Study of User Interest Model Based on News Recommendation

Rui Rui Cheng; Hui Ping Chen; Zhao Hui Wang

doi:10.4028/www.scientific.net/AMM.644-650.1577

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Study of User Interest Model Based on News...

Study of User Interest Model Based on News Recommendation

Abstract:

In order to improve the accuracy of news recommendation, this paper established a comprehensive user interest model. First,this paper established a stable user interest model based on user browsing habits .Then,the paper also advanced freshness-based tentative recommendations on the basis of news timeliness and mainstream to get the user's temporary interest model. Finally,the paper combined these two models to establish a comprehensive user interest model. Experimental results proved that the proposed method can recommend specific news articles that best meet the user's reading preferences from a large number of the latest published news.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

1577-1580

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.1577

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Online since:

September 2014

Authors:

Rui Rui Cheng*, Hui Ping Chen, Zhao Hui Wang

Keywords:

Browsing Habits, Freshness, Interest Model, News Recommendation

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* - Corresponding Author

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