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Information recommendation method and apparatus

A technology for information recommendation and business information, applied in the field of information processing, can solve the problems of inaccurate information recommendation results, information recommendation results that do not fully meet the actual needs of users, etc., to achieve the effect of improving accuracy

Inactive Publication Date: 2016-09-28
NUBIA TECHNOLOGY CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, using the above method to recommend information to users only considers the user's interests and hobbies without making full use of statistical data resources, and the information recommendation results may not fully meet the actual needs of users, resulting in inaccurate information recommendation results

Method used

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  • Information recommendation method and apparatus
  • Information recommendation method and apparatus
  • Information recommendation method and apparatus

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] figure 2 A schematic flowchart of Embodiment 1 of the information recommendation method provided by the present invention, as shown in figure 2 As shown, the method includes:

[0054] Step 101: When it is determined that the current user has historical data, obtain the user's historical business information;

[0055] Wherein, the historical service information includes: interest information and service information corresponding to the interest information.

[0056] In this step, after the current user logs in to the e-commerce website, the background server of the website searches whether there is any historical data of the user based on the current account information, such as the type and amount of products purchased or collected, and based on the historical data, Analyze and organize the user's historical data, so as to obtain the user's historical business information.

[0057] Among them, obtaining the user's historical business information includes:

[0058]...

Embodiment 2

[0072] Further, on the basis of Embodiment 1, selecting the first information that meets the preset matching rules from the information base according to the interest information and the service information corresponding to the interest information includes:

[0073] According to the interest type in the interest information and the average business amount in the business information corresponding to the interest type, select from the information base that the interest type is the same as the user's interest type, and the average business amount is at the The first information within a preset threshold range.

[0074] Specifically, according to the interest type in the above interest information and the average business information in the business information corresponding to the interest type, a matching rule is set to select information from the information base for recommendation, that is, to select the interest type from the information base and the user's interest The fir...

Embodiment 3

[0077] On the basis of the foregoing embodiments, the method further includes:

[0078] Collect and analyze the business data of each information in each region within the preset time;

[0079] Generate a business detail database according to the business data;

[0080] According to the login information of the user, the geographic location information of the user is acquired.

[0081] Specifically, this part conducts data analysis on business data, analyzes and counts detailed business conditions within a preset period, including weekly browsing, ordering, payment quantity, and order payment amount for each information in each region (province) , the number of users, etc., establish a business details database, and store the business details in the database. Wherein, the preset time is set according to system performance and user requirements, and will not be repeated here. The specific business volume statistics process is as follows: image 3 as shown, image 3 Schemat...

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PUM

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Abstract

An embodiment of the invention discloses an information recommendation method. The method comprises the steps of obtaining historical business information of a user when determining that historical data of the current user exists, wherein the historical business information includes interest information and business information corresponding to the interest information; and selecting first information which meets a preset matching rule from an information library according to the interest information and the business information corresponding to the interest information, and recommending the first information to the user. An embodiment of the invention furthermore discloses an information recommendation apparatus. According to the information recommendation method provided by the invention, the information can be directionally recommended according to the interest and business of the user.

Description

technical field [0001] The present invention relates to information processing technology, in particular to an information recommendation method and device. Background technique [0002] In an e-commerce website, certain information is often recommended on the website page, attracting users to view the recommended information while browsing the website page, and then purchase corresponding products, so as to increase the product sales of the website. [0003] At present, the main information recommendation method is: analyzing the user's hobbies according to the user's historical data, and recommending information corresponding to or similar to the user's hobbies to the user according to the user's hobbies. [0004] However, using the above method to recommend information to users only considers the user's interests and hobbies without making full use of statistical data resources, and the information recommendation results may not fully meet the actual needs of users, resul...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 李舜安
Owner NUBIA TECHNOLOGY CO LTD