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Yves Raimond
2020 – today
- 2022
- [c25]Richard Liaw, Paige Bailey, Ying Li, Maria Dimakopoulou, Yves Raimond:
REVEAL 2022: Reinforcement Learning-Based Recommender Systems at Scale. RecSys 2022: 684-685 - 2021
- [j4]Harald Steck, Linas Baltrunas, Ehtsham Elahi, Dawen Liang, Yves Raimond, Justin Basilico:
Deep Learning for Recommender Systems: A Netflix Case Study. AI Mag. 42(3): 7-18 (2021) - [c24]James McInerney, Ehtsham Elahi, Justin Basilico, Yves Raimond, Tony Jebara:
Accordion: A Trainable Simulator forLong-Term Interactive Systems. RecSys 2021: 102-113 - [c23]David Hubbard, Benoit Rostykus, Yves Raimond, Tony Jebara:
Beta Survival Models. SPACA 2021: 22-39 - 2020
- [c22]Thorsten Joachims, Yves Raimond, Olivier Koch, Maria Dimakopoulou, Flavian Vasile, Adith Swaminathan:
REVEAL 2020: Bandit and Reinforcement Learning from User Interactions. RecSys 2020: 628-629 - [i3]Carole-Jean Wu, Robin Burke, Ed H. Chi, Joseph A. Konstan, Julian J. McAuley, Yves Raimond, Hao Zhang:
Developing a Recommendation Benchmark for MLPerf Training and Inference. CoRR abs/2003.07336 (2020)
2010 – 2019
- 2019
- [c21]Thorsten Joachims, Maria Dimakopoulou, Adith Swaminathan, Yves Raimond, Olivier Koch, Flavian Vasile:
REVEAL 2019: closing the loop with the real world: reinforcement and robust estimators for recommendation. RecSys 2019: 568-569 - [i2]David Hubbard, Benoit Rostykus, Yves Raimond, Tony Jebara:
Beta Survival Models. CoRR abs/1905.03818 (2019) - [i1]Mohammad Saberian, Pablo Delgado, Yves Raimond:
Gradient Boosted Decision Tree Neural Network. CoRR abs/1910.09340 (2019) - 2018
- [c20]Thorsten Joachims, Adith Swaminathan, Yves Raimond, Olivier Koch, Flavian Vasile:
REVEAL 2018: offline evaluation for recommender systems. RecSys 2018: 514-515 - 2017
- [c19]Justin Basilico, Yves Raimond:
Déjà Vu: The Importance of Time and Causality in Recommender Systems. RecSys 2017: 342 - 2016
- [c18]Justin Basilico, Yves Raimond:
Recommending for the World. RecSys 2016: 375 - 2014
- [j3]Yves Raimond, Tristan Ferne, Michael Smethurst, Gareth Adams
:
The BBC World Service Archive prototype. J. Web Semant. 27-28: 2-9 (2014) - [c17]Yves Raimond, Thomas Nixon:
Identifying contributors in the BBC world service archive. INTERSPEECH 2014: 81-85 - 2013
- [c16]Yves Raimond, Michael Smethurst, Andrew McParland, Christopher Lowis:
Using the Past to Explain the Present: Interlinking Current Affairs with Archives via the Semantic Web. ISWC (2) 2013: 146-161 - [c15]Jana Eggink, Yves Raimond:
Recent advances in affective and semantic media applications at the BBC. WIAMIS 2013: 1-4 - 2012
- [c14]Yves Raimond, Mark B. Sandler
Evaluation of the Music Ontology Framework. ESWC 2012: 255-269 - [c13]Yves Raimond, Chris Lowis:
Automated interlinking of speech radio archives. LDOW 2012 - [c12]Yves Raimond, Chris Lowis, Roderick Hodgson, Jonathan Tweed:
Automated semantic tagging of speech audio. WWW (Companion Volume) 2012: 405-408 - 2011
- [p2]Werner Bailer, Susanne Boll, Òscar Celma, Michael Hausenblas
Use Case Scenarios. Multimedia Semantics 2011: 7-19 - 2010
- [p1]Yves Raimond, Tom Scott
Use of Semantic Web technologies on the BBC Web Sites. Linking Enterprise Data 2010: 263-283
2000 – 2009
- 2009
- [j2]Yves Raimond, Christopher Sutton, Mark B. Sandler
Interlinking Music-Related Data on the Web. IEEE Multim. 16(2): 52-63 (2009) - [c11]Michael Hausenblas, Wolfgang Halb, Yves Raimond, Lee Feigenbaum, Danny Ayers:
SCOVO: Using Statistics on the Web of Data. ESWC 2009: 708-722 - [c10]Georgi Kobilarov, Tom Scott
Media Meets Semantic Web - How the BBC Uses DBpedia and Linked Data to Make Connections. ESWC 2009: 723-737 - [c9]Kurt Jacobson, Yves Raimond, Mark B. Sandler:
An Ecosystem for Transparent Music Similarity in an Open World. ISMIR 2009: 33-38 - [c8]Michael Hausenblas, Raphaël Troncy, Tobias Bürger, Yves Raimond:
Interlinking Multimedia: How to Apply Linked Data Principles to Multimedia Fragments. LDOW 2009 - 2008
- [j1]Òscar Celma, Yves Raimond:
ZemPod: A semantic web approach to podcasting. J. Web Semant. 6(2): 162-169 (2008) - [c7]Yves Raimond, Mark B. Sandler:
A Web of Musical Information. ISMIR 2008: 263-268 - [c6]Alexandre Passant, Yves Raimond:
Combining Social Music and Semantic Web for Music-related Recommender Systems. SDoW@ISWC 2008 - [c5]Wolfgang Halb, Yves Raimond, Michael Hausenblas:
Building Linked Data For Both Humans and Machines. LDOW 2008 - [c4]Yves Raimond, Christopher Sutton, Mark B. Sandler:
Automatic Interlinking of Music Datasets on the Semantic Web. LDOW 2008 - 2007
- [c3]Yves Raimond, Samer A. Abdallah, Mark B. Sandler, Frederick Giasson:
The Music Ontology. ISMIR 2007: 417-422 - [c2]Yves Raimond, Christopher Sutton, Mark B. Sandler
A distributed data space for music-related information. MS 2007: 81-89 - 2006
- [c1]Yves Raimond, Samer A. Abdallah, Mark B. Sandler, Mounia Lalmas:
A Scalable Framework for Multimedia Knowledge Management. SAMT 2006: 11-25
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