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ORCIDLERI@RecSys 2023: Singapore
- Maurizio Ferrari Dacrema, Pablo Castells, Justin Basilico, Paolo Cremonesi:
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. CEUR Workshop Proceedings 3590, CEUR-WS.org 2023 - Perface. 1-8
Keynote
- Jiangwei Pan:
Recommendation Modeling with Impression Data at Netflix. LERI@RecSys 2023
Session 1
- Dong Li, Divya Bhargavi, Vidya Sagar Ravipati:
Impression-Informed Multi-Behavior Recommender System: A Hierarchical Graph Attention Approach. 9-21 - Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells, Paolo Cremonesi:
Characterizing Impression-Aware Recommender Systems. 22-33 - Marcel Hauck, Ahtsham Manzoor, Sven Pagel:
Effects of Human-curated Content on Diversity in PSM: ARD-M Dataset. 34-40
Session 2
- Srijan Saket, Sai Baba Reddy Velugoti, Rishabh Mehrotra:
Formulating Video Watch Success Signals for Recommendations on Short Video Platforms. 41-48 - Manchit Madan:
Offline Evaluation using Interactions to Decide Cross-selling Recommendations Algorithm for Online Food Delivery. 49-54 - Giuseppe Di Benedetto, Alexander Buchholz, Ben London, Matej Jakimov, Yannik Stein, Jan Malte Lichtenberg, Vito Bellini, Matteo Ruffini, Thorsten Joachims:
Contextual Position Bias Estimation Using a Single Stochastic Logging Policy. 55-61 - Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells, Paolo Cremonesi:
Incorporating Impressions to Graph-Based Recommenders. 62-67
Panel discussion
- Jiangwei Pan, Arnab Bhadury, Srijan Saket:
Panel discussion moderated by Paolo Cremonesi. LERI@RecSys 2023
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