Consensus Oriented Recommendation

Yu Chieh Ho, Xianming Liu, Jane Yung Jen Hsu, Thomas S. Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recommender systems are useful tools that help people to filter and explore massive information. While most recommender systems focus on providing recommendations for individuals, people's minds are easily altered and dominated by crowds, especially in a socialized environment. In addition to fulfill personalized intentions, more considerate recommendations, which maximize satisfactions of both individuals and common interests within crowds, are expected in various daily-life scenarios: e.g., scenic spots recommendation to help trip planning making for a group of friends, and movie/TV program recommendation for family members. In this paper, we aim at advancing the group recommendation and propose a novel approach which predicts user preferences with the consideration of "group consensus". We combine observations from real-world group discussions with the model learning and conduct several experiments on a real-world dataset. The results show that the proposed approach benefits both individual and group recommendation and surpasses the state-of-the-art approach in terms of individual preference prediction.

Original languageEnglish (US)
Title of host publicationProceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages294-297
Number of pages4
ISBN (Electronic)9781509035588
DOIs
StatePublished - Jul 2 2016
Event9th International Symposium on Computational Intelligence and Design, ISCID 2016 - Hangzhou, Zhejiang, China
Duration: Dec 10 2016Dec 11 2016

Publication series

NameProceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016
Volume1

Other

Other9th International Symposium on Computational Intelligence and Design, ISCID 2016
CountryChina
CityHangzhou, Zhejiang
Period12/10/1612/11/16

Keywords

  • Collaborative Filtering
  • Consensus Decision-making
  • Group Recommendation
  • Recommender System

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Computer Science Applications
  • Control and Optimization
  • Modeling and Simulation

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  • Cite this

    Ho, Y. C., Liu, X., Hsu, J. Y. J., & Huang, T. S. (2016). Consensus Oriented Recommendation. In Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016 (pp. 294-297). [7830348] (Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016; Vol. 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCID.2016.1074