Query clustering using content words and user feedback

SIGIR Forum (ACM Special Interest Group on Information Retrieval)

Volumn , Issue , 2001, Pages 442-443

  Wen, J R ^a   Nie, J Y ^a   Zhang, H J ^a  

^a MICROSOFT RESEARCH   (United States)

Author keywords

Log mining; Query clustering; User feedback; Web search

Indexed keywords

CONTENT BASED RETRIEVAL; DATA MINING; FEEDBACK; ONLINE SEARCHING; SEARCH ENGINES; WORLD WIDE WEB;

FREQUENTLY ASKED QUESTIONS (FAQ); LOG MINING; QUERY CLUSTERING;

QUERY LANGUAGES;

EID: 0034795673     PISSN: 01635840     EISSN: None     Source Type: Journal    
DOI: 10.1145/383952.384083     Document Type: Conference Paper

References (4)

1. Agglomerative clustering of a search engine query log
2. A density-based algorithm for discovering clusters in large spatial databases with noise
3. An algorithm for suffix stripping