3 citations · 10 across the 7 of their papers we have counts for
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cs.IR2022★ 1 cited
Recommender Transformers with Behavior Pathways
Zhiyu Yao, Xinyang Chen, Sinan Wang +4
Sequential recommendation requires the recommender to capture the evolving behavior characteristics from logged user behavior data for accurate recommendations. However, user behav…
cs.IR2022★ 3 cited
MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation
Linhao Luo, Yumeng Li, Buyu Gao +7
Large-scale e-commercial platforms in the real-world usually contain various recommendation scenarios (domains) to meet demands of diverse customer groups. Multi-Domain Recommendat…
cs.SE2022★ 1 cited
Aper: Evolution-Aware Runtime Permission Misuse Detection for Android Apps
Sinan Wang, Yibo Wang, Xian Zhan +4
The Android platform introduces the runtime permission model in version 6.0. The new model greatly improves data privacy and user experience, but brings new challenges for app deve…