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08/08/2023
Teacher-Student Architecture for Knowledge Distillation: A Survey
Although Deep neural networks (DNNs) have shown a strong capacity to sol...
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02/04/2023
Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives
Representation learning has been a critical topic in machine learning. I...
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12/29/2022
A Survey of Diversification Techniques in Search and Recommendation
Diversifying search results is an important research topic in retrieval ...
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11/11/2022
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation
To offer accurate and diverse recommendation services, recent methods us...
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08/03/2022
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation
Multi-types of behaviors (e.g., clicking, adding to cart, purchasing, et...
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08/02/2022
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation
Implicit feedback is frequently used for developing personalized recomme...
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04/29/2022
Joint Multisided Exposure Fairness for Recommendation
Prior research on exposure fairness in the context of recommender system...
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05/06/2021
Multi-FR: A Multi-Objective Optimization Method for Achieving Two-sided Fairness in E-commerce Recommendation
Two-sided marketplaces are an important component of many existing Inter...
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01/13/2021
