[PDF][PDF] Optimal Greedy Diversity for Recommendation.

The need for diversification manifests in various recommendation use cases. In this work, we
propose a novel approach to diversifying a list of recommended items, which maximizes the …

[PDF][PDF] Optimal Greedy Diversity for Recommendation

A Ashkan, B Kveton, S Berkovsky, Z Wen - bkveton.com
The need for diversification manifests in various recommendation use cases. In this work, we
propose a novel approach to diversifying a list of recommended items, which maximizes the …

[PDF][PDF] Optimal Greedy Diversity for Recommendation

A Ashkan, B Kveton, S Berkovsky, Z Wen - ijcai.org
The need for diversification manifests in various recommendation use cases. In this work, we
propose a novel approach to diversifying a list of recommended items, which maximizes the …

Optimal greedy diversity for recommendation

A Ashkan, B Kveton, S Berkovsky… - 24th International Joint …, 2015 - researchers.mq.edu.au
The need for diversification manifests in various recommendation use cases. In this work, we
propose a novel approach to diversifying a list of recommended items, which maximizes the …

[PDF][PDF] Optimal Greedy Diversity for Recommendation

A Ashkan, B Kveton, S Berkovsky, Z Wen - Citeseer
The need for diversification manifests in various recommendation use cases. In this work, we
propose a novel approach to diversifying a list of recommended items, which maximizes the …

[PDF][PDF] Optimal Greedy Diversity for Recommendation

A Ashkan, B Kveton, S Berkovsky, Z Wen - shlomo-berkovsky.github.io
The need for diversification manifests in various recommendation use cases. In this work, we
propose a novel approach to diversifying a list of recommended items, which maximizes the …

Optimal greedy diversity for recommendation

A Ashkan, B Kveton, S Berkovsky, Z Wen - Proceedings of the 24th …, 2015 - dl.acm.org
The need for diversification manifests in various recommendation use cases. In this work, we
propose a novel approach to diversifying a list of recommended items, which maximizes the …