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The Research of the Personalization

Published: 02 November 2007 Publication History

Abstract

This paper presents a personalization recommendation model to recommend potentially interesting resources to users based on the preference characteristics of users. This model consists of two algorithms: a building algorithm of user model and a recommending algorithm of resource. The first algorithm aims to build the user model, according to searched keywords and behaviors of users. Founded on the model, ordered resources are recommend to users by the second algorithm.

References

[1]
Xu B W and Zhang W F. Search Engine and Information Retrieval Technology, Tsinghua University Press, Beijing, 2003.
[2]
Song L Z. The Research of Digital Library Personalization Service Model. Beijing Institute of Technology Press, Beijing, 2005.
[3]
AH2000, Proceedings of the International Conference on "Adaptive Hypermedia and Adaptive Web-Based Systems", Trento, Italy, August 28-30, 2000.
[4]
M. Sato and T. Kawamura. "Awareness Network Service", N I T R&D, Vol. 45. pp. 979-986. Oct. I996 (in Japanese).
[5]
H. Kittaka, N. Sato, H. Suzuki and A. Soneoka. "A Proposal and Evaluation of New Personalized Navigation Service". Soc.Info. Sci., Vol. 40, No. 1. pp. 175-187. Jan. 1999.
[6]
Balabanovic M. "Exploring versus exploiting when learning user models for next recommendation". User Modeling and User-Adapted Interaction, 8(1), pp. 71- 102, 1998.
[7]
Oard, D., Kim, J. "Implicit Feedback for Recommender Systems". In Proceedings of AAAI Workshops on Recommender Systems. July 1998.
[8]
Basu C, Hirsh H, Cohen W. "Recommendation as classification: Using social and content-based information in recommendation". Proceeding of the Fifteenth National Conference on AI, Madison, WI, AAAI Press, pp. 714-720, July 1998.

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Published In

cover image ACM Conferences
WI-IATW '07: Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
November 2007
513 pages
ISBN:0769530281

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IEEE Computer Society

United States

Publication History

Published: 02 November 2007

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