A Multi-Factor Approach to Measure User Preference Similarity in Neighbor-Based Recommender Systems

Ho Thi Hoang Vy, Hong Tiet Gia, Vu Thi My Hang, Cuong Pham-Nguyen, Le Nguyen Hoai Nam. A Multi-Factor Approach to Measure User Preference Similarity in Neighbor-Based Recommender Systems. In Oleg Gusikhin, Slimane Hammoudi, Alfredo Cuzzocrea, editors, Proceedings of the 12th International Conference on Data Science, Technology and Applications, DATA 2023, Rome, Italy, July 11-13, 2023. pages 532-539, SCITEPRESS, 2023. [doi]

@inproceedings{VyGHPN23,
  title = {A Multi-Factor Approach to Measure User Preference Similarity in Neighbor-Based Recommender Systems},
  author = {Ho Thi Hoang Vy and Hong Tiet Gia and Vu Thi My Hang and Cuong Pham-Nguyen and Le Nguyen Hoai Nam},
  year = {2023},
  doi = {10.5220/0012135500003541},
  url = {https://doi.org/10.5220/0012135500003541},
  researchr = {https://researchr.org/publication/VyGHPN23},
  cites = {0},
  citedby = {0},
  pages = {532-539},
  booktitle = {Proceedings of the 12th International Conference on Data Science, Technology and Applications, DATA 2023, Rome, Italy, July 11-13, 2023},
  editor = {Oleg Gusikhin and Slimane Hammoudi and Alfredo Cuzzocrea},
  publisher = {SCITEPRESS},
  isbn = {978-989-758-664-4},
}