Deployable and Continuable Meta-learning-Based Recommender System with Fast User-Incremental Updates.

Renchu Guan|Fausto Giunchiglia|Mengcheng Fang|Haoyu Pang|Hongyu Wang|Ximing Li|Fausto Giunchiglia|Mengcheng Fang|Xichuan Niu|Xuefeng Yang|Hongyu Wang|Ximing Li|Xichuan Niu|Xuefeng Yang|Xiaoyue Feng


Anthology ID:DBLP:conf/sigir/GuanPGLYF22
Volume:SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022
Year:2022
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:1423-1433
URL:https://doi.org/10.1145/3477495.3531964
DOI:https://doi.org/10.1145/3477495.3531964
DBLP:conf/sigir/GuanPGLYF22
BibTeX:
@inproceedings{guan-2022-deployable, author = {Renchu Guan and Fausto Giunchiglia and Mengcheng Fang and Haoyu Pang and Hongyu Wang and Ximing Li and Fausto Giunchiglia and Mengcheng Fang and Xichuan Niu and Xuefeng Yang and Hongyu Wang and Ximing Li and Xichuan Niu and Xuefeng Yang and Xiaoyue Feng}, editor = {Enrique Amig\'{o} and Pablo Castells and Julio Gonzalo and Ben Carterette and J. Shane Culpepper and Gabriella Kazai}, title = {{Deployable and Continuable Meta-learning-Based Recommender System with Fast User-Incremental Updates}}, booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}}, pages = {1423--1433}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3477495.3531964}, doi = {https://doi.org/10.1145/3477495.3531964} }