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Found 4 papers, 3 papers with code
Personalized Transfer of User Preferences for Cross-domain Recommendation
Specifically, a meta network fed with users' characteristic embeddings is learned to generate personalized bridge functions to achieve personalized transfer of preferences for each user.
Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising
Besides, MetaHeac has been successfully deployed in WeChat for the promotion of both contents and advertisements, leading to great improvement in the quality of marketing.
Decoupled Reference Governors: A Constraint Management Technique for MIMO Systems
We also show a quantitative comparison between DRG and the VRG to illustrate the computational advantages of DRG.
Real-time Attention Based Look-alike Model for Recommender System
Recently, deep learning models play more and more important roles in contents recommender systems.
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