최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기지능정보연구 = Journal of intelligence and information systems, v.29 no.2, 2023년, pp.323 - 338
차지수 (연세대학교 산업공학과) , 정구섭 (연세대학교 산업공학과) , 김우영 (연세대학교 산업공학과) , 양재원 (연세대학교 산업공학과) , 백상덕 (연세대학교 산업공학과) , 이원준 (연세대학교 산업공학과) , 장서호 (연세대학교 디지털애널리틱스융합학과) , 박태준 (한국방송광고진흥공사) , 정찬우 (한국방송광고진흥공사) , 김우주 (연세대학교 산업공학과)
TV advertising with deep analysis of watching pattern of audiences is important to set-top box audience targeting. Applying session-based recommendation model(SBR) to internet commercial, or recommendation based on searching history of user showed its effectiveness in previous studies, but applying ...
나혜연, 남기환.(2020).사용자 선호도 변화에 따른?추천시스템의 다양성 적용. 지능정보연구,?26(4), 67-86.
장동수, 이청용, 김재경.(2023).딥러닝 기반 온라인?리뷰의 언어학적 특성을 활용한 추천 시스템?성능 향상에 관한 연구. 지능정보연구,?29(1), 41-63.
홍태호, 홍준우, 김은미, 김민수. (2022). 영화 리뷰의 상품 속성과 고객 속성을 통합한 지능형 추천시스템. 지능정보연구, 28(2), 1-18.
Chung, J., Gulcehre, C., Cho, K., & Bengio, Y.?(2014). Empirical evaluation of gated recurrent?neural networks on sequence modeling. arXiv?preprint arXiv:1412.3555.
Hamilton, W., Ying, Z., & Leskovec, J. (2017).?Inductive representation learning on large graphs.?Advances in neural information processing?systems, 30.
Hidasi, B., Karatzoglou, A., Baltrunas, L., & Tikk,?D. (2015). Session-based recommendations with?recurrent neural networks. arXiv preprint arXiv:1511.06939.
Hornik, K., Stinchcombe, M., & White, H. (1989). Multilayer feedforward networks are universal?approximators. Neural networks, 2(5), 359-366.
Kipf, T. N., & Welling, M. (2016). Semi-supervised?classification with graph convolutional networks.?arXiv preprint arXiv:1609.02907.
Koren, Y., Bell, R., & Volinsky, C. (2009). Matrix?factorization techniques for recommender?systems. Computer, 42(8), 30-37.
Li, J., Ren, P., Chen, Z., Ren, Z., Lian, T., & Ma, J.?(2017, November). Neural attentive session-based?recommendation. In Proceedings of the 2017?ACM on Conference on Information and?Knowledge Management (pp. 1419-1428).
Liu, Q., Zeng, Y., Mokhosi, R., & Zhang, H. (2018,?July). STAMP: short-term attention/memory?priority model for session-based recommendation.?In Proceedings of the 24th ACM SIGKDD?international conference on knowledge discovery?& data mining (pp. 1831-1839).
Michael, K. (2020). eCommerce Events History in?Cosmetics Shop. Released March 2020, Retrieved?April 30, 2023, from https://www.kaggle.com/datasets/mkechinov/ecommerce-events-history-in-cosmetics-shop
Sahoo, N., Singh, P. V., & Mukhopadhyay, T. (2012).?A hidden Markov model for collaborative?filtering. MIS quarterly, 1329-1356.
Sarwar, B., Karypis, G., Konstan, J., & Riedl, J.?(2001, April). Item-based collaborative filtering?recommendation algorithms. In Proceedings?of the 10th international conference on World?Wide Web (pp. 285-295).
Shani, G., Brafman, R., & Heckerman, D. (2002,?August). An MDP-based recommender system,?Proc. 18th Conf. In Uncertainty in Artificial?Intelligence.
Shepard, C., Rahmati, A., Tossell, C., Zhong, L.,?& Kortum, P. (2011). LiveLab: measuring?wireless networks and smartphone users in?the field. ACM SIGMETRICS Performance?Evaluation Review, 38(3), 15-20.
Velickovic, P., Cucurull, G., Casanova, A., Romero,?A., Lio, P., & Bengio, Y. (2017). Graph attention?networks. arXiv preprint arXiv:1710.10903.
Wu, S., Tang, Y., Zhu, Y., Wang, L., Xie, X., & Tan,?T. (2019, July). Session-based recommendation?with graph neural networks. In Proceedings of?the AAAI conference on artificial intelligence?(Vol. 33, No. 01, pp. 346-353).
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.