RecSys 2020 Tutorial: Feature Engineering for Recommender Systems

(2:11:)

RecSys 2020 Tutorial: Bayesian Value Based Recommendation

(2:1:52)

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

(1:8:1econd)

RecSys 2020 Demo: AutoRec

(14:39)

RecSys 2020 Keynote: Bias on Search and Recommender Systems

(1:3:4)

RecSys 2020 Tutorial: Adversarial Learning for Recommendation

(2:14:10)

RecSys 2020 Session P7A: Understanding and Modeling Preferences

(1:33:19)

Actions Speak Louder than Words - Yueming Wang and Jiaqi Zhai | VideoRecSys Workshop | RecSys 2024

(34:24)

MORS2022 (Workshop on Multi-Objective Recommender Systems)

(3:2:31)

Large scale Recommendations at Instagram by Thomas Bredillet | VideoRecSys Workshop | RecSys 2023

(41:31)

Tutorial 2B Hands On Reinforcement Learning for recommender systems

(1:49:27)

Workshop on Recommender Systems in Fashion 2021

(5:9:58)

Ads Recommender System (RecSys) Workshop by ShareChat

(2:45:20)

Bias Issues and Solutions in Recommender System

(3:9:49)

French webinar topic: 'Vœux des fêtes de la fin d'année et réflexions'

(2:14:56)

User Intents and Journeys in Recommender Systems by Minmin Chen | VideoRecSys Workshop | RecSys 2023

(38:43)

Multi-Modal Recommender Systems: Hands-On Exploration

(3:33:51)

RecSys 2020 Session P2B: Evaluating and Explaining Recommendations

(1:25:59)

RecSys 2020 Session P2A: Evaluating and Explaining Recommendations

(1:30:52)

RecSys 2020 Session P6A: Unbiased Recommendation and Evaluation

(1:34:32)

RecSys 2020 Session P7B: Understanding and Modeling Preferences

(1:32:51)

RecSys 2020 Tutorial: Introduction to Bandits in Recommender Systems

(1:23:7)

RecSys 2020 Session P8B: Novel Machine Learning Approaches II

(1:22:49)

RecSys 2020 Session P6B: Unbiased Recommendation and Evaluation

(1:31:56)

RecSys 2020 Welcome Session

(27:53)

RecSys 2020 Session P8A: Novel Machine Learning Approaches II

(1:16:40)

RecSys 2020: Farewell Session

(20:41)

RecSys 2020 Tutorial: Conversational Recommender Systems

(1:29:21)