Information recommending method and system

Abstract

The invention discloses an information recommending method and system. The information recommending method includes steps of obtaining network source recommendation information which is relevant to programs being played, classifying the obtained network source recommendation information according to element feature categories of the programs, counting the number of the categories of the classified programs as well as information release time, calculating element feature weights of the programs being played by summarizing the information number and the information release time, calculating a similarity between the recommendation information of network sources and the programs being played according to element features and the element feature weights of the programs being played as well as information features and information feature weights of the recommendation information, sequencing the network source recommendation information according to a sequencing strategy based on the similarity, and recommending and extracting the categories of the recommendation information to users according to the number of the categories of the recommendation information and the ratio of the categories to the network sources so that the users can directly and methodically read relevant information.

Description

technical field [0001] The present invention relates to the field of information recommendation, in particular to an information recommendation method and system. Background technique [0002] With the rapid development of information technology, all kinds of network information are flooding people's lives. Faced with such a huge amount of information, people gradually become at a loss. They must rely on search engines and other auxiliary tools to find what they need. Content. In the era of intelligence, such redundant and cumbersome operations can no longer adapt to people's lives. People hope that smart electronic products can be smarter and smarter, and can better understand what users think, learn user habits and preferences accurately, and recommend products to users. information needed. In this context, the recommendation system came into being. The recommendation system modeled the user's behavior by intelligently analyzing the user's historical behavior, so as to a...

AI Technical Summary

Problems solved by technology

[0004] In view of the above deficiencies in the prior art, the purpose of the present invention is to provide an information recommendation method and sys

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