정보과학회지 (Communications of the Korean Institute of Information Scientists and Engineers)

한국정보과학회 (Korean Institute of Information Scientists and Engineers)
권호 표지

추천시스템에서의 Cold-Start 문제에 관한 연구 동향

  • 발행 : 2016.06.21
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

키워드

참고문헌

  1. Bigdeli, E., and Bahmani, Z. Comparing accuracy of cosine-based similarity and correlation-based similarity algorithms in tourism recommender systems. 4th IEEE International Conference on Management of Innovation and Technology, ICMIT 2008.
  2. Steffen Rendle. 2012. Factorization Machines with libFM. ACM Trans. Intell. Syst. Technol. 3, 3, Article 57 (May 2012), 22 pages.
  3. Sunho Park, Yong-Deok Kim, and Seungjin Choi. 2013. Hierarchical Bayesian matrix factorization with side information. In Proceedings of the Twenty-Third international joint conference on Artificial Intelligence (IJCAI '13), Francesca Rossi (Ed.). AAAI Press 1593-1599.
  4. Hao Ma, Haixuan Yang, Michael R. Lyu, and Irwin King. 2008. SoRec: social recommendation using probabilistic matrix factorization. In Proceedings of the 17th ACM conference on Information and knowledge management (CIKM '08). ACM, New York, NY, USA, 931-940.
  5. Hao Ma, Dengyong Zhou, Chao Liu, Michael R. Lyu, and Irwin King. 2011. Recommender systems with social regularization. In Proceedings of the fourth ACM international conference on Web search and data mining (WSDM '11). ACM, New York, NY, USA, 287-296.
  6. Guibing Guo, Jie Zhang, and Neil Yorke-Smith. 2015. TrustSVD: collaborative filtering with both the explicit and implicit influence of user trust and of item ratings. In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI'15). AAAI Press 123-129.
  7. Tong Zhao, Julian McAuley, and ltwin King. 2014. Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering. In Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management (CIKM '14). ACM, New York, NY, USA, 261-270.
  8. Weilong Yao, Jing He, Guangyan Huang, and Yanchun Zhang. 2014. SoRank: incorporating social information into learning to rank models for recommendation. In Proceedings of the 23rd International Conference on World Wide Web (WWW '14 Companion). ACM, New York, NY, USA, 409-410.
  9. Chanyoung Park, Donghyun Kim, Jinoh Oh, and Hwanjo Yu. 2016. TRecSo: Enhancing Top-k Recommendation With Social Information. In Proceedings of the 25th International Conference Companion on World Wide Web(WWW '16 Companion). International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland, 89-90.
  10. Chong Wang and David M. Blei. 2011. Collaborative topic modeling for recommending scientific articles. In Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '11). ACM, New York, NY, USA, 448-456
  11. Hao Wang, Naiyan Wang, and Dit-Yan Yeung. 2015. Collaborative Deep Learning for Recommender Systems. In Proceedings of the 21 th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '15). ACM, New York, NY, USA, 1235-1244.
  12. Ruining He and Julian McAuley. 2016. VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback. In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI'16).
  13. Ruining He, Chunbin Lin, Jianguo Wang and Julian McAuley, Sherlock: Sparse Hierarchical Embeddings for Visually-aware One-class Collaborative Filtering. In Proceedings of the Twenty-Sixth international joint conference on Artificial Intelligence (IJCAI '16)