Exploiting implicit item relationships for recommender systems

Z Sun, G Guo, J Zhang - … Conference, UMAP 2015, Dublin, Ireland, June …, 2015 - Springer
Collaborative filtering inherently suffers from the data sparsity and cold start problems.
Social networks have been shown useful to help alleviate these issues. However, social …
被引用次数：22 相关文章

Exploiting implicit item relationships for recommender systems

Z Sun, G Guo, J Zhang - 23rd International Conference on …, 2015 - researchers.mq.edu.au
Collaborative filtering inherently suffers from the data sparsity and cold start problems.
Social networks have been shown useful to help alleviate these issues. However, social …
[PDF] researchgate.net

[PDF][PDF] Exploiting Implicit Item Relationships for Recommender Systems

Z Sun, G Guo, J Zhang - researchgate.net
Collaborative filtering inherently suffers from the data sparsity and cold start problems.
Social networks have been shown useful to help alleviate these issues. However, social …
[PDF] ntu.edu.sg

[PDF][PDF] Exploiting Implicit Item Relationships for Recommender Systems

Z Sun, G Guo, J Zhang - personal.ntu.edu.sg
Collaborative filtering inherently suffers from the data sparsity and cold start problems.
Social networks have been shown useful to help alleviate these issues. However, social …

Exploiting Implicit Item Relationships for Recommender Systems

User Modeling, Adaptation and Personalization - Springer
Collaborative filtering inherently suffers from the data sparsity and cold start problems.
Social networks have been shown useful to help alleviate these issues. However, social …

Exploiting Implicit Item Relationships for Recommender Systems

User Modeling, Adaptation and Personalization: 23rd …, 2015 - books.google.com
Collaborative filtering inherently suffers from the data sparsity and cold start problems.
Social networks have been shown useful to help alleviate these issues. However, social …