System for comparing topic suggestion algorithms using multiple evaluation properties
Recommender systems are core components for many companies. These companies constantly improve their functionality aiming to maximize user satisfaction from their products. The only evaluation of the recommender systems usually done by the companies is performed in an online experiment on actual dat...
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Format: | Others |
Language: | English |
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KTH, Skolan för informations- och kommunikationsteknik (ICT)
2014
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-188169 |