Topic-Driven SocialRank: Personalized search result ranking by identifying similar, credible users in a social network

Author:

Kim Young An,Park Gun Woo

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference21 articles.

1. “Wikipedia.” .

2. B. Tan, X. Shen, C. Zhai, Mining long-term search history to improve search accuracy”, in: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery in Data mining, 2006, pp. 718–723.

3. D. Carmel, N. Zwerdling, I. Guy, S. Ofek-Koifman, N. Harel, I. Ronen, E. Uziel, S. Yogev, S. Chernov, Personalized social search based on the user’s social network, in: Proceedings of the 18th ACM International Conference on Information and Knowledge Management, 2009, pp. 1227–1236.

4. D. Evans, S. Gosling, A. Carroll, What elements of an online social networking profile predict target-rater agreement in personality impressions? in: Proceeding of the 2nd International Conference on Weblogs and Social Media, 2008.

5. D.H. John, S. Breese, C. Kadie, Empirical analysis of predictive algorithms for collaborative filtering, in: Proceedings of the 14th Annual Conference on Uncertain in Artificial Intelligence, 1998, pp. 43–52.

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