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02/03/2023
Clustered Embedding Learning for Recommender Systems
In recent years, recommender systems have advanced rapidly, where embedd...
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11/08/2021
Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems
Recommender Systems (RSs) in real-world applications often deal with bil...
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03/23/2021
Diversity Regularized Interests Modeling for Recommender Systems
With the rapid development of E-commerce and the increase in the quantit...
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12/29/2020
Hybrid Interest Modeling for Long-tailed Users
User behavior modeling is a key technique for recommender systems. Howev...
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11/24/2020
Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction
Estimating post-click conversion rate (CVR) accurately is crucial in E-c...
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05/25/2020
Generator and Critic: A Deep Reinforcement Learning Approach for Slate Re-ranking in E-commerce
The slate re-ranking problem considers the mutual influences between ite...
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08/27/2019
Matrix embedding method in match for session-based recommendation
Session based model is widely used in recommend system. It use the user ...
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05/28/2018
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks
Tasks such as search and recommendation have become increas- ingly impor...
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05/27/2018
Dual Swap Disentangling
Learning interpretable disentangled representations is a crucial yet cha...
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03/02/2018
