Generative Adversarial Framework for Cold-Start Item Recommendation

Hao Chen; Zefan Wang; Feiran Huang; Xiao Huang; Yue Xu; Yishi Lin; Peng He; Zhoujun Li

Generative Adversarial Framework for Cold-Start Item Recommendation

Hao Chen, Zefan Wang, Feiran Huang, Xiao Huang, Yue Xu, Yishi Lin, Peng He, Zhoujun Li

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

48 Citations (Scopus)

Original language	English
Title of host publication	45th International ACM SIGIR Conference on Research and Development in Information Retrieval
Pages	2565-2571
Publication status	Published - 2022
Event	45th International ACM SIGIR Conference on Research and Development in Information Retrieval - Madrid, Spain Duration: 11 Jul 2022 → 15 Jul 2022

Publication series

Name	International ACM SIGIR Conference on Research and Development in Information Retrieval

Competition

Competition	45th International ACM SIGIR Conference on Research and Development in Information Retrieval
Country/Territory	Spain
City	Madrid
Period	11/07/22 → 15/07/22

Cite this

@inproceedings{d156a842618447e5baeb228187919a8d,

title = "Generative Adversarial Framework for Cold-Start Item Recommendation",

author = "Hao Chen and Zefan Wang and Feiran Huang and Xiao Huang and Yue Xu and Yishi Lin and Peng He and Zhoujun Li",

year = "2022",

language = "English",

series = "International ACM SIGIR Conference on Research and Development in Information Retrieval",

pages = "2565--2571",

booktitle = "45th International ACM SIGIR Conference on Research and Development in Information Retrieval",

note = "45th International ACM SIGIR Conference on Research and Development in Information Retrieval ; Conference date: 11-07-2022 Through 15-07-2022",

}

Chen, H, Wang, Z, Huang, F, Huang, X, Xu, Y, Lin, Y, He, P & Li, Z 2022, Generative Adversarial Framework for Cold-Start Item Recommendation. in 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 2565-2571, 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 11/07/22.

Generative Adversarial Framework for Cold-Start Item Recommendation. / Chen, Hao; Wang, Zefan; Huang, Feiran et al.
45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2022. p. 2565-2571 (International ACM SIGIR Conference on Research and Development in Information Retrieval).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Generative Adversarial Framework for Cold-Start Item Recommendation

AU - Chen, Hao

AU - Wang, Zefan

AU - Huang, Feiran

AU - Huang, Xiao

AU - Xu, Yue

AU - Lin, Yishi

AU - He, Peng

AU - Li, Zhoujun

PY - 2022

Y1 - 2022

M3 - Conference article published in proceeding or book

T3 - International ACM SIGIR Conference on Research and Development in Information Retrieval

SP - 2565

EP - 2571

BT - 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

T2 - 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Y2 - 11 July 2022 through 15 July 2022

ER -