Effective Mining Scheme for Large Streams Personalized Data Using Sparse Data
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 11
Abstract
Reference methods are extremely significant in the fields of E-commerce and other Web-based services. One of the major complexities is dynamically providing high-quality suggestion on sparse data. In this paper a work of fiction lively modified suggestion algorithm is proposed in which information contained in both ratings and profile contents are make use by searching hidden relations between ratings a set of dynamic features are calculated to explain user inclinations in multiple segments and lastly a recommendation is made by adaptively weighting the features. Tentative consequences on public datasets show that the planned algorithm has gratifying presentation.
Authors and Affiliations
D. Narsimha Reddy, B. Sivaiah
Keywords
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