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Tag propagation based recommendation across diverse social media
2014
Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion
Many real applications demand accurate cross-domain recommendation, e.g., recommending a Weibo (the largest Chinese Twitter) user with the products in an e-commerce Web site. Since many social media have rich tags on both items or users, tag-based profiling became popular for recommendation. However, most previous recommendation approaches have low effectiveness in handling sparse data or matching tags from different social media. Addressing these problems, we first propose an optimized local
doi:10.1145/2567948.2577285
dblp:conf/www/YangXSZZ014
fatcat:ckizwj6rwfgv7albec6yezzsse