کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
493734 | 722863 | 2008 | 20 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A Monte-Carlo simulation application for automatic new topic identification of search engine transaction logs
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Simulation Modelling Practice and Theory - Volume 16, Issue 5, May 2008, Pages 519–538
Journal: Simulation Modelling Practice and Theory - Volume 16, Issue 5, May 2008, Pages 519–538
نویسندگان
Seda Ozmutlu, Huseyin C. Ozmutlu, Buket Buyuk,