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Improving Cold-Start Recommendations with Social-Media Trends and Reputations.

, , , and . IDA, volume 10584 of Lecture Notes in Computer Science, page 297-309. Springer, (2017)

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PopMeter: Linked-Entities in a Sentiment Graph.. ECIR, volume 9022 of Lecture Notes in Computer Science, page 785-788. (2015)A Regularized Recommendation Algorithm with Probabilistic Sentiment-Ratings., , and . ICDM Workshops, page 701-708. IEEE Computer Society, (2012)Learning Ranked Sentiment Lexicons., and . CICLing (2), volume 9042 of Lecture Notes in Computer Science, page 35-48. Springer, (2015)A recommender system for the TV on the web: integrating unrated reviews and movie ratings., , , and . Multimedia Syst., 19 (6): 543-558 (2013)Learning Sentiment Based Ranked-Lexicons for Opinion Retrieval., and . ECIR, volume 9022 of Lecture Notes in Computer Science, page 435-440. (2015)Reputation analysis with a ranked sentiment-lexicon., , and . SIGIR, page 1207-1210. ACM, (2014)Ranking Linked-Entities in a Sentiment Graph., , and . WI-IAT (1), page 118-125. IEEE Computer Society, (2014)Explanatory opinions: to whom or what is all the fuzz about?, , and . FDIA, BCS, (2015)Improving Cold-Start Recommendations with Social-Media Trends and Reputations., , , and . IDA, volume 10584 of Lecture Notes in Computer Science, page 297-309. Springer, (2017)Learning Text Patterns to Detect Opinion Targets., and . KDIR, page 337-343. SciTePress, (2015)