CoSearch: a system for co-located collaborative web search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A survey of collaborative web search practices
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Algorithmic mediation for collaborative exploratory search
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
3rd international workshop on collaborative information retrieval (CIR2011)
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CoKIM: Collaborative and Social Knowledge-Based Incident Manager
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
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In this position paper, we describe the unique challenges of collaborative information retrieval (MLCIR) in an environment where information access and visibility is not equal across all participants. We call this multi-level collaborative information retrieval, after the term used to describe an environment with differing classification levels. In contrast to traditional collaborative information retrieval, which focuses on technologies to facilitate dynamics in a group, MLCIR must be aware of the information flow in a group, making sure there is not information contamination and inadvertent disclosure of information, while still allowing for collaboration. We cover some of the challenges, and discuss impact on not just formal MLCIR domains, but also more traditional collaborative information seeking domains.