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

, и . (2016)cite arxiv:1604.00837Comment: Accepted by Hypertext 2016 conference as short paper.

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Long-term dynamics of fairness: understanding the impact of data-driven targeted help on job seekers., , , и . CoRR, (2022)The Influence of Frequency, Recency and Semantic Context on the Reuse of Tags in Social Tagging Systems, и . (2016)cite arxiv:1604.00837Comment: Accepted by Hypertext 2016 conference as short paper.Analytics for Everyday Learning from two Perspectives: Knowledge Workers and Teachers., , , , , и . AFEL@EC-TEL, том 2209 из 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., , , и . ASONAM, стр. 447-454. ACM, (2021)Recommending Items in Social Tagging Systems Using Tag and Time Informations., , , , и . HT (Doctoral Consortium / Late-breaking Results / Workshops), том 1210 из CEUR Workshop Proceedings, CEUR-WS.org, (2014)The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias., , , и . ECIR (4), том 14611 из Lecture Notes in Computer Science, стр. 466-482. Springer, (2024)The Impact of Time on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach., и . GI-Jahrestagung, том P-294 из LNI, стр. 285-286. GI, (2019)High Enough?: Explaining and Predicting Traveler Satisfaction Using Airline Reviews., , и . HT, стр. 249-254. ACM, (2016)Recommending tags with a model of human categorization., , , и . CIKM, стр. 2381-2386. ACM, (2013)Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems., и . BIAS, том 1610 из Communications in Computer and Information Science, стр. 1-11. Springer, (2022)