Product recommending system and method

A technology for recommending methods and products, applied in special data processing applications, instruments, electrical digital data processing, etc., and can solve problems such as the lack of time analysis in collaborative filtering systems

Inactive Publication Date: 2014-09-03
SHENZHEN SHENGXUNDA TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the user's preference is not static. As time goes by, the user's current demand preference and previous demand preference may change. That is to say, the common collaborative filtering system fails to analyze time as an important reference attribute.

Method used

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  • Product recommending system and method
  • Product recommending system and method

Examples

Experimental program
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Embodiment Construction

[0012] Such as figure 1 Shown is the application environment diagram of the product recommendation system of the present invention. The product recommendation system 26 is implemented in a server 2 with a display screen 20 and an input device 22 . The display screen 20 may be a display device such as a liquid crystal display, an LED display, an OLED display, or a plasma display. The input device 22 may be an input device such as a keyboard. The server 2 also includes a memory 24 and a processor 28 connected by data lines or signal lines. It should be noted, figure 1 It is only a schematic illustration of the software structure and hardware structure of the server 2, and the server 2 also includes other necessary electronic components and system software, which will not be repeated here.

[0013] The product recommendation system 26 is stored in the memory 24 of the server 2, and is used to analyze the timeliness of the extracted user data, gradually reduce the weight value...

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Abstract

The invention discloses a product recommending system and method. The method includes the steps that a specified user label of a current user is extracted successively; a matched product of the specified user label is obtained successively; the weighted proportion of all the user labels of the current user and the weighted proportion of all product labels of the matched product are acquired; one user label is read successively from all the user labels; if the read user labels exist in the product labels, the matching rate of the read user label is calculated; the matching rates of all the read user labels are added, so that the matching rate of the matched product is acquired; when the matching rates of all the matched products of the specified user label are calculated, the next specified user label is extracted; when all the specified user labels are calculated, the final matching rates of all the matched products are figured out; a specified number of matched products are selected to be recommended to user equipment according to the final matching rates of all the matched products. By means of the product recommending system and method, accurate product recommendation information can be acquired.

Description

technical field [0001] The invention relates to a collaborative filtering data analysis system and method, in particular to a system and method for product recommendation using collaborative filtering data analysis. Background technique [0002] Collaborative filtering (Collaborative Filtering recommendation) is rapidly becoming a popular technique in information filtering and information systems. Different from the traditional content-based filtering that directly analyzes content for recommendation, collaborative filtering analyzes user interests, finds similar (interested) users of the specified user in the user group, and synthesizes the evaluation of a certain information by these similar users to form a specified user. preference prediction. [0003] Ordinary collaborative filtering systems analyze user behavior data, and calculate the user's demand preferences, so as to make product recommendations according to the user's preferences. The existing collaborative filt...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q30/02
CPCG06F16/9535G06Q30/0201
Inventor 罗军郭娜秦玉龙于明剑
Owner SHENZHEN SHENGXUNDA TECH
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