WO2022116833A1

WO2022116833A1 - Product search method, terminal device, and server

Info

Publication number: WO2022116833A1
Application number: PCT/CN2021/131274
Authority: WO
Inventors: 狄彩林
Original assignee: 北京沃东天骏信息技术有限公司; 北京京东世纪贸易有限公司
Priority date: 2020-12-01
Filing date: 2021-11-17
Publication date: 2022-06-09
Also published as: CN113742570A

Abstract

A product search method for use in a terminal device, the method comprising: on the basis of product search information, acquiring a search result corresponding to the search information and displaying same, the search result comprising at least one item of product information (101); selecting a pre-purchased product from the search result and entering a details page of the pre-purchased product (102); acquiring user browsing information of the pre-purchased product and parameter information of the pre-purchased product (103); and, on the basis of the user browsing information and parameter information of the pre-purchased product, recommending associated information associated with the pre-purchased product to the user and displaying the associated information (104). Thus, associated information associated with a pre-purchased product that the user is currently browsing is recommended to the user in real time on the basis of the user browsing information and parameter information of the pre-purchased product, so that the search results are updated in real time, increasing the product search rate.

Description

A kind of commodity search method, terminal device and server

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is based on the Chinese patent application with the application number of 202011385532.3, the application date is December 1, 2020, and the application name is "a commodity search method, terminal device and server", and claims the priority of the Chinese patent application. The entire contents of the Chinese patent application are hereby incorporated by reference into this application.

technical field

The present application relates to the field of the Internet, and in particular, to a commodity search method, a terminal device and a server.

Background technique

At present, when users open a certain shopping software to search for products, they enter product keywords in the search box to search, and the search result page is displayed. By browsing the search result page, the user can open multiple product details to check in detail, and finally choose the one that suits his heart. Products of.

In the process of searching for products, there may be cases where the desired products are not purchased. You need to re-enter new keywords in the search box to search again, that is, start a new search process, resulting in a low product search rate.

SUMMARY OF THE INVENTION

To solve the above technical problems, embodiments of the present application provide a commodity search method, a terminal device, and a server.

In a first aspect, an embodiment of the present application provides a commodity search method, which is applied to a terminal device, and the method includes:

Obtain and display a search result corresponding to the search information based on the commodity search information; wherein, the search result includes at least one commodity information;

Select a pre-order item from the search result, and enter the details page of the pre-order item;

Obtain user browsing information of the pre-ordered product and parameter information of the pre-ordered product;

Based on the user browsing information and parameter information of the pre-purchased commodity, the association information associated with the pre-purchased commodity is recommended to the user, and the association information is displayed.

In the above solution, the recommending the associated information associated with the pre-purchased commodity to the user based on the user browsing information and parameter information of the pre-purchased commodity includes: sending the user browsing information and parameter information to the server, so that all The server determines whether to recommend the related information to the user based on the user browsing information; if the server determines to recommend the related information to the user, the related information determined by the server based on the parameter information is received.

In the above solution, the recommending the associated information associated with the pre-purchased item to the user based on the user browsing information and parameter information of the pre-purchased item includes: judging whether to recommend the associated information to the user based on the user browsing information ; if it is determined to recommend the association information to the user, send the parameter information to the server, so that the server determines the association information based on the parameter information; receive the association information sent by the server.

In the above solution, the user browsing information includes at least one of the following: browsing duration and browsing information amount.

In the above solution, the judging whether to recommend the associated information to the user based on the user browsing information includes: when the browsing duration is greater than or equal to a duration threshold, and/or the amount of browsing information is greater than or equal to the information amount threshold, It is determined to recommend the associated information to the user; otherwise, it is determined not to recommend the associated information to the user.

In the above solution, the displaying the associated information includes: acquiring location information of the pre-ordered product; and displaying the associated information below the location of the pre-ordered product based on the location information.

In the above solution, the obtaining the user browsing information of the pre-ordered product includes: starting to monitor the user's browsing behavior when entering the details page of the pre-ordered product; Stop monitoring user browsing behavior and obtain user browsing information.

In the above solution, the associated information includes at least one of the following: a link of the associated commodity, and a label of the associated commodity.

In a second aspect, a method for searching for goods is provided, which is applied to a server, and the method includes:

Receive user browsing information and parameter information of pre-purchased commodities sent by terminal equipment;

Based on the user browsing information, determine whether to recommend the associated information associated with the pre-ordered product to the user;

If it is determined that the associated information is recommended to the user, the associated information is determined based on the parameter information and sent to the terminal device.

