Towards personalized learning to rank for epidemic intelligence based on social media streams

WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion

Volumn , Issue , 2012, Pages 495-496

  Diaz Aviles, Ernesto ^a   Stewart, Avaré ^a   Velasco, Edward ^b   Denecke, Kerstin ^a   Nejdl, Wolfgang ^a  

^a L3S RESEARCH CENTER   (Germany)

^b ROBERT KOCH INSTITUTE   (Germany)

Author keywords

Learning to rank; Recommender systems; Twitter

Indexed keywords

BUILDING BLOCKES; CONTEXT INFORMATION; DATA SETS; EARLY WARNING SYSTEM; ENTEROHEMORRHAGIC ESCHERICHIA COLI; EXPERIMENTAL EVALUATION; GERMANY; LEARNING TO RANK; MICRO-BLOG; PERSONALIZED LEARNING; RANKING ALGORITHM; RANKING PERFORMANCE; SOCIAL MEDIA; TWITTER;

EPIDEMIOLOGY; ESCHERICHIA COLI; MEDIA STREAMING; POPULATION STATISTICS; RECOMMENDER SYSTEMS; SOCIAL NETWORKING (ONLINE);

WORLD WIDE WEB;

EID: 84861052088     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2187980.2188094     Document Type: Conference Paper

References (8)

1. R. Baeza-Yates and B. Ribeiro-Neto. Modern Information Retrieval. Addison Wesley, 2nd edition, 2011.
2. E. Diaz-Aviles, A. Stewart, E. Velasco, K. Denecke, and W. Nejdl. Epidemic Intelligence for the Crowd, by the Crowd (full version). http://arxiv.org/, 2012.
3. T.-Y. Liu. Learning to Rank for Information Retrieval. Found. Trends Inf. Retr., 3:225-331, March 2009.
4. M. J. Paul and M. Dredze. You Are What You Tweet: Analyzing Twitter for Public Health. In ICWSM'11, 2011.
5. D. Sculley. Large Scale Learning to Rank. In NIPS 2009 Workshop on Advances in Ranking, Dec. 2009.
6. Semiocast. Countries on Twitter. http://goo.gl/RfxZw, 2012.
7. A. Signorini, A. M. Segre, and P. M. Polgreen. The Use of Twitter to Track Levels of Disease Activity and Public Concern in the U.S. during the Influenza A H1N1 Pandemic. PLoS ONE, 2011.
8. M. Sofean, A. Stewart, K. Denecke, and M. Smith. Medical Case-Driven Classification of Microblogs: Characteristics and Annotation. In ACM IHI 2012, 2012.