arXiv:2402.15591
공식 코드 · Papers with Code
RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface
원문 초록
We present a new Python toolkit called RecWizard for Conversational Recommender Systems (CRS). RecWizard offers support for development of models and interactive user interface, drawing from the best practices of the Huggingface ecosystems. CRS with RecWizard are modular, portable, interactive and Large Language Models (LLMs)-friendly, to streamline the learning process and reduce the additional effort for CRS research. For more comprehensive information about RecWizard, please check our GitHub https://github.com/McAuley-Lab/RecWizard.
함께 살펴볼 논문
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A Literature Review on Simulation in Conversational Recommender Systems
Conversational Recommendation System using NLP and Sentiment Analysis
Minimally Supervised Hierarchical Domain Intent Learning for CRS
Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated User
MATCHA: Can Multi-Agent Collaboration Build a Trustworthy Conversational Recommender?
Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation
토론
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