Zhenghua Xu

Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation

2017 · arXiv (Cornell University)

Matrix factorization has now become a dominant solution for personalized recommendation on the Social Web. To alleviate the cold start problem, previous approaches have incorporated various additional sources of information into traditional matrix factorization models. …

Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling

2016

With the rapid growth of social tagging systems, many efforts have been put on tag-aware personalized recommendation. However, due to uncontrolled vocabularies, social tags are usually redundant, sparse, and ambiguous. In this paper, we propose …