A similarity measure based on Kullback–Leibler divergence for collaborative filtering in sparse data

J Deng, Y Wang, J Guo, Y Deng… - Journal of Information …, 2019 - journals.sagepub.com
In the neighbourhood-based collaborative filtering (CF) algorithms, a user similarity measure
is used to find other users similar to an active user. Most of the existing user similarity …
被引用次数：17 相关文章

A similarity measure based on Kullback–Leibler divergence for collaborative filtering in sparse data

J Deng, Y Wang, J Guo, Y Deng, J Gao… - Journal of Information …, 2019 - dl.acm.org
In the neighbourhood-based collaborative filtering (CF) algorithms, a user similarity measure
is used to find other users similar to an active user. Most of the existing user similarity …
[PDF] researchgate.net

[PDF][PDF] A similarity measure based on Kullback–Leibler divergence for collaborative filtering in sparse data

J Deng, Y Wang, J Guo, Y Deng, J Gao… - Journal of Information …, 2019 - researchgate.net
In the neighbourhood-based collaborative filtering (CF) algorithms, a user similarity measure
is used to find other users similar to an active user. Most of the existing user similarity …