Agents that reduce work and information overload
Communications of the ACM
An experimental study of factors important in document ranking
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
Measures of distributional similarity
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Evaluating implicit feedback models using searcher simulations
ACM Transactions on Information Systems (TOIS)
Learning dynamic information needs: A collaborative topic variation inspection approach
Journal of the American Society for Information Science and Technology
Efficient set-correlation operator inside databases
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Semantically-guided clustering of text documents via frequent subgraphs discovery
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
Multi-perspective linking of news articles within a repository
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
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In this poster we describe an investigation of topic similarity measures. We elicit assessments on the similarity of 10 pairs of topic from 76 subjects and use these as a benchmark to assess how well each measure performs. The measures have the potential to form the basis of a predictive technique, for adaptive search systems. The results of our evaluation show that measures based on the level of correlation between topics concords most with general subject perceptions of search topic similarity.