3 Matching Annotations
- Jun 2021
-
psyarxiv.com psyarxiv.com
-
Yesilada, M., & Lewandowsky, S. (2021). A systematic review: The YouTube recommender system and pathways to problematic content. PsyArXiv. https://doi.org/10.31234/osf.io/6pv5c
-
- Sep 2020
-
psyarxiv.com psyarxiv.com
-
Yang, Scott Cheng-Hsin, Chirag Rank, Jake Alden Whritner, Olfa Nasraoui, and Patrick Shafto. ‘Unifying Recommendation and Active Learning for Information Filtering and Recommender Systems’. Preprint. PsyArXiv, 25 August 2020. https://doi.org/10.31234/osf.io/jqa83.
Tags
- artificial intelligence
- predictive accuracy
- exploration-exploitation tradeoff
- cognitive science
- algorithms
- recommender system
- AI
- experimental approach
- computer science
- parameterized model
- is:preprint
- active learning
- lang:en
- machine learning
- Internet
- recommendation accuracy
- information filtering
Annotators
URL
-
- Jan 2016
-
www.ifets.info www.ifets.info
-
ollaborative filtering system recommends items that are liked by other users with similar interests
Definition of recommender system to be added in introduction
Tags
Annotators
URL
-