推薦系統的循序高階讀物（從入門到精通）

為了方便大家從理論到實踐，從入門到精通，循序漸進系統地理解和掌握推薦系統相關知識。特做了個讀物清單。大家可以按此表閱讀，也歡迎提出意見和指出未標明的經典文獻以豐富各學科需求（為避免初學者疲於奔命，每個方向只推薦幾篇經典文獻）。

1. 中文綜述(了解概念-入門篇)

a) 個性化推薦系統的研究進展

b) 個性化推薦系統評價方法綜述

2. 英文綜述(了解概念-高階篇)

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. 動手能力(實踐演算法-入門篇)

a) 2004acmtois item-based top-n recommendation algorithms(協同過濾)

b) 2007pre bipartite network projection and personal recommendation(網路結構)

4. 動手能力(實踐演算法-高階篇)

b) 2009njp accurate and diverse recommendations via eliminating redundant correlations (多步物質擴散)

c) 2008epl effect of initial configuration on network-based recommendation (初始資源分配問題)

5. 推薦系統擴充套件應用(高階篇)

a) 2009epjb predicting missing links via local information(相似性度量方法)

b) 2010theis-evaluating collaborative filtering over time(基於時間效應的博士**)

c) 2009pa personalized recommendation via integrated diffusion on user-item-tag tripartite graphs (基於標籤的三部分圖方法)

d) 2004lncs trust-aware collaborative filtering for recommender systems（基於信任機制）

e) 1997ca-fab_content-based, collaborative recommendation(基於文字資訊)

6. 推薦結果的解釋(高階篇)

a) 2000cscw-explaining collaborative filtering recommendations

b) 2011pre-information filtering via biased heat conduction

c) 2011pre- information filtering via preferential diffusion

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

7. 推薦系統綜合篇(專著、大型綜述、博士**)

a) 2005ziegler-thesis-towards decentralized recommender systems

b) 2010recommender systems handbook