Text information recommendation method and system

A recommendation method and recommendation system technology, applied in the computer field, can solve semantic ambiguity and other problems, achieve the effect of improving conversion rate, improving information PV conversion rate, and improving user experience
CN106202394AActive Publication Date: 2016-12-07TENCENT TECH (SHENZHEN) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
TENCENT TECH (SHENZHEN) CO LTD
Publication Date
2016-12-07

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Abstract

The invention provides a text information recommendation method. The text information recommendation method comprises the following steps: establishing an information recommendation pool; acquiring text content of an article requiring information recommendation; segmenting the article requiring information recommendation into multiple words; predicting multi-dimensional topic distribution of the article requiring information recommendation according to multi-dimensional topic distribution of words in an LDA (latent dirichlet allocation) model base; calculating information correlation between the article requiring information recommendation and articles in the information recommendation pool; sorting related information in the information recommendation pool according to an information correlation calculation result; outputting recommended information according to a sorting result. With adoption of the method, semantic ambiguity of related information and semantic related problems during information recommendation can be solved, information heat and timeliness are taken into consideration, and the click-through rate of users is increased. The invention further provides a system for implementing the text information recommendation method.
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Description

technical field

[0001] The present invention relates to the field of computer technology, in particular to a method and system for recommending text information. Background technique

[0002] With the rapid development of the Internet, the amount of network information continues to increase. This brings convenience to network users in obtaining information, but also causes the problem of information overload. How to quickly and effectively find and locate the required information in the massive information has become a prominent problem in the current development of the Internet, and it is also a hot spot in the research of network information retrieval.

[0003] In order to solve the above-mentioned problems, many news websites recommend to users information related to the information currently on the user terminal through information recommendation methods such as "related news", "related reading", "more news", "related recommendation", and "extended reading". Additional...

Claims

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