Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends-Reference-Cited by-同舟云学术

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Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends

Published:2024-06-27 Issue: Volume: Page:13-16
ISSN:
Container-title:Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
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Author:

Purificato Erasmo¹^ORCID,Boratto Ludovico²^ORCID,De Luca Ernesto William³^ORCID

Affiliation:

1. Institute of Technical and Business Information Systems | Human-Centred AI Group, Otto von Guericke University Magdeburg, Germany

2. Department of Mathematics and Computer Science, University of Cagliari, Italy

3. Leibniz Institute for Educational Media | Georg Eckert Institute, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3631700.3653062

Reference23 articles.

1. FairUP: A Framework for Fairness Analysis of Graph Neural Network-Based User Profiling Models

2. Transparent, Scrutable and Explainable User Models for Personalized Recommendation

3. Peter Brusilovski, Alfred Kobsa, and Wolfgang Nejdl. 2007. The Adaptive Web: Methods and Strategies of Web Personalization. Springer Science & Business Media.

4. Peter Brusilovsky Alfred Kobsa and Julita Vassileva (Eds.). 1998. Adaptive Hypertext and Hypermedia. Springer Netherlands Dordrecht. https://link.springer.com/10.1007/978-94-017-0617-9

5. Multi-Behavior Recommendation with Cascading Graph Convolution Networks

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