Collaborative querying using a hybrid content and results based query clustering approach
Nyein Chan Soe Win
Date of Issue2005
Wee Kim Wee School of Communication and Information
This dissertation proposes an extended K-means query clustering approach to cluster user queries utilizing both query terms and result, i.e. result URL, title and snippet from query result list. Similarities between queries are defined as content-based, results-based and hybrid approach or combination of both content-based and results-based.
DRNTU::Library and information science::Libraries::Technologies
Nanyang Technological University