A Collaborative Filtering Tag Recommendation System based on Graph
ECML PKDD Discovery Challenge 2009 (DC09), 497, стр. 297--306. Bled, Slovenia, CEUR Workshop Proceedings, (сентября 2009)Аннотация
With the rapid development of web2.0 technologies, tagging become much more important today to organize information and help users search the information they need with social bookmarking tools. In order to finish the second task of ECML PKDD challenge 2009, we propose a graph-based collaborative filtering tag recommendation system. We also refer to an algorithm called FolkRank, which is an adaptation of the famous Page Rank. We evaluate and compare these two approaches and show that a combination of these two methods will perform better results for our task.
