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Exploiting Novelty and Diversity in Tag Recommendation., , , and . ECIR, volume 7814 of Lecture Notes in Computer Science, page 380-391. Springer, (2013)Topic diversity in tag recommendation., , , and . RecSys, page 141-148. ACM, (2013)Rank Fusion and Multimodal Per-topic Adaptiveness for Diverse Image Retrieval., , , , , , , , , and 1 other author(s). MediaEval, volume 1984 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)Assessing the quality of textual features in social media., , , , , , and . Inf. Process. Manag., 49 (1): 222-247 (2013)Demand-Driven Tag Recommendation., , , , , , , , and . ECML/PKDD (2), volume 6322 of Lecture Notes in Computer Science, page 402-417. Springer, (2010)Beyond relevance: on novelty and diversity in tag recommendation.. SIGIR, page 1140. ACM, (2013)Automatic query expansion based on tag recommendation., , , , , , and . CIKM, page 1985-1989. ACM, (2012)Associative tag recommendation exploiting multiple textual features., , , , and . SIGIR, page 1033-1042. ACM, (2011)Evidence of quality of textual features on the web 2.0., , , , , , , and . CIKM, page 909-918. ACM, (2009)Automatic Generation of Initial Reading Lists: Requirements and Solutions., , , and . JCDL, page 1-10. IEEE, (2019)