Skincare Recommender System Using Neural Collaborative Filtering with Implicit Rating

Chaira Qalbyassalam, Reza Fuad Rachmadi, Arief Kurniawan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Skincare products are essential cosmetics for women, especially in this modern era. Many e-commerce services provide a variety of skincare products in their catalogs. One problem with purchasing skincare products online is that users cannot try the product and depend on other customers' rating reviews. However, rating reviews on a scale of 1 to 5 are considered insufficient to represent product quality, and users need to read review texts written by other users to get more specific information about the quality of the product. This paper investigated NCF (Neural Collaborative Filtering) for skincare recommender systems. Instead of using explicit rating as usually used on standard recommender systems, we adapted the sentiment score as a rating which, in our experiments, proved can improve the classifier's performance. We collected 180,104 rows of data with 11 data attributes and 1,339 skincare products to evaluate our proposed method. Experiments on the dataset show that the proposed NCF with explicit ratings achieved an RMSE of 0.8033, and the NCF with implicit ratings achieved an RMSE of 0.4931.

Original languageEnglish
Title of host publicationProceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages272-277
Number of pages6
ISBN (Electronic)9781665476508
DOIs
Publication statusPublished - 2022
Event2022 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022 - Surabaya, Indonesia
Duration: 22 Nov 202223 Nov 2022

Publication series

NameProceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022

Conference

Conference2022 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022
Country/TerritoryIndonesia
CitySurabaya
Period22/11/2223/11/22

Keywords

  • Neural Collaborative Filtering
  • Skincare Recommender System
  • sentiment analysis

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