2009 - ACM Senior Member
His primary areas of investigation include Information retrieval, World Wide Web, Relevance, Artificial intelligence and Query expansion. As part of the same scientific family, Fabio Crestani usually focuses on Information retrieval, concentrating on Statistical model and intersecting with Key. His work in World Wide Web covers topics such as Field which are related to areas like Sentiment analysis, Microblogging, Social media, Irony detection and Categorization.
His Relevance research incorporates themes from Document retrieval, Context, Multimedia information retrieval and Information system. The Artificial intelligence study combines topics in areas such as Machine learning, Data mining, Measure and Natural language processing. His work in Query expansion tackles topics such as Folksonomy which are related to areas like Vocabulary, Smoothing and Bookmarking.
Fabio Crestani mainly investigates Information retrieval, World Wide Web, Artificial intelligence, Relevance and Data mining. His Information retrieval study frequently involves adjacent topics like Relevance feedback. His World Wide Web study incorporates themes from Context, Multimedia and Mobile search.
Fabio Crestani interconnects Ranking, Machine learning, Pattern recognition and Natural language processing in the investigation of issues within Artificial intelligence. The various areas that Fabio Crestani examines in his Relevance study include Task and Information needs. Fabio Crestani has researched Query expansion in several fields, including Query language and Web search query, Web query classification.
Fabio Crestani spends much of his time researching Information retrieval, Task, World Wide Web, Social media and Context. His Information retrieval research is multidisciplinary, relying on both Ranking and Point of interest. His work deals with themes such as Natural language processing, Mobile search, Information needs and Artificial intelligence, which intersect with Task.
His World Wide Web study integrates concerns from other disciplines, such as Margin and Leverage. The study incorporates disciplines such as Sentiment analysis, Feeling and Data science in addition to Social media. His studies in Context integrate themes in fields like Resource management and Set.
Fabio Crestani mainly focuses on Information retrieval, Task, World Wide Web, Context and Ranking. His Information retrieval research is multidisciplinary, incorporating elements of Point of interest and Similarity. His Point of interest study combines topics from a wide range of disciplines, such as Popularity and Relevance.
His Task research includes themes of Social media, Personality, Fake news and Information needs. His studies deal with areas such as Margin, Categorization and Publication as well as World Wide Web. His Context study combines topics in areas such as Social network and Set.
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.
“Is this document relevant?…probably”: a survey of probabilistic models in information retrieval
Fabio Crestani;Mounia Lalmas;Cornelis J. Van Rijsbergen;Iain Campbell.
ACM Computing Surveys (1998)
Like It or Not: A Survey of Twitter Sentiment Analysis Methods
Anastasia Giachanou;Fabio Crestani.
ACM Computing Surveys (2016)
Searching the Web by constrained spreading activation
Fabio Crestani;Puay Leng Lee.
Information Processing and Management (2000)
A Test Collection for Research on Depression and Language Use
David E. Losada;Fabio Crestani.
cross language evaluation forum (2016)
Effective search results summary size and device screen size: is there a relationship?
Simon Sweeney;Fabio Crestani.
Information Processing and Management (2006)
Soft computing in information retrieval: techniques and applications
Fabio Crestani;Gabriella Pasi.
User's perception of relevance of spoken documents
Tassos Tombros;Fabio Crestani.
Journal of the Association for Information Science and Technology (2000)
Automatic authoring and construction of hypermedia for information retrieval
Maristella Agosti;Massimo Melucci;Fabio Crestani.
Multimedia Systems (1995)
Information Retrieval by Logical Imaging.
Fabio Crestani;C. J. van Rijsbergen.
Journal of Documentation (1995)
Methods for ranking information retrieval systems without relevance judgments
Shengli Wu;Fabio Crestani.
acm symposium on applied computing (2003)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.
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: