Mining Semantic Data, User Generated Contents, and Contextual Information for Cross-Domain Recommendation

Ignacio Fernández-Tobías

doi:10.1007/978-3-642-38844-6_42

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Mining Semantic Data, User Generated Contents, and Contextual Information for Cross-Domain Recommendation

Ignacio Fernández-Tobías

Year: 2013 Lecture notes in computer science Pages: 371-375 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-38844-6_42

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Keywords:

Computer science Exploit Domain (mathematical analysis) Recommender system Domain knowledge Information retrieval Process (computing) Data mining Artificial intelligence

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Cited By

0.58

FWCI (Field Weighted Citation Impact)

Refs

0.66

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Analysis and Summarization

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Mining Semantic Data, User Generated Contents, and Contextual Information for Cross-Domain Recommendation

Metrics

Citation History

Topics

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