Back to Results
First PageMeta Content
Relevance feedback / Text Retrieval Conference / Relevance / Probabilistic relevance model / Precision and recall / Query expansion / Okapi BM25 / Learning to rank / Document retrieval / Information science / Information retrieval / Science


Temporal Feedback for Tweet Search with Non-Parametric Density Estimation Miles Efron1 , Jimmy Lin2 , Jiyin He3 , and Arjen de Vries3 1 Graduate School of Library and Information Science, University of Illinois, Urbana-
Add to Reading List

Document Date: 2014-07-18 10:50:18


Open Document

File Size: 1,05 MB

Share Result on Facebook

City

Amsterdam / True Feedback / Springer / /

Company

Twitter / /

Country

Egypt / United States / Netherlands / Australia / /

Currency

pence / USD / /

/

Event

Environmental Issue / /

Facility

Dutch National Institute / P. Hall / College Park / University of Illinois / University of Maryland / /

IndustryTerm

similar web queries / real-time search queries / tweet search effectiveness / web content / social media / tweet search / search systems / tweet search problem / indispensable communications platform / news search / real-time search / online search queries / search effectiveness / retrieval systems / /

Organization

Royal Statistical Society / Graduate School / University of Illinois / Urbana-Champaign / U.S. National Science Foundation / Dutch National Institute for Mathematics and Computer Science / University of Maryland / College Park / American Society for Information Science and Technology / /

Person

Keith Olbermann / Diaz / /

/

Position

author / RT / representative / /

ProvinceOrState

Queensland / Maryland / Illinois / New York / /

PublishedMedium

Journal of the Royal Statistical Society / the TREC news / /

SportsEvent

the Super Bowl / /

Technology

http / search engine / html / /

URL

http /

SocialTag