Defining topic boundaries in search engine transaction logs using genetic algorithms
Date
2009
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Taylor & Francis
Abstract
This study proposes to use genetic algorithms for defining the topic boundaries in search of engine transaction logs. Users are interested in multiple topics during a search session, and genetic algorithms are used in this study to determine whether a search engine user has changed topics during a session. Sample data logs from FAST and Excite search engines were analyzed. The findings show that genetic algorithms are fairly successful in identifying topic continuations and shifts in search engine transaction logs.
Description
Keywords
Session identification, Web, Engines, Genetic algorithms, Search engines, World Wide Web, Sample data, Search sessions, Transaction log, Information retrieval, Computer science, Engineering
Citation
Özmutlu, S. ve Coşar, C. G. (2009). "Defining topic boundaries in search engine transaction logs using genetic algorithms". Applied Artificial Intelligence, 23(10), 910-931.