Pages that link to "Item:Q2781937"

The following pages link to Eigentaste: A constant time collaborative filtering algorithm (Q2781937):

Displaying 50 items.

• An alternating direction method with continuation for nonconvex low rank minimization (Q257130) (← links)
• Comparison-based interactive collaborative filtering (Q266268) (← links)
• Redundant correlation effect on personalized recommendation (Q339750) (← links)
• Transfer learning in heterogeneous collaborative filtering domains (Q360050) (← links)
• Fixed point and Bregman iterative methods for matrix rank minimization (Q543413) (← links)
• Finding similar users in social networks (Q693756) (← links)
• An accurate and scalable collaborative recommender (Q703112) (← links)
• Projected Landweber iteration for matrix completion (Q708281) (← links)
• Tell me who I am: An interactive recommendation system (Q733719) (← links)
• Optimal social choice functions: a utilitarian view (Q899165) (← links)
• A theoretical analysis of query selection for collaborative filtering (Q1394791) (← links)
• Long-term effects of user preference-oriented recommendation method on the evolution of online system (Q1620255) (← links)
• Matrix completion via a low rank factorization model and an augmented Lagrangean succesive overrelaxation algorithm (Q1653941) (← links)
• Neighbor selection for user-based collaborative filtering using covering-based rough sets (Q1699150) (← links)
• Efficiency and budget balance in general quasi-linear domains (Q1735779) (← links)
• Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm (Q1946921) (← links)
• An efficient algorithm for learning to rank from preference graphs (Q1959647) (← links)
• Multilayer tensor factorization with applications to recommender systems (Q1990581) (← links)
• Adaptive nonnegative matrix factorization and measure comparisons for recommender systems (Q2011084) (← links)
• Points of view: a conceptual space approach (Q2013404) (← links)
• Low-rank factorization for rank minimization with nonconvex regularizers (Q2044472) (← links)
• Strictly contractive Peaceman-Rachford splitting method to recover the corrupted low rank matrix (Q2067888) (← links)
• A taxonomy of weight learning methods for statistical relational learning (Q2102343) (← links)
• Personalized recommendation via network-based inference with time (Q2136775) (← links)
• Locally differentially private item-based collaborative filtering (Q2224872) (← links)
• A non-convex algorithm framework based on DC programming and DCA for matrix completion (Q2340366) (← links)
• Making sense of sparse rating data in collaborative filtering via topographic organization of user preference patterns (Q2485241) (← links)
• Efficiency and Budget Balance (Q2959843) (← links)
• Privacy Preserving Protocols for Eigenvector Computation (Q3003504) (← links)
• A Logistic Factorization Model for Recommender Systems With Multinomial Responses (Q3391437) (← links)
• A smoothing majorization method for matrix minimization (Q3458812) (← links)
• Comparison-Based Interactive Collaborative Filtering (Q3460733) (← links)
• Empirical assessment of a collaborative filtering algorithm based on OWA operators (Q3544367) (← links)
• Identifying the effects of SVD and demographic data use on generalized collaborative filtering (Q3545666) (← links)
• PRIVACY-PRESERVING SVD-BASED COLLABORATIVE FILTERING ON PARTITIONED DATA (Q3565434) (← links)
• IMPROVED COLLABORATIVE FILTERING ALGORITHM VIA INFORMATION TRANSFORMATION (Q3631080) (← links)
• A NOVEL FUZZY-BASED SIMILARITY MEASURE FOR COLLABORATIVE FILTERING TO ALLEVIATE THE SPARSITY PROBLEM (Q4553372) (← links)
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• Tensor Methods for Nonlinear Matrix Completion (Q4999357) (← links)
• Computing Large Market Equilibria Using Abstractions (Q5031015) (← links)
• SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits (Q5076321) (← links)
• Flip-flop spectrum-revealing QR factorization and its applications to singular value decomposition (Q5218403) (← links)
• Riemannian Stochastic Variance Reduced Gradient Algorithm with Retraction and Vector Transport (Q5231672) (← links)
• Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion (Q5251927) (← links)
• The distortion of distributed voting (Q5919030) (← links)
• Using mixture models for collaborative filtering (Q5920384) (← links)
• A goodness-of-fit test on the number of biclusters in a relational data matrix (Q6058528) (← links)
• Matrix completion with column outliers and sparse noise (Q6065866) (← links)