CN111028056A - Data processing method for near-article recommendation - Google Patents
Data processing method for near-article recommendation Download PDFInfo
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- CN111028056A CN111028056A CN201911257362.8A CN201911257362A CN111028056A CN 111028056 A CN111028056 A CN 111028056A CN 201911257362 A CN201911257362 A CN 201911257362A CN 111028056 A CN111028056 A CN 111028056A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
Abstract
The embodiment of the invention relates to a data processing method for recommending a near commodity, which comprises the steps that a user terminal receives a query instruction, generates a query message and sends the query message to a promotion server, and the promotion server sends first commodity promotion information to the user terminal according to query field information; the user terminal receives the commodity detail query instruction and acquires first commodity detail data from the operation server to output the first commodity detail data as a first commodity detail page; the user terminal receives a consultation instruction through the first commodity detail page and sends the consultation instruction to the operation server; the operation server obtains one or more pieces of near goods information according to the goods type information of the first goods information; searching dealer information of the first commodity and the near commodity from the dealer information data list; the operation server generates consultation display data according to the first commodity information, the near commodity information and the dealer information and sends the consultation display data to the user terminal, and the user terminal determines the display state of the near commodity information in the consultation display page according to the consultation frequency information of the near commodity information.
Description
Technical Field
The invention relates to the field of data processing, in particular to a data processing method for near goods recommendation.
Background
With the proliferation of internet technology in recent years, especially with the development of mobile internet technology, mobile terminals such as mobile phones and PADs have become a main tool for people to consult communication. More and more commodity manufacturers and distributors utilize the advantages of rapidness, high efficiency and convenience of the Internet to popularize commodities and collect user information on the Internet in modes of searching bid price, website advertisement, soft text propaganda, network video advertisement, time marketing, blog propaganda, forum popularization, software popularization, E-mail marketing, public praise propaganda, friendship link and the like, and the popularization method and the user information collection method thereof are rapidly changed and updated along with the development of the Internet.
In the prior art, the website advertisement mode is continuously updated along with the development of the industry, and the information of the user is collected by utilizing the mode that the user fills in the personal information in the website, so that the efficiency of knowing the customer requirements of the merchant is greatly improved. However, since the user does not know the same kind of goods of the required goods comprehensively, the kinds of goods actively inquired through the network are limited, and many goods of the same kind cannot get the chance to be known by the user, the speed of promoting the popularity is slow. When a user inquires about an intended commodity, the user mainly consults the designated commodity, so that the user lacks the opportunity of knowing similar products, and the user cannot consult the similar commodities of the designated commodity in detail.
Disclosure of Invention
Aiming at the defects of the prior art, the embodiment of the invention aims to provide a data processing method for near commodity recommendation, which recommends commodities of the same type to a user through intention commodity information collected by the user when the user inquires specified commodities, provides a way for the user to further know the commodities of the same type, achieves the purposes of providing the user with the opportunity of comprehensively knowing various commodities of the same type and simultaneously collecting user information for dealers of the commodities of the same type. Finally, the purposes of fully meeting the user requirements and improving the popularity and the volume of the commodities of the same type are achieved.
In order to achieve the above object, an embodiment of the present invention provides a data processing method for near goods recommendation, including:
the user terminal receives the query instruction, generates a query message and sends the query message to the promotion server; wherein the query message includes query field information and a terminal ID of the user terminal;
the promotion server analyzes the query message, matches the query field information obtained by analysis in a commodity promotion information data list, obtains first commodity promotion information matched with the query field information based on platform decision information, and sends the first commodity promotion information to the user terminal; the first commodity promotion information comprises commodity information of a first commodity; the commodity information further comprises commodity type information and consultation frequency information;
the user terminal receives a commodity detail query instruction input by a user according to the display information of the first commodity promotion information and sends the commodity detail query instruction to an operation server; the commodity detail query instruction comprises first commodity information;
the operation server analyzes the commodity detail query instruction, and sends first commodity detail data to the user terminal according to the first commodity information to output a first commodity detail page; the first commodity detail data comprises the first commodity information and information acquisition control data;
the user terminal receives a consultation instruction through the first commodity detail page and sends the consultation instruction to the operation server; wherein the advisory instructions include user information;
the operation server matches commodity information data in a commodity information data list according to the commodity type information of the first commodity information to obtain one or more pieces of near commodity information;
the operation server searches dealer information in a dealer information data list according to the first commodity information and the near commodity information to obtain one or more dealer information for dealership of the first commodity and the near commodity; the dealer information comprises dealer ID, information of dealer name and information of dealer address;
the operation server generates consultation display data according to the first commodity information, the near commodity information and the dealer information and sends the consultation display data to the user terminal;
the user terminal analyzes the consultation display data to obtain first commodity information, the near commodity information and the dealer information;
the user terminal determines the display state of the near item information in a consultation display page according to the consultation frequency information of the near item information; the consultation display page comprises the first commodity information display content, the near commodity information display content and the dealer information display content.