In the above solution, determining whether to recommend the associated information associated with the pre-ordered product to the user based on the user browsing information includes: the browsing duration is greater than or equal to a duration threshold, and/or the amount of browsing information is greater than or When it is equal to the information amount threshold, it is determined to recommend the associated information to the user; otherwise, it is determined not to recommend the associated information to the user.

In the above solution, the determining the association information based on the parameter information includes: querying the matching association information from a preset database based on the parameter information.

In a third aspect, a commodity search device is provided, which is applied to terminal equipment, and the device includes:

an acquisition unit, configured to acquire and display a search result corresponding to the search information based on the commodity search information; wherein, the search result includes at least one commodity information;

a selection unit, configured to select a pre-ordered commodity from the search result, and enter a detail page of the pre-ordered commodity;

the obtaining unit, configured to obtain user browsing information of the pre-ordered product and parameter information of the pre-ordered product;

a recommending unit, configured to recommend associated information associated with the pre-purchased commodity to the user based on user browsing information and parameter information of the pre-purchased commodity;

A display unit configured to display the associated information.

In a fourth aspect, a commodity search device is provided, applied to a server, and the device includes:

a receiving unit, configured to receive user browsing information and parameter information of the pre-purchased commodity sent by the terminal device;

a judging unit, configured to judge, based on the user browsing information, whether to recommend the associated information associated with the pre-ordered commodity to the user;

The determining unit is configured to, if it is determined to recommend the associated information to the user, determine the associated information based on the parameter information and send the associated information to the terminal device.

In a fifth aspect, there is provided a terminal device, comprising: a processor and a memory configured to store a computer program that can be executed on the processor, wherein the processor is configured to execute the aforementioned first computer program when the processor is configured to run the computer program. Aspect method steps.

In a sixth aspect, there is provided a server comprising: a processor and a memory configured to store a computer program executable on the processor, wherein the processor is configured to execute the aforementioned second aspect when running the computer program steps of the method.

In a seventh aspect, there is provided a computer-readable storage medium on which a computer program is stored, wherein the computer program, when executed by a processor, implements the steps of the aforementioned method.

According to the technical solution of the embodiment of the present application, according to the user browsing information and parameter information of the pre-purchased commodity, the related information associated with the pre-purchased commodity that the user is browsing is recommended to the user in real time, that is, the search result is updated in real time, and the commodity search rate is improved.

Description of drawings

Fig. 1 is the first schematic flow chart of the commodity search method in the embodiment of the application;

FIG. 2 is a second schematic flowchart of the commodity search method in the embodiment of the application;

3 is a schematic structural diagram of a method for implementing commodity search between a terminal device and a server in an embodiment of the present application;

4 is a schematic flowchart of a server implementing a recommendation function according to an embodiment of the present application;

FIG. 5 is a schematic diagram of a first structure of a commodity search device in an embodiment of the present application;

FIG. 6 is a schematic diagram of a second structure of a commodity search device in an embodiment of the present application;

FIG. 7 is a schematic structural diagram of a terminal device in an embodiment of the present application;

FIG. 8 is a schematic structural diagram of a server in an embodiment of the present application.

Detailed ways

In order to have a more detailed understanding of the features and technical contents of the embodiments of the present application, the implementation of the embodiments of the present application will be described in detail below with reference to the accompanying drawings.

An embodiment of the present application provides a method for searching for a commodity. FIG. 1 is a first schematic flowchart of the method for searching for a commodity in an embodiment of the present application. As shown in FIG. 1 , the method for searching for a commodity is applied to a terminal device, and may specifically include:

Step 101: Based on the commodity search information, obtain and display a search result corresponding to the search information; wherein, the search result includes at least one piece of commodity information;

It should be noted that the terminal device here may be a mobile device with a networking function, such as a laptop computer, a tablet computer, and a mobile phone. The terminal device includes a display unit for displaying search results.

It should be noted that the product search information is a product keyword or a picture containing product information. The search result is product information similar to that of the searched product. A piece of product information may include product pictures, product keywords, and product sales numbers.

Specifically, when searching for a product, open the software with search function on the terminal device, input the product keyword into the search box of the software, or click the scan button to scan the picture containing the product information, and send it to the server. Here, the server is used to search out the corresponding search result from the database according to the commodity search information and send it to the terminal device. The server searches the database for a plurality of corresponding commodity information based on commodity keywords or pictures containing commodity information, and sends them to the terminal device, and then displays the searched commodity information through the display unit of the terminal device.

