One Person, One Model—Learning Compound Router for Sequential Recommendation
Author:
Affiliation:
1. University of Science and Technology of China,Anhui Province Key Laboratory of Big Data Analysis and Application,Hefei,China
2. Tsinghua University,Shenzhen International Graduate School,Shenzhen,China
Funder
Research and Development
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10027565/10027596/10027680.pdf?arnumber=10027680
Reference39 articles.
1. Neural Input Search for Large Scale Recommendation Models
2. Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms
3. A Generic Network Compression Framework for Sequential Recommender Systems
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