Clustering Technique for Collaborative Filtering Recommendation and Application to Venue Recommendation

P
Clustering Techniques for Collaborative Filtering and the Application to Venue Recommendation Manh Cuong Pham , Yiwei Cao, Ralf Klamma Information Systems and Database Technology RWTH Aachen, Germany Graz , Austria, September 01, 2010 I-KNOW 2010
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Clustering and Collaborative Filtering Cluster 2 Cluster 1 item-based CF User clustering Item clustering item-based CF item-based CF ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x
Evaluation: Venue Recommendation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Sets ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
User-based CF: Author Clustering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
User-based CF: Performance ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Item-based CF: Venue Network Creation and Clustering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Knowledge Network: the Visualization
Knowledge Network: Clustering
Interdisciplinary Venues: Top Betweenness Centrality
High Prestige Series: Top PageRank
Conclusions and Future Research ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
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Clustering Technique for Collaborative Filtering Recommendation and Application to Venue Recommendation

Editor's Notes

  1. Pham Manh Cuong