Step 102: Select a pre-ordered product from the search results, and enter the details page of the pre-ordered product;

It should be noted that the pre-ordered product refers to the product that the user is more interested in. Usually, the user will go to the detail page of the pre-ordered product to browse the relevant information in detail, to learn more about the pre-ordered product, and to determine whether it needs to be added to the shopping cart as an option for purchase.

Step 103: Obtain user browsing information of the pre-ordered product and parameter information of the pre-ordered product;

It should be noted that the user browsing information is used to represent the user's browsing behavior of pre-purchased commodities. For example, the user browsing information includes at least one of the following: browsing duration and browsing information amount. Browsing time refers to the time from when a user enters the product details page to when he exits the product details page.

It should be noted that, when browsing the detail page, the user may browse the entire product detail page according to their own preferences, or may end the browsing behavior and return to the search results during the browsing process. A product detail page consists of multiple pages. That is, the user browses at least one page. The amount of browsing information here may be the number of pages that the user browses on the detail page.

It should be noted that the parameter information includes the name, model, color, brand, and the like of the commodity.

In some embodiments, the acquiring the user browsing information of the pre-ordered product includes: upon detecting entering the detail page of the pre-ordered product, starting to monitor the user's browsing behavior; detecting exiting the detail page of the pre-ordered product When the user's browsing behavior is stopped, the user's browsing information is obtained.

That is to say, when the terminal device detects that the user has clicked to enter the product details page, it starts timing, and ends when the user exits the product details page and returns to the search result. Based on the difference between the start timing and the end timing, the terminal device calculates the browsing product details. The length of the page.

Step 104: Based on the user browsing information and parameter information of the pre-purchased commodity, recommend to the user associated information associated with the pre-purchased commodity, and display the associated information.

It should be noted that the associated information includes at least one of the following: a link of the associated product, and a label of the associated product. Here, the tag of the associated product may be the associated brand of the product, the associated product name, and the associated product picture.

It should be noted that it can be used to browse the details page by clicking the link of the related product, or click the label of the related product (which can be understood as product search information) to search for new search results, and then determine the new search result. Pre-order items.

It should also be noted that a pre-ordered product is a product that the user has an idea to buy, but it is not necessarily a product that the user will definitely buy. In order to enable the terminal device to recommend more related product information to the user, so that the user can purchase the desired product as soon as possible, here, the terminal device can determine whether the related information needs to be recommended to the user, or the server can determine whether the related information needs to be recommended to the user. information.

In some embodiments, this step specifically includes: sending the user browsing information and parameter information to a server, so that the server determines whether to recommend the associated information to the user based on the user browsing information; The user recommends the association information, and receives the association information determined by the server based on the parameter information.

It should be noted that, before sending the user browsing information and parameter information to the server, the terminal device needs to send a connection request to the server, and the server responds to the connection request, so that data transmission can be performed between the terminal device and the server.

It should be noted that, since the user's browsing information can reflect the user's degree of interest in the product, the user's degree of interest can be determined according to the user's browsing information. If it is lower than a certain degree of interest, it means that there is no need to recommend related information to the user.

It should be noted that the action of judging whether to recommend the associated information to the user may be performed by the server. When the server determines that it needs to recommend to the user according to the user's browsing information, the server further selects the associated association information from the database according to the parameter information of the pre-purchased commodity. If no recommendation is required, the server may return null information to the terminal device at this time, indicating that no recommendation is required.

In some embodiments, this step specifically includes: judging whether to recommend the related information to the user based on the user browsing information; if it is determined to recommend the related information to the user, sending the parameter information to the server, so that the server Determine the association information based on the parameter information; and receive the association information sent by the server.

That is to say, the action of judging whether to recommend the associated information to the user may also be performed by the terminal device.

Specifically, after the terminal device obtains the user's browsing information, it determines whether to recommend the related information to the user according to the user's browsing information. If it is determined that the user needs to be recommended, the terminal device sends the parameter information of the pre-purchased product to the server, and the server based on the parameter information The associated information associated with the pre-purchased commodity is selected from the database, and returned to the terminal device for display. If it is determined that no recommendation is required to the user, the terminal device does not need to send the parameter information to the server, that is, the server does not need to perform the action of determining the associated information, which saves certain network resources.

In some embodiments, the determining whether to recommend the related information to the user based on the user browsing information includes: the browsing duration is greater than or equal to a duration threshold, and/or the browsing information amount is greater than or equal to an information amount threshold is determined to recommend the associated information to the user; otherwise, it is determined not to recommend the associated information to the user.

