Calendar-Based Relevance Boosting

Examensarbete för masterexamen

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dc.contributor.authorChristiansson, Marcus
dc.contributