Join the Living Lab: Evaluating News Recommendations in Real-Time

Hopfgartner, F. and Brodt, T. (2015) Join the Living Lab: Evaluating News Recommendations in Real-Time. In: 37th European Conference on Information Retrieval (ECIR'15), Vienna, Austria, 29 Mar - Apr 2 2015, pp. 826-829. ISBN 9783319163543 (doi:10.1007/978-3-319-16354-3_95)

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Abstract

Participants of this tutorial learnt how to participate in CLEF NEWSREEL, a living lab for the evaluation of news recommender algorithms. Various research challenges can be addressed within NEWSREEL, such as the development and evaluation of collaborative filtering or content-based filtering strategies. Satisfying information needs by techniques including preference elicitation, pattern recognition, and prediction, recommender systems connect the research areas information retrieval and machine learning.

Item Type:Conference Proceedings
Additional Information:Lecture Notes in Computer Science Vol. 9022
Status:Published
Refereed:No
Glasgow Author(s) Enlighten ID:Hopfgartner, Dr Frank
Authors: Hopfgartner, F., and Brodt, T.
College/School:College of Arts > School of Humanities > Humanities Advanced Technology and Information Institute (HATII)
Publisher:Springer Verlag
ISSN:0302-9743
ISBN:9783319163543
Copyright Holders:Copyright © 2015 Springer International Publishing
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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