Signed Distance-based Deep Memory Recommender

@article{Tran2019SignedDD,
  title={Signed Distance-based Deep Memory Recommender},
  author={Thanh Tran and Xinyue Liu and Kyumin Lee and Xiangnan Kong},
  journal={The World Wide Web Conference},
  year={2019}
}
  • Thanh Tran, Xinyue Liu, +1 author Xiangnan Kong
  • Published 2019
  • Computer Science
  • The World Wide Web Conference
  • Personalized recommendation algorithms learn a user's preference for an item by measuring a distance/similarity between them. However, some of the existing recommendation models (e.g., matrix factorization) assume a linear relationship between the user and item. This approach limits the capacity of recommender systems, since the interactions between users and items in real-world applications are much more complex than the linear relationship. To overcome this limitation, in this paper, we… CONTINUE READING

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