Paper Collection of Recommender System

This is a collection of research and review papers of recommender system techniques. The sharing principle of these references here is for research. If any authors do not want their paper to be listed here, please feel free to contact Y. Jia.

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If you find a paper about recommender system techniques or review which is not listed here, please

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Table of Contents

• Books / Slides
• Review Papers
• Recommendation Algorithm
  • Deep Learning
• Systems
• Datasets

Books / Slides

• Recommender System An Introduction by Dietmar Jannach, Markus Zanker, Alexander Felfernig and Gerhard Friedrich.
• Recommender System An introduction by Dietmar Jannach, Slides presented at PhD School 2014, University Szeged, Hungary.

Review Papers

• Deep Learning based Recommender System: A Survey and New Perspectives by Shuai Zhang, Lina Yao, Aixin Sun. Arxiv 2017.

Recommendation Algorithm

Collaborative Filtering

• Collaborative Filtering for Implicit Feedback Datasets by Yifan Hu, Yehuda Koren and Chris Volinsky. IEEE International Conference on Data Mining 2008.

Embedding

• Real-time Personalization using Embeddings for Search Ranking at Airbnb by Mihajlo Grbovic and Haibin Cheng. KDD 2018.

Deep Learning

• Deep Neural Networks for YouTube Recommendations by Paul Covington, Jay Adams, Emre Sargin. RecSys 2016.

Diversity

• Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity by Laming Chen, Guoxin Zhang and Hanning Zhou. NIPS 2018.

Systems

• The Netflix Recommender System: Algorithms, Business Value, and Innovation by CARLOS A. GOMEZ-URIBE and NEIL HUNT. ACM Transactions on Management Information Systems 2015.
• The YouTube Video Recommendation System by James Davidson, Benjamin Liebald, Junning Liu, Palash Nandy, Taylor Van Vleet, Ullas Gargi, Sujoy Gupta, Yu He, Mike Lambert, Blake Livingston, Dasarathi Sampath. RecSys 2010.

Datasets

• MovieLens Dataset by GroupLens.