[TNNLS] Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems
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Updated
May 15, 2024 - Python
[TNNLS] Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems
CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).
[KDD23] Official PyTorch implementation for "Improving Conversational Recommendation Systems via Counterfactual Data Simulation".
[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".
A Comparative Study on Joint Intent Detection and Slot Filling models based on MultiWOZ dataset
Conversational Recommender System (CRS) paper list. 对话推荐系统论文列表
the Pytorch implementation for our EMNLP 2021 paper "Learning Neural Templates for Recommender Dialogue System"
Neureca: a chatbot framework for Conversational Recommender Systems
Code for paper: Towards Conversational Search and Recommendation: System Ask, User Respond
Must-read Papers for Recommender Systems (RS)
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