3 Matching Annotations
- Jun 2021
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psyarxiv.com psyarxiv.com
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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
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- Sep 2020
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psyarxiv.com psyarxiv.com
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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
- AI
- Internet
- artificial intelligence
- experimental approach
- computer science
- recommendation accuracy
- machine learning
- active learning
- exploration-exploitation tradeoff
- information filtering
- lang:en
- recommender system
- predictive accuracy
- cognitive science
- parameterized model
- is:preprint
- algorithms
Annotators
URL
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- Jan 2016
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www.ifets.info www.ifets.info
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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
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