Abstract. We propose a new approach to collaborative filtering in mobile tourist information systems based on spatio-temporal proximity in social contexts. Users store ratings and ...
Alexandre de Spindler, Moira C. Norrie, Michael Gr...
In this paper, we report on our experience with the creation of an automated, human-assisted process to extract metadata from documents in a large (>100,000), dynamically growi...
Jianfeng Tang, Kurt Maly, Steven J. Zeil, Mohammad...
Thesaurus has been widely used in many applications, including information retrieval, natural language processing, and question answering. In this paper, we propose a novel approa...
Zheng Chen, Shengping Liu, Liu Wenyin, Geguang Pu,...
Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
Recently Augmented Reality (AR) technology has been used to develop the next generation collaborative interfaces. First results have shown the value of using AR for co-located tas...