Saúl Vargas

13 papers A* 2A 3Journal 2Unranked 4
YearRankTypeTitle / Venue / Authors
2022 — ch.
Novelty and Diversity in Recommender Systems.
Recommender Systems Handbook
Pablo Castells, Neil Hurley, Saúl Vargas
2019 — conf
Learning Embeddings for Product Size Recommendations.
eCOM@SIGIR
Kallirroi Dogani, Matteo Tomassetti, Saúl Vargas, Benjamin Paul Chamberlain, Sofie De Cnudde
2019 J jnl
Scalable Hyperbolic Recommender Systems.
CoRR
Benjamin Paul Chamberlain, Stephen R. Hardwick, David R. Wardrope, Fabon Dzogang, Fabio Daolio, Saúl Vargas
2018 — ch.
Academic Recommendations: The Mendeley Case.
Collaborative Recommendations
Maya Hristakeva, Daniel Kershaw, Benjamin Pettit, Saúl Vargas, Kris Jack
2018 A* conf
Product Characterisation towards Personalisation: Learning Attributes from Unstructured Data to Recommend Fashion Products.
KDD
Ângelo Cardoso, Fabio Daolio, Saúl Vargas
2018 J jnl
Product Characterisation towards Personalisation: Learning Attributes from Unstructured Data to Recommend Fashion Products.
CoRR
Ângelo Cardoso, Fabio Daolio, Saúl Vargas
2017 — conf
Building recommender systems for scholarly information.
SWM@WSDM
Maya Hristakeva, Daniel Kershaw, Marco Rossetti, Petr Knoth, Benjamin Pettit, Saúl Vargas, Kris Jack
2017 — conf
Effectively identifying users' research interests for scholarly reference management and discovery.
SWM@WSDM
Marco Rossetti, Saúl Vargas, Davide Magatti, Benjamin Pettit, Daniel Kershaw, Maya Hristakeva, Kris Jack
2016 A conf
Mendeley: Recommendations for Researchers.
RecSys
Saúl Vargas, Maya Hristakeva, Kris Jack
2016 A conf
Term-by-Term Query Auto-Completion for Mobile Search.
WSDM
Saúl Vargas, Roi Blanco, Peter Mika
2015 — conf
Analysing Compression Techniques for In-Memory Collaborative Filtering.
RecSys Posters
Saúl Vargas, Craig Macdonald, Iadh Ounis
2014 A conf
Coverage, redundancy and size-awareness in genre diversity for recommender systems.
RecSys
Saúl Vargas, Linas Baltrunas, Alexandros Karatzoglou, Pablo Castells
2014 A* conf
Novelty and diversity enhancement and evaluation in recommender systems and information retrieval.
SIGIR
Saúl Vargas