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ORCIDXavier Amatriain
Person information
- affiliation: Curai, Palo Alto, CA, USA
- affiliation: Quora, Los Gatos, CA, USA
- affiliation: Netflix, Los Gatos, CA, USA
- affiliation: University of California, Santa Barbara, CA, USA
- affiliation: Telefonica Research, Barcelona, Spain
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Books and Theses
- 2005
[b1]Xavier Amatriain:
An Object-oriented metamodel for digital signal processing with a focus on audio and music. Pompeu Fabra University, Spain, 2005
Journal Articles
- 2012
- [j6]Xavier Amatriain:
Mining large streams of user data for personalized recommendations. SIGKDD Explor. 14(2): 37-48 (2012) - 2011
- [j5]Xavier Amatriain, Pau Arumí:
Frameworks Generate Domain-Specific Languages: A Case Study in the Multimedia Domain. IEEE Trans. Software Eng. 37(4): 544-558 (2011) - 2009
- [j4]Xavier Amatriain, JoAnn Kuchera-Morin, Tobias Höllerer, Stephen Travis Pope:
The AlloSphere: Immersive Multimedia for Scientific Discovery and Artistic Exploration. IEEE Multim. 16(2): 64-75 (2009) - 2008
- [j3]Xavier Amatriain, Pau Arumí, David García:
A framework for efficient and rapid development of cross-platform audio applications. Multim. Syst. 14(1): 15-32 (2008) - 2007
- [j2]Xavier Amatriain:
CLAM: A Framework for Audio and Music Application Development. IEEE Softw. 24(1): 82-85 (2007) - [j1]Xavier Amatriain:
A Domain-Specific Metamodel for Multimedia Processing Systems. IEEE Trans. Multim. 9(6): 1284-1298 (2007)
Conference and Workshop Papers
- 2023
- [c44]Maksim Eremeev, Ilya Valmianski, Xavier Amatriain, Anitha Kannan:
Injecting knowledge into language generation: a case study in auto-charting after-visit care instructions from medical dialogue. ACL (1) 2023: 2373-2390 - [c43]Mengqian Wang, Ilya Valmianski, Xavier Amatriain, Anitha Kannan:
Learning functional sections in medical conversations: iterative pseudo-labeling and human-in-the-loop approach. MLHC 2023: 772-787 - 2022
- [c42]Raymond Li, Ilya Valmianski, Li Deng, Xavier Amatriain, Anitha Kannan:
OSLAT: Open Set Label Attention Transformer for Medical Entity Retrieval and Span Extraction. ML4H@NeurIPS 2022: 373-390 - 2021
- [c41]Rhys Compton, Ilya Valmianski, Li Deng, Costa Huang, Namit Katariya, Xavier Amatriain, Anitha Kannan:
MEDCOD: A Medically-Accurate, Emotive, Diverse, and Controllable Dialog System. ML4H@NeurIPS 2021: 110-129 - [c40]Bharath Chintagunta, Namit Katariya, Xavier Amatriain, Anitha Kannan:
Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization. MLHC 2021: 354-372 - 2020
- [c39]Anirudh Joshi, Namit Katariya, Xavier Amatriain, Anitha Kannan:
Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures. EMNLP (Findings) 2020: 3755-3763 - [c38]Clara H. McCreery, Namit Katariya, Anitha Kannan, Manish Chablani, Xavier Amatriain:
Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs. KDD 2020: 3458-3465 - 2019
- [c37]Viraj Prabhu, Anitha Kannan, Murali Ravuri, Manish Chaplain, David A. Sontag, Xavier Amatriain:
Few-Shot Learning for Dermatological Disease Diagnosis. MLHC 2019: 532-552 - 2018
- [c36]Murali Ravuri, Anitha Kannan, Geoffrey J. Tso, Xavier Amatriain:
Learning from the experts: From expert systems to machine-learned diagnosis models. MLHC 2018: 227-243 - 2016
- [c35]Xavier Amatriain:
Past, Present, and Future of Recommender Systems: An Industry Perspective. IUI 2016: 1 - [c34]Xavier Amatriain, Justin Basilico:
