Addressing Cold Start New User in Recommender System Based on Hybrid Approach: A review and bibliometric analysis

  • Nasy`an Taufiq Al Ghifari Bandung Institute of Technology
  • Benhard Sitohang Bandung Institute of Technology
  • Gusti Ayu Putri Saptawati Bandung Institute of Technology
Keywords: Cold start, Collaborative filtering, Hybrid, Recommender system

Abstract

Increasing number of internet users today, the use of e-commerce becomes a very vital need. One of the keys that holds the success of the e-commerce system is the recommendation system. Collaborative filtering is the popular method of recommendation system. However, collaborative filtering still has issues including data sparsity, cold start, gray sheep, and dynamic taste. Some studies try to solve the issue with hybrid methods that use a combination of several techniques. One of the studies tried to solve the problem by building 7 blocks of hybrid techniques with various approaches. However, the study still has some problems left. In the case of cold start new users, actually, the method in the study has handled it with matrix factorizer block and item weight. But it will produce the same results for all users so that the resulting personalization is still lacking. This study aims to map an overview of the themes of recommendation system research that utilizes bibliometric analysis to assess the performance of scientific articles while exposing solution opportunities to cold start problems in the recommendation system. The results of the analysis showed that cold start problems can be solved by utilizing social network data and graph approaches.

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Author Biographies

Nasy`an Taufiq Al Ghifari, Bandung Institute of Technology

School of Electrical Engineering and Informatics

Benhard Sitohang, Bandung Institute of Technology

School of Electrical Engineering and Informatics

Gusti Ayu Putri Saptawati, Bandung Institute of Technology

School of Electrical Engineering and Informatics

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Published
2021-03-02
How to Cite
Nasy`an Taufiq Al Ghifari, Benhard Sitohang, & Gusti Ayu Putri Saptawati. (2021). Addressing Cold Start New User in Recommender System Based on Hybrid Approach: A review and bibliometric analysis. IT Journal Research and Development, 6(1), 1 - 16. https://doi.org/10.25299/itjrd.2021.vol6(1).6118
Section
Review Article
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