Abstract
People’s information-seeking can span multiple sessions, and can be collaborative in nature. Existing commercial offerings do not effectively support searchers to share, save, collaborate or revisit their information. In this demo paper we present Querium: a novel session-based collaborative search system that lets users search, share, resume and collaborate with other users. Querium provides a number of novel search features in a collaborative setting, including relevance feedback, query fusion, faceted search, and search histories.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Aula, A., Jhaveri, N., Käki, M.: Information Search and Re-access Strategies of Experienced Web Users. In: Proc. WWW 2005. SearchBar: A Search-Centric Web History for Task Resumption and Information Re-finding, Proc. CHI 2005 (2005)
Capra, R., Marchionini, G., Velasco-Martin, J., Muller, K.: Tools-at-hand and learning in multi-session, collaborative search. In: Proc. CHI 2010 (2010)
CiteSeerx, http://csxstatic.ist.psu.edu/about/data
Golovchinsky, G., Pickens, J.: Interactive Information Seeking via Selective Application of Contextual Knowledge. In: Proc. IIiX 2010 (2010)
MacKay, B., Watters, C.: Exploring multi-session web tasks. In: Proc. CHI 2008 (2008)
Morris, M.R.: A Survey of Collaborative Web Search Practices. In: Proc. CHI 2008 (2008)
Morris, M.R., Horvitz, E.: SearchTogether: an interface for collaborative web search. In: Proc. UIST 2007 (2007)
Pickens, J., Golovchinsky, G., Shah, C., Qvarfordt, P., Back, M.: Algorithmic Mediation for Collaborative Exploratory Search. In: Proc. SIGIR 2008 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Diriye, A., Golovchinsky, G. (2012). Querium: A Session-Based Collaborative Search System. In: Baeza-Yates, R., et al. Advances in Information Retrieval. ECIR 2012. Lecture Notes in Computer Science, vol 7224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28997-2_72
Download citation
DOI: https://doi.org/10.1007/978-3-642-28997-2_72
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28996-5
Online ISBN: 978-3-642-28997-2
eBook Packages: Computer ScienceComputer Science (R0)