Alleviating new user cold-start in user-based collaborative filtering via bipartite network

Z Zhang, M Dong, K Ota, Y Kudo - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The recommender system (RS) can help us extract valuable data from a huge amount of raw
information. User-based collaborative filtering (UBCF) is widely employed in practical RSs …

Alleviating New User Cold-Start in User-Based Collaborative Filtering via Bipartite Network

Z Zhang, M Dong, K Ota, Y Kudo - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The recommender system (RS) can help us extract valuable data from a huge amount of raw
information. User-based collaborative filtering (UBCF) is widely employed in practical RSs …

Alleviating New User Cold-Start in User-Based Collaborative Filtering via Bipartite Network

張志鵬, トウメンユウ, 董冕雄, オオタカオル… - 2020 - muroran-it.repo.nii.ac.jp
Recommender system (RS) can help us extract valuable data from huge amount of raw
information. User-based collaborative filtering (UBCF) is widely employed in practical RSs …

Alleviating New User Cold-Start in User-Based Collaborative Filtering via Bipartite Network

Z ZHANG - IEEE Transactions on Computational Social Systems, 2020 - cir.nii.ac.jp
抄録 The recommender system (RS) can help us extract valuable data from a huge amount
of raw information. User-based collaborative filtering (UBCF) is widely employed in practical …

Alleviating New User Cold-Start in User-Based Collaborative Filtering via Bipartite Network

Z ZHANG, M DONG, K OTA, Y KUDO - 2020 - muroran-it.repo.nii.ac.jp
The recommender system (RS) can help us extract valuable data from a huge amount of raw
information. User-based collaborative filtering (UBCF) is widely employed in practical RSs …