現在推薦系統得到了廣泛的應用，在百度、京東、淘寶、豆瓣等均到看推薦系統的影子。推薦系統屬於機器學習的範疇，是一種預測模型，其型別大致可以分為：（1）使用者評分預測推薦（2）top-n 推薦（3）分類推薦。一般有collaborative filtering方法、基於內容相似度推薦和混合推薦等類別。

Comprehensive Survey

• Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions, 2005
  Recommender systems survey, 2013
• A survey of recommendation system: Research challenges, 2013
• Recommender systems research: A connection-centric survey, 2004
• A survey of accuracy evaluation metrics of recommendation tasks, 2009
• Survey of cold-start problem in collaborative filtering recommender system, 2012
• A survey on recommendation system for big data applications, 2015
• Evaluating collaborative filtering recommender systems, 2004
• A survey of recommender systems techniques, challenges and evaluation metrics, 2012
• A survey of explanations in recommender systems, 2007
• A literature review and classification of recommender systems research, 2012
• A comprehensive survey of neighborhood-based recommendation methods, 2011

Collaborative filtering

• A survey of collaborative filtering techniques, 2009
  Collaborative filtering beyond the user-item matrix: A survey of the state of the art and future challenges, 2014
• A survey of collaborative filtering based social recommender systems, 2014
• A survey of collaborative filtering algorithm applied in E-commerce recommender system, 2006
• Collaborative filtering recommender systems, 2014
• Collaborative filtering based recommendation system: A survey, 2012
• A survey of collaborative recommendation and the robustness of model-based algorithms., 2008

Content based recommender system

• Content-based recommender systems: State of the art and trends, 2011
• Content-based recommendation systems, 2007

Hybrid recommender system

• Hybrid recommender systems: Survey and experiments, 2002
• A hybrid recommender system for context-aware - recommendations of mobile applications, 2007
• Deep learning based recommender system
• Deep Learning based Recommender System: A Survey and New Perspectives, 2017
• A Survey and Critique of Deep Learning on Recommender Systems, 2016
• Deep Learning Based Recommendation: A Survey, 2017
• Deep Learning Methods on Recommender System: A - Survey of State-of-the-art, 2016

Context-aware recommender system

• Context-aware recommender systems for learning: a survey and future challenges, 2012
• Time-aware recommender systems: a comprehensive survey and analysis of existing evaluation protocols, 2014
• A survey on context-aware recommender systems based on computational intelligence techniques, 2015
• Context-aware recommender systems, 2011
• A systematic review of scholar context-aware recommender systems, 2014
• Context-aware systems: A literature review and classification, 2008

Cross domain recommender system

• Cross-domain collaborative filtering: A brief survey, 2011
• Cross-domain recommender systems: A survey of the state of the art, 2012
• Cross Domain Recommender Systems: A Systematic Literature Review, 2017

POI recommender system

• A Survey of Point-of-Interest Recommendation in Location-Based Social Networks, 2015

Others

• Recommender system application developments: A survey, 2015
• A survey paper on e-learning recommender system, 2012
• A survey of e-commerce recommender systems, 2007
• Tag-aware recommender systems: a state-of-the-art survey, 2011
• Job recommender systems: a survey, 2012
• Intelligent tourism recommender systems: A survey, 2014
• A Survey of Recommender System Applied in E-commerce, 2004
• A Survey of Recommender Systems in Twitter, 2012
• Shilling attacks against recommender systems: a comprehensive survey
• A survey paper on recommender systems, 2010
• paper recommender systems: a literature survey, 2016
• A survey of music recommendation systems and future perspectives, 2012
• A short survey of recommendation technologies in travel and tourism, 2007
• A survey of job recommender systems, 2012
• Trust-aware recommender systems, 2007
• A connection-centric survey of recommender systems research, 2002
• Application domain and functional classification of recommender systems–a survey, 2008
• A literature review of recommender systems in the television domain, 2015