An online paper recommendation system driven by user's interest model and user group
Authors: 
Hua Zhao, Ruofei Zou, Hua Duan, Qingtian Zeng, Chao Li, Xiuli Diao, Weijian Ni, Nengfu XieAuthors Info & Claims
Hua Zhao, Ruofei Zou, Hua Duan, Qingtian Zeng, Chao Li, Xiuli Diao, Weijian Ni, Nengfu XieAuthors Info & ClaimsPages 141 - 144
Abstract
How to recommend appropriate papers to researchers based on their research interest has already attracted lots of attentions. A research interest model based on several historical behaviors is proposed. A reduction function is proposed to adjust the different influences of the behaviors, and then the user group with similar interests is created based on the interest model. Two paper recommendation methods are finally explored, which based on the user's research interests and on the user group, respectively. Experiments show that the proposed research interest model performs well.
References
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Index Terms
- An online paper recommendation system driven by user's interest model and user group
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Information & Contributors
Information
Published In
November 2018
326 pages
ISBN:9781450365345
DOI:10.1145/3290420
- Conference Chairs:
- Jalel Ben-Othman,
- Hui Yu,
- Program Chairs:
- Herwig Unger,
- Masayuki Arai
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 02 November 2018
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ICCIP 2018
ICCIP 2018: 2018 the 4th International Conference on Communication and Information Processing
November 2 - 4, 2018
Qingdao, China
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Overall Acceptance Rate 61 of 301 submissions, 20%
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