Topic-Sensitive PageRank: A Context-Sensitive Ranking Algorithm for Web Search
IEEE Transactions on Knowledge and Data Engineering
HT06, tagging paper, taxonomy, Flickr, academic article, to read
Proceedings of the seventeenth conference on Hypertext and hypermedia
Optimizing web search using social annotations
Proceedings of the 16th international conference on World Wide Web
Towards annotation of video as part of search
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
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This paper presents the GroupMe! system, a resource sharing system with advanced tagging functionality. GroupMe! provides a novel user interface, which enables users to organize and arrange arbitrary Web resources into groups. The content of such groups can be overlooked and inspected immediately as resources are visualized in a multimedia-based fashion. In this paper, we furthermore introduce new folksonomy-based ranking strategies that exploit the group structure shipped with GroupMe! folksonomies. Experiments show that those strategies significantly improve the performance of such ranking algorithms.