Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Document expansion for speech retrieval
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Computer Evaluation of Indexing and Text Processing
Journal of the ACM (JACM)
A vector space model for automatic indexing
Communications of the ACM
Modern Information Retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
The State of the Art in Text Filtering
User Modeling and User-Adapted Interaction
Emergent semantics and the multimedia semantic web
ACM SIGMOD Record
Labeling images with a computer game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Usage patterns of collaborative tagging systems
Journal of Information Science
Viewpoints on emergent semantics
Journal on Data Semantics VI
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Emergent Semantics is a new paradigm for inferring semantic meaning from implicit feedback by a sufficiently large number of users of an object retrieval system. In this paper, we introduce a universal architecture for emergent semantics using a central repository within a multi-user environment, based on solid linguistic theories. Based on this architecture, we have implemented an information retrieval system supporting term queries on standard information retrieval corpora. Contrary to existing query refinement strategies, feedback on the retrieval results is incorporated directly into the actual document representations improving future retrievals. An evaluation yields higher precision values at the standard recall levels and thus demonstrates the effectiveness of the emergent semantics approach for typical information retrieval problems.