Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Exploring folksonomy for personalized search
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Discovering Temporal Communities from Social Network Documents
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
Who resemble you better, your friends or co-visited users
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
Proceedings of the 20th ACM international conference on Multimedia
Unified entity search in social media community
Proceedings of the 22nd international conference on World Wide Web
Social influence analysis and application on multimedia sharing websites
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special Sections on the 20th Anniversary of ACM International Conference on Multimedia, Best Papers of ACM Multimedia 2012
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In this paper, we propose a personalized search model to assist users in obtaining interested photos on Flickr, which exploits the favorite marks of the searcher's friends to predict the searcher's preference on the returned photos. The proposed model utilizes a co-clustering method to extract latent interest dimensions from users' implicit interests, and employs a discriminative learning method to predict searcher's preference on the returned photos. Preliminary experiments demonstrate the improvement of the proposed model compared to existing one-fit-all methods and a user-based collaborative filtering method.