Search Results for author:
Found 2 papers, 1 papers with code
FAN: Fatigue-Aware Network for Click-Through Rate Prediction in E-commerce Recommendation
Then the frequency spectrum is modulated by category information of the target item to model the bias that both the upper bound of fatigue and users' patience is different for different categories.
Prototypical Contrastive Learning and Adaptive Interest Selection for Candidate Generation in Recommendations
First, a user has multiple embeddings to reflect various interests, and such number is fixed.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
