Accuracy-diversity trade-off in recommender systems via graph convolutions

Connecting the Dots: Identifying Network Structure via Graph Signal Processing

(2019) Gonzalo Mateos et al.   IEEE SIGNAL PROCESSING MAGAZINE

Learning Combination of Graph Filters for Graph Signal Modeling

(2019) Fei Hua et al.   IEEE SIGNAL PROCESSING LETTERS

Graph Signal Processing: Overview, Challenges, and Applications

(2018) Antonio Ortega et al.   PROCEEDINGS OF THE IEEE

Rating Prediction via Graph Signal Processing

(2018) Weiyu Huang et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Recommending the long tail items through personalized diversification

(2018) Elaheh Malekzadeh Hamedani et al.   KNOWLEDGE-BASED 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

Discrete Signal Processing on Graphs: Frequency Analysis

(2014) Aliaksei Sandryhaila et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Analytical closed-form solution for binary logit regression by categorical predictors

(2014) Stan Lipovetsky   JOURNAL OF APPLIED STATISTICS

A probabilistic model to resolve diversity–accuracy challenge of recommendation systems

(2014) Amin Javari et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Improving accuracy and diversity of personalized recommendation through power law adjustments of user similarities

(2013) Mingxin Gan et al.   DECISION SUPPORT SYSTEMS

The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains

(2013) D. I. Shuman et al.   IEEE SIGNAL PROCESSING MAGAZINE

Discrete Signal Processing on Graphs

(2013) Aliaksei Sandryhaila et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Solving the accuracy-diversity dilemma via directed random walks

(2012) Jian-Guo Liu et al.   PHYSICAL REVIEW E

Comparing context-aware recommender systems in terms of accuracy and diversity

(2012) Umberto Panniello et al.   USER MODELING AND USER-ADAPTED INTERACTION

Novelty and Diversity in Top-N Recommendation -- Analysis and Evaluation

(2011) Neil Hurley et al.   ACM Transactions on Internet Technology

Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques

(2011) G. Adomavicius et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

CAN DISSIMILAR USERS CONTRIBUTE TO ACCURACY AND DIVERSITY OF PERSONALIZED RECOMMENDATION?

(2010) WEI ZENG et al.   INTERNATIONAL JOURNAL OF MODERN PHYSICS C

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