Preferably, the determining, by the user terminal according to the consultation frequency information of the near article information, the display state of the near article in a consultation display page specifically includes:
the user terminal judges whether the consultation times are greater than a preset threshold value;
when the consultation times are larger than a preset threshold value, setting the display state of the near article information to be a selected state; and when the consultation times are less than or equal to a preset threshold value, setting the display state of the near article information to be in an unselected state.
Preferably, the method further comprises:
the user terminal receives a dealer selection instruction;
and the user terminal changes the display state of the first dealer according to the dealer selection instruction and the display state of the first dealer.
Further preferably, the step of changing, by the user terminal, the display status of the first dealer according to the dealer selection instruction and the display status of the first dealer specifically includes:
changing the display status to a non-selected status when the display status of the first dealer is a selected status; changing the display status to a selected status when the display status of the first dealer is an unselected status.
Preferably, the method further comprises:
the user terminal receives a near article selection instruction;
and the user terminal changes the display state of the first near article according to the near article selection instruction and the display state of the first near article.
Further preferably, the changing, by the user terminal, the display state of the first near item according to the near item selection instruction and the display state of the first near item specifically includes:
when the display state of the first near article is the selected state, changing the display state into the unselected state; and when the display state of the first near article is in the unselected state, changing the display state into the selected state.
Preferably, the method further comprises:
the user terminal receives a consultation confirmation instruction;
the user terminal determines the near-article information with the display state being the selected state as the consultation near-article information;
the user terminal determines the dealer information with the display state of the selected state as consultation dealer information;
the user terminal generates a consultation request instruction according to the first commodity information, the consultation near-item information, the consultation dealer information and the user information;
and the user terminal sends the consultation request instruction to the operation server.
Further preferably, the method further comprises:
the operation server analyzes the consultation request instruction to obtain the first commodity information, the consultation near-item information, the consultation dealer information and the user information;
the operation server generates consultation demand data according to the first commodity information, the consultation near-item information and the user information;
and the operation service sends the consultation demand data to a distributor terminal corresponding to the consultation distributor.
Further preferably, the method further comprises:
the operation server analyzes the consultation request instruction to obtain the information of the consultation near-articles;
and the operation server searches the commodity data information in the commodity information data list to obtain second commodity information which is the same as the information of the consultation near-end commodity.
And the operation server adds one to the value of the consultation frequency information of the second commodity information and updates the consultation frequency information of the second commodity information.
Preferably, the matching, by the operation server, of the commodity type information of the first commodity information with the commodity information data in a commodity information data list to obtain one or more pieces of near commodity information specifically includes:
the operation server compares the commodity type information with the commodity type information of each piece of third commodity information in a commodity information data list;
and when the commodity type information is the same as that of the third commodity information, determining the third commodity information as near commodity information.
According to the data processing method for recommending the near goods, provided by the embodiment of the invention, when the user inquires the information of the specified goods in the promotion website, the goods advertisement display is provided for the user, so that the user can conveniently know the information of the goods. And when the user needs to know the detailed information of the specified commodity, the user information is collected, and when the user needs to further know the information of the specified commodity, the same type of commodity of the specified commodity is recommended for the user, and meanwhile, a detailed consultation way of the same type of commodity is provided. In addition, the method provided by the embodiment of the invention can also collect the consultation demand data of the users on the same type of commodities, so that the dealers of the same type of commodities can know the user demand through the consultation demand data, provide services for the users, and finally fully meet the user demand and simultaneously improve the popularity and the volume of the same type of commodities.
