Media Summary: This is the seventh post of the series on building self Authors: Sandra Mitrović, Vani Kanjirangat, Denis Broggini, Lorenzo Cimasoni, Marco Alberti, Alessandro Antonucci and Fabio ... From Multi-stakeholder Marketplaces to Automated RecSys Rishabh Mehrotra (Spotify); Benjamin Carterette (Spotify); Yong Li ...
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Tutorial 1c Conversational Recommender System Using Deep Reinforcement Learning - Detailed Analysis

This is the seventh post of the series on building self Authors: Sandra Mitrović, Vani Kanjirangat, Denis Broggini, Lorenzo Cimasoni, Marco Alberti, Alessandro Antonucci and Fabio ... From Multi-stakeholder Marketplaces to Automated RecSys Rishabh Mehrotra (Spotify); Benjamin Carterette (Spotify); Yong Li ... This is the sixth post of the series on building self Work by Francesca Mangili, Denis Broggini and Alessandro Antonucci presented at SUM 2020. This is the fifth post of the series on building self

Due to strong capabilities in conducting fluent, multi-turn conversations Craig Boutilier (Google and University of Toronto) ... Zuohui Fu (Rutgers University) Yikun Xian (Rutgers University) Yongfeng Zhang (Rutgers University) Yi Zhang (UC Santa Cruz)

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Tutorial 1C Conversational Recommender System Using Deep Reinforcement Learning
Developing a Conversational Recommendation System for Navigating Limited Options
#34 RLRSV34 : Post8 V2- Building self learning recommendation system using reinforcement learning
#31 RLRSV31 : Post7 V3 - Building self learning recommendation system using reinforcement learning
From Prompting to Understanding: Conversational XAI Recommender System Demo
A conversational recommender system based on neural NLP models
Deep Reinforcement Learning: Neural Networks for Learning Control Laws
KDD 2020: Lecture Style Tutorials: Advances in Recommender Systems
#25 RLRSV25 : Post6 V1 - Building self learning recommendation system using reinforcement learning
Conversational Recommender System by Bayesian Methods
#23 RLRSV23 : Post5 V5 - Self learning recommendation systems using reinforcement learning.
A Multi Agent Conversational Recommender System
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