Modeling users’ heterogeneous taste with diversified attentive user profiles

Deep Item-based Collaborative Filtering for Top-N Recommendation

(2019) Feng Xue et al.   ACM TRANSACTIONS ON INFORMATION SYSTEMS

Subprofile-aware diversification of recommendations

(2019) Mesut Kaya et al.   USER MODELING AND USER-ADAPTED INTERACTION

Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering

(2019) Xiaoyu Du et al.   ACM TRANSACTIONS ON INFORMATION SYSTEMS

Balancing accuracy and diversity in recommendations using matrix completion framework

(2017) Anupriya Gogna et al.   KNOWLEDGE-BASED SYSTEMS

Diversity in recommender systems – A survey

(2017) Matevž Kunaver et al.   KNOWLEDGE-BASED SYSTEMS

From Accuracy to Diversity in Product Recommendations: Relationship Between Diversity and Customer Retention

(2014) Sung-Hyuk Park et al.   INTERNATIONAL JOURNAL OF ELECTRONIC COMMERCE

Explaining the user experience of recommender systems

(2012) Bart P. Knijnenburg et al.   USER MODELING AND USER-ADAPTED INTERACTION

A generalized taxonomy of explanations styles for traditional and social recommender systems

(2011) Alexis Papadimitriou et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Solving the apparent diversity-accuracy dilemma of recommender systems

(2010) T. Zhou et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Matrix Factorization Techniques for Recommender Systems

(2009) Yehuda Koren et al.   COMPUTER

The effects of transparency on trust in and acceptance of a content-based art recommender

(2008) Henriette Cramer et al.   USER MODELING AND USER-ADAPTED INTERACTION