Report on the SIGIR 2013 Workshop on Adaptive Retrieval and Recommender Systems

Castells, P., Hopfgartner, F. , Said, A. and Lalmas, M. (2013) Report on the SIGIR 2013 Workshop on Adaptive Retrieval and Recommender Systems. Documentation. ACM.

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In recent years, immense progress has been made in the development of recommendation, retrieval, and personalisation techniques. The evaluation of these systems is still based on traditional information retrieval and statistics metrics, e.g., precision, recall and/or RMSE, often not taking the use-case and situation of the actual system into consideration. However, the rapid evolution of recommender and adaptive IR systems in both their goals and their application domains foster the need for new evaluation methodologies and environments. In the Workshop on Benchmarking Adaptive Retrieval and Recommender Systems, we aimed to provide a platform for discussions on novel evaluation and benchmarking approaches.

Item Type:Research Reports or Papers (Documentation)
Glasgow Author(s) Enlighten ID:Hopfgartner, Dr Frank and Lalmas, Professor Mounia
Authors: Castells, P., Hopfgartner, F., Said, A., and Lalmas, M.
College/School:College of Arts > School of Humanities > Information Studies
College of Science and Engineering > School of Computing Science
Journal Name:SIGIR Forum

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