Personal customized recommendation system reflecting purchase criteria and product reviews sentiment analysis

Wu Guanchen, Mingyu Kim, Hoekyung Jung

Abstract


As the size of the e-commerce market grows, the consequences of it are appearing throughout society. The business environment of a company changes from a product center to a user center and introduces a recommendation system. However, the existing research has shown a limitation in deriving customized recommendation information to reflect the detailed information that users consider when purchasing a product. Therefore, the proposed system reflects the user's subjective purchasing criteria in the recommendation algorithm. And conduct sentiment analysis of product review data. Finally, the final sentiment score is weighted according to the purchase criteria priority, recommends the results to the user.

Keywords


Product Attribute; Purchase Priority; Recommend System; Sentiment Analysis



DOI: http://doi.org/10.11591/ijece.v11i3.pp%25p
Total views : 0 times


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

ISSN 2088-8708, e-ISSN 2722-2578