It should be noted that the duration threshold is the shortest duration of browsing the details page when the user is interested in the product. The information amount threshold is the minimum amount of information for browsing the details page when the user is interested in the product.

Specifically, when the browsing duration is greater than or equal to the duration threshold, it indicates that the related information needs to be recommended to the user. Or, when the amount of browsing information is greater than or equal to the information amount threshold, it indicates that related information needs to be recommended to the user. Or, when the browsing duration is greater than or equal to the duration threshold, and the browsing information amount is greater than or equal to the information amount threshold, it indicates that the related information needs to be recommended to the user.

In some embodiments, the displaying the associated information includes: acquiring location information of the pre-ordered product; and displaying the associated information below the location of the pre-ordered product based on the location information.

It should be noted that, in order for the user to determine the commodity to be purchased as soon as possible, after the terminal device receives the associated information sent by the server, the terminal device will display the associated information below the pre-purchased commodity. Specifically, the associated information may also be displayed differently from other information, in order to facilitate the user to intuitively identify the associated information in the search result. For example, use a specific background to display related information.

Further, the user continues to determine the next pre-ordered product in the associated information, and repeats the above steps, so that the desired product can be purchased as soon as possible.

Here, the execution subject of steps 101 to 104 may be the processor of the terminal device.

With the above technical solution, according to the user browsing information and parameter information of the pre-purchased products, the relevant information associated with the pre-purchased products that the user is browsing is recommended to the user in real time, that is, the search results are updated in real time, and the product search rate is improved.

The embodiment of the present application also provides a method for searching for commodities. FIG. 2 is a second schematic flowchart of the method for searching for commodities in the embodiment of the present application. As shown in FIG. 2 , the method for searching for commodities is applied to a server, and may specifically include:

Step 201: Receive user browsing information and parameter information of the pre-purchased commodity sent by the terminal device;

It should be noted that, before the server receives user browsing information and parameter information, the server receives a communication connection request sent by the terminal device, and the server responds to the communication connection request, so that data transmission can be performed between the terminal device and the server.

It should be noted that the user browsing information is used to represent the user's browsing behavior of pre-purchased commodities. For example, the user browsing information includes at least one of the following: browsing duration and browsing information amount. Browsing time refers to the time from when a user enters the product details page to when he exits the product details page. The product details page contains multiple pages, and the amount of browsing information here can be the number of pages the user browses the details page.

It should be noted that the parameter information is related information of the pre-ordered product, which may include the name, model, color, brand, and the like of the product.

Step 202: Determine, based on the user browsing information, whether to recommend the associated information associated with the pre-ordered commodity to the user;

Here, since the user's browsing information can reflect the user's degree of interest in the commodity, the server determines the user's degree of interest according to the user's browsing information, and then determines whether or not to recommend the related information associated with the pre-purchased commodity to the user.

In some embodiments, this step specifically includes: when the browsing duration is greater than the duration threshold, and/or the amount of browsing information is greater than the information amount threshold, determining to recommend the associated information to the user; otherwise, determining not to recommend the relevant information to the user related information.

Step 203: If it is determined to recommend the associated information to the user, determine the associated information based on the parameter information and send the associated information to the terminal device.

It should be noted that since the parameter information is the relevant information of the pre-purchased product, when the server determines to recommend it to the user, the server needs to search for the associated information according to the relevant information of the pre-purchased product, so that the user can search for the desired product as soon as possible. .

In some embodiments, the determining the association information based on the parameter information includes: querying the matching association information from a preset database based on the parameter information.

That is to say, the server sequentially queries the relevant information matching the pre-purchased commodities from the preset database according to the parameter information.

The parameter information here may include first part information, second part information and third part information. The parameter information includes multiple feature information of the pre-purchased product, the range of the feature information in the first part of the information is smaller than the range of the feature information in the second part of the information, and the range of the feature information in the second part of the information is smaller than the range of the feature information in the third part of the information .

Specifically, the server obtains the first association information from the preset database according to the first part of the information; then determines the second association information from the first association information according to the second part of the information; and then determines the second association information from the second association information according to the third part of the information The third associated information is determined. The third associated information here is the associated information sent by the server to the terminal device.

Based on the above embodiments, the present application provides a specific implementation method for commodity search. FIG. 3 is a schematic structural diagram of a commodity search method implemented between a terminal device and a server in an embodiment of the application.

