Recsys 2020 Tutorial Conversational Recommender Systems

RecSys 2020 Tutorial: Conversational Recommender Systems

Conversational Recommender Systems

RecSys 2020 Tutorial: Feature Engineering for Recommender Systems

Feature Engineering for

Tutorial on Conversational Recommendation Systems

Zuohui Fu (Rutgers University) Yikun Xian (Rutgers University) Yongfeng Zhang (Rutgers University) Yi Zhang (UC Santa Cruz)

RecSys 2020 Tutorial: Introduction to Bandits in Recommender Systems

Introduction to Bandits in

RecSysOps: Best Practices for Operating a Large-Scale Recommender System

RecSys

Recent Advances in Generative Conversational Recommender Systems

This talk presents a comprehensive

A Multi Agent Conversational Recommender System

Due to strong capabilities in conducting fluent, multi-turn conversations with users, Large Language Models (LLMs) have the ...

Unleashing the Retrieval Potential of Large Language Models in Conversational Recommender Systems

by Ting Yang (Hong Kong Baptist University) and Li Chen (Hong Kong Baptist University) Abstract:

Tutorial 1C Conversational Recommender System Using Deep Reinforcement Learning

RecSys

RecSys 2020 Tutorial: Adversarial Learning for Recommendation

Adversarial Learning for

Workshop on Context-Aware Recommender Systems

All right can we see yep okay well welcome everyone to uh workshop on context aware

RecSys 2020 Tutorial: Counteracting Bias and Increasing Fairness in Search and Recommender Systems

Counteracting Bias and Increasing Fairness in Search and

RecSys 2020 Session P7B: Understanding and Modeling Preferences

Session P7B: Understanding and Modeling Preferences Session Chairs: Michael Ekstrand and Ludovico Boratto ...

Tutorial 2B Hands On Reinforcement Learning for recommender systems

RecSys

Towards Unified Metrics for Accuracy and Diversity for Recommender Systems

RecSys

Toward More Natural Interactions with Conversational Recommender Systems, by Krisztian Balog

In this webinar, Krisztian Balog (Professor, University of Stavanger) talks about

Recsys 2020 Tutorial Conversational Recommender Systems

Recsys 2020 Tutorial Conversational Recommender Systems - Detailed Analysis

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RecSys 2020 Tutorial: Conversational Recommender Systems

RecSys 2020 Tutorial: Feature Engineering for Recommender Systems

Tutorial on Conversational Recommendation Systems

RecSys 2020 Tutorial: Introduction to Bandits in Recommender Systems

RecSysOps: Best Practices for Operating a Large-Scale Recommender System

Recent Advances in Generative Conversational Recommender Systems

A Multi Agent Conversational Recommender System

Unleashing the Retrieval Potential of Large Language Models in Conversational Recommender Systems

Tutorial 1C Conversational Recommender System Using Deep Reinforcement Learning

RecSys 2020 Tutorial: Adversarial Learning for Recommendation

Workshop on Context-Aware Recommender Systems

RecSys 2020 Tutorial: Counteracting Bias and Increasing Fairness in Search and Recommender Systems

RecSys 2020 Session P7B: Understanding and Modeling Preferences

Tutorial 2B Hands On Reinforcement Learning for recommender systems

Towards Unified Metrics for Accuracy and Diversity for Recommender Systems

Toward More Natural Interactions with Conversational Recommender Systems, by Krisztian Balog