阅读 Toby Segaran 的集体智能编程，了解有关如何实施推荐系统的精彩章节。
Read Programming Collective Intelligence by Toby Segaran for a good chapter on how to implement recommendation systems.
Netflix 奖项解决方案描述是解决协作过滤问题的一个很好的起点：
http ://www2.research.att.com/~volinsky/netflix/Bellkor2008.pdf
The netflix prize solution descriptions are a good place to start for solving collaborative filtering problems:
http://www2.research.att.com/~volinsky/netflix/Bellkor2008.pdf
有一个关于研究论文推荐系统的有趣演示，它可能符合您正在寻找的内容。它基于 Python 的 NumPy 库，并且该方法看起来相当合理。
http://software-carpentry.org/v4/matrix/recommend.html
There's an interesting presentation regarding a research paper recommendation system, which may be along the lines of what you are looking for. It is based on Python's NumPy library, and the method seems pretty sound.
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阅读 Toby Segaran 的集体智能编程，了解有关如何实施推荐系统的精彩章节。
Read Programming Collective Intelligence by Toby Segaran for a good chapter on how to implement recommendation systems.
Netflix 奖项解决方案描述是解决协作过滤问题的一个很好的起点：
http ://www2.research.att.com/~volinsky/netflix/Bellkor2008.pdf
The netflix prize solution descriptions are a good place to start for solving collaborative filtering problems:
http://www2.research.att.com/~volinsky/netflix/Bellkor2008.pdf
有一个关于研究论文推荐系统的有趣演示，它可能符合您正在寻找的内容。它基于 Python 的 NumPy 库，并且该方法看起来相当合理。
http://software-carpentry.org/v4/matrix/recommend.html
There's an interesting presentation regarding a research paper recommendation system, which may be along the lines of what you are looking for. It is based on Python's NumPy library, and the method seems pretty sound.
http://software-carpentry.org/v4/matrix/recommend.html