Drawings
Fig. 1 is a flowchart of a data processing method for recommending a near-end good according to an embodiment of the present invention.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be further noted that, for the convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
The promotion server in the following embodiments refers to a server that provides a promotion platform of an advertisement information publishing platform for a commodity, the promotion platform provides a query service for a user, and when the user searches for a keyword in a promotion website or a promotion application of the promotion platform, the promotion server pushes advertisement information of a specified commodity for the user.
The operation server is a server of a service provider who provides a service to a dealer of the product.
The first commodity information is commodity information of a first commodity;
the near commodity is a commodity which is the same type as the first commodity and has similar or similar characteristics with the first commodity; the near commodity information is commodity information of near commodities which are of the same type as the first commodity and have characteristics similar or similar to the first commodity.
The invention discloses a data processing method for near goods recommendation. Fig. 1 is a flowchart of a data processing method for recommending a near-end good according to an embodiment of the present invention. As shown, the method comprises the following steps:
Specifically, a user opens a webpage or an Application (APP) of a promoted website using a user terminal, and inputs query field information of a query in an input box of the webpage or the Application of the promoted website, such as: "brand a of merchandise", "brand a of merchandise a1 model", "brand B of merchandise B1 model green", etc., and confirms the search, which is regarded as the user terminal receiving the query instruction. Or in another case, the operation of opening the webpage or the application program of the promotion website by the user is regarded as that the user terminal receives the query instruction, and the query field information is empty at the moment. The user terminal generates a first query message according to query field information input by user search and the terminal ID of the user terminal. In the embodiment of the present invention, the user terminal may be a communication terminal such as a mobile phone, a tablet computer (PAD), and the like. The first query message includes query field information and a terminal ID of the user terminal.
And 102, the promotion server analyzes the query message, matches the query field information obtained by analysis in a commodity promotion information data list, obtains first commodity promotion information matched with the query field information based on platform decision information, and sends the first commodity promotion information to the user terminal.
The step is that the promotion server determines the commodity information which needs to be pushed to the user according to the query field information carried in the query message. The method comprises the following specific steps:
first, the promotion server receives a first query message, analyzes the first query message, and obtains query field information and a terminal ID of a user terminal.
Secondly, the promotion server searches the commodity promotion information in the commodity promotion information data list to obtain a plurality of selectable commodity promotion information matched with the query field information. The commodity promotion information data is advertisement information data put into a promotion website by a service provider or a distributor of each commodity. The commodity promotion information data comprises commodity characteristic keyword information related to the characteristics of the commodities. And the promotion server matches the query field information obtained by analyzing the query message with the commodity characteristic keyword information in the commodity promotion information data, and takes one or more successfully matched commodity promotion information data as selectable commodity promotion information. That is, the selectable goods promotion information includes one or more goods promotion information data matched with the query field information in the first query message. It should be particularly noted that, when the query field information obtained by analyzing the query message is empty, the promotion server does not search the commodity promotion information data list, and directly uses all the commodity promotion information data in the commodity promotion information data list as selectable commodity promotion information.
And thirdly, the operation server further matches the selectable commodity promotion information based on the platform decision information to determine the first commodity promotion information. The promotion server may be used to perform big data analysis on the user information and the promotion information corresponding to the terminal ID of the user, and confirm that one selectable commodity promotion information is the first commodity promotion information. The platform decision information can be based on user preference, user crowd positioning or a preset popularization principle of a popularization server and the like. In one example, the promotion server searches a search record and a browsing record corresponding to the user terminal ID in the stored user data according to the terminal ID of the user terminal, or locates the crowd of the user through other data information related to the terminal ID of the user and stored by the promotion server. For example: and determining the data of hobbies, consumption levels and the like of the user through big data analysis. And then, the promotion server analyzes the promotion rule of the promotion server, for example, preferably selecting a promotion service provider with high payment, or preferably releasing a commodity with large browsing amount, and the like. Of course, other generalizations are possible. Then, the promotion server integrates the crowd positioning of the user and the priority principle of the promotion website, and determines promotion commodity information from the selectable commodity promotion information as first commodity promotion information.
And finally, the promotion server sends the first commodity promotion information to the user terminal. The first commodity promotion information is determined, and the corresponding first commodity is determined. That is, the first commodity promotion information includes the first commodity information. The first commodity information is commodity information of a specified commodity, and the commodity information further comprises a plurality of items of specific information data such as commodity type information and consultation frequency information.
And 103, receiving a commodity detail query instruction input by the user according to the display information of the first commodity promotion information by the user terminal, and sending the commodity detail query instruction to the operation server.
