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A Novel Approach to Enhance Personalized Recommendation

Journal: International Journal of Science and Research (IJSR) (Vol.3, No. 10)

Publication Date:

Authors : ; ;

Page : 939-942

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

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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.

Last modified: 2021-06-30 21:10:56