A SEMANTIC-BASED COLLABORATIVE FILTERING FOR RECOMMENDATION SYSTEMS
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 5, Issue 9
Abstract
In the present days the web domain is improved with new types of services, with the increase in service and cloud computing. As a result new forms of web content collecting/designing is done based on the numerous openly available web services online. These services are utilized in many ways by different domains and with the exponential growth of these web services users are experiencing difficulties in finding and utilizing a best matching service for their mashup. A collaborative filtering approach is going to filter and recognize the similar services under same cluster and followed by those evaluation recommendations are made. Semantic based collaborative filtering for recommendation system (SCF-RS) is proposed using clustering and to improve the accuracy of the system.
Authors and Affiliations
D. Jagadish
Keywords
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- EP ID EP149336
- DOI : 10.5281/zenodo.60956
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