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Metadata based combined approach for effective collaborative recommendation

Published: 05 October 2014 Publication History

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.

References

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Suyun, W., Y. Ning, et al. "Collaborative Filtering Recommendation Algorithm Based on Item Clustering and Global Similarity," Business Intelligence and Financial Engineering (BIFE), 2012 Fifth International Conference on, 2012.
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  1. Metadata based combined approach for effective collaborative recommendation

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      cover image ACM Conferences
      RACS '14: Proceedings of the 2014 Conference on Research in Adaptive and Convergent Systems
      October 2014
      386 pages
      ISBN:9781450330602
      DOI:10.1145/2663761
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      Published: 05 October 2014

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      1. collaborative recommendation
      2. combined approach
      3. content metadata

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      RACS '14 Paper Acceptance Rate 59 of 251 submissions, 24%;
      Overall Acceptance Rate 393 of 1,581 submissions, 25%

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