Specifically, after receiving the first commodity promotion information, the user terminal displays and outputs the first commodity promotion information on a display screen of the user terminal according to the displayed style. If the first commodity popularization information seen by the user is interested in the commodity, and the user wants to know the first commodity in detail, the user can select and input the first commodity popularization information display area of the display screen, and the selected input is regarded as a commodity detail query instruction received by the user terminal. And the user terminal sends the received detail inquiry instruction to the operation server. The commodity detail query instruction comprises first commodity information.
And 104, the operation server analyzes the commodity detail query instruction, and sends first commodity detail data to the user terminal according to the first commodity information so as to output a first commodity detail page.
Specifically, the operation server analyzes the commodity detail query instruction to obtain the first commodity information. The operator server stores a commodity detail information list in a database, wherein the commodity detail information list comprises commodity detail information data of each commodity. And the operator server searches the commodity detail data in the commodity detail information list according to the first commodity information to obtain first commodity detail information data corresponding to the first commodity information. Then, the operation server transmits the first product detail information data to the user terminal. The first commodity detail data comprises first commodity information and information acquisition control data.
The user terminal analyzes the received first commodity detail data to obtain first commodity information and information acquisition control data, generates display information of the first commodity detail, and outputs the display information through a user interaction interface, wherein the display information comprises a user information acquisition area output according to the information acquisition control data. That is, the user terminal outputs the first item detail page.
And 105, the user terminal receives the consultation instruction through the first commodity detail page and sends the consultation instruction to the operation server.
Specifically, when the user wants to consult the conditions of the price of the commodity, the commodity sales promotion activity, the specific detail characteristics of the commodity, the distributor activity, the detailed address of the distributor and the like, the user information can be input through the user information acquisition area of the first commodity detail page. The user information comprises a mobile phone number of the user. The user information may also include other information such as the user's name, depending on the content entered by the user. After the user inputs the user information, the consultation confirmation area on the user interaction interface can be clicked, the consultation confirmation area can be a clickable area or a button which has a prompt for the user, and the user terminal generates a consultation instruction and sends the consultation instruction to the operation server when receiving the click operation of the area. Wherein the counseling instruction includes user information.
And 106, the operation server matches the commodity information data in the commodity information data list according to the first commodity information to obtain one or more pieces of near commodity information.
Specifically, the near commodity information is commodity information of a similar commodity having the same or similar characteristics as the first commodity. The operation server matches the commodity information data in the commodity information data list according to the specific one or more information contents of the first commodity information, and the operation server analyzes, calculates and matches the commodity information data according to a preset matching method to obtain one or more pieces of near commodity information.
In a preferred scheme of the embodiment of the present invention, the first commodity information includes commodity type information, and the operation server compares the commodity type information with commodity type information of each third commodity information in the commodity information data list; and when the commodity type information is the same as that of the third commodity information, determining the third commodity information as the near commodity information. For example, in a specific example of an automobile, the first product is an a automobile, and the product information includes the size of the a product, the product type of the a product is SUV, the color of the a product is red, the brand of the a product is brand X, and the like. Then the operation server searches the automobile information data in the automobile information data list according to the commodity type of the commodity A, compares the commodity type SUV of the automobile A with the commodity types in the automobile information data in the commodity information data list, and obtains a plurality of near-article automobile information data of which the commodity types are also SUVs. And taking the matched one or more pieces of automobile information data as one or more pieces of near goods information.
The operation service can also compare and match other specific one or more information contents of the first commodity information with specific one or more information contents of each commodity information data in the commodity information data list, match according to a preset matching method in the matching process, and finally determine one or more pieces of near commodity information. For example, in a specific example in the embodiment of the present invention, the operation server performs matching between the product type information of the first product information and each product information data in the product information data list to obtain a plurality of selectable product information data that are the same as or similar to the product type information of the first product, and then performs matching between the size information of the first product and each product information data in the selectable product information data to obtain one or more first selectable product information data that are the same as or similar to the size of the first product information. For example, the length, width, and height of the product are compared, and product information of a product satisfying a set threshold range with respect to the length, width, and height of the first product is found and used as the first selectable product information data. In this way, the operation service determines, according to the specific one or more information contents of the first commodity information, one or more commodity information data similar to the first commodity information to be finally determined as the near commodity information.
