


default search action
ComplexRec-ImpactRS@RecSys 2020: Virtual Event, Brazil
- Toine Bogers, Marijn Koolen, Casper Petersen, Bamshad Mobasher, Alexander Tuzhilin, Oren Sar Shalom, Dietmar Jannach, Joseph A. Konstan:
Proceedings of the Workshops on Recommendation in Complex Scenarios and the Impact of Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020), Online, September 25, 2020. CEUR Workshop Proceedings 2697, CEUR-WS.org 2020
Session 1: ComplexRec 2020
- Christine Bauer
:
Ratings in, rankings out. Keep it simple, they said. But we need more than that (Keynote). - Oleksii Moskalenko, Diego Sáez-Trumper, Denis Parra:
Scalable Recommendation of Wikipedia Articles to Editors Using Representation Learning. - Denis Parra, Pablo Messina, Manuel Cartagena, Felipe del-Rio, Patricio Cerda-Mardini:
CuratorNet: Visually-aware Recommendation of Art Images. - Themis Mavridis, Soraya Hausl, Andrew Mende, Roberto Pagano:
Beyond algorithms: Ranking at scale at Booking.com. - Soumya Wadhwa, Ashish Ranjan, Selene Xu, Jason H. D. Cho, Sushant Kumar, Kannan Achan:
Personalizing Item Recommendation via Price Understanding. - Dirk Ahlers:
Making Sense of the Urban Future: Recommendation Systems in Smart Cities.
Session 2: ImpactRS 2020
- Dougal Shakespeare, Lorenzo Porcaro, Emilia Gómez, Carlos Castillo:
Exploring Artist Gender Bias in Music Recommendation. - Jisu Jeong, Jeong-Min Yun, Hongi Keam, Young-Jin Park, Zimin Park, Junki Cho:
div2vec: Diversity-Emphasized Node Embedding. - Naama Dayan, Kobi Gal, Avi Segal, Guy Shani, Darlene Cavalier:
Intelligent Recommendations for Citizen Science. - Andres Ferraro, Sergio Oramas, Massimo Quadrana, Xavier Serra:
Maximizing the Engagement: Exploring New Signals of Implicit Feedback in Music Recommendations.

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.