Mining related queries from search engine query logs

Proceedings of the 15th International Conference on World Wide Web

Volumn , Issue , 2006, Pages 943-944

  Shi, Xiaodong ^a   Yang, Christopher C ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Association rule; Edit distance; Query log; Related query; Web searching

Indexed keywords

EDIT DISTANCE; QUERY LOG; RELATED QUERY; WEB SEARCHING; ASSOCIATION RULE MINING; FREQUENCY DIVISION; HUMAN USERS; QUERY LOGS; SEARCH PROCESS;

ASSOCIATION RULES; INFORMATION RETRIEVAL SYSTEMS; QUERY LANGUAGES; SEARCH ENGINES; USER INTERFACES; ASSOCIATIVE PROCESSING; INTERNET; MINING; WEB SERVICES;

DATA MINING; ASSOCIATION RULES;

EID: 34250626876     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1135777.1135956     Document Type: Conference Paper

References (3)

1. B. M. Fonseca, P. Golgher, B. Pôssas, etc. Concept-based interactive query expansion. In Proceedings of the 14th ACM International Conference on Information and Knowledge Management (CIKM'OS), Bremen, Germany, 2005.
2. S. Chien, and N. Immorlica. Semantic similarity between search engine queries using temporal correlation. In Proceedings of the 14th International Conference on World Wide Web (WWW'05), Chiba, Japan, 2005.
3. M. Gilleland. Levenshtein Distance, in Three Flavors. URL: http://www.merriampark.com/ld.htm.