Program

14:00	Session 1
14.00	Welcome
14.10	Keynote by Jiangwei Pan “Recommendation Modeling with Impression Data at Netflix”
14.40	Impression-Informed Multi-Behavior Recommender System: A Hierarchical Graph Attention Approach; Dong Li; Divya Bhargavi; Vidya Sagar Ravipati
	Characterizing Impression-Aware Recommender Systems; Fernando Benjamín Pérez Maurera; Maurizio Ferrari Dacrema; Pablo Castells; Paolo Cremonesi
	Effects of Human-curated Content on Diversity in PSM: ARD-M Dataset; Marcel Hauck; Ahtsham Manzoor; Sven Pagel
15:20	Coffee Break

16:05	Session 2
16.05	Formulating Video Watch Success Signals for Recommendations on Short Video platforms; Srijan Saket; Venkata Sai Baba Reddy Velugoti; Rishabh Mehrotra
	Offline Evaluation using Interactions to Decide Cross-selling Recommendations Algorithm for Online Food Delivery; Manchit Madan
	Contextual Position Bias Estimation using a Single Stochastic Logging Policy; Giuseppe Di Benedetto; Ben London; Alexander Buchholz; Yannik Stein; Vito Bellini; Matej Jakimov; Matteo Ruffini; Thorsten Joachims
	Incorporating Impressions to Graph-Based Recommenders; Fernando Benjamín Pérez Maurera; Maurizio Ferrari Dacrema; Pablo Castells; Paolo Cremonesi
17.00	Panel discussion moderated by Paolo Cremonesi: Jiangwei Pan (Netflix), Arnab Bhadury (YouTube), Srijan Saket (Sharechat)
17.30	Closing