%0 Conference Paper
%1 shah2012collaborative
%A Shah, Chirag
%B Proceedings of the fifth ACM international conference on Web search and data mining
%C New York, NY, USA
%D 2012
%I ACM
%K cis collaborative search social web
%P 765--766
%T Collaborative information seeking: understanding users, systems, and content
%U http://doi.acm.org/10.1145/2124295.2124392
%X The course will introduce the student to theories, methodologies, and tools that focus on information retrieval/seeking in collaboration. The student will have an opportunity to learn about the social aspect of IR with a focus on collaborative information seeking (CIS) situations, systems, and evaluation techniques. Traditionally, IR is considered an individual pursuit, and not surprisingly, the majority of tools, techniques, and models developed for addressing information need, retrieval, and usage have focused on single users. The assumption of information seekers being independent and IR problem being individual has been challenged often in the recent past. This course will introduce such works to the students, with an emphasis on understanding models and systems that support collaborative search or browsing. In addition, the course will provide samples of data collected through several experiments to demonstrate various mining and analysis techniques. </p> <p>Specifically, the course will (1) outline the research and latest developments in the field of collaborative IR, (2) list the challenges for designing and evaluating collaborative IR systems, and (3) show how traditional single user IR models and systems could be mapped to those for CIS. This will be achieved through introduction to appropriate literature, algorithms and interfaces that facilitate CIS, and methodologies for studying and evaluating them. Thus, the course will offer a balance between theoretical and practical elements of CIS.