Incremental relevance feedback
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Evaluating implicit feedback models using searcher simulations
ACM Transactions on Information Systems (TOIS)
SearchTogether: an interface for collaborative web search
Proceedings of the 20th annual ACM symposium on User interface software and technology
An experimental comparison of click position-bias models
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Algorithmic mediation for collaborative exploratory search
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
CIRLab: A groupware framework for collaborative information retrieval research
Information Processing and Management: an International Journal
Division of labour and sharing of knowledge for synchronous collaborative information retrieval
Information Processing and Management: an International Journal
Toward automated evaluation of interactive segmentation
Computer Vision and Image Understanding
Simulating simple and fallible relevance feedback
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Efficient algorithms for collaborative decision making for large scale settings
Proceedings of the 3rd international workshop on Collaborative information retrieval
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Synchronous Collaborative Information Retrieval refers to systems that support multiple users searching together at the same time in order to satisfy a shared information need. To date most SCIR systems have focussed on providing various awareness tools in order to enable collaborating users to coordinate the search task. However, requiring users to both search and coordinate the group activity may prove too demanding. On the other hand without effective coordination policies the group search may not be effective. In this paper we propose and evaluate novel system-mediated techniques for coordinating a group search. These techniques allow for an effective division of labour across the group whereby each group member can explore a subset of the search space. We also propose and evaluate techniques to support automated sharing of knowledge across searchers in SCIR, through novel collaborative and complementary relevance feedback techniques. In order to evaluate these techniques, we propose a framework for SCIR evaluation based on simulations. To populate these simulations we extract data from TREC interactive search logs. This work represent the first simulations of SCIR to date and the first such use of this TREC data.