Program

	Sun, Sept 18
08:30 – 11:00	Tutorials Psychology-informed Recommender Systems (Willow) Conversational Recommender System Using Deep Reinforcement Learning (Redwood) Training and Deploying Multi-Stage Recommender Systems (Aspen)
		Doctoral Symposium 09:00 – 17:00
11:00 – 11:30
11:30 – 13:00	Tutorials Neural Re-ranking for Multi-stage Recommender Systems (Willow) Hands-on Reinforcement learning for recommender systems – From Bandits to SlateQ to Offline RL with Ray RLlib (Redwood)
13:00 – 14:30
14:30 – 17:00	Tutorials Hands on Explainable Recommender Systems with Knowledge Graphs (Willow) Offline Evaluation for Group Recommender Systems (Redwood) Improving Recommender Systems with Human-in-the-Loop (Aspen)

	Mon, Sept 19	Tue, Sept 20	Wed, Sept 21
08:00 – 09:00		Women in RecSys Breakfast
09:00 – 09:30	Welcome	Women in RecSys Breakfast	Session 7 Sessions and Interaction
09:30 – 10:30	Keynote by Mor Naaman	Keynote by Catherine D’Ignazio	Session 7 Sessions and Interaction
10:30 – 11:00	Posters Papers, Demos	Posters Papers, Industry	Posters Papers, LBR, Doct. Symp., Women in RecSys
11:00 – 12:30	Session 1 User Modeling	Session 4 Fairness and Privacy	Session 8 Models and Learning II
12:30 – 13:00		Virtual AMA with Professor D’Ignazio
13:00 – 14:00
14:00 – 15:30	Session 2 Sequential Recommendation	Session 5 Diversity and Novelty	Session 9 Large-Scale Recommendation
15:30 – 16:00	Posters Papers, Demos	Posters Papers, Industry	Posters Papers, LBR, Doct. Symp., Women in RecSys
16:00 – 17:00	Session 3 Domain-Specific Recommendation (until 17:45)	Session 6 Models and Learning I	Women in RecSys: Journal Paper of the Year Awards
17:00 – 18:00	Session 3 Domain-Specific Recommendation (until 17:45)	Session 6 Models and Learning I	Farewell
18:00 – 19:00
From 19:00	Aquarium Reception

	Thu, Sept 22	Fri, Sept 23
09:00 – 12:30	CONSEQUENCES + REVEAL PERSPECTIVES IntRS RecSys in HR RecTour AWAI (Virtual)	CONSEQUENCES + REVEAL ORSUM FAcctRec FinRec MORS FashionXRecSys (Virtual)
12:30 – 14:00
14:00 – 17:30	CONSEQUENCES + REVEAL PERSPECTIVES IntRS RecSys in HR RecTour (Virtual) KaRS RecSys Challenge	CONSEQUENCES + REVEAL ORSUM FAcctRec RecWork CARS