Past, Present, and Future of Recommender Systems: An Industry Perspective. RecSys 2016: 211-214 - [c33]Lei Yang, Xavier Amatriain:
Recommending the World's Knowledge: Application of Recommender Systems at Quora. RecSys 2016: 389 - [c32]Xavier Amatriain, Deepak Agarwal:
Tutorial: Lessons Learned from Building Real-life Recommender Systems. RecSys 2016: 433 - [c31]Xavier Amatriain:
Machine Learning for Q&A Sites: State of the Art and Research Directions. WWW (Companion Volume) 2016: 665 - 2014
- [c30]Xavier Amatriain, Bamshad Mobasher:
The recommender problem revisited: morning tutorial. KDD 2014: 1971 - [c29]Xavier Amatriain:
The recommender problem revisited. RecSys 2014: 397-398 - 2013
- [c28]Xavier Amatriain:
Beyond data: from user information to business value through personalized recommendations and consumer science. CIKM 2013: 2199-2200 - [c27]Xavier Amatriain:
Beyond data: from user information to business value through personalized recommendations and consumer science. CIKM 2013: 2201-2208 - [c26]Xavier Amatriain:
Big & personal: data and models behind netflix recommendations. BigMine 2013: 1-6 - 2012
- [c25]Xavier Amatriain:
Building industrial-scale real-world recommender systems. RecSys 2012: 7-8 - [c24]Xavier Amatriain, Pablo Castells
, Arjen P. de Vries, Christian Posse:
Workshop on recommendation utility evaluation: beyond RMSE - RUE 2012. RecSys 2012: 351-352 - 2011
- [c23]Denis Parra, Xavier Amatriain:
Walk the Talk - Analyzing the Relation between Implicit and Explicit Feedback for Preference Elicitation. UMAP 2011: 255-268 - 2010
- [c22]Nava Tintarev, Ana Flores, Xavier Amatriain:
Off the beaten track: a mobile field study exploring the long tail of tourist recommendations. Mobile HCI 2010: 209-218 - [c21]Alexandros Karatzoglou, Xavier Amatriain, Linas Baltrunas, Nuria Oliver:
Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering. RecSys 2010: 79-86 - [c20]Josep Bachs Barrio, Xavier Amatriain Rubio:
Geolocated movie recommendations based on expert collaborative filtering. RecSys 2010: 347-348 - [c19]Toni Cebrián, Marc Planagumà, Paulo Villegas, Xavier Amatriain:
Music recommendations with temporal context awareness. RecSys 2010: 349-352 - [c18]Neal Lathia, Stephen Hailes, Licia Capra, Xavier Amatriain:
Temporal diversity in recommender systems. SIGIR 2010: 210-217 - [c17]Jae-wook Ahn, Xavier Amatriain:
Towards Fully Distributed and Privacy-Preserving Recommendations via Expert Collaborative Filtering and RESTful Linked Data. Web Intelligence 2010: 66-73 - 2009
- [c16]Neal Lathia, Xavier Amatriain, Josep M. Pujol:
Collaborative Filtering With Adaptive Information Sources (Short Paper). ITWP 2009 - [c15]Xavier Amatriain, Josep M. Pujol, Nava Tintarev, Nuria Oliver:
Rate it again: increasing recommendation accuracy by user re-rating. RecSys 2009: 173-180 - [c14]Xavier Amatriain, Neal Lathia, Josep M. Pujol, Haewoon Kwak, Nuria Oliver:
The wisdom of the few: a collaborative filtering approach based on expert opinions from the web. SIGIR 2009: 532-539 - [c13]Xavier Amatriain, Josep M. Pujol, Nuria Oliver:
I Like It... I Like It Not: Evaluating User Ratings Noise in Recommender Systems. UMAP 2009: 247-258 - 2008
- [c12]Meeyoung Cha, Pablo Rodriguez, Jon Crowcroft, Sue B. Moon, Xavier Amatriain:
Watching television over an IP network. Internet Measurement Conference 2008: 71-84 - 2007
