A Monte-Carlo simulation application for automatic new topic identification of search engine transaction logs

作者：Ozmutlu Seda^*; Ozmutlu Huseyin C; Buyuk Buket

来源：Simulation Modelling Practice and Theory, 2008, 16(5): 519-538.

DOI：10.1016/j.simpat.2008.02.005

• Monte-Carlo simulation
• information science
• search engine user behavior
• new topic identification

One of the most important dimensions of Web user information seeking behavior and search engine research is content-based behavior, and limited research has focused on content-based behavior of search engine users. The purpose of this study is to perform automatic new topic identification in search engine transaction logs using Monte-Carlo simulation. Sample data logs from FAST and Excite are used in the study. Findings show that Monte-Carlo simulation for new topic identification yields satisfactory results in terms of identifying topic continuations; however, the performance measures regarding topic shifts should be improved.

• 出版日期2008-5