Proceedings of the Workshop on Learning and Evaluating Recommendations with Impressions co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, September 19th, 2023 - researchr publication

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Maurizio Ferrari Dacrema, Pablo Castells, Justin Basilico, Paolo Cremonesi, editors, Proceedings of the Workshop on Learning and Evaluating Recommendations with Impressions co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, September 19th, 2023. Volume 3590 of CEUR Workshop Proceedings, CEUR-WS.org, 2023. [doi]

Conference: icftcs2023

Abstract is missing.

Recommendation Modeling with Impression Data at NetflixJiangwei Pan.

Panel discussion moderated by Paolo CremonesiJiangwei Pan, Arnab Bhadury, Srijan Saket.

Perface1-8 [doi]

Impression-Informed Multi-Behavior Recommender System: A Hierarchical Graph Attention ApproachDong Li, Divya Bhargavi, Vidya Sagar Ravipati. 9-21 [doi]

Characterizing Impression-Aware Recommender SystemsFernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells, Paolo Cremonesi. 22-33 [doi]

Effects of Human-curated Content on Diversity in PSM: ARD-M DatasetMarcel Hauck, Ahtsham Manzoor, Sven Pagel. 34-40 [doi]

Formulating Video Watch Success Signals for Recommendations on Short Video PlatformsSrijan Saket, Sai Baba Reddy Velugoti, Rishabh Mehrotra. 41-48 [doi]

Offline Evaluation using Interactions to Decide Cross-selling Recommendations Algorithm for Online Food DeliveryManchit Madan. 49-54 [doi]

Contextual Position Bias Estimation Using a Single Stochastic Logging PolicyGiuseppe Di Benedetto, Alexander Buchholz, Ben London 0001, Matej Jakimov, Yannik Stein, Jan Malte Lichtenberg, Vito Bellini, Matteo Ruffini, Thorsten Joachims. 55-61 [doi]

Incorporating Impressions to Graph-Based RecommendersFernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells, Paolo Cremonesi. 62-67 [doi]

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