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

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...

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Autores principales:	Nasy`an Taufiq Al Ghifari, Benhard Sitohang, Gusti Ayu Putri Saptawati
Formato:	article
Lenguaje:	EN
Publicado:	UIR Press 2021
Materias:	cold start collaborative filtering hybrid recommender system Computer software QA76.75-76.765 Information technology T58.5-58.64 Computer engineering. Computer hardware TK7885-7895
Acceso en línea:	https://doaj.org/article/6ecc18d96e3148e08adf51b18708c9e7
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id	oai:doaj.org-article:6ecc18d96e3148e08adf51b18708c9e7
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spelling	oai:doaj.org-article:6ecc18d96e3148e08adf51b18708c9e72021-11-04T09:53:23ZAddressing Cold Start New User in Recommender System Based on Hybrid Approach: A review and bibliometric analysis2528-40612528-405310.25299/itjrd.2021.vol6(1).6118https://doaj.org/article/6ecc18d96e3148e08adf51b18708c9e72021-03-01T00:00:00Zhttps://journal.uir.ac.id/index.php/ITJRD/article/view/6118https://doaj.org/toc/2528-4061https://doaj.org/toc/2528-4053Increasing 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.Nasy`an Taufiq Al GhifariBenhard SitohangGusti Ayu Putri SaptawatiUIR Pressarticlecold startcollaborative filteringhybridrecommender systemComputer softwareQA76.75-76.765Information technologyT58.5-58.64Computer engineering. Computer hardwareTK7885-7895ENIT Journal Research and Development, Vol 6, Iss 1, Pp 1-16 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cold start collaborative filtering hybrid recommender system Computer software QA76.75-76.765 Information technology T58.5-58.64 Computer engineering. Computer hardware TK7885-7895
spellingShingle	cold start collaborative filtering hybrid recommender system Computer software QA76.75-76.765 Information technology T58.5-58.64 Computer engineering. Computer hardware TK7885-7895 Nasy`an Taufiq Al Ghifari Benhard Sitohang Gusti Ayu Putri Saptawati Addressing Cold Start New User in Recommender System Based on Hybrid Approach: A review and bibliometric analysis
description	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.
format	article
author	Nasy`an Taufiq Al Ghifari Benhard Sitohang Gusti Ayu Putri Saptawati
author_facet	Nasy`an Taufiq Al Ghifari Benhard Sitohang Gusti Ayu Putri Saptawati
author_sort	Nasy`an Taufiq Al Ghifari
title	Addressing Cold Start New User in Recommender System Based on Hybrid Approach: A review and bibliometric analysis
title_short	Addressing Cold Start New User in Recommender System Based on Hybrid Approach: A review and bibliometric analysis
title_full	Addressing Cold Start New User in Recommender System Based on Hybrid Approach: A review and bibliometric analysis
title_fullStr	Addressing Cold Start New User in Recommender System Based on Hybrid Approach: A review and bibliometric analysis
title_full_unstemmed	Addressing Cold Start New User in Recommender System Based on Hybrid Approach: A review and bibliometric analysis
title_sort	addressing cold start new user in recommender system based on hybrid approach: a review and bibliometric analysis
publisher	UIR Press
publishDate	2021
url	https://doaj.org/article/6ecc18d96e3148e08adf51b18708c9e7
work_keys_str_mv	AT nasyantaufiqalghifari addressingcoldstartnewuserinrecommendersystembasedonhybridapproachareviewandbibliometricanalysis AT benhardsitohang addressingcoldstartnewuserinrecommendersystembasedonhybridapproachareviewandbibliometricanalysis AT gustiayuputrisaptawati addressingcoldstartnewuserinrecommendersystembasedonhybridapproachareviewandbibliometricanalysis
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Addressing Cold Start New User in Recommender System Based on Hybrid Approach: A review and bibliometric analysis

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