As shown in FIG. 3 , the entire commodity search method is implemented through the terminal device 30 and the server 31. Specifically,

Enter product search information, such as "mobile phone", into the search box 301 of the terminal device 30, the terminal device 30 obtains and displays the search result 302 based on the "mobile phone" search, and the commodities displayed on the search result 302 include the first mobile phone, the second cell phone and third cell phone. When the first mobile phone is used as a pre-ordered product, click the first mobile phone to enter the details page 303, and the user browses the details page by sliding or other means until returning to the search result 302. At this time, the terminal device 30 obtains the user browsing information corresponding to the first mobile phone and parameter information, and send it to the server 31 .

After receiving the user browsing information and parameter information corresponding to the first mobile phone sent by the terminal device 30, the server 31 obtains the associated information associated with the first mobile phone after passing through the systems of blender311, merger312 and rsearcher313. The associated information here may include first mobile phone links of different manufacturers, related brands of mobile phones, and associated mobile phone pictures.

Here, the recommended method of the server 31 is as follows:

The blender 311 is used to judge whether the access traffic of the terminal device 30 accessing the server 31 exceeds the limit. When the access traffic exceeds the traffic threshold, the server 31 does not respond to the access request of the terminal device 30 at this time, that is, the server 31 does not recommend the associated information of the first mobile phone to the user. When the access traffic is lower than the traffic threshold, the blender311 sends the user browsing information and parameter information corresponding to the first mobile phone to the merger312.

The merger 312 is used to determine whether to recommend associated information to the user. Specifically, the merger312 determines whether to recommend related information to the user according to the user's browsing information. For example, when the user's browsing information includes the browsing duration and the amount of browsing information (which can be the number of detail pages), if the browsing duration ≥ 5s, and/or the number of detail pages ≥ At 5 pages, it is determined that related information needs to be recommended to the user. Otherwise, no recommendation is required. In addition, when the merger312 determines that the related information needs to be recommended to the user, the merger312 sends the parameter information to the rsearcher313.

In addition, when judging whether to recommend related information to the user, on the basis of the user's browsing information, the preset number of recommendations and the location interval with the first mobile phone may also be combined, that is, the browsing duration is greater than or equal to the duration threshold, and/or the amount of browsing information Only when it is greater than or equal to the information volume threshold and less than the set recommendation times, and the location interval with the first mobile phone is greater than or equal to the location interval threshold, it can be determined that the associated information is recommended to the user.

Before describing the rsearcher313, it should be noted that the parameter information may include the first part of information, the second part of information and the third part of information. The parameter information includes multiple feature information of the pre-purchased product, the range of the feature information in the first part of the information is smaller than the range of the feature information in the second part of the information, and the range of the feature information in the second part of the information is smaller than the range of the feature information in the third part of the information .

The rsearcher313 is used to determine a part of the associated information from the database based on the parameter information. Specifically, rsearcher313 first performs a recall process according to the first part of the parameters (recall can be understood as quickly recalling a wide range of related information from the database according to very few product features), that is, obtain the first related information from the database; then, continue Perform a rough sorting process according to the second part of the parameters (the rough sorting can be understood as further narrowing the scope of the first related information on the basis of recall), that is, determine the second related information from the first related information, and send it to merge312. The second associated information here is to determine a part of the associated information.

merger312 receives the second association information returned by rsearcher313, removes the browsed association information in the second association information, and performs a fine sorting process according to the third part of the parameters (fine sorting can be understood as further narrowing the The scope of the second related information), that is, the third related information is determined from the second related information. The third association information here is association information sent to the terminal device 30 .

Finally, the terminal device 30 displays the associated information at the next commodity position of the first mobile phone position.

Further, the user continues to determine the next pre-ordered product in the associated information, and repeats the above process, so that the desired product can be purchased as soon as possible.

The following mainly describes the flow between blender, merger, and rsearcher in the server. FIG. 4 is a schematic flow diagram of the server implementing the recommendation function according to the embodiment of the application, as shown in FIG. 4 . Specifically,

Step 401: Obtain a recommendation request;

Blender is used to judge whether the access traffic of the terminal device to the server exceeds the limit. Here, the access traffic is below the traffic threshold, and blender sends a recommendation request to the merger.

Step 402: Parse the recommendation request;

The recommendation request contains user browsing information and parameter information.

Step 403: Determine whether to recommend to the user based on the user browsing information; if it is determined to recommend, go to Step 405; if not, go to Step 404;

Step 404: empty information;

That is, merger returns empty information to blender, indicating that it is not recommended.

