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An Artificial Neural Network for Local Library's Book Recommender System
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지역 도서관을 위한 도서 추천 인공 신경망 모델

논문 기본 정보

Type
Academic journal
Author
Hyebong Choi (한동대학교)
Journal
Korean Institute of Information Technology The Journal of Korean Institute of Information Technology Vol.14 No.9 KCI Accredited Journals
Published
2016.9
Pages
109 - 118 (10page)
DOI
10.14801/jkiit.2016.14.9.109

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An Artificial Neural Network for Local Library's Book Recommender System
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Abstract· Keywords

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For the last decade, recommender system has served as one of most successful business applications in data science. Many recommender systems focus on online commercial service such as e-commerce and online streaming service where massive online activities are accumulated as Big Data. On the other hand, small offline-based services suffer from data sparsity and insufficient data volume to train a complex recommender model such as artificial neural network which leads the system to over-fitting problem. In this paper, we propose an elaborate recommender system that addresses the issue of data sparsity and insufficient data volume of local library using collaborative filtering method. It combines the result with user and book profile to train a complex neural network model to predict user preference on un-read book. Moreover we prove that the system is well-suited to the local library environment with comprehensive empirical study on real library data.
#recommender systems #neural network #collaborative filtering #data sparsity

Contents

요약
Abstract
Ⅰ. 서론
Ⅱ. 관련 연구
Ⅲ. 신경망 기반 도서관 추천 시스템
Ⅳ. 실험
Ⅴ. 결론 및 향후 연구
References

References (16)

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[학술지(정기간행물)] - 손지은 / 2015 / 추천 시스템 기법 연구동향 분석 / 대한산업공학회지 41 (2) : 185 ~ 208 dbpia [학술대회논문] - J. S. Breese / 1998 / Empirical analysis of predictive algorithms for collaborative filtering / Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence : 43 ~ 52 google schola [학술지(정기간행물)] - LeCun, Yann / 2015 / Deep learning / Nature 521 (7553) : 436 ~ 444 google schola [학술지(정기간행물)] - D. Silver / 2016 / Mastering the game of Go with deep neural networks and tree search / Nature 529 (7587) : 484 ~ 489 google schola [학술대회논문] - R. Salakhutdinov / 2007 / Restricted Boltzmann machines for collaborative filtering / Proceedings of the 24th international conference on Machine learning : 791 ~ 798 google schola

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