Human uncertainty in explicit user feedback and its impact on the comparative evaluations of accurate prediction and personalisation

Author:

Jasberg Kevin1,Sizov Sergej1

Affiliation:

1. Web Science Research Group at Heinrich-Heine-University, Duesseldorf, Germany

Publisher

Informa UK Limited

Subject

Human-Computer Interaction,General Social Sciences,Arts and Humanities (miscellaneous),Developmental and Educational Psychology

Reference58 articles.

1. Amatriain, X., and J. Pujol. 2009. “Rate it Again: Increasing Recommendation Accuracy by User Re-rating.” Proceedings of the Third ACM Conference on Recommender Systems, 173–180. New York: ACM.

2. Amatriain, X, J. M. Pujol, and N. Oliver. 2009. “I Like It…I Like it Not: Evaluating User Ratings Noise in Recommender Systems. Proceedings of UMAP, Trento, Italy, 247–258.

3. Beel, J., M. Genzmehr, S. Langer, A. Nürnberger, and B. Gipp. 2013. “A Comparative Analysis of Offline and Online Evaluations and Discussion of Research Paper Recommender System Evaluation.” Proceedings of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation, Hong Kong, China, 7–14. RecSys '13.

4. Matrix Factorization Techniques for Recommender Systems

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3. Integrating Adaptive Mechanisms into Mobile Applications Exploiting User Feedback;Research Challenges in Information Science;2021

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