Personalized news recommendation device and method based on news content and theme feature

A technology of thematic features and recommendation devices, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve the problems of insufficient diversity of recommendation results and concentrated interest.

Inactive Publication Date: 2012-12-19
BEIJING UNIV OF POSTS & TELECOMM +1
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Problems solved by technology

[0038] In view of this, the purpose of the present invention is to propose a personalized news recommendation device and recommendation method based on news content and topic features. The features of the present invention include two aspects: using topic models and named entity noun sequences (combined with news content features Relevance) Build a personalized user model to express the user's interest preference in reading news, and perform weight calculation and conversion on the user's topic feature vector, so as to reduce the impact of popular topics a

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  • Personalized news recommendation device and method based on news content and theme feature
  • Personalized news recommendation device and method based on news content and theme feature
  • Personalized news recommendation device and method based on news content and theme feature

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[0065] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. According to the embodiments of the present invention, a person of ordinary skill in the art can implement all other embodiments of the present invention without creative work, which fall within the protection scope of the present invention.

[0066] In the following description, only a brief technical description of the technology that is not related to the present invention or directly skipped.

[0067] See figure 1 The news collection in this embodiment of the present invention includes: 150,000 news items captured from multiple Chinese portal sites within 5 days as a news training collection, and through the user log system, the user’s i...

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Abstract

The invention discloses a personalized news recommendation device and method based on news content and theme feature. The recommendation device is equipped with seven modules, namely a news capturing module, a pre-treatment module, a theme model training module, a theme model predicting module, a user model building module, a news recommendation module and a recommendation treatment module. The recommendation method comprises the following steps: building an personalized user model with the theme model and a relevant named entity noun sequence to express the interest preference of the user reading news, and calculating weight and converting the theme feature vector of users so as to reduce the influence of hot themes and single news content on the user interest, thereby effectively overcoming the defects of concentrated user interest and insufficient diversity of recommendation results. In a recommendation output stage, an initial recommendation news list is treated, a theme grouping process based on the personalized user model is added on the basis of currently repeating data deleting and redundancy filtering, and news texts are reordered again according to the aging weight so as to recommend the accurate, diversified and novel personalized news.

Description

technical field [0001] The present invention relates to a personalized news recommendation device and method, more precisely, to a personalized news recommendation device and method for Internet users based on news content and theme features; it belongs to the technical field of data mining and machine learning. Background technique [0002] With the development of information technology and the Internet, people have gradually entered the era of information overload from the era of information scarcity. At the same time, both information consumers and information producers have encountered great challenges: for information consumers, it is very difficult to find the information they are interested in from massive amounts of information; for information producers, It is also very difficult to make the information produced by oneself stand out and attract widespread attention from users. The recommendation system or recommendation device is an important tool to solve this con...

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Application Information

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IPC IPC(8): G06F17/30
Inventor 卢美莲刘金亮叶小卫王明华曹一鸣李佳珊
Owner BEIJING UNIV OF POSTS & TELECOMM
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