Modeling Orders of User Behaviors via Differentiable Sorting: A Multi-task Framework to Predicting User Post-click Conversion

no code implementations • 18 Jul 2023 • Menghan Wang, Jinming Yang, Yuchen Guo, Yuming Shen, Mengying Zhu, Yanlin Wang

Inspired by recent advances on differentiable sorting, in this paper, we propose a novel multi-task framework that leverages orders of user behaviors to predict user post-click conversion in an end-to-end approach.

Multi-Task Learning Selection bias

HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation

no code implementations • 24 May 2022 • Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng

The ever-increasing data scale of user-item interactions makes it challenging for an effective and efficient recommender system.

Collaborative Filtering Recommendation Systems

Adaptive Portfolio by Solving Multi-armed Bandit via Thompson Sampling

no code implementations • 13 Nov 2019 • Mengying Zhu, Xiaolin Zheng, Yan Wang, Yuyuan Li, Qianqiao Liang

Also, by constructing multiple strategic arms, we can obtain the optimal investment portfolio to adapt different investment periods.

Decision Making Management +1

FinBrain: When Finance Meets AI 2.0

no code implementations • 26 Aug 2018 • Xiaolin Zheng, Mengying Zhu, Qibing Li, Chaochao Chen, Yanchao Tan

Artificial intelligence (AI) is the core technology of technological revolution and industrial transformation.

Decision Making Management