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08/17/2023
Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection
Massive key performance indicators (KPIs) are monitored as multivariate ...
share
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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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06/13/2022
Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation
Watch-time prediction remains to be a key factor in reinforcing user eng...
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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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07/06/2020
Understanding Echo Chambers in E-commerce Recommender Systems
Personalized recommendation benefits users in accessing contents of inte...
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07/11/2019
Privileged Features Distillation for E-Commerce Recommendations
Features play an important role in most prediction tasks of e-commerce r...
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04/15/2019
Personalized Context-aware Re-ranking for E-commerce Recommender Systems
Ranking is a core task in E-commerce recommender systems, which aims at ...
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04/14/2019
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Modeling users' dynamic and evolving preferences from their historical b...
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02/03/2019
Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems
Existing recommendation algorithms mostly focus on optimizing traditiona...
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08/21/2018
