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The Influence of Frequency, Recency and Semantic Context on the Reuse of Tags in Social Tagging Systems.

, and . HT, page 237-242. ACM, (2016)

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The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems., , and . CoRR, (2019)Recommending tags with a model of human categorization., , , and . CIKM, page 2381-2386. ACM, (2013)TagRec: towards a toolkit for reproducible evaluation and development of tag-based recommender algorithms., , and . SIGWEB Newsl., 2015 (Winter): 3:1-3:10 (2015)Long-term dynamics of fairness: understanding the impact of data-driven targeted help on job seekers., , , and . CoRR, (2022)ReuseKNN: Neighborhood Reuse for Privacy-Aware Recommendations., , , and . CoRR, (2022)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.Mitigating Confirmation Bias on Twitter by Recommending Opposing Views., , and . CoRR, (2018)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)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)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)