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05/21/2023
Multi-factor Sequential Re-ranking with Perception-Aware Diversification
Feed recommendation systems, which recommend a sequence of items for use...
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05/21/2023
Multi-channel Integrated Recommendation with Exposure Constraints
Integrated recommendation, which aims at jointly recommending heterogene...
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03/01/2023
Entire Space Learning Framework: Unbias Conversion Rate Prediction in Full Stages of Recommender System
Recommender system is an essential part of online services, especially f...
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09/25/2022
Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction
Recent studies on Click-Through Rate (CTR) prediction has reached new le...
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08/10/2021
End-to-End User Behavior Retrieval in Click-Through RatePrediction Model
Click-Through Rate (CTR) prediction is one of the core tasks in recommen...
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02/24/2021
Revisit Recommender System in the Permutation Prospective
Recommender systems (RS) work effective at alleviating information overl...
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06/28/2020
Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation
Data sparsity is an inherent challenge in the recommender systems, where...
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07/11/2019