2024-03-182024-03-182007Özmutlu, S. vd. (2007). "Using Monte-Carlo simulation for automatic new topic identification of search engine transaction logs". Proceedings - Winter Simulation Conference, 2285-2293.978-1-4244-1305-8https://hdl.handle.net/11452/40459Bu çalışma, 09-12, Aralık 2007 tarihlerinde Washington[Amerika]’da düzenlenen 2007 Winter Simulation Conference Kongresi‘nde bildiri olarak sunulmuştur.One of the most important dimensions of search engine 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 present a simulation application on information science, by performing 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.eninfo:eu-repo/semantics/closedAccessInformation-seekingComputer softwareEnginesInformation managementInformation servicesWorld Wide WebInternetTelecommunication networksMonte Carlo methodsSearch enginesContent-basedUser informationEngine researchTopic identificationMonte Carlo SimulationSimulation applicationsMonte-Carlo simulationsSample dataPerformance measuresInformation retrievalProceedings Paper0002560718011152-s2.0-4974909376123062314Computer science, interdisciplinary applicationsMathematics, appliedOperations research & management scienceQuery Reformulation; Image Indexing; Information Retrieval