, the number of erroneously inputting "ABD" is small, and the setting cannot be achieved. Threshold, therefore, when the user correctly enters the query keyword, the incorrect input will not affect the accuracy of the query result; if the ABD is not the user's wrong input, but a new type of mobile phone brand, then the user requests to query "ABD" ", you can provide accurate query results for users according to Table 4.

Through the solution of the second embodiment, the user's search request is classified by using the recorded user's intention to access the product information, and the attribute information with high relevance to the user's query intention is queried, so that the user obtains a high correlation search. As a result, it is possible to quickly and accurately locate the desired product information.

Embodiment 3

The third embodiment of the present application further provides a server for recording user information of the product. As shown in FIG. 3, the server includes: a log generation module 11, an information determination module 12, and a record module 13, wherein: the log is generated. The module 11 is configured to generate a log file, where the log file includes at least one attribute information of the product information included in the access page, and the information determining module 12 is configured to generate the log information. The attribute information included in the plurality of log files respectively determines different attribute information corresponding to the same product category and the number of times information of each attribute information appears; the recording module 13 is configured to correspond to the determined same product category Each of the different attribute information and the number of times information of each attribute information is recorded as a model information group; wherein: the model information group includes attribute model information, and each of the attribute model information includes an attribute information and information corresponding to the number of occurrences.

The attribute information and attribute model information of the product information involved in this embodiment are the same as defined in the first embodiment.

Embodiment 4

In the fourth embodiment of the present application, based on the user accessing the product information recorded by the server of the third embodiment, a server for searching for product information is proposed. As shown in FIG. 4, the server for searching includes: category determination. The module 21, the search module 22, the attribute information determining module 23, the extracting module 24, and the returning module 25, wherein the category determining module 21 is configured to determine the product category to which the product information to be inquired belongs according to the query keyword. The search module 22 is configured to search for the model information group corresponding to the determined product category in each of the recorded model information groups; the attribute information determining module 23 is configured to use the attribute model information of the found model information group. In the attribute information, the attribute information matching the query keyword is determined; the extraction module 24 is configured to extract, from the determined attribute information, attribute information whose number of occurrences reaches a set threshold; the return module 25 is configured to include the extraction The list of product nodes of the attribute information is returned as a search result.

The searching module 22 is specifically configured to determine, according to the attribute model information to which the attribute information belongs in the query keyword, the model information group to which the attribute model information belongs from the plurality of model information groups.

The attribute information determining module 23 is further configured to: when the attribute model information corresponding to the attribute information matching the query keyword is not queried in the model information group, reduce the content of the query keyword, and then re-find the found model information group. The attribute model information corresponding to the attribute information matching the query keyword after the content is reduced.

The server for searching further includes an update module 26 for updating the found model information group according to the query keyword after the content is reduced.

The returning module 25 is further configured to: when the attribute information matching the query keyword does not exist in the attribute model information of the model information group, query all information matching the query keyword from the product category tree, and return the information including the information. Information about all nodes.

The server for searching further includes a log generating module 27, configured to generate a log file when receiving access information of a page for returning product information in information of all nodes that include the information; the update module 26 further uses Updating the model information group according to the attribute information of the product information in the log file and the corresponding query keyword.

The server for recording the user's access to the product information in the third embodiment and the server for searching the product information in the fourth embodiment may be independent network devices or integrated network devices.

Those skilled in the art will appreciate that embodiments of the present application can be provided as a method, system, or computer program product. Thus, the present application can take the form of a complete hardware embodiment, a fully software embodiment, or an embodiment combining soft and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) containing computer usable code. .

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present application. It will be understood that each flow and/or block of the flowchart illustrations and/or FIG. These computer program instructions can be provided to a processor of a general purpose computer, a special purpose computer, an embedded processor or other programmable data processing device to produce a machine for generating instructions for execution by a processor of a computer or other programmable data processing device. Means for implementing the functions specified in one or more of the flow or in a block or blocks of the flow chart.

The computer program instructions can also be stored in a computer readable memory that can boot a computer or other programmable data processing device to operate in a particular manner, such that instructions stored in the computer readable memory produce an article of manufacture including the instruction device. The instruction means implements the functions specified in one or more blocks of the flow or in a flow or block diagram of the flowchart.

These computer program instructions can also be loaded onto a computer or other programmable data processing device to perform a series of operational steps on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device. The instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.

While the preferred embodiment of the present application has been described, those skilled in the art can make additional changes and modifications to these embodiments once they are aware of the basic inventive concept. Therefore, the scope of the appended claims is intended to be construed as a

It will be apparent that those skilled in the art can make various modifications and variations to the present invention without departing from the spirit and scope of the application. Thus, it is intended that the present invention cover the modifications and variations of the invention,

11. . . Log generation module

12. . . Information determination module

13. . . Recording module

twenty one. . . Category determination module

twenty two. . . Search module

twenty three. . . Attribute information determination module

twenty four. . . Extraction module

25. . . Return module

26. . . Update module

27. . . Log generation module

1 is a schematic diagram of a method for determining the quantity of attribute information of a commodity according to Embodiment 1 of the present application;

2 is a schematic diagram of a method for performing product search according to Embodiment 2 of the present application;

3 is a schematic structural diagram of a server for recording user access to product information according to Embodiment 3 of the present application;

FIG. 4 is a schematic structural diagram of a server for searching product information according to Embodiment 3 of the present application.

