Deep Learning for Recommender Systems: A Netflix Case Study | AI Magazine
Deep Learning for Recommender Systems: A Netflix Case Study Authors Harald Steck Netflix Linas Baltrunas Netflix Ehtsham Elahi Netflix Dawen Liang Netflix Yves Raimond Netflix Justin Basilico Netflix DOI: https://doi.org/10.1609/aimag.v42i3.18140 Abstract Deep learning has profoundly impacted many areas of machine learning. However, it took a while for its impact to be felt in the field of recomme
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
Modern recommender systems model people and items by discovering or `teasing apart' the underlying dimensions that encode the properties of items and users' preferences toward them. Critically, such dimensions are uncovered based on user feedback, often in implicit form (such as purchase histories, browsing logs, etc.); in addition, some recommender systems make use of side information, such as pr
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Explainable Reasoning over Knowledge Graphs for Recommendation | Proceedings of the AAAI Conference on Artificial Intelligence
http://cseweb.ucsd.edu/~jmcauley/pdfs/aaai16.pdf
