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Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach.

, , and . WWW, page 1401-1410. ACM, (2017)

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Recommending tags with a model of human categorization., , , and . CIKM, page 2381-2386. ACM, (2013)The Influence of Frequency, Recency and Semantic Context on the Reuse of Tags in Social Tagging Systems, and . (2016)cite arxiv:1604.00837Comment: Accepted by Hypertext 2016 conference as short paper.ReuseKNN: Neighborhood Reuse for Privacy-Aware Recommendations., , , and . CoRR, (2022)Long-term dynamics of fairness: understanding the impact of data-driven targeted help on job seekers., , , and . CoRR, (2022)Mitigating Confirmation Bias on Twitter by Recommending Opposing Views., , and . CoRR, (2018)The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems., , and . CoRR, (2019)TagRec: towards a toolkit for reproducible evaluation and development of tag-based recommender algorithms., , and . SIGWEB Newsl., 2015 (Winter): 3:1-3:10 (2015)The Impact of Time on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach., and . GI-Jahrestagung, volume P-294 of LNI, page 285-286. GI, (2019)Analytics for Everyday Learning from two Perspectives: Knowledge Workers and Teachers., , , , , and . AFEL@EC-TEL, volume 2209 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)High Enough?: Explaining and Predicting Traveler Satisfaction Using Airline Reviews., , and . HT, page 249-254. ACM, (2016)