( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Improving Collaborative Filtering Using a Cognitive Model of Human Category Learning

, , , и . Journal of Web Science, 2 (1): 45--61 (января 2017)
DOI: 10.1561/106.00000007

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Helga Lex

Claudia Lex

Claudia Lex

Thomas Lex

Peter Lex

 

Другие публикации лиц с тем же именем

A Critical Look at the ResearchGate Score as a Measure of Scientific Reputation, и . Quantifying and Analysing Scholarly Communication on the Web (ASCW'15), (2015)AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments., , , и . CIKM Workshops, том 2482 из CEUR Workshop Proceedings, CEUR-WS.org, (2018)mCPT at SemEval-2023 Task 3: Multilingual Label-Aware Contrastive Pre-Training of Transformers for Few- and Zero-shot Framing Detection., , , и . SemEval@ACL, стр. 941-949. Association for Computational Linguistics, (2023)A Novel Visualization Approach for Data-Mining-Related Classification., и . IV, стр. 490-495. IEEE Computer Society, (2009)The Impact of Semantic Context Cues on the User Acceptance of Tag Recommendations: An Online Study., , , и . WWW (Companion Volume), стр. 1-2. ACM, (2018)Robustness of Meta Matrix Factorization Against Strict Privacy Constraints., , и . ECIR (2), том 12657 из Lecture Notes in Computer Science, стр. 107-119. Springer, (2021)The Influence of Social Status on Consensus Building in Collaboration Networks., , , , и . ASONAM, стр. 162-169. ACM, (2015)Supporting collaborative learning with tag recommendations: a real-world study in an inquiry-based classroom project., , , , и . LAK, стр. 409-418. ACM, (2017)A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations., , , и . BIAS, том 1840 из Communications in Computer and Information Science, стр. 1-16. Springer, (2023)Structack: Structure-based Adversarial Attacks on Graph Neural Networks., , , , , и . HT, стр. 111-120. ACM, (2021)