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Refining Frequency-Based Tag Reuse Predictions by Means of Time and Semantic Context.

, , , , , and . MSM/MUSE, volume 8940 of Lecture Notes in Computer Science, page 55-74. Springer, (2013)

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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.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)Long-term dynamics of fairness: understanding the impact of data-driven targeted help on job seekers., , , and . CoRR, (2022)The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias., , , and . ECIR (4), volume 14611 of Lecture Notes in Computer Science, page 466-482. Springer, (2024)My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music., , , and . ASONAM, page 447-454. ACM, (2021)Recommending tags with a model of human categorization., , , and . CIKM, page 2381-2386. ACM, (2013)Recommending Items in Social Tagging Systems Using Tag and Time Informations., , , , and . HT (Doctoral Consortium / Late-breaking Results / Workshops), volume 1210 of CEUR Workshop Proceedings, CEUR-WS.org, (2014)High Enough?: Explaining and Predicting Traveler Satisfaction Using Airline Reviews., , and . HT, page 249-254. ACM, (2016)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)Modeling Activation Processes in Human Memory to Improve Tag Recommendations.. SIGIR Forum, 51 (3): 166 (2017)