In a preferred embodiment of the present invention, the operation server has a commodity relation data, where commodity information of all similar commodities corresponding to each commodity information, that is, information of a near commodity, such as a near commodity ID or a near commodity name, is stored. The operation server may search the commodity information in the commodity relation data list according to the first commodity information to obtain information of a near commodity similar to the first commodity, for example, a commodity name of the near commodity, and then find the commodity information of the near commodity in the commodity information data list according to the commodity name of the near commodity. Because the information of one or more similar commodities of each commodity is stored in the commodity relation data, the information of one or more commodities similar to the first commodity can be found out through the relation data, and one or more items of near commodity information can be found out in the commodity information data list through the information of a plurality of similar commodities.
In another preferable scheme of the embodiment of the present invention, the operation server may further perform image matching according to the picture data information of the first commodity and the picture information of each commodity information in the commodity data list, obtain commodity information of one or more commodities having an appearance similar to that of the first commodity, and determine one or more pieces of near commodity information having a higher similarity.
Specifically, the operation server stores a dealer information data list, and records the information of the commodity sold in the list. The operation server can find one or more pieces of first dealer information for dealership of the first commodity in the dealer information data list according to the first commodity information. The first dealer is a merchant that deals the first item. The operation server can find one or more pieces of first near goods dealer information for dealership of the first near goods in the dealer information data list according to each piece of first near goods information. The first near goods dealer is the merchant who deals the first near goods. And each found first dealer information and each first near goods dealer are specifically dealer information. The dealer information includes dealer ID, information of the name of the dealer, and information of the address of the dealer.
And step 108, the operation server generates consultation display data according to the first commodity information, the near commodity information and the dealer information and sends the consultation display data to the user terminal.
Specifically, the operation server generates consultation display data according to the first commodity information, the near commodity information and the dealer information. And then transmits the consultation display data to the user terminal.
And step 109, the user terminal analyzes the consultation display data to obtain first commodity information, near commodity information and dealer information.
Specifically, the user terminal analyzes the consultation display data to obtain the first commodity information, one or more near commodity information and a plurality of dealer information for selling the first commodity or the near commodity.
And step 110, the user terminal determines the display state of the near goods in the consultation display page according to the consultation frequency information of the near goods information.
Specifically, the user terminal outputs the display content corresponding to the first commodity and the near commodity information in the commodity display area of the interactive interface according to the preset display format, and simultaneously outputs the display content corresponding to the first dealer in the dealer display area of the interactive interface. That is, the consultation presentation page includes an article display area and a dealer display area.
When the user terminal displays the display content corresponding to the near article information, the user terminal judges the consultation frequency information of each near article information and determines the display state of the near article information according to the judgment result.
In the preferred scheme of the embodiment of the invention, the user terminal judges whether the number of times of consultation is greater than a preset threshold value, sets the display state of the near-object information to be a selected state when the number of times of consultation is greater than the preset threshold value, and sets the display state of the near-object information to be an unselected state when the number of times of consultation is less than or equal to the preset threshold value.
The preset threshold is a value stored in the user terminal, and the value may be a default fixed value stored in the user terminal or may be obtained from the operation server in a dynamic obtaining manner. For example, in a specific example of the embodiment of the present invention, when the consultation display data is obtained in step 108, the operation server carries a preset threshold in the consultation display data, and the user terminal obtains the preset threshold by analyzing the consultation display data and stores the preset threshold in the user terminal. Of course, it may also be that the preset threshold data is sent to the user terminal through the operation server when the user terminal first connects to the operation server.
When the user is interested in one or more recommended near items in the one or more recommended near item information and needs to further understand the one or more recommended near item information, or the user is not interested in the near item information in one selected state of which the display state is the selected state, the user can change the selection state of the near item information by clicking the display area of the near item information or operating the display area of the near item information in a key input mode of the user terminal or the like.
In a preferred scheme of the embodiment of the invention, the user terminal receives the near article selection instruction, and the user terminal changes the display state of the first near article according to the near article selection instruction and the display state of the first near article.
Before the user terminal receives the near article selection instruction, the display state of some near article information is the selected state, and the display state of the other near article information is the selected state, so when the user terminal receives the near article selection instruction, the user terminal needs to select or cancel the near article information which needs to be changed according to the selection requirement. In an optional scheme of the invention, when the display state of the first near article is a selected state, the display state is changed into an unselected state; and when the display state of the first near article is in the unselected state, changing the display state into the selected state.
