ComplexRec-ImpactRS@RecSys

Keyphrases

Publications

2020

Andres Ferraro, Sergio Oramas, Massimo Quadrana, Xavier Serra
Maximizing the Engagement: Exploring New Signals of Implicit Feedback in Music Recommendations. ComplexRec-ImpactRS@RecSys (2020)
Soumya Wadhwa, Ashish Ranjan, Selene Xu, Jason H. D. Cho, Sushant Kumar, Kannan Achan
Personalizing Item Recommendation via Price Understanding. ComplexRec-ImpactRS@RecSys (2020)
Denis Parra, Pablo Messina, Manuel Cartagena, Felipe del-Rio, Patricio Cerda-Mardini
CuratorNet: Visually-aware Recommendation of Art Images. ComplexRec-ImpactRS@RecSys (2020)
Oleksii Moskalenko, Diego Sáez-Trumper, Denis Parra
Scalable Recommendation of Wikipedia Articles to Editors Using Representation Learning. ComplexRec-ImpactRS@RecSys (2020)
Dougal Shakespeare, Lorenzo Porcaro, Emilia Gómez, Carlos Castillo
Exploring Artist Gender Bias in Music Recommendation. ComplexRec-ImpactRS@RecSys (2020)
Themis Mavridis, Soraya Hausl, Andrew Mende, Roberto Pagano
Beyond algorithms: Ranking at scale at Booking.com. ComplexRec-ImpactRS@RecSys (2020)
Dirk Ahlers
Making Sense of the Urban Future: Recommendation Systems in Smart Cities. ComplexRec-ImpactRS@RecSys (2020)
Christine Bauer
Ratings in, rankings out. Keep it simple, they said. But we need more than that (Keynote). ComplexRec-ImpactRS@RecSys (2020)
Jisu Jeong, Jeong-Min Yun, Hongi Keam, Young-Jin Park, Zimin Park, Junki Cho
div2vec: Diversity-Emphasized Node Embedding. ComplexRec-ImpactRS@RecSys (2020)
Naama Dayan, Kobi Gal, Avi Segal, Guy Shani, Darlene Cavalier
Intelligent Recommendations for Citizen Science. ComplexRec-ImpactRS@RecSys (2020)

volume 2697, 2020

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. ComplexRec-ImpactRS@RecSys 2697 (2020)