International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Double Blind Reviewed

ISSN: 2319-7064


Downloads: 99

Research Paper | Computer Science & Engineering | India | Volume 3 Issue 10, October 2014


A Novel Approach to Enhance Personalized Recommendation

G. Venkatesh | M. Sri Devi


Abstract: Recommendation techniques are important in the fields of E-commerce and other facilities like online shopping. One of the main problems is dynamically providing high-quality recommendation on less data. In this paper, a new dynamic personalized recommendation approach is introduced, in which information contained in both ratings and profile contents are utilized by inventing internal relations between ratings, a set of dynamic features are developed to describe user preferences in different phases, and then a recommendation is made by adaptively weighting the features. This approach performed well on public data sets.


Keywords: Dynamic Recommendation, Dynamic Features, Multiple Phases of Interest, Time Series Analysis, Hybrid Recommendation


Edition: Volume 3 Issue 10, October 2014,


Pages: 939 - 942


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How to Cite this Article?

G. Venkatesh, M. Sri Devi, "A Novel Approach to Enhance Personalized Recommendation", International Journal of Science and Research (IJSR), Volume 3 Issue 10, October 2014, pp. 939-942, https://www.ijsr.net/get_abstract.php?paper_id=OCT14467

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