The user can also select or cancel interested dealers according to the requirements. In a preferred aspect of the embodiment of the present invention, the user terminal receives the dealer selection instruction, and changes the display status of the first dealer according to the dealer selection instruction and the display status of the first dealer. Specifically, when the display state of the first dealer is the selected state, the display state may be changed to the unselected state; when the display status of the first dealer is the unselected status, the display status is changed to the selected status.
After the user selects the interested dealer and the information of the near goods, the consultation confirmation can be carried out by clicking the consultation confirmation area which is provided with the prompt for the user on the interactive page of the user terminal or carrying out the confirmation operation through pressing a key, and the operation is regarded as that the user terminal receives a consultation confirmation instruction. In an optional scheme of the embodiment of the invention, the confirmation of the user consultation is completed through the following steps:
first, the user terminal receives a consultation confirmation instruction.
And secondly, the user terminal determines the near-item information with the display state being the selected state as the consultation near-item information.
And thirdly, the user terminal determines the dealer information displayed in the selected state as the consultation dealer information.
And finally, the user terminal generates a consultation request instruction according to the first commodity information, the consultation close-up commodity information, the consultation dealer information and the user information, and sends the consultation request instruction to the operation server.
And the operation server analyzes the received consultation request instruction and processes the consultation request instruction according to the information. In a preferred version of the embodiment of the present invention, the processing step comprises:
firstly, the operation server analyzes the consultation request instruction to obtain first commodity information, consultation close-up commodity information, consultation dealer information and user information.
And secondly, the operation server generates consultation demand data according to the first commodity information, the consultation near-item information and the user information.
And finally, the operation service sends the consultation demand data to the dealer terminal corresponding to the consultation dealer.
Through the steps, the dealer can receive the consultation demand data, can obtain user information such as the mobile phone number of the user through consultation data analysis, and can actively contact the user to provide consultation service for the user.
In another preferred scheme of the embodiment of the present invention, the operation server analyzes the consultation request instruction, and performs data update on the consultation frequency information corresponding to the commodity information data in the commodity information data list according to the obtained consultation close-up commodity information. The method comprises the following specific steps: and the operation server analyzes the consultation request instruction to obtain the information of the consultation close article. The operation server searches the commodity data information in the commodity information data list to obtain second commodity information which is the same as the information of the consultation close article. The operation server adds one to the value of the consultation frequency information of the second commodity information and updates the consultation frequency information of the second commodity information.
According to the data processing method for recommending the near goods, provided by the embodiment of the invention, when the user inquires the information of the specified goods in the promotion website, the goods advertisement display is provided for the user, so that the user can conveniently know the information of the goods. And when the user needs to know the detailed information of the specified commodity, the user information is collected, and when the user needs to further know the information of the specified commodity, similar commodities of the same type of the specified commodity are recommended for the user, and meanwhile, a detailed consultation way of the similar commodities is provided. In addition, the method provided by the embodiment of the invention can also collect the consultation demand data of the user on similar near-end products, so that a dealer selling the near-end products can also know the user demand through the consultation demand data, provide service for the user, and finally achieve the purposes of fully meeting the user demand and improving the popularity and the volume of the similar near-end products.
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, a software module executed by a processor, or a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The above embodiments are provided to further explain the objects, technical solutions and advantages of the present invention in detail, it should be understood that the above embodiments are merely exemplary embodiments of the present invention and are not intended to limit the scope of the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A data processing method for near goods recommendation, the data processing method comprising:
the user terminal receives the query instruction, generates a query message and sends the query message to the promotion server; wherein the query message includes query field information and a terminal ID of the user terminal;
the promotion server analyzes the query message, matches the query field information obtained by analysis in a commodity promotion information data list, obtains first commodity promotion information matched with the query field information based on platform decision information, and sends the first commodity promotion information to the user terminal; the first commodity promotion information comprises commodity information of a first commodity; the commodity information further comprises commodity type information and consultation frequency information;
the user terminal receives a commodity detail query instruction input by a user according to the display information of the first commodity promotion information and sends the commodity detail query instruction to an operation server; the commodity detail query instruction comprises first commodity information;
the operation server analyzes the commodity detail query instruction, and sends first commodity detail data to the user terminal according to the first commodity information to output a first commodity detail page; the first commodity detail data comprises the first commodity information and information acquisition control data;
the user terminal receives a consultation instruction through the first commodity detail page and sends the consultation instruction to the operation server; wherein the advisory instructions include user information;
the operation server matches commodity information data in a commodity information data list according to the commodity type information of the first commodity information to obtain one or more pieces of near commodity information;
the operation server searches dealer information in a dealer information data list according to the first commodity information and the near commodity information to obtain one or more dealer information for dealership of the first commodity and the near commodity; the dealer information comprises dealer ID, information of dealer name and information of dealer address;
the operation server generates consultation display data according to the first commodity information, the near commodity information and the dealer information and sends the consultation display data to the user terminal;
the user terminal analyzes the consultation display data to obtain first commodity information, the near commodity information and the dealer information;
the user terminal determines the display state of the near item information in a consultation display page according to the consultation frequency information of the near item information; the consultation display page comprises the first commodity information display content, the near commodity information display content and the dealer information display content.