Step 405: send parameter information;

merger sends parameter information to blender. Here, the parameter information includes a pre-order item link 406 and a pre-order item tag 407 .

Step 408: the first recall process;

Based on part of the first part of the parameter information in the pre-purchased product link, the rsearcher selects the matching first product link from the database (that is, the above-mentioned part of the first related information).

Step 409: the first rough row processing;

Based on the second part of the parameter information in the pre-purchased product link, the rsearcher selects the matching second product link from the first product link (that is, the above-mentioned part of the second related information).

Step 410: the first deduplication process;

Removes the viewed item link in the second item link.

Step 411: the first fine sorting process;

The rsearcher selects a matching third product link from the second product link based on part of the third part parameter information in the pre-purchased product link (that is, the above-mentioned part of the third related information).

Step 412: the second recall process;

Based on another part of the first part of parameter information in the pre-purchased product label, the rsearcher selects a matching first product label (ie, another part of the first associated information mentioned above) from the database.

Step 413: the second rough row processing;

Based on another part of the second part of parameter information in the pre-purchased product tag, the rsearcher selects a matching second product tag (ie, another part of the second related information mentioned above) from the first product tag.

Step 414: the second deduplication process;

Removes viewed item tags in the second item tag.

Step 415: the second fine sorting process;

Based on another part of the third part of the parameter information in the pre-purchased product tag, the rsearcher selects a matching third product tag (ie, another part of the third related information mentioned above) from the second product tag.

Step 416: splicing processing;

Combine the third product link with the third product label. In addition, when the types of associated information are different, the same splicing processing method is still used to obtain them.

Step 417: packing processing;

Step 418: associated information;

The association information here is a combination of part of the third association information in step 411 and another part of the third association information in step 415 .

An embodiment of the present application provides an apparatus for searching for commodities, which is applied to a terminal device. FIG. 5 is a schematic diagram of a first structure of the apparatus for searching for commodities in an embodiment of the present application. As shown in FIG. 5 , the apparatus 50 includes:

The obtaining unit 501 is configured to obtain and display a search result corresponding to the search information based on the product search information; wherein, the search result includes at least one piece of product information;

A selection unit 502, configured to select a pre-ordered commodity from the search result, and enter a detail page of the pre-ordered commodity;

The obtaining unit 501 is configured to obtain user browsing information of the pre-ordered product and parameter information of the pre-ordered product;

A recommending unit 503, configured to recommend to the user the associated information associated with the pre-purchased commodity based on user browsing information and parameter information of the pre-purchased commodity;

The display unit 504 is configured to display the associated information.

In some embodiments, the device includes: a display unit 503, which is specifically configured to send the user browsing information and parameter information to a server, so that the server determines whether to recommend the associated information to the user based on the user browsing information ; if the server determines to recommend the associated information to the user, receive the associated information determined by the server based on the parameter information.

In some embodiments, the device includes: a recommending unit 503, which is specifically configured to determine whether to recommend the associated information to the user based on the user browsing information; if it is determined to recommend the associated information to the user, send the associated information to the server parameter information, so that the server determines the association information based on the parameter information; and receives the association information sent by the server.

In some embodiments, the user browsing information includes at least one of the following: browsing duration and browsing information amount.

In some embodiments, when determining whether to recommend the related information to the user based on the user browsing information, the browsing duration is greater than or equal to a duration threshold, and/or the browsing information amount is greater than or equal to an information amount threshold , it is determined to recommend the associated information to the user; otherwise, it is determined not to recommend the associated information to the user.

In some embodiments, the device includes: a display unit 504, which is further configured to acquire location information of the pre-ordered product; and based on the location information, display the associated information below the location of the pre-ordered product.

In some embodiments, the device includes: an acquiring unit 501, which is specifically configured to start monitoring the user's browsing behavior when entering the detail page of the pre-ordered product; Stop monitoring user browsing behavior and obtain user browsing information.

In some embodiments, the association information includes at least one of the following: a link of an associated commodity, and a tag of the associated commodity.

An embodiment of the present application provides a commodity search device, which is applied to a server. FIG. 6 is a schematic diagram of the second structure of the commodity search device in the embodiment of the application. As shown in FIG. 6 , the device 60 includes:

The receiving unit 601 is configured to receive user browsing information and parameter information of the pre-purchased commodity sent by the terminal device;

Judging unit 602, configured to judge whether to recommend the associated information associated with the pre-purchased commodity to the user based on the user browsing information;

The determining unit 603 is configured to, if it is determined to recommend the associated information to the user, determine the associated information based on the parameter information and send the associated information to the terminal device.

