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Towards employing recommender systems for supporting data and algorithm sharing.

, , , , и . DE@CoNEXT, стр. 8-14. ACM, (2022)

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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.Recommending tags with a model of human categorization., , , и . CIKM, стр. 2381-2386. ACM, (2013)The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems., , и . CoRR, (2019)Mitigating Confirmation Bias on Twitter by Recommending Opposing Views., , и . CoRR, (2018)TagRec: towards a toolkit for reproducible evaluation and development of tag-based recommender algorithms., , и . SIGWEB Newsl., 2015 (Winter): 3:1-3:10 (2015)High Enough?: Explaining and Predicting Traveler Satisfaction Using Airline Reviews., , и . HT, стр. 249-254. ACM, (2016)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)Long-term dynamics of fairness: understanding the impact of data-driven targeted help on job seekers., , , и . CoRR, (2022)ReuseKNN: Neighborhood Reuse for Privacy-Aware Recommendations., , , и . CoRR, (2022)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)