这个问题其实挺让我为难的，因为以我目前的水平，尚不足以授人以渔。但又不好不作答，因此，整理了这份资料清单。我争取长期维护下去，力求授人以鱼吧。
注：此清单完全以我个人喜好整理，不周之处还请大家在评论里指明，或者 email/gtalk 也可。
Beginners:
Subjects:
Groups & Researchers:
Conferences:
Selected Papers:
- Paul Resnick, GroupLens -- An Open Architecture for Collaborative Filtering of Netnews
- Badrul Sarwar, Item-based Collaborative Filtering Recommendation Algorithms
- Greg Linden, Amazon.com Recommendations: Item-to-Item Collaborative Filtering
- Thomas Hofmann, Latent Semantic Models for Collaborative Filtering
- 4 googlers, Google News Personalization - Scalable Online Collaborative Filtering
Blogers:
Software Libraries:
- Taste, Java, http://taste.sf.net/
- Beyond Thoth, C#, http://sf.net/projects/beyondthoth/
Resources:
- Stanford CS345: Data Mining
- http://del.icio.us/tag/collaborativefiltering
- http://del.icio.us/tag/recommendersystem
Books:
完全以个性化技术为中心的书籍很少，但多数讲 Machine Learning 或者 Data Mining 的书籍里面，都会有专门的章节，介绍与此相关的内容。
- Programming Collective Intelligence, Toby Segaran, O'Reilly, 2007.8
- Personalization Techniques and Recommender Systems, Gulden Uchyigit, World Scientific, 2008.4