In some embodiments, the device includes: a judging unit 602, which is specifically configured to determine that the browsing duration is greater than or equal to a duration threshold, and/or the browsing information amount is greater than or equal to an information amount threshold, determining to recommend the browsing information to the user. associated information; otherwise, it is determined not to recommend the associated information to the user.

In some embodiments, the device includes: a determining unit 603, which is specifically configured to query the matching association information from a preset database based on the parameter information.

In this way, according to the user browsing information and parameter information of the pre-purchased commodity, the relevant information associated with the pre-purchased commodity being browsed by the user is recommended to the user in real time, that is, the search result is updated in real time, and the commodity search rate is improved.

An embodiment of the present application further provides a terminal device. FIG. 7 is a schematic structural diagram of the terminal device in the embodiment of the present application. As shown in FIG. 7 , the terminal device 70 includes: a first processor 701 and a The first memory 702 of the computer program running on the processor; wherein, the first processor 701 is configured to execute the method steps in the foregoing embodiments when running the computer program.

Of course, in practical application, as shown in FIG. 7 , various components in the terminal device are coupled together through the first bus system 703 .

An embodiment of the present application further provides a server, and FIG. 8 is a schematic structural diagram of the server in an embodiment of the present application. As shown in FIG. 8 , the terminal device 80 includes: a third processor 801 and a third processor 801 configured to store data that can be stored on the processor. The third memory 802 of the running computer program; wherein, the third processor 801 is configured to execute the method steps in the foregoing embodiments when running the computer program.

Of course, in practical application, as shown in FIG. 8 , various components in the terminal device are coupled together through a third bus system 803 .

In practical applications, the above-mentioned processor may be an application specific integrated circuit (ASIC, Application Specific Integrated Circuit), a digital signal processing device (DSPD, Digital Signal Processing Device), a programmable logic device (PLD, Programmable Logic Device), a field programmable At least one of a programmable gate array (Field-Programmable Gate Array, FPGA), a controller, a microcontroller, and a microprocessor. It can be understood that, for different devices, the electronic device used to implement the above processor function may also be other, which is not specifically limited in the embodiment of the present application.

The above-mentioned memory can be a volatile memory (volatile memory), such as a random access memory (RAM, Random-Access Memory); or a non-volatile memory (non-volatile memory), such as a read-only memory (ROM, Read-Only Memory) Memory), flash memory (flash memory), hard disk (HDD, Hard Disk Drive) or solid-state drive (SSD, Solid-State Drive); or a combination of the above types of memory, and provide instructions and data to the processor.

Embodiments of the present application further provide a computer-readable storage medium for storing a computer program.

Optionally, the computer-readable storage medium can be applied to any method in the embodiments of the present application, and the computer program enables the computer to execute the corresponding processes implemented by the processor in each method of the embodiments of the present application. For brevity, It is not repeated here.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined, or Can be integrated into another system, or some features can be ignored, or not implemented. In addition, the coupling, or direct coupling, or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be electrical, mechanical or other forms. of.

The unit described above as a separate component may or may not be physically separated, and the component displayed as a unit may or may not be a physical unit, that is, it may be located in one place or distributed to multiple network units; Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

In addition, each functional unit in each embodiment of the present application may all be integrated into one processing module, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above integration The unit can be implemented either in the form of hardware or in the form of hardware plus software functional units. Those of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments can be completed by program instructions related to hardware, the aforementioned program can be stored in a computer-readable storage medium, and when the program is executed, execute Including the steps of the above method embodiment; and the aforementioned storage medium includes: a mobile storage device, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk and other various A medium on which program code can be stored.

The methods disclosed in the several method embodiments provided in this application can be arbitrarily combined under the condition of no conflict to obtain new method embodiments.

The features disclosed in the several product embodiments provided in this application can be combined arbitrarily without conflict to obtain a new product embodiment.

The features disclosed in several method or device embodiments provided in this application can be combined arbitrarily without conflict to obtain new method embodiments or device embodiments.

