News Recommenders: Real-Time, Real-Life Experiences

DSpace/Manakin Repository

Show simple item record Doychev, Doychin Rafter, Rachael Lawlor, Aonghus Smyth, Barry 2017-04-20T16:05:13Z 2017-04-20T16:05:13Z 2015 Springer en 2015-06-03
dc.description UMAP 2015: 23rd International Conference on User Modeling, Adaptation, and Personalization, Dublin, Ireland, 29 June - 03 July 2017 en
dc.description.abstract In this paper we share our experiences of working with a real-time news recommendation framework with real-world user and news data. We discuss the challenges faced while working in such a noisy but uniquely real-world context. Specifically, we focus on an initial evaluation of a 12 different news recommendation algorithms across 7 different German news sites, including general news, sports, business, and technology related news sites. We compare the performance of these algorithms, paying particular attention to their relative click-through rates and how this can vary with time of day and news domain. en
dc.description.sponsorship Science Foundation Ireland en
dc.language.iso en en
dc.publisher Springer en
dc.relation.ispartof Ricci, F., Bontcheva, K., Conlan, O. and Lawless, S. (eds.). Proceedings of UMAP 2015: 23rd International Conference on User Modeling, Adaptation, and Personalization en
dc.rights The final publication is available at Springer via . en
dc.subject Recommender systems en
dc.subject New recommender systems en
dc.subject Real-time recommendation frameworks en
dc.subject Adapting/contextualizing recommendations en
dc.title News Recommenders: Real-Time, Real-Life Experiences en
dc.type Conference Publication en
dc.status Peer reviewed en
dc.identifier.startpage 337 en
dc.identifier.endpage 342 en
dc.identifier.doi 10.1007/978-3-319-20267-9_28
dc.neeo.contributor Doychev|Doychin|aut|
dc.neeo.contributor Rafter|Rachael|aut|
dc.neeo.contributor Lawlor|Aonghus|aut|
dc.neeo.contributor Smyth|Barry|aut| 2016-01-19T15:51:32Z

This item appears in the following Collection(s)

Show simple item record

This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.

If you are a publisher or author and have copyright concerns for any item, please email and the item will be withdrawn immediately. The author or person responsible for depositing the article will be contacted within one business day.

Search Research Repository

Advanced Search