User interest-based information aggregation method and system

Abstract

The invention discloses a user interest-based information aggregation method and system. The user interest-based information aggregation system includes a content classification module, a classification content storage module, an information flow generation module, an information aggregation module and a conventional content storage module. The method specifically includes the following steps that: new content generated by users in a social network is acquired, the new content is scored and classified sequentially according to different sources of the new content; the new content and original unread content of the users are sequenced together according to scoring results, and the sequenced content is stored; when new content reading requests of the users are received, new content which are unread and generated before the requests or all the new content is extracted and returned; and the new content and historical content which have been read by the users are merged, and the merged content is pushed. According to the method and system of the invention, content is re-sequenced and displayed according to the correlation degrees of the content and the interests of the users; the interests of the users are analyzed, so that content which the users are interested in can be filtered out for the users; and therefore, the problem of information overloading caused by too large information flow in the social network existing in a traditional information aggregation system can be solved.

Description

technical field [0001] The invention relates to the field of information processing, in particular to an information aggregation method and system based on user interests. Background technique [0002] The current network information can be described as flooding. Every day people look for the news information they need in the complicated network world. The tools they often borrow are search engines. However, it is difficult for people who do not know how to search logic commands to quickly and accurately find the information. For the information content they need, most audiences often need to inquire and eliminate a large number of useless search results before they can find what they want. The information aggregation technology based on web search can help people improve the accuracy of search through functions such as software and intelligent filtering, and greatly shorten the time to find the required information. Early RSS information customization, Digg (digger), etc. ...

AI Technical Summary

Problems solved by technology

By analyzing the interests of users, it helps users filter out content that is more in line with their interests, and solves the problem of information overload caused by traditional information aggregation systems when the information flow in social networks is too large.

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