2. The data processing method for near material recommendation according to claim 1, wherein the determining, by the user terminal according to the consultation frequency information of the near material information, the display state of the near material in a consultation display page specifically includes:
the user terminal judges whether the consultation times are greater than a preset threshold value;
when the consultation times are larger than a preset threshold value, setting the display state of the near article information to be a selected state; and when the consultation times are less than or equal to a preset threshold value, setting the display state of the near article information to be in an unselected state.
3. The data processing method for near good recommendation according to claim 1, further comprising:
the user terminal receives a dealer selection instruction;
and the user terminal changes the display state of the first dealer according to the dealer selection instruction and the display state of the first dealer.
4. The data processing method for near goods recommendation of claim 3, wherein the changing, by the user terminal, the display status of the first dealer according to the dealer selection instruction and the display status of the first dealer is specifically:
changing the display status to a non-selected status when the display status of the first dealer is a selected status; changing the display status to a selected status when the display status of the first dealer is an unselected status.
5. The data processing method for near good recommendation according to claim 1, further comprising:
the user terminal receives a near article selection instruction;
and the user terminal changes the display state of the first near article according to the near article selection instruction and the display state of the first near article.
6. The data processing method for near material recommendation according to claim 5, wherein the changing, by the user terminal, the display state of the first near material according to the near material selection instruction and the display state of the first near material specifically comprises:
when the display state of the first near article is the selected state, changing the display state into the unselected state; and when the display state of the first near article is in the unselected state, changing the display state into the selected state.
7. The data analysis method for near good recommendation according to claim 1, further comprising:
the user terminal receives a consultation confirmation instruction;
the user terminal determines the near-article information with the display state being the selected state as the consultation near-article information;
the user terminal determines the dealer information with the display state of the selected state as consultation dealer information;
the user terminal generates a consultation request instruction according to the first commodity information, the consultation near-item information, the consultation dealer information and the user information;
and the user terminal sends the consultation request instruction to the operation server.
8. The data analysis method for near good recommendation according to claim 7, further comprising:
the operation server analyzes the consultation request instruction to obtain the first commodity information, the consultation near-item information, the consultation dealer information and the user information;
the operation server generates consultation demand data according to the first commodity information, the consultation near-item information and the user information;
and the operation service sends the consultation demand data to a distributor terminal corresponding to the consultation distributor.
9. The data processing method for near good recommendation according to claim 7, further comprising:
the operation server analyzes the consultation request instruction to obtain the information of the consultation near-articles;
and the operation server searches the commodity data information in the commodity information data list to obtain second commodity information which is the same as the information of the consultation near-end commodity.
And the operation server adds one to the value of the consultation frequency information of the second commodity information and updates the consultation frequency information of the second commodity information.
10. The data processing method for near item recommendation according to claim 1, wherein the matching of the commodity information data in a commodity information data list by the operation server according to the commodity type information of the first commodity information specifically comprises:
the operation server compares the commodity type information with the commodity type information of each piece of third commodity information in a commodity information data list;
and when the commodity type information is the same as that of the third commodity information, determining the third commodity information as near commodity information.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911257362.8A CN111028056A (en) | 2019-12-10 | 2019-12-10 | Data processing method for near-article recommendation |
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| CN201911257362.8A CN111028056A (en) | 2019-12-10 | 2019-12-10 | Data processing method for near-article recommendation |
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