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07/21/2023
Alleviating the Long-Tail Problem in Conversational Recommender Systems
Conversational recommender systems (CRS) aim to provide the recommendati...
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06/05/2023
Improving Conversational Recommendation Systems via Counterfactual Data Simulation
Conversational recommender systems (CRSs) aim to provide recommendation ...
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05/22/2023
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
The recent success of large language models (LLMs) has shown great poten...
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06/19/2022
Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning
Conversational recommender systems (CRS) aim to proactively elicit user ...
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09/07/2021
On unified framework for nonlinear grey system models: an integro-differential equation perspective
Nonlinear grey system models, serving to time series forecasting, are ex...
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08/24/2021
Image-based Insider Threat Detection via Geometric Transformation
Insider threat detection has been a challenging task over decades, exist...
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01/04/2021
CRSLab: An Open-Source Toolkit for Building Conversational Recommender System
In recent years, conversational recommender system (CRS) has received mu...
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09/04/2018
