RULE-BASED APPROACH FOR CONTEXT-AWARE COLLABORATIVE RECOMMENDER SYSTEM

RULE-BASED APPROACH FOR CONTEXT-AWARE COLLABORATIVE RECOMMENDER SYSTEM

Sparsity is a serious problem of collaborative recommendation approach that has a considerable effect on recommendation quality. Contextual information is introduced in traditional recommendation systems besides users and items information to reduce this problem effect. Several research works prove...

Bibliográfalaš dieđut
Váldodahkkit:	Soulef Benhamdi, abdesselam babouri, Raja Chiky, Jamal Nebhen
Materiálatiipa:	Artihkal
Giella:	English
Almmustuhtton:	Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT) 2022-06-01
Ráidu:	Jordanian Journal of Computers and Information Technology
Fáttát:	sparsity cars rule based recommendation systems data mining collaborative filtering similarity
Liŋkkat:	http://www.ejmanager.com/fulltextpdf.php?mno=140709

Geahča maid

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Almmustuhtton: (2020-01-01)

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A collaborative filtering recommendation framework utilizing social networks
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Collaborative filtering recommendation algorithm based on rough set rule extraction
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Almmustuhtton: (2020-01-01)

Collaborative filtering recommendation algorithm based on rough set rule extraction
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Almmustuhtton: (2020-01-01)

Cognitive Similarity-Based Collaborative Filtering Recommendation System
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Almmustuhtton: (2020-06-01)

A social trust and preference segmentation-based matrix factorization recommendation algorithm
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Almmustuhtton: (2019-12-01)

Switching Hybrid Method Based on User Similarity and Global Statistics for Collaborative Filtering
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Almmustuhtton: (2020-01-01)

A Soft-Rough Set Based Approach for Handling Contextual Sparsity in Context-Aware Video Recommender Systems
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Almmustuhtton: (2019-08-01)

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Almmustuhtton: (2023-04-01)

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Bidirectional Trust-Enhanced Collaborative Filtering for Point-of-Interest Recommendation
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Almmustuhtton: (2022-01-01)

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Almmustuhtton: (2017-10-01)

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Personalized route recommendation for passengers in urban rail transit based on collaborative filtering algorithm
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