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Real-time recommending system and method

A real-time recommendation and related recommendation technology, applied in the field of recommendation systems

Inactive Publication Date: 2014-12-17
SHANGHAI LIANSHANG NETWORK TECHNOLOGY CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Most of the current recommendation systems are offline calculations in the background, and then display the recommended results that have been excavated in advance to the users. However, how to quickly respond to the needs of users and adjust the recommendation results for different users in real time has become a challenge for the current recommendation system. problems and challenges

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Embodiment Construction

[0025] The implementation of the present invention is described below through specific examples and in conjunction with the accompanying drawings, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific examples, and various modifications and changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention.

[0026] figure 1 It is a system architecture diagram of a real-time recommendation system of the present invention. The present invention is aimed at the request with the search engine query word, then performs real-time calculation and adjustment according to the corresponding search query word, and finally obtains relevant recommendation results, such as figure 1 As shown, the real-time r...

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Abstract

The invention discloses a real-time recommending system and method. The method includes the following steps of firstly, receiving a search inquiry word obtained through a search engine; secondly, conducting natural language processing on the search inquiry word, extracting out keywords, and generating some keyword fragments and weights extracted through semantic analysis; thirdly, obtaining each keyword and each weight of the search inquiry word, combining offline excavation results with click feedback data, then comprehensively processing the offline excavation results and the click feedback data, and finally obtaining individual related recommending result output of a user. By means of the real-time recommending system and method, the demands of the user can be rapidly responded to, the recommending results for different users can be adjusted in real time, and the demands of the user can be better met.

Description

technical field [0001] The present invention relates to a recommendation system and method, in particular to a real-time recommendation system and method based on fusion of search query words. Background technique [0002] With the explosive growth of Internet content, especially the rapid development of video sites and social networking sites, a large amount of fresh content is produced and consumed every day. Information is getting harder and harder. [0003] Video recommendation is a method and tool for video websites to help users find and watch videos in a specific field. Compared with the traditional video catalog browsing method or video search method, video recommendation can find out the specific field of user needs by analyzing the user's historical behavior when the user is not sure about the appropriate search term, and recommend it in this specific field, avoiding the The multi-click process of entering search terms and hierarchical directories makes finding a...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 辛颖伟陈运文纪达麒刘作涛姚璐陈冬
Owner SHANGHAI LIANSHANG NETWORK TECHNOLOGY CO LTD