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08/03/2023
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction
With the widespread application of personalized online services, click-t...
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06/09/2023
How Can Recommender Systems Benefit from Large Language Models: A Survey
Recommender systems (RS) play important roles to match users' informatio...
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03/09/2023
Work with AI and Work for AI: Autonomous Vehicle Safety Drivers' Lived Experiences
The development of Autonomous Vehicle (AV) has created a novel job, the ...
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10/11/2022
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems
Recommender systems are expected to be assistants that help human users ...
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07/21/2022
An advanced combination of semi-supervised Normalizing Flow Yolo (YoloNF) to detect and recognize vehicle license plates
Fully Automatic License Plate Recognition (ALPR) has been a frequent res...
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06/17/2022
A Graph-Enhanced Click Model for Web Search
To better exploit search logs and model users' behavior patterns, numero...
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11/19/2021
Towards Return Parity in Markov Decision Processes
Algorithmic decisions made by machine learning models in high-stakes dom...
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10/18/2021
Context-aware Reranking with Utility Maximization for Recommendation
As a critical task for large-scale commercial recommender systems, reran...
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04/13/2021
An Adversarial Imitation Click Model for Information Retrieval
Modern information retrieval systems, including web search, ads placemen...
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11/01/2020
U-rank: Utility-oriented Learning to Rank with Implicit Feedback
Learning to rank with implicit feedback is one of the most important tas...
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06/18/2020
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning
Interactive recommender system (IRS) has drawn huge attention because of...
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11/14/2018
