• Corpus ID: 232320544

Diversity Regularized Interests Modeling for Recommender Systems

@article{Hao2021DiversityRI,
  title={Diversity Regularized Interests Modeling for Recommender Systems},
  author={Junmei Hao and Jingcheng Shi and Qing Da and Anxiang Zeng and Yujie Dun and Xueming Qian and Qianying Lin},
  journal={ArXiv},
  year={2021},
  volume={abs/2103.12404}
}
With the rapid development of E-commerce and the increase in the quantity of items, users are presented with more items hence their interests broaden. It is increasingly difficult to model user intentions with traditional methods, which model the user’s preference for an item by combining a single user vector and an item vector. Recently, some methods are proposed to generate multiple user interest vectors and achieve better performance compared to traditional methods. However, empirical… 

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