User-Centric Conversational Recommendation with Multi-Aspect User Modeling (UCCR)
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Updated
Jul 7, 2022 - Python
User-Centric Conversational Recommendation with Multi-Aspect User Modeling (UCCR)
[KDD23] Official PyTorch implementation for "Improving Conversational Recommendation Systems via Counterfactual Data Simulation".
Official PyTorch implementation for "Multi-grained Hypergraph Interest Modeling for Conversational Recommendation".
[KDD23] Official PyTorch implementation for "Improving Conversational Recommendation Systems via Counterfactual Data Simulation".
[Official Code] Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation
Aspect Based ReDial(AB-ReDial): Is a subset data from ReDial annotated on six dialogue aspects and overall user satisfaction at the turn and dialogue levels with the following aspects; relevance, interestingness, understanding, task completion, interest arousal, and efficiency
Conversational recommender system research
Recommendation Systems with mathematical modelling
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