Senior Research Scientist
CurrentNatural Language Processing and advanced knowledge representation at Spotify
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José Luis Redondo García is listed as Senior Research Scientist at Spotify at Spotify, a company with 7693 employees, based in Greater Madrid Metropolitan Area, Spain, Spain. AeroLeads shows a matched LinkedIn profile for José Luis Redondo García.
José Luis Redondo García previously worked as Senior Research Scientist at Spotify and Co-Founder at Librairy_Eu. José Luis Redondo García holds Doctor Of Philosophy - Phd, Computer Science from Télécom Paristech.
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I work on researching and developing natural language understanding technologies for Amazon Alexa. My evolving research interests include NLP, Knowledge Representation, Web Semantic and Multimedia Annotation. My work on automatically collecting and ranking contextual entities in international news has obtained the Best Paper Award at the international conference KCAP 2015. I have worked as a Postdoc with the Ontology Engineering Group at the Artificial Intelligent Faculty, Universidad Politécnica de Madrid, studying the potential of ontology learning and topic modelling techniques to make sense out of big collections of textual documents. From 2012 to 2016 I pursued my PhD with the Doctoral School Telecom Paristech, in France. As a member of the Data Science department at Eurecom Institute in Sophia Antipolis, I have been involved in different national and european projects such as LinkedTV, MediaMixer, o 3Cixty.
Listed skills include Semantic Web, Multimedia, Knowledge Representation, Ontology Engineering, and 13 others.
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Natural Language Processing and advanced knowledge representation at Spotify
Cambridge, United Kingdom
Working on making Alexa smarter. I contributein the following areas: (1) building an experimentation platform enabling scientist to test new AI models and techniques, (2) investigating the impact of custom data-selection methods and advanced neural-based models to boost Alexa's understanding capabilities, and (3) rapid bootstrapping of new languages in.
Madrid Area, Spain
Under the scope of the project DrInventor, I study how scientific and technical document collections can benefit from advanced annotation methods such as topic modelling and ontology learning techniques, in order to help experts to traverse and discover knowledge across several different research areas
He investigates how to bring semantic to the multimedia field, and in particular to Television. The objective is making TV content and Web information as seamlessly interconnected as is done today in the Web of Data: interlinked at different granularities (Media Fragments URI 1.0), searchable, and accessible everywhere and at every time.He also works on.
Amsterdam, North Holland, Netherlands
Collaborated with researchers at CWI in developing an approach to retrieve named entities that are relevant to new stories in the Web. These entities further disclose details about these news, which were not explicitly mentioned in the original newscast. A ranking algorithm based on entity frequency, popularity peak analysis, and domain experts’ rules.
Improving Linked Data consuming techniques through the use of Ontology Alignment Techniques. The task of integrating Linked Data sources in information systems involves high temporal costs and manual-based efforts that do not bring significant advantages over conventional data retrieving methods. By using Ontology Alignment Techniques, it is possible to.
Development of a Java application (WeAPoN) for creating Administrative Processes and serializing them in RDF according to an ontology specifically created for this domain. The workflows are graphically designed by using Petri nets diagrams. After the serialization, Web form based applications are automatically generated out of the ontological.
This research consist in the study of valid scenarios for developing interactiveMultimedia Home Platform applications by using low-cost components. Also, It was developed a digital interactive application for deploying e-learning services over DVB-T signal.
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Meltem Özperçel
Colleague at SpotifyIstanbul, Istanbul, Türkiye, Turkey
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Vera Vali
Colleague at SpotifyAthens Metropolitan Area, Greece
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Mehul Gamit
Colleague at SpotifySurat, Gujarat, India, India
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Gal Reyes
Colleague at SpotifyNew York, New York, United States, United States
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Akshay Garad
Colleague at SpotifyMaharashtra, India, India
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Daniel Harth
Colleague at SpotifyGreater Stockholm Metropolitan Area, Sweden
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Ayinla Olusegun
Colleague at SpotifyDundalk, Maryland, United States, United States
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Seyed Mohamed M
Colleague at SpotifyChennai, Tamil Nadu, India, India
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Sara Hussien
Colleague at SpotifyCairo, Cairo, Egypt, Egypt
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Sarah Raymond
Colleague at SpotifyNew York, New York, United States, United States
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I explored how Information Extraction and Machine Learning techniques can help to summarize into a single knowledge unit the contextual.
Quick answers generated from the profile data available on this page.
José Luis Redondo García works for Spotify.
José Luis Redondo García is listed as Senior Research Scientist at Spotify at Spotify.
José Luis Redondo García is based in Greater Madrid Metropolitan Area, Spain, Spain while working with Spotify.
José Luis Redondo García has worked for Spotify, Librairy_Eu, Amazon, Ontology Engineering Group, Universidad Politécnica De Madrid, and Eurecom.
José Luis Redondo García's colleagues at Spotify include Meltem Özperçel, Vera Vali, Mehul Gamit, Gal Reyes, and Akshay Garad.
You can use AeroLeads to view verified contact signals for José Luis Redondo García at Spotify, including work email, phone, and LinkedIn data when available.
José Luis Redondo García holds Doctor Of Philosophy - Phd, Computer Science from Télécom Paristech.
José Luis Redondo García is listed with skills including Semantic Web, Multimedia, Knowledge Representation, Ontology Engineering, Social Media, Computer Science, Rdf, and Semantic Technologies.
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