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.

  • 11 Similar Profiles
Visualization Engineering & Materials Science
Search engines Engineering & Materials Science
information Social Sciences
user Social Sciences
data Social Sciences
Experiments Engineering & Materials Science
Websites Engineering & Materials Science
Electronic mail Engineering & Materials Science

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Grants 2011 2020

Research Output 1999 2016

CodeMend: Assisting interactive programming with bimodal embedding

Rong, X., Yan, S., Oney, S., Dontcheva, M. & Adar, E. Oct 16 2016 UIST 2016 - Proceedings of the 29th Annual Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc, p. 247-258 12 p.

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

Search engines
Application programming interfaces (API)
2 Citations

EgoSet: Exploiting word ego-networks and user-generated ontology for multifaceted set expansion

Rong, X., Chen, Z., Mei, Q. & Adar, E. Feb 8 2016 WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 645-654 10 p.

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

Seed
Semantics
Ontology

Engineering information disclosure: Norm shaping designs

Chang, D., Krupka, E. L., Adar, E. & Acquisti, A. May 7 2016 CHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, p. 587-597 11 p.

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

Human computer interaction
User interfaces
Industry
1 Citations

Information evolution in social networks

Adamic, L. A., Lento, T. M., Adar, E. & Ng, P. C. Feb 8 2016 WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 473-482 10 p.

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

Population distribution
Copying
1 Citations

Link-prediction enhanced consensus clustering for complex networks

Burgess, M., Adar, E. & Cafarella, M. May 1 2016 In : PLoS ONE. 11, 5, e0153384

Research output: Contribution to journalArticle

Cluster Analysis
Ego
Datasets