Measuring the meaning in time series clustering of text search queries

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2006, Pages 836-837

  Liu, Bing ^a   Jones, Rosie ^b   Klinkner, Kristina Lisa ^c  

^a Virginia Polytechnic Institute and State University   (United States)

^b YAHOO RESEARCH   (United States)

^c CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Query clustering; Query log analysis; Semantic similarity; Time series; Web search

Indexed keywords

QUERY CLUSTERING; QUERY LOG ANALYSIS; SEMANTIC SIMILARITY;

CLUSTER ANALYSIS; ONLINE SEARCHING; QUERY LANGUAGES; TEXT PROCESSING; TIME SERIES ANALYSIS;

SEMANTICS;

EID: 34547620866     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1183614.1183755     Document Type: Conference Paper

References (3)

1. S. Chien and N. Immorlica. Semantic similarity between search engine queries using temporal correlation. In the 14th International World Wide Web Conference, pages 2-11, Chiba, Japan, 2005.
2. R. Jones, B. Rey, O. Madani, and W. Greiner. Generating query substitutions. In WWW '06: Proceedings of the 15th international World Wide Web conference, 2006.
3. M. Vlachos, P. S. Yu, and V. Castelli. On periodicity detection and structural periodic similarity. In the 5th SIAM International Conference on Data Mining, Newport Beach, CA, 2005.