论文信息 - Next Stop Recommender

Next Stop Recommender

User wandering behaviours may involve many location visits in different order. The research team has proposed an algorithm which can provide users recommendation for their next visit according to the similarity of their behaviours between each others and the connections amongst locations. In order to test the effectiveness of proposed algorithm the research team develops a mobile app - Next Stop Recommender - for Android platform. This paper focuses on the app itself and discusses the potential use of the app and the enhancement directions of the proposed algorithm.

Kinshuk | Maiga Chang | Dirksen Liu | Ben Ripley

[1] Douglas B. Terry,et al. Using collaborative filtering to weave an information tapestry , 1992, CACM.

[2] Kenneth Y. Goldberg,et al. Eigentaste: A Constant Time Collaborative Filtering Algorithm , 2001, Information Retrieval.

[3] Loren Terveen,et al. PHOAKS: a system for sharing recommendations , 1997, CACM.

[4] Vincent S. Tseng,et al. Efficient mining and prediction of user behavior patterns in mobile web systems , 2006, Inf. Softw. Technol..

[5] Yoav Shoham,et al. Fab: content-based, collaborative recommendation , 1997, CACM.

[6] Maiga Chang,et al. Next-Stop Recommendation to Travelers According to Their Sequential Wandering Behaviors , 2011 .

[7] Guy Shani,et al. An MDP-Based Recommender System , 2002, J. Mach. Learn. Res..