Fingerprint Fingerprint is based on mining the text of the persons scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 20 Similar Profiles
Blogs Engineering & Materials Science
Search engines Engineering & Materials Science
Information retrieval Engineering & Materials Science
Computational linguistics Engineering & Materials Science
Feedback Engineering & Materials Science
Display devices Engineering & Materials Science
Distillation Engineering & Materials Science
Learning systems Engineering & Materials Science

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Projects 2013 2020

Research Output 2005 2017

  • 923 Citations
  • 14 h-Index
  • 25 Conference contribution
  • 9 Article
2 Citations

Aggregated Search

Arguello, J. Jan 1 2017 In : Foundations and Trends in Information Retrieval. 10, 5, p. 365-502 138 p.

Research output: Contribution to journalArticle

Search engines
World Wide Web
Industry

Time limits, information search and the use of search assistance

Crescenzi, A., Capra, R. & Arguello, J. Mar 7 2017 CHIIR 2017 - Proceedings of the 2017 Conference Human Information Interaction and Retrieval. Association for Computing Machinery, Inc, p. 349-352 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Experiments
Uncertainty
1 Citations
Search engines
World Wide Web
Search behavior
Query
Search engine
2 Citations

To blend or not to blend? Perceptual speed, visual memory and aggregated search

Turpin, L., Kelly, D. & Arguello, J. Jul 7 2016 SIGIR 2016 - Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 1021-1024 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Data storage equipment
Interfaces (computer)
1 Citations

Using query performance predictors to improve spoken queries

Arguello, J., Avula, S. & Diaz, F. Jan 1 2016 Advances in Information Retrieval - 38th European Conference on IR Research, ECIR 2016, Proceedings. Springer Verlag, Vol. 9626, p. 309-321 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9626)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Transcription
Learning systems
Predictors
Query
Feedback