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cs.IR2024
Beyond the Sequence: Statistics-Driven Pre-training for Stabilizing Sequential Recommendation Model
Sirui Wang, Peiguang Li, Yunsen Xian +1
The sequential recommendation task aims to predict the item that user is interested in according to his/her historical action sequence. However, inevitable random action, i.e. user…
cs.IR2022
AutoFAS: Automatic Feature and Architecture Selection for Pre-Ranking System
Xiang Li, Xiaojiang Zhou, Yao Xiao +4
Industrial search and recommendation systems mostly follow the classic multi-stage information retrieval paradigm: matching, pre-ranking, ranking, and re-ranking stages. To account…