CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).
-
Updated
Apr 12, 2024 - Python
CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).
Must-read Papers for Recommender Systems (RS)
Conversational Recommender System (CRS) paper list. 对话推荐系统论文列表
Code for paper: Towards Conversational Search and Recommendation: System Ask, User Respond
the Pytorch implementation for our EMNLP 2021 paper "Learning Neural Templates for Recommender Dialogue System"
[KDD23] Official PyTorch implementation for "Improving Conversational Recommendation Systems via Counterfactual Data Simulation".
[TNNLS] Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems
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".
Neureca: a chatbot framework for Conversational Recommender Systems
A Comparative Study on Joint Intent Detection and Slot Filling models based on MultiWOZ dataset
Add a description, image, and links to the conversational-recommendation topic page so that developers can more easily learn about it.
To associate your repository with the conversational-recommendation topic, visit your repo's landing page and select "manage topics."