The above are only specific embodiments of the present application, but the protection scope of the present application is not limited to this. should be covered within the scope of protection of this application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

A commodity search method, applied to a terminal device, wherein the method includes:

Obtain and display a search result corresponding to the search information based on the commodity search information; wherein, the search result includes at least one commodity information;

Select a pre-order item from the search result, and enter the details page of the pre-order item;

Obtain user browsing information of the pre-ordered product and parameter information of the pre-ordered product;

Based on the user browsing information and parameter information of the pre-purchased commodity, the association information associated with the pre-purchased commodity is recommended to the user, and the association information is displayed.
The method according to claim 1, wherein the recommending to the user the associated information associated with the pre-purchased commodity based on user browsing information and parameter information of the pre-purchased commodity comprises:

Sending the user browsing information and parameter information to the server, so that the server determines whether to recommend the associated information to the user based on the user browsing information;

If the server determines to recommend the association information to the user, the association information determined by the server based on the parameter information is received.
The method according to claim 1, wherein the recommending to the user the associated information associated with the pre-purchased commodity based on user browsing information and parameter information of the pre-purchased commodity comprises:

Determine whether to recommend the associated information to the user based on the user browsing information;

If it is determined that the association information is recommended to the user, sending the parameter information to the server, so that the server determines the association information based on the parameter information;

The association information sent by the server is received.
The method according to claim 2 or 3, wherein,

The user browsing information includes at least one of the following: browsing duration and browsing information amount.
The method according to claim 4, wherein the determining whether to recommend the associated information to the user based on the user browsing information comprises:

When the browsing duration is greater than or equal to the duration threshold, and/or the browsing information amount is greater than or equal to the information amount threshold, it is determined to recommend the associated information to the user;

Otherwise, it is determined not to recommend the associated information to the user.
The method of claim 1, wherein the displaying the associated information comprises:

Obtain the location information of the pre-ordered product;

Based on the location information, the associated information is displayed below the location of the pre-ordered item.
The method according to claim 1, wherein the acquiring user browsing information of the pre-purchased commodity comprises:

When it is detected that the detail page of the pre-ordered product is entered, start monitoring the user's browsing behavior;

When it is detected that the detail page of the pre-ordered product is exited, the monitoring of the user's browsing behavior is stopped, and the user's browsing information is obtained.
The method according to claim 1, wherein the association information includes at least one of the following: a link of an associated commodity, and a tag of the associated commodity.
A commodity search method, applied to a server, wherein the method comprises:

Receive user browsing information and parameter information of pre-purchased commodities sent by terminal equipment;

Based on the user browsing information, determine whether to recommend the associated information associated with the pre-ordered product to the user;

If it is determined that the associated information is recommended to the user, the associated information is determined based on the parameter information and sent to the terminal device.
The method according to claim 9, wherein the user browsing information includes at least one of the following: browsing duration and browsing information amount.
The method according to claim 10, wherein the judging based on the user browsing information whether to recommend the associated information associated with the pre-purchased commodity to the user comprises:

When the browsing duration is greater than or equal to the duration threshold, and/or the browsing information amount is greater than or equal to the information amount threshold, it is determined to recommend the associated information to the user;

Otherwise, it is determined not to recommend the associated information to the user.
The method according to claim 9, wherein the determining the association information based on the parameter information comprises:

Based on the parameter information, the matching associated information is queried from a preset database.
The method according to any one of claims 9 to 12, wherein the association information includes at least one of the following: a link of an associated commodity and a label of the associated commodity.
A commodity search device, applied to terminal equipment, wherein the device includes:

an acquisition unit, configured to acquire and display a search result corresponding to the search information based on the commodity search information; wherein, the search result includes at least one piece of commodity information;

a selection unit, configured to select a pre-ordered commodity from the search result, and enter a detail page of the pre-ordered commodity;

the obtaining unit, configured to obtain user browsing information of the pre-ordered product and parameter information of the pre-ordered product;

a recommending unit, configured to recommend associated information associated with the pre-purchased commodity to the user based on user browsing information and parameter information of the pre-purchased commodity;

A display unit configured to display the associated information.
A commodity search device, applied to a server, wherein the device includes:

a receiving unit, configured to receive user browsing information and parameter information of the pre-purchased commodities sent by the terminal device;

a judging unit, configured to judge, based on the user browsing information, whether to recommend the associated information associated with the pre-ordered commodity to the user;

A determining unit, configured to determine the associated information based on the parameter information and send the associated information to the terminal device if it is determined to recommend the associated information to the user.
A terminal device, wherein the terminal device comprises: a processor and a memory configured to store a computer program executable on the processor,

Wherein, the processor is configured to execute the steps of the method of any one of claims 1 to 8 when running the computer program.
A server, wherein the server includes a processor and a memory configured to store a computer program executable on the processor,

Wherein, the processor is configured to execute the steps of the method of any one of claims 9 to 13 when running the computer program.
A computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the method of any one of claims 1 to 13.