Abstract
News recommender systems provide users with access to news stories that they find interesting and relevant. As other online, stream-based recommender systems, they face particular challenges, including limited information on users’ preferences and also rapidly fluctuating item collections. In addition, technical aspects, such as response time and scalability, must be considered. Both algorithmic and technical considerations shape working requirements for real-world recommender systems in businesses. NewsREEL represents a unique opportunity to evaluate recommendation algorithms and for students to experience realistic conditions and to enlarge their skill sets. The NewsREEL Challenge requires participants to conduct data-driven experiments in NewsREEL Replay as well as deploy their best models into NewsREEL Live’s ‘living lab’. This paper presents NewsREEL 2017 and also provides insights into the effectiveness of NewsREEL to support the goals of instructors teaching recommender systems to students. We discuss the experiences of NewsREEL participants as well as those of instructors teaching recommender systems to students, and in this way, we showcase NewsREEL’s ability to support the education of future data scientists.
Original language | English |
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Title of host publication | Experimental IR Meets Multilinguality, Multimodality, and Interaction |
Subtitle of host publication | 8th International Conference of the CLEF Association, CLEF 2017, Proceedings |
Editors | Gareth J.F. Jones, Séamus Lawless, Julio Gonzalo, Liadh Kelly, Lorraine Goeuriot, Thomas Mandl, Linda Cappellato, Nicola Ferro |
Place of Publication | Cham |
Publisher | Springer |
Pages | 239-254 |
Number of pages | 16 |
ISBN (Electronic) | 978-3-319-65813-1 |
ISBN (Print) | 978-3-319-65812-4 |
DOIs | |
Publication status | Published - 2017 |
Event | CLEF 2017 - Conference and Labs of the Evaluation Forum: Information Access Evaluation meets Multilinguality, Multimodality, amd Visualization - Dublin, Ireland Duration: 11 Sept 2017 → 14 Sept 2017 Conference number: 8 http://clef2017.clef-initiative.eu/ |
Publication series
Name | Lecture Notes in Computer Science |
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Volume | 10456 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | CLEF 2017 - Conference and Labs of the Evaluation Forum |
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Country/Territory | Ireland |
City | Dublin |
Period | 11/09/17 → 14/09/17 |
Internet address |
Keywords
- Recommender systems
- News
- Evaluation
- Living lab
- stream-based recommender