UPRec: User-aware Pre-training for sequential Recommendation

Recent years witness the success of pre-trained models to alleviate the data sparsity problem in recommender systems. However, existing pre-trained models for recommendation mainly focus on leveraging universal sequence patterns from user behavior sequences and item information, whereas ignore heter...

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Bibliographic Details
Main Authors: Chaojun Xiao, Ruobing Xie, Yuan Yao, Zhiyuan Liu, Maosong Sun, Xu Zhang, Leyu Lin
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2023-01-01
Series:AI Open
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666651023000104