Enhancing personalized ranking quality through multidimensional modeling of inter-item competition

Qinyuan Feng, Ling Liu, Yan Sun, Ting Yu, Yafei Dai

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

2 Citations (Scopus)

Abstract

This paper presents MAPS - a personalized Multi-Attribute Probabilistic Selection framework - to estimate the probability of an item being a user's best choice and rank the items accordingly. The MAPS framework makes three original contributions in this paper. First, we capture the inter-attribute tradeoff by a visual angle model which maps multi-attribute items into points (stars) in a multidimensional space (sky). Second, we model the inter-item competition using the dominating areas of the stars. Third, we capture the user's personal preferences by a density function learned from his/her history. The MAPS framework carefully combines all three factors to estimate the probability of an item being a user's best choice, and produces a personalized ranking accordingly. We evaluate the accuracy of MAPS through extensive simulations. The results show that MAPS significantly outperforms existing multi-attribute ranking algorithms.

Original languageEnglish
Title of host publicationProceedings of the 6th International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2010
Publication statusPublished - 1 Dec 2010
Externally publishedYes
Event6th International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2010 - Chicago, IL, United States
Duration: 9 Oct 201012 Oct 2010

Other

Other6th International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2010
CountryUnited States
CityChicago, IL
Period9/10/1012/10/10

Fingerprint

Stars
Probability density function
History

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Feng, Q., Liu, L., Sun, Y., Yu, T., & Dai, Y. (2010). Enhancing personalized ranking quality through multidimensional modeling of inter-item competition. In Proceedings of the 6th International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2010 [5767019]

Enhancing personalized ranking quality through multidimensional modeling of inter-item competition. / Feng, Qinyuan; Liu, Ling; Sun, Yan; Yu, Ting; Dai, Yafei.

Proceedings of the 6th International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2010. 2010. 5767019.

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

Feng, Q, Liu, L, Sun, Y, Yu, T & Dai, Y 2010, Enhancing personalized ranking quality through multidimensional modeling of inter-item competition. in Proceedings of the 6th International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2010., 5767019, 6th International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2010, Chicago, IL, United States, 9/10/10.
Feng Q, Liu L, Sun Y, Yu T, Dai Y. Enhancing personalized ranking quality through multidimensional modeling of inter-item competition. In Proceedings of the 6th International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2010. 2010. 5767019
Feng, Qinyuan ; Liu, Ling ; Sun, Yan ; Yu, Ting ; Dai, Yafei. / Enhancing personalized ranking quality through multidimensional modeling of inter-item competition. Proceedings of the 6th International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2010. 2010.
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