近年推荐系统论文调查汇总

现在推荐系统得到了广泛的应用，在百度、京东、淘宝、豆瓣等均到看推荐系统的影子。推荐系统属于机器学习的范畴，是一种预测模型，其类型大致可以分为：（1）用户评分预测推荐（2）top-n 推荐（3）分类推荐。一般有collaborative filtering方法、基于内容相似度推荐和混合推荐等类别。

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

from：http://shuaizhang.tech/2017/07/28/Summary-of-Recommender-System-Surveys-in-recent-years/

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