2023 - Research.com Computer Science in Spain Leader Award
2022 - Research.com Computer Science in Spain Leader Award
2020 - ACM Distinguished Member
2014 - ACM Senior Member
Carlos Castillo mostly deals with Social media, World Wide Web, Information retrieval, Microblogging and Data science. The various areas that Carlos Castillo examines in his Social media study include Variety, Information extraction, Data mining and Set. Many of his research projects under World Wide Web are closely connected to Focus with Focus, tying the diverse disciplines of science together.
His Information retrieval study frequently draws connections between related disciplines such as Web page. His Microblogging research is multidisciplinary, incorporating elements of Crowdsourcing and Lexicon. His Data science research integrates issues from Context, Discriminative model, Online advertising and Big data.
Carlos Castillo focuses on World Wide Web, Social media, Information retrieval, Data science and Artificial intelligence. He studies Microblogging, a branch of Social media. His Information retrieval research includes elements of Data mining and Web modeling.
His biological study spans a wide range of topics, including Machine learning and Natural language processing. His biological study deals with issues like Query expansion, which deal with fields such as Query language. His Search engine study integrates concerns from other disciplines, such as Ranking and The Internet.
Social media, Data science, Artificial intelligence, Ranking and Machine learning are his primary areas of study. Carlos Castillo integrates Social media with Mainstream in his study. His Data science study deals with Variety intersecting with Product and Web application.
His Classifier and Interpretability study in the realm of Artificial intelligence connects with subjects such as Justice and Statement. The concepts of his Ranking study are interwoven with issues in Risk analysis and Search engine. His study looks at the intersection of Search engine and topics like Transparency with Information retrieval.
His scientific interests lie mostly in Social media, Data science, Ranking, Learning to rank and Public policy. His research integrates issues of Digital media, Information overload and Media studies in his study of Social media. His Information overload research includes themes of Risk analysis, Service and Ranking.
His research is interdisciplinary, bridging the disciplines of Parsing and Data science. His work carried out in the field of Ranking brings together such families of science as Transparency and Information retrieval, Search engine. Carlos Castillo has included themes like Training set, Relevance and Measure in his Learning to rank study.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Information credibility on twitter
Carlos Castillo;Marcelo Mendoza;Barbara Poblete.
the web conference (2011)
Finding high-quality content in social media
Eugene Agichtein;Carlos Castillo;Debora Donato;Aristides Gionis.
web search and data mining (2008)
Twitter under crisis: can we trust what we RT?
Marcelo Mendoza;Barbara Poblete;Carlos Castillo.
knowledge discovery and data mining (2010)
Processing Social Media Messages in Mass Emergency: A Survey
Muhammad Imran;Carlos Castillo;Fernando Diaz;Sarah Vieweg.
ACM Computing Surveys (2015)
AIDR: artificial intelligence for disaster response
Muhammad Imran;Carlos Castillo;Ji Lucas;Patrick Meier.
the web conference (2014)
Know your neighbors: web spam detection using the web topology
Carlos Castillo;Debora Donato;Aristides Gionis;Vanessa Murdock.
international acm sigir conference on research and development in information retrieval (2007)
What to Expect When the Unexpected Happens: Social Media Communications Across Crises
Alexandra Olteanu;Sarah Vieweg;Carlos Castillo.
conference on computer supported cooperative work (2015)
Extracting Information Nuggets from Disaster- Related Messages in Social Media
Muhammad Imran;Shady Elbassuoni;Carlos Castillo;Fernando Diaz.
international conference on information systems for crisis response and management (2013)
The query-flow graph: model and applications
Paolo Boldi;Francesco Bonchi;Carlos Castillo;Debora Donato.
conference on information and knowledge management (2008)
Information and Influence Propagation in Social Networks
Wei Chen;Laks V. S. Lakshmanan;Carlos Castillo.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: