Rank and relevance in novelty and diversity metrics for recommender systems
Proceedings of the fifth ACM conference on Recommender systems
Explicit relevance models in intent-oriented information retrieval diversification
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
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We propose to explicitly exploit issues related to novelty and diversity in tag recommendation tasks, an unexplored research avenue (only relevance issues have been investigated so far), in order to improve user experience and satisfaction. We propose new tag recommendation strategies to cover these issues and highlight the involved challenges.