- [c11]Xavier Amatriain, Jorge Castellanos, Tobias Höllerer, JoAnn Kuchera-Morin, Stephen Travis Pope, Graham Wakefield, Will Wolcott:
Experiencing Audio and Music in a Fully Immersive Environment. CMMR 2007: 380-400 - [c10]Xavier Amatriain, Tobias Höllerer, JoAnn Kuchera-Morin, Stephen Travis Pope:
Immersive audio and Music in the AlloSphere. ICMC 2007 - [c9]Alex Norman, Xavier Amatriain:
Data jockey, a Tool for Meta-Data Enhanced Digital DJing and Active listening. ICMC 2007 - [c8]Tobias Höllerer, JoAnn Kuchera-Morin, Xavier Amatriain:
The allosphere: a large-scale immersive surround-view instrument. EDT 2007: 3 - 2006
- [c7]Stephen Travis Pope, Xavier Amatriain, Lance Putnam, Jorge Castellanos, Ryan Avery:
Metamodels and Design Patterns in CSL4. ICMC 2006 - [c6]Xavier Amatriain, Pau Arumí, David García:
CLAM: a framework for efficient and rapid development of cross-platform audio applications. ACM Multimedia 2006: 951-954 - 2005
- [c5]Xavier Amatriain, Pau Arumí:
Developing Cross-Platform audio and Music Applications with the CLAM Framework. ICMC 2005 - [c4]Xavier Amatriain, Jordi Massaguer, David García, Ismael Mosquera:
The CLAM Annotator: A Cross-Platform Audio Descriptors Editing Tool. ISMIR 2005: 426-429 - 2002
- [c3]Xavier Amatriain, Maarten de Boer, Enrique Robledo, David García:
CLAM: an OO framework for developing audio and music applications. OOPSLA Companion 2002: 22-23 - [c2]Xavier Amatriain, Pau Arumí, Miguel Ramírez:
CLAM, yet another library for audio and music processing? OOPSLA Companion 2002: 46-47 - 2000
- [c1]Perfecto Herrera-Boyer, Xavier Amatriain, Eloi Batlle, Xavier Serra:
Towards Instrument Segmentation for Music Content Description: a Critical Review of Instrument Classification Techniques. ISMIR 2000
Parts in Books or Collections
- 2011
- [p1]Xavier Amatriain, Alejandro Jaimes, Nuria Oliver, Josep M. Pujol:
Data Mining Methods for Recommender Systems. Recommender Systems Handbook 2011: 39-71
Editorship
- 2018
- [e3]Sole Pera, Michael D. Ekstrand, Xavier Amatriain, John O'Donovan:
Proceedings of the 12th ACM Conference on Recommender Systems, RecSys 2018, Vancouver, BC, Canada, October 2-7, 2018. ACM 2018, ISBN 978-1-4503-5901-6 [contents] - 2012
- [e2]Xavier Amatriain, Pablo Castells, Arjen P. de Vries, Christian Posse, Harald Steck:
Proceedings of the Workshop on Recommendation Utility Evaluation: Beyond RMSE, RUE 2012, Dublin, Ireland, September 9, 2012. CEUR Workshop Proceedings 910, CEUR-WS.org 2012 [contents] - 2010
- [e1]Xavier Amatriain, Marc Torrens, Paul Resnick, Markus Zanker:
Proceedings of the 2010 ACM Conference on Recommender Systems, RecSys 2010, Barcelona, Spain, September 26-30, 2010. ACM 2010, ISBN 978-1-60558-906-0 [contents]
Reference Works
- 2015
- [r2]Xavier Amatriain, Josep M. Pujol:
Data Mining Methods for Recommender Systems. Recommender Systems Handbook 2015: 227-262 - [r1]Xavier Amatriain, Justin Basilico:
Recommender Systems in Industry: A Netflix Case Study. Recommender Systems Handbook 2015: 385-419
Informal and Other Publications
- 2024
- [i20]Xavier Amatriain:
Prompt Design and Engineering: Introduction and Advanced Methods. CoRR abs/2401.14423 (2024) - [i19]Shervin Minaee, Tomás Mikolov, Narjes Nikzad, Meysam Chenaghlu, Richard Socher, Xavier Amatriain, Jianfeng Gao:
Large Language Models: A Survey. CoRR abs/2402.06196 (2024) - 2023
- [i18]Xavier Amatriain:
