Pages that link to "Item:Q2845278"
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The following pages link to Incremental collaborative filtering based on Mahalanobis distance and fuzzy membership for recommender systems (Q2845278):
Displaying 15 items.
- A novel 2D-graph clustering method based on trust and similarity measures to enhance accuracy and coverage in recommender systems (Q781906) (← links)
- Solving the stability-accuracy-diversity dilemma of recommender systems (Q1620313) (← links)
- Neighbor selection for user-based collaborative filtering using covering-based rough sets (Q1699150) (← links)
- A novel mobile personalized recommended method based on money flow model for stock exchange (Q1718177) (← links)
- Enhancing social collaborative filtering through the application of non-negative matrix factorization and exponential random graph models (Q1741167) (← links)
- Noise-tolerance matrix completion for location recommendation (Q1741358) (← links)
- Dynamic evolutionary clustering approach based on time weight and latent attributes for collaborative filtering recommendation (Q2000300) (← links)
- Resolving sets and integer programs for recommender systems (Q2046331) (← links)
- Providing reliability in recommender systems through Bernoulli matrix factorization (Q2123546) (← links)
- Three-way recommendation model based on shadowed set with uncertainty invariance (Q2237200) (← links)
- An effective recommender system by unifying user and item trust information for B2B applications (Q2353393) (← links)
- Collaborative filtering algorithms based on Kendall correlation in recommender systems (Q3445979) (← links)
- Fuzzy Collaborative Filtering Approach Based on Semantic Distance (Q3563189) (← links)
- The recommender system for virtual items in MMORPGs based on a novel collaborative filtering approach (Q5499814) (← links)
- OPHAencoder: An unsupervised approach to identify groups in group recommendations (Q6486084) (← links)
