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Kecheng Xiao

2 accepted papers

2021

AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System

IJCAI 2021poster

Recently, deep learning models have been widely explored in recommender systems. Though having achieved remarkable success, the design of task-aware recommendation models usually requires manual feature engineering and architecture engineering from domain experts. To relieve those efforts, we explor…

Cited by 17SourcePDFScholar
2020

Adversarial Oracular Seq2seq Learning for Sequential Recommendation

IJCAI 2020poster

Recently, sequential recommendation has become a significant demand for many real-world applications, where the recommended items would be displayed to users one after another and the order of the displays influences the satisfaction of users. An extensive number of models have been developed for se…

Cited by 0SourcePDFScholar