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

How to Cite?: G. Venkatesh, M. Sri Devi, "A Novel Approach to Enhance Personalized Recommendation", Volume 3 Issue 10, October 2014, International Journal of Science and Research (IJSR), Pages: 939-942, https://www.ijsr.net/getabstract.php?paperid=OCT14467, DOI: https://dx.doi.org/10.21275/OCT14467