Benchmarking news recommendations: the CLEF NewsREEL use case

Hopfgartner, F. , Brodt, T., Seiler, J., Kille, B., Lommatzsch, A., Larson, M., Turrin, R. and Serény, A. (2015) Benchmarking news recommendations: the CLEF NewsREEL use case. SIGIR Forum, 49(2), pp. 129-136. (doi:10.1145/2888422.2888443)

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Abstract

The CLEF NewsREEL challenge is a campaign-style evaluation lab allowing participants to evaluate and optimize news recommender algorithms. The goal is to create an algorithm that is able to generate news items that users would click, respecting a strict time constraint. The lab challenges participants to compete in either a "living lab" (Task 1) or perform an evaluation that replays recorded streams (Task 2). In this report, we discuss the objectives and challenges of the NewsREEL lab, summarize last year's campaign and outline the main research challenges that can be addressed by participating in NewsREEL 2016.

Item Type:Articles
Status:Published
Refereed:No
Glasgow Author(s) Enlighten ID:Hopfgartner, Dr Frank
Authors: Hopfgartner, F., Brodt, T., Seiler, J., Kille, B., Lommatzsch, A., Larson, M., Turrin, R., and Serény, A.
College/School:College of Arts > School of Humanities > Humanities Advanced Technology and Information Institute (HATII)
Journal Name:SIGIR Forum
Publisher:ACM Special Interest Group
ISSN:0163-5840
ISSN (Online):1558-0229
Copyright Holders:Copyright © 2015 ACM
First Published:First published in SIGIR Forum 49(2):129-136
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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