转载自:http://blog.sciencenet.cn/blog-210641-508634.html

    为了方便大家从理论到实践,从入门到精通,循序渐进系统地理解掌握推荐系统及相关
知识。特做了个读物清单。大家可以按此表阅读,也欢迎提出意见和指出未标明的经典文献
以丰富各学科需求(为避免初学者疲于奔命,每个方向只推荐几篇经典文献)。
 
1. 中文综述(了解概念-入门篇)
   a) 个性化推荐系统的研究进展
   b) 个性化推荐系统评价方法综述
 
2. 英文综述(了解概念-进阶篇)
   a) 2004ACMTois-Evaluating collaborative filtering recommender systems
   b) 2004ACMTois -Introduction to Recommender Systems - Algorithms and evaluation
   c) 2005IEEEtkde Toward the next generation of recommender systems - A survey of the 
state-of-the-art and possible extensions
 
3. 动手能力(实践算法-入门篇)
   a) 2004ACMtois Item-based top-N recommendation algorithms.pdf (协同过滤)
   b) 2007PRE Bipartite network projection and personal recommendation.pdf (网络结构)
 
4. 动手能力(实践算法-进阶篇)
   a) 2010PNAS-Solving the apparent diversity-accuracy dilemma of recommender 
systems.pdf (物质扩散和热传导)
   b) 2009NJP Accurate and diverse recommendations via eliminating redundant 
correlations.pdf (多步物质扩散)
   c) 2008EPL Effect of initial configuration on network-based Recommendation.pdf (初始资源分配问题)
 
5. 推荐系统扩展应用(进阶篇)
   a) 2009EPJB Predicting missing links via local information.pdf (相似性度量方法)
   b) 2010theis-Evaluating Collaborative Filtering over time.pdf (基于时间效应的博士论文)
   c) 2009PA Personalized recommendation via integrated diffusion on user-item-tag 
tripartite graphs.pdf (基于标签的三部分图方法)
   d) 2004LNCS Trust-aware collaborative filtering for recommender systems.pdf(基于信任机制)
   e) 1997CA-Fab_content-based, collaborative recommendation.pdf (基于文本信息)
 
6. 推荐结果的解释(进阶篇)
   a) 2000CSCW-Explaining Collaborative Filtering Recommendations.pdf
   b) 2011PRE-Information filtering via biased heat conduction.pdf
   c) 2011PRE- Information filtering via preferential diffusion.pdf
   d) 2010EPL Link Prediction in weighted networks - The role of weak ties
   e) 2010EPL-Solving the cold-start problem in recommender systems with social tags.pdf
 
7. 推荐系统综合篇(专著、大型综述、博士论文)
   a) 2005Ziegler-thesis-Towards Decentralized Recommender Systems.pdf
   b) 2010Recommender Systems Handbook.pd