Claims (10)

A method for recording user information of a product, wherein the method includes: when the server receives the access information of the user that includes the product information, the log file is generated, and the log file includes the product information included in the access page. At least one attribute information; determining, according to the generated attribute information of the plurality of log files, different attribute information corresponding to the same product category and the number of times each attribute information appears; determining the same product category corresponding to the same product category Each of the different attribute information and the number of times each attribute information appears as a model information group record, wherein the model information group includes attribute model information, and each of the attribute model information includes an attribute information and information corresponding to the number of occurrences, And the server determines, according to the received query keyword input by the user, the product category to which the product information to be inquired belongs belongs, wherein if there is a product category to which the item to be inquired belongs in the query keyword, then: the attribute of the model information group from the model Extracting attribute information corresponding to the product category in the information, and Merchandise categories of goods to be queried belongs does not exist if the query keywords, then: Use the information to a query keyword query commodity product category tree to be queried, and information related to the information of all the nodes back to the user. The method of claim 1, wherein the attribute information of the product information included in the log file is: product brand information, product Model information, product color information, and product category information; the model information group includes the following attribute model information: product brand model information composed of product brand information and its occurrence times; product model number composed of product model information and its appearance times Model information; and product color model information consisting of product color information and its occurrences. A method for searching for product information, characterized in that the user accessing the product information by using the record of the first item of the patent application scope includes: the server determines, according to the query keyword, the product category to which the product information to be inquired belongs; If there is a product category to which the item to be inquired belongs in the query keyword, the model information group corresponding to the determined product category is searched in each model information group recorded; from the attribute model information of the found model information group In the attribute information, the attribute information matching the query keyword is determined; from the determined attribute information, the attribute information whose number of occurrences reaches the set threshold is extracted; and if the product category to which the item to be inquired does not exist in the query keyword For example, the query keyword is used to query related information of the item to be inquired in the product category tree, and the list of product nodes including the extracted attribute information is made. Return for search results. The method of claim 3, wherein before extracting the attribute information that the number of occurrences of the corresponding attribute information reaches the set threshold, the method further includes: if the query keyword is not found in the model information group After matching the attribute model information corresponding to the attribute information, after reducing the content of the query keyword, the attribute model information corresponding to the attribute information matching the query keyword after the content reduction is re-inquired in the found model information group. The method of claim 4, wherein, after re-query the attribute model information corresponding to the attribute information matching the query keyword after the content is reduced, the method further comprises: updating the query keyword according to the reduced content The model information group found. The method of claim 3, wherein the server searches for a corresponding model information group according to the product category determined by the query keyword, and specifically includes: the attribute model information that the server belongs to according to the attribute information in the query keyword. And determining, from a plurality of model information groups, a model information group to which the attribute model information belongs. The method of claim 3, wherein, when there is no attribute information matching the query keyword in the attribute model information of the model information group, the method further comprises: the server querying from the commodity category tree All information that matches the query keyword and returns information about all nodes that contain that information. The method of claim 7, wherein the method further comprises: when the server receives the access information of the page of the product information in the information of all the nodes that return the information, generating a log file, and The model information group is updated according to the attribute information of the product information in the log file and the corresponding query keyword. A server for recording user information of a product, wherein the server includes: a log generating module, configured to generate a log file when the user accesses the access information of the page containing the product information, and the log file includes the access At least one attribute information of the product information included in the page; the information determining module is configured to respectively determine different attribute information and each attribute information corresponding to the same product category according to the generated attribute information included in the plurality of log files The number of times of occurrence information; and a recording module, configured to record the different attribute information corresponding to the same product category and the number of times each attribute information appears as a model information group, wherein the model information group includes attributes The model information, each of the attribute model information includes an attribute information and a corresponding number of times of occurrence information, wherein the server determines, according to the received query keyword input by the user, the product category to which the user information to be inquired belongs, wherein, if the query If there is a product category to which the item to be inquired belongs in the keyword, then: Attribution information group type information is extracted and the product category corresponding to the attribute information, and If there is no product category to which the item to be queried belongs in the query keyword, the query keyword is used to query related information of the item to be queried in the item category tree, and the information of all nodes of the related information is returned to the user. A server for searching uses a user who accesses product information in the ninth record of the patent application to search for product information, wherein the server for searching includes: a category determining module, which is used according to the query key a word to determine a product category to which the item information to be inquired belongs; a search module for searching for the determined item category in each of the recorded model information groups if there is a product category to which the item to be inquired belongs in the query keyword a model information group corresponding to the object; an attribute information determining module, configured to determine attribute information matching the query keyword from the attribute information under the attribute model information of the found model information group; and extracting a module for In the determined attribute information, the attribute information whose number of occurrences reaches the set threshold is extracted; and the return module is used to query the product category using the query keyword if there is no product category to which the item to be inquired belongs in the query keyword Information about the item to be queried in the target tree, and a list of product nodes containing the extracted attribute information as a search The result is returned.