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Personalized recommendation method and system based on big data searching

A recommendation system and recommendation method technology, applied in the field of search, can solve problems such as low accuracy rate, and achieve the effect of improving accuracy rate, increasing adoption rate, and improving fit degree

Active Publication Date: 2016-04-20
SOUTH CHINA NORMAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] Based on this, it is necessary to provide a personalized recommendation method and system based on big data search for the problem of low accuracy in the existing technology

Method used

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  • Personalized recommendation method and system based on big data searching
  • Personalized recommendation method and system based on big data searching

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Experimental program
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Embodiment Construction

[0020] Embodiments of the personalized recommendation method and system of the present invention will be described below with reference to the accompanying drawings.

[0021] figure 1 It is a flow chart of a personalized recommendation method according to an embodiment. like figure 1 As shown, the personalized recommendation method may include the following steps:

[0022] Step S1, screening the recommendation information obtained from the recommendation system in advance to obtain initial recommendation information;

[0023] The recommendation system may be various existing recommendation systems or a newly developed recommendation system; the recommendation information obtained from the recommendation system may be various types of recommendation information, such as product recommendation information, clothing recommendation Information, book recommendation information, video recommendation information, picture recommendation information, paper recommendation information...

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Abstract

The invention relates to a personalized recommendation method and system based on big data searching. The method comprises the following steps: screening recommendation information acquired from a recommendation system in advance to obtain initial recommendation information; searching in a search engine respectively by using each piece of initial recommendation information as search information to obtain corresponding N1 first search results, and searching in the search engine respectively by using each piece of initial recommendation information and user attribute information acquired in advance as search information to obtain corresponding N2 second search results; screening the initial recommendation information according to a ratio of N1 to N2 of the each piece of initial recommendation information to obtain recommendation results.

Description

technical field [0001] The invention relates to the technical field of search, in particular to a method and system for personalized recommendation based on big data search. Background technique [0002] With the rapid development of recommendation technology, users have higher and higher requirements for recommendation results. Personalized recommendation is one of the most important contents of recommendation technology. The existing personalized recommendation is to recommend the information and commodities that the user is interested in to the user according to the user's interest characteristics and purchasing behavior. With the continuous expansion of e-commerce scale and the rapid growth of the number and types of products, customers need to spend a lot of time to find the products they want to buy. This process of browsing large amounts of irrelevant information and products will undoubtedly drain consumers who are drowning in information overload. In order to sol...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q30/02
CPCG06F16/9535G06Q30/0253
Inventor 朱定局
Owner SOUTH CHINA NORMAL UNIVERSITY