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Recommend Items for User in Social Networking Services with CF

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2 Author(s)
Linting Guan ; Collage of Math., Phys. & Inf., Zhejiang Ocean Univ., Zhoushan, China ; Hailing Lu

In this paper we focus on the algorithm for prediction task involves predicting whether or not a user will follow an item that has been recommended to the user in social networking services. Items can be person, organizations or groups, which is sponsored by Ten cent Weibo as KDD Cup 2012. We evaluate a range of different profiling and recommendation strategies, based on a subset of large dataset from KDD Cup 2012.

Published in:

Computer Science & Service System (CSSS), 2012 International Conference on

Date of Conference:

11-13 Aug. 2012