Enhancing personalized ranking quality through multidimensional modeling of inter-item competition
Qinyuan Feng, Ling Liu, Yan Lindsay Sun, Ting Yu, Yafei Dai · 2010
This paper presents MAPS - a personalized Multi-Attribute Probabilistic Selection framework - to estimate the probability of an item being a user's best choice and rank the items accordingly. The MAPS framework makes three original contributions in this paper. First, we capture the inter-attribute t