A First Course in Machine Learning - Linear Model: A Least Squares Approach 2017-02-22 11:28:40
机器学习入门书籍第一章,从最简单的线性模型讲起。... || Linear Model; least square; Leave one out cross validation; || Simon Rogers; Mark Girolami...

Rails#rails activerecord type 2017-02-21 14:37:15
Rails 在建表时支持的属性类型... || rails; type; || ruby on rails ...

PREA: Personalized Recommendation Algorithms Toolkit 2017-02-20 08:09:45
Recommendation systems are important business applications with significant economic impact. In recent years, a large number of algorithms have been proposed for recommendation systems. In this paper, we describe an open-source toolkit implementing many recommendation algorithms as well as popular e... || tootkit; datasets; explicit feedback; exrecommender systems; collaborative filtering; evaluation metric;库;开源软件; || Joonseok Lee; Mingxuan Sun; Guy Lebanon...

Nuoku#TODO LIST 2017-02-19 07:52:43
如果您在使用本系统过程中,产生了任何问题和想法,都可以通过在本文下发留言的形式告诉我们。... || TODO List; nginx; || 朱能军...

Local low-rank matrix approximation 2017-02-16 11:35:28
Matrix approximation is a common tool in recommendation systems, text mining, and computer vision. A prevalent assumption in constructing matrix approximations is that the partially observed matrix is of low-rank. We propose a new matrix approximation model where we assume instead that the matrix is... ; || Joonseok Lee; Seungyeon Kim; Guy Lebanon...

Local Collaborative Ranking 2017-02-15 13:09:46
Personalized recommendation systems are used in a wide variety of applications such as electronic commerce, social networks, web search, and more. Collaborative filtering approaches to recommendation systems typically assume that the rating matrix (e.g., movie ratings by viewers... || recommender systems; collaborative filtering; ranking; || Joonseok Lee; Samy Bengio; Seungyeon Kim...

Listwise Collaborative Filtering 2017-02-15 11:10:58
Recently, ranking-oriented collaborative filtering (CF) algorithms have achieved great success in recommender systems. They obtained state-of-the-art performances by estimating a preference ranking of items for each user rather than estimating the absolute ratings on unrated items (as conventional ... || Recommender systems; Collaborative filtering; Ranking- oriented collaborative filtering; 肯德尔; Kendall; Cross Entroy; 交叉熵; || Shanshan Huang; Shuaiqiang Wang; Tie-Yan Liu...

机器学习相关——协同过滤 2017-02-15 07:51:53
在现今的推荐技术和算法中,最被大家广泛认可和采用的就是基于协同过滤的推荐方法。本文将带你深入了解协同过滤的秘密。... || 推荐; 机器学习; 协同过滤; || 赵晨婷; 马春娥...