메뉴 건너뛰기
Library Notice
Institutional Access
If you certify, you can access the articles for free.
Check out your institutions.
ex)Hankuk University, Nuri Motors
Log in Register Help KOR
Subject
Humanities
General Humanities History Philosophy Religious Studies Linguistics and Literature Other Humanities
Social science
General Social Science Business Management Tourism Education Military Science Library and Information Science Law Sociology Journalism and Media Studies Psychological Science Political Science and Diplomacy Geography Public Administration Economics International Trade Anthropology Other Social Science
Natural science
General Natural Science Physics Biology Life Sciences Mathematics/Statistics Astronomy Earth Science Chemistry Other Natural Science
Engineering
General Engineering Architectural Engineering Mechanical Engineering Industrial Engineering Material/Energy Engineering Electrical and Electronic Engineering Marine and Ocean Engineering Chemical Engineering Computer Science Other Engineering
Medical science
General Medical Science Nursing Science Veterinary Pharmacy Traditional Korean Medicine Basic Medicine Clinical Medicine Other Medicine
Agriculture and Fishery
General Agriculture and Fishery Agriculture Fishery Science Food Science Forestry Animal Husbandry Marine Transportation Studies Other Agriculture and Fishery
Art and Kinesiology
General Arts Design Fine Arts Cosmetology Photography Music Fashion Kinesiology Performing Media Arts Other Arts and Kinesiology
Interdisciplinary Studies
Interdisciplinary Research Science and Technology Studies Brain and Cognitive Science Technology Policy Other Interdisciplinary Studies

KOR

Item-Based Collaborative Filtering Recommendation Technique Using Product Review Sentiment Analysis
Recommendations
Search
Questions

상품 리뷰 감성분석을 이용한 아이템 기반 협업 필터링 추천 기법

논문 기본 정보

Type
Academic journal
Author
So-Young Yun (Pukyong National University) Sung-Dae Yoon (부경대학교)
Journal
The Korea Institute of Information and Communication Engineering Journal of the Korea Institute of Information and Communication Engineering Vol.24 No.8 KCI Accredited Journals
Published
2020.8
Pages
970 - 977 (8page)

Usage

cover
📌
Topic
📖
Background
🔬
Method
🏆
Result
Item-Based Collaborative Filtering Recommendation Technique Using Product Review Sentiment Analysis
Ask AI
Recommendations
Search
Questions

Abstract· Keywords

Report Errors
The collaborative filtering recommendation technique has been the most widely used since the beginning of e-commerce companies introducing the recommendation system. As the online purchase of products or contents became an ordinary thing, however, recommendation simply applying purchasers’ ratings led to the problem of low accuracy in recommendation. To improve the accuracy of recommendation, in this paper suggests the method of collaborative filtering that analyses product reviews and uses them as a weighted value. The proposed method refines product reviews with text mining to extract features and conducts sentiment analysis to draw a sentiment score. In order to recommend better items to user, sentiment weight is used to calculate the predicted values. The experiment results show that higher accuracy can be gained in the proposed method than the traditional collaborative filtering.
#추천 기법 #협업필터링 #텍스트 마이닝 #감성분석 #Recommendation Technique #Collaborative Filtering #Text Mining #Sentiment Analysis

Contents

요약
ABSTRACT
Ⅰ. 서론
Ⅱ. 관련 연구
Ⅲ. 감성분석을 적용한 추천기법
Ⅳ. 실험 및 평가
Ⅴ. 결론 및 향후 연구 방향
REFERENCES

References (14)

Add References
J. Sun, Y. Zhai, Y. Zhao, J. Li, and N. Yan, “Information Acquisition and Analysis Technology of Personalized Recommendation System Based on Case-Based Reasoning for Internet of Things,” 2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), Zhengzhou, CHINA, pp. 107-110, 2018. google schola S. Zhang, L. Yao, A. Sun, and Y. Tay, “Deep Learning based Recommender System: A Survey and New Perspectives,” ACM Computing Surveys, vol. 52, no. 1, Article 5, pp. 1-38, Feb. 2019. google schola J. Lu, D. Wu, M. Mao, W. Wang, and G. Zhang, “Recommender system application developments: A survey,” Decision Support Systems, vol. 74, pp. 12-31, Jun. 2015. google schola D. Kluver, M. D. Ekstrand, and J. A. Konstan, “Rating- Based Collaborative Filtering: Algorithms and Evaluation,” Social Information Access, pp. 344-390, May. 2018. google schola N. Archak, A. Ghose, and P. G.Ipeirotis, “Deriving the Pricing Power of Product Feature by Mining Consumer Reviews,” Management Science, vol. 57, no. 8, pp. 1485-1509, Jun. 2011. google schola

Recommendations

It is an article recommended by DBpia according to the article similarity. Check out the related articles!

Related Authors

Frequently Viewed Together

News Recommendation System Based on Text and Image Tag Data
In-Jeong Jeong ,  Bo-Mi Kim ,  Su-Kyung Kim and others 1 Journal of Digital Contents Society 2020 .03
A Study on the Success Factors of Mobile Game Using Original IP
Gyu-Ri Choi ,  Jong-Won Lee Proceedings of the Korean Society of Computer Information Conference 2020 .01
A Study of Natural Language Analyses in Game Review Text
Byung-Chull Bae ,  Kwang-Won Oh ,  Hyeong-Sun Han 한국정보과학회 학술발표논문집 2016 .12
Analysis on Winter Atmosphereic Variability Related to Arctic Warming
Baek-Min Kim ,  Euihyun Jung ,  Gyu-Ho Lim and others 1 Atmosphere-Korea 2014 .06
도서 카테고리와 구매 및 평점 히스토리 기반의 설명 가능한 추천시스템 개발
윤태준 ,  이강민 ,  정재용 and others 1 한국지능정보시스템학회 학술대회논문집 2021 .12

Recently viewed articles

A Study on the Effect of on Consulting Relationship between Startup on Corporate And Accelerator Performance
Joo, Bok-Kee, Hyun 외 1명Korea Technology Innovation Society2022.02
 Freiheit und Besitz ; Vemunftrechtliche Besitzlehre von Kant
Choong Jin LeeThe Society of Philosophical Studies2001.06
 Study on the Statutes of Limitations Commencing the Actions in Administrative Law
Lee Il-SeInstitute of Comparative Legal Studies, Kangwon National University2001.08
 A Study on the Korean linguist’s sense of word spacing in changes of the rules of Korean orthography
Yang, Myung-heeThe Society of Korean Langage and Literature2013.04

Comments(0)

0

Write first comments.

UCI(KEPA) : I410-ECN-0101-2020-004-001174263