Research Papers

Discover the machine-learning research behind our technology

Efficient Similarity Computation for Collaborative Filtering in Dynamic Environments
Collaborative Filtering for Binary, Positive-only Data
Fair Offline Evaluation Methodologies for Implicit-Feedback Recommender Systems with MNAR Data
Top-N Recommendation for Shared Accounts
Unifying Nearest Neighbours Collaborative Filtering