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.

  • 18 Similar Profiles
Search engines Engineering & Materials Science
Students Engineering & Materials Science
Information retrieval Engineering & Materials Science
Semantics Engineering & Materials Science
Websites Engineering & Materials Science
Intelligent systems Engineering & Materials Science
Query Mathematics
Adaptive systems Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Grants 2014 2017

Research Output 2001 2017

  • 960 Citations
  • 16 h-Index
  • 36 Conference contribution
  • 15 Article
  • 3 Review article
  • 1 Chapter
1 Citations

Optimizing search results for human learning goals

Syed, R. & Collins-Thompson, K. Oct 1 2017 In : Information Retrieval Journal. 20, 5, p. 506-523 18 p.

Research output: Contribution to journalArticle

Search engines
World Wide Web
search engine

Predicting Students' Disengaged Behaviors in an Online Meaning-Generation Task

Nam, S. J., Frishkoff, G. & Collins-Thompson, K. Jun 28 2017 (Accepted/In press) In : IEEE Transactions on Learning Technologies.

Research output: Contribution to journalArticle

Intelligent systems

Retrieval algorithms optimized for human learning

Syed, R. & Collins-Thompson, K. Aug 7 2017 SIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 555-564 10 p.

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

Search engines
Information retrieval

What does student writing tell us about their thinking on social justice?

Choi, H., Brooks, C. & Collins-Thompson, K. Mar 13 2017 LAK 2017 Conference Proceedings - 7th International Learning Analytics and Knowledge Conference: Understanding, Informing and Improving Learning with Data. Association for Computing Machinery, p. 594-595 2 p.

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

Deep learning
1 Citations

Accuracy feedback improves word learning from context: evidence from a meaning-generation task

Frishkoff, G. A., Collins-Thompson, K., Hodges, L. & Crossley, S. Apr 1 2016 In : Reading and Writing. 29, 4, p. 609-632 24 p.

Research output: Contribution to journalArticle