Pages that link to "Item:Q5172589"

The following pages link to Collaborative filtering based on information-theoretic co-clustering (Q5172589):

Displaying 18 items.

• Transfer learning in heterogeneous collaborative filtering domains (Q360050) (← links)
• A novel 2D-graph clustering method based on trust and similarity measures to enhance accuracy and coverage in recommender systems (Q781906) (← links)
• Collaborative topic model for Poisson distributed ratings (Q1642762) (← links)
• Neighbor selection for user-based collaborative filtering using covering-based rough sets (Q1699150) (← links)
• Userrank for item-based collaborative filtering recommendation (Q1944919) (← links)
• Dynamic evolutionary clustering approach based on time weight and latent attributes for collaborative filtering recommendation (Q2000300) (← links)
• A collaborative filtering framework based on both local user similarity and global user similarity (Q2036263) (← links)
• Coarse cluster enhancing collaborative recommendation for social network systems (Q2147870) (← links)
• An effective recommender system by unifying user and item trust information for B2B applications (Q2353393) (← links)
• A clustering approach for collaborative filtering under the belief function framework (Q2401866) (← links)
• Collaborative filtering with information-rich and~information-sparse entities (Q2512903) (← links)
• RP-LGMC: rating prediction based on local and global information with matrix clustering (Q2668644) (← links)
• Clustering for collaborative filtering applications (Q2729813) (← links)
• Incremental collaborative filtering based on Mahalanobis distance and fuzzy membership for recommender systems (Q2845278) (← links)
• Collaborative filtering algorithm using user background information (Q3399718) (← links)
• A NOVEL FUZZY-BASED SIMILARITY MEASURE FOR COLLABORATIVE FILTERING TO ALLEVIATE THE SPARSITY PROBLEM (Q4553372) (← links)
• Discovery Science (Q5464557) (← links)
• Advances in Neural Networks – ISNN 2005 (Q5707570) (← links)