Fresh Content Recommendation at Scale: A Multi-funnel Solution and the Potential of LLMs.

Jianling Wang|Haokai Lu|Minmin Chen


Anthology ID:DBLP:conf/wsdm/WangLC24
Volume:Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024
Year:2024
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:1186-1187
URL:https://doi.org/10.1145/3616855.3635749
DOI:https://doi.org/10.1145/3616855.3635749
DBLP:conf/wsdm/WangLC24
BibTeX:
@inproceedings{wang-2024-fresh, author = {Jianling Wang and Haokai Lu and Minmin Chen}, editor = {Luz Angelica Caudillo-Mata and Silvio Lattanzi and Andr\'{e}s Mu\~{n}oz Medina and Leman Akoglu and Aristides Gionis and Sergei Vassilvitskii}, title = {{Fresh Content Recommendation at Scale: A Multi-funnel Solution and the Potential of LLMs}}, booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}}, pages = {1186--1187}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3616855.3635749}, doi = {https://doi.org/10.1145/3616855.3635749} }