zhengyima/DHAP
Source code of SIGIR2021 Paper 'One Chatbot Per Person: Creating Personalized Chatbots based on Implicit Profiles'
This project helps build chatbots that respond uniquely to each individual user, making conversations feel more natural and relevant. It takes historical chat logs for multiple users as input and produces a trained chatbot model that generates personalized responses. This is for anyone creating customer service bots, virtual assistants, or any conversational AI where a consistent, personalized user experience is key.
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Use this if you need to create chatbots that adapt their responses based on each user's past conversations and preferences.
Not ideal if you're looking for a pre-trained, ready-to-deploy chatbot or a tool for general, non-personalized conversational AI.
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Language
Python
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Last pushed
Sep 21, 2021
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