CLEF 2014 Conference and Labs of the Evaluation Forum: Information Access Evaluation Meets Multilinguality, Multimodality and Interaction, 15-18 September 2014, Sheffield, United KingdomThis paper presents the recommendation algorithms used by the Insight UCD team participating in the CLEF-NewsREEL 2014 online news recommendation challenge.Science Foundation Irelan
The CLEF NewsREEL challenge allows researchers to evaluate news recommendation algorithms both onli...
News recommender systems provide users with access to news stories that they find interesting and re...
Providing high-quality news recommendations is a challenging task because the set of potentially rel...
CLEF 2014 Conference and Labs of the Evaluation Forum: Information Access Evaluation Meets Multiling...
This paper summarises objectives, organisation, and results of the first news recommendation evaluat...
This paper summarises objectives, organisation, and results of the first news recommendation evalua...
The CLEF NewsREEL challenge allows researchers to evaluate news recommendation algorithms both onlin...
News reader struggle as they face ever increasing numbers of articles. Digital news portals are bec...
News reader struggle as they face ever increasing numbers of articles. Digital news portals are bec...
Running in its third year at CLEF, NewsREEL challenged participants to develop news recommendation ...
Running in its third year at CLEF, NewsREEL challenged participants to develop news recommendation ...
Recommender System research has evolved to focus on developing algorithms capable of high performanc...
The CLEF NewsREEL challenge is a campaign-style evaluation lab allowing participants to evaluate and...
textabstractSuccessful news recommendation requires facing the challenges of dynamic item sets, cont...
Recommender System research has evolved to focus on developing algorithms capable of high performanc...
The CLEF NewsREEL challenge allows researchers to evaluate news recommendation algorithms both onli...
News recommender systems provide users with access to news stories that they find interesting and re...
Providing high-quality news recommendations is a challenging task because the set of potentially rel...
CLEF 2014 Conference and Labs of the Evaluation Forum: Information Access Evaluation Meets Multiling...
This paper summarises objectives, organisation, and results of the first news recommendation evaluat...
This paper summarises objectives, organisation, and results of the first news recommendation evalua...
The CLEF NewsREEL challenge allows researchers to evaluate news recommendation algorithms both onlin...
News reader struggle as they face ever increasing numbers of articles. Digital news portals are bec...
News reader struggle as they face ever increasing numbers of articles. Digital news portals are bec...
Running in its third year at CLEF, NewsREEL challenged participants to develop news recommendation ...
Running in its third year at CLEF, NewsREEL challenged participants to develop news recommendation ...
Recommender System research has evolved to focus on developing algorithms capable of high performanc...
The CLEF NewsREEL challenge is a campaign-style evaluation lab allowing participants to evaluate and...
textabstractSuccessful news recommendation requires facing the challenges of dynamic item sets, cont...
Recommender System research has evolved to focus on developing algorithms capable of high performanc...
The CLEF NewsREEL challenge allows researchers to evaluate news recommendation algorithms both onli...
News recommender systems provide users with access to news stories that they find interesting and re...
Providing high-quality news recommendations is a challenging task because the set of potentially rel...