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A Hotel Recommendation System Based on Collaborative Filtering and Rankboost Algorithm

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2 Author(s)
Gao Huming ; Inf. Manage. Dept, Tianjin Univ. of Econ. & Finance, Tianjin, China ; Li Weili

A hotel recommendation system based on collaborative filtering method of clustering and Rankboost algorithm proposed in this paper, which can avoid the cold-start and scalability problems existing in traditional collaborative filtering. One can find a hotel quickly and efficiently when he uses this hotel recommendation system.

Published in:

Multimedia and Information Technology (MMIT), 2010 Second International Conference on  (Volume:1 )

Date of Conference:

24-25 April 2010