Metadata Based Combined Approach for Effective Collaborative Recommendation
- Title
- Metadata Based Combined Approach for Effective Collaborative Recommendation
- Author
- 최용석
- Keywords
- collaborative recommendation; combined approach; content metadata
- Issue Date
- 2014-10
- Publisher
- Association for Computing Machinery, Inc
- Citation
- Proceedings of the 2014 Research in Adaptive and Convergent Systems, RACS 2014. (Proceedings of the 2014 Research in Adaptive and Convergent Systems, RACS 2014, 5 October 2014, p.72-76
- Abstract
- In this paper, we propose content-metadata based combined approach to effective collaborative recommendation. Our approach combines user-item rating scores and/or trust network information with content-metadata compensatively for boosting collaborative recommendation. In experiment, we identified that our approach could considerably improve recommendation performance when compared to existing collaborative recommendation methods.
- URI
- https://dl.acm.org/citation.cfm?id=2664189http://hdl.handle.net/20.500.11754/56982
- ISBN
- 978-1-4503-3060-2
- DOI
- 10.1145/2663761.2664189
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
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