Memory-Efficient Deep Recommender Systems using Approximate Rotary Compositional Embedding.

Dongning Ma|Xun Jiao


Anthology ID:DBLP:conf/sigir/MaJ24
Volume:Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
Year:2024
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:2507-2511
URL:https://doi.org/10.1145/3626772.3657953
DOI:https://doi.org/10.1145/3626772.3657953
DBLP:conf/sigir/MaJ24
BibTeX:
@inproceedings{ma-2024-memoryefficient, author = {Dongning Ma and Xun Jiao}, editor = {Grace Hui Yang and Hongning Wang and Sam Han and Claudia Hauff and Guido Zuccon and Yi Zhang}, title = {{Memory-Efficient Deep Recommender Systems using Approximate Rotary Compositional Embedding}}, booktitle = {{Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024}}, pages = {2507--2511}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3626772.3657953}, doi = {https://doi.org/10.1145/3626772.3657953} }