DMMP: A distillation-based multi-task multi-tower learning model for personalized recommendation

Author:

Yi Qingqing,Tang Jingjing,Zeng Yujian,Zhang Xueting,Xu Weiqi

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

National Office for Philosophy and Social Sciences

Southwestern University of Finance and Economics

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference59 articles.

1. Learning deep structured semantic models for web search using clickthrough data;Huang,2013

2. Embedding-based retrieval in facebook search;Huang,2020

3. Mixed negative sampling for learning two-tower neural networks in recommendations;Yang,2020

4. Diving deep into clickbaits: Who use them to what extents in which topics with what effects?;Rony,2017

5. Distillation based multi-task learning: A candidate generation model for improving reading duration;Zhao,2021

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