Structuring collections with Scatter/Gather extensions

ACM SIGIR 2008 - 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Proceedings

Volumn , Issue , 2008, Pages 697-698

  Alonso, Omar ^a   Talbot, Justin ^b  

^a University of California Davis   (United States)

^b Stanford University

Author keywords

Clustering; Scatter Gather; Sense making; Text summarization

Indexed keywords

CLUSTERING; DOCUMENT COLLECTIONS; INFORMATION NEEDS; INFORMATION STRUCTURING; INITIAL DESIGNS; MENTAL MODELS; MISSING INFORMATIONS; SCATTER/GATHER; SENSE-MAKING; TEXT SUMMARIZATION; TOPIC STRUCTURES;

FLOW OF SOLIDS; INFORMATION RETRIEVAL; INFORMATION RETRIEVAL SYSTEMS; INFORMATION SERVICES; RESEARCH AND DEVELOPMENT MANAGEMENT;

CLUSTERING ALGORITHMS;

EID: 57349124820     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1390334.1390457     Document Type: Conference Paper

References (5)

1. th SIGIR (1992).
2. P. Pirolli. Information Foraging Theory. Oxford University Press (2007).
3. P. Pirolli, P. Schank, M. Hearst, and C. Diehl. "Scatter/Gather Browsing Communicates the Topic Structure of a Very Large Text Collection", Proc of SIGCHI (1996).
4. R. Mihalcea and P. Tarau, "TextRank: Bringing Order into Texts", Proc. of EMNLP (2004).
5. M. Hearst, D. Karger, and J. Pedersen. "Scatter/Gather as a Tool for the Navigation of Retrieval Results", Proc. Of AAAI (1995).