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» Beyond accuracy: evaluating recommender systems by coverage ...
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ACL
1989
13 years 7 months ago
Evaluating Discourse Processing Algorithms
In order to take steps towards establishing a methodology for evaluating Natural Language systems, we conducted a case study. We attempt to evaluate two different approaches to an...
Marilyn A. Walker
ECWEB
2011
Springer
233views ECommerce» more  ECWEB 2011»
12 years 5 months ago
Rating Elicitation Strategies for Collaborative Filtering
The accuracy of collaborative filtering recommender systems largely depends on two factors: the quality of the recommendation algorithm and the nature of the available item rating...
Mehdi Elahi, Valdemaras Repsys, Francesco Ricci
MDM
2010
Springer
151views Communications» more  MDM 2010»
13 years 4 months ago
diffeRS: A Mobile Recommender Service
—Thanks to advances in mobile technology, modern mobile devices have become essential companions, assisting their users in attaining their daily tasks. It will not be long before...
Lucia Del Prete, Licia Capra
WWW
2007
ACM
14 years 6 months ago
Yago: a core of semantic knowledge
We present YAGO, a light-weight and extensible ontology with high coverage and quality. YAGO builds on entities and relations and currently contains more than 1 million entities a...
Fabian M. Suchanek, Gjergji Kasneci, Gerhard Weiku...