Transformer models: an introduction and catalog. CoRR abs/2302.07730 (2023) - [i17]Maksim Eremeev, Ilya Valmianski, Xavier Amatriain, Anitha Kannan:
Injecting knowledge into language generation: a case study in auto-charting after-visit care instructions from medical dialogue. CoRR abs/2306.03652 (2023) - 2022
- [i16]Raymond Li, Ilya Valmianski, Li Deng, Xavier Amatriain, Anitha Kannan:
OSLAT: Open Set Label Attention Transformer for Medical Entity Span Extraction. CoRR abs/2207.05817 (2022) - [i15]Mengqian Wang, Ilya Valmianski, Xavier Amatriain, Anitha Kannan:
Learning functional sections in medical conversations: iterative pseudo-labeling and human-in-the-loop approach. CoRR abs/2210.02658 (2022) - 2021
- [i14]Bharath Chintagunta, Namit Katariya, Xavier Amatriain, Anitha Kannan:
Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization. CoRR abs/2110.07356 (2021) - [i13]Varun Nair, Namit Katariya, Xavier Amatriain, Ilya Valmianski, Anitha Kannan:
Adding more data does not always help: A study in medical conversation summarization with PEGASUS. CoRR abs/2111.07564 (2021) - [i12]Rhys Compton, Ilya Valmianski, Li Deng, Costa Huang, Namit Katariya, Xavier Amatriain, Anitha Kannan:
MEDCOD: A Medically-Accurate, Emotive, Diverse, and Controllable Dialog System. CoRR abs/2111.09381 (2021) - 2020
- [i11]Anitha Kannan, Richard Chen, Vignesh Venkataraman, Geoffrey J. Tso, Xavier Amatriain:
COVID-19 in differential diagnosis of online symptom assessments. CoRR abs/2008.03323 (2020) - [i10]Clara H. McCreery, Namit Katariya, Anitha Kannan, Manish Chablani, Xavier Amatriain:
Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs. CoRR abs/2008.13546 (2020) - [i9]Anirudh Joshi, Namit Katariya, Xavier Amatriain, Anitha Kannan:
Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures. CoRR abs/2009.08666 (2020) - [i8]Ali Mottaghi, Prathusha K. Sarma, Xavier Amatriain, Serena Yeung, Anitha Kannan:
Medical symptom recognition from patient text: An active learning approach for long-tailed multilabel distributions. CoRR abs/2011.06874 (2020) - 2019
- [i7]Viraj Prabhu, Anitha Kannan, Geoffrey J. Tso, Namit Katariya, Manish Chablani, David A. Sontag, Xavier Amatriain:
Open Set Medical Diagnosis. CoRR abs/1910.02830 (2019) - [i6]Sam Shleifer, Manish Chablani, Namit Katariya, Anitha Kannan, Xavier Amatriain:
Classification As Decoder: Trading Flexibility For Control In Neural Dialogue. CoRR abs/1910.03476 (2019) - [i5]Clara McCreery, Namit Katariya, Anitha Kannan, Manish Chablani, Xavier Amatriain:
Domain-Relevant Embeddings for Medical Question Similarity. CoRR abs/1910.04192 (2019) - [i4]Sam Shleifer, Manish Chablani, Anitha Kannan, Namit Katariya, Xavier Amatriain:
Classification as Decoder: Trading Flexibility for Control in Medical Dialogue. CoRR abs/1911.08554 (2019) - [i3]Anitha Kannan, Jason Alan Fries, Eric Kramer, Jen Jen Chen, Nigam Shah, Xavier Amatriain:
The accuracy vs. coverage trade-off in patient-facing diagnosis models. CoRR abs/1912.08041 (2019) - 2018
- [i2]Murali Ravuri, Anitha Kannan, Geoffrey J. Tso, Xavier Amatriain:
Learning from the experts: From expert systems to machine learned diagnosis models. CoRR abs/1804.08033 (2018) - [i1]Viraj Prabhu, Anitha Kannan, Murali Ravuri, Manish Chablani, David A. Sontag, Xavier Amatriain:
Prototypical Clustering Networks for Dermatological Disease Diagnosis. CoRR abs/1811.03066 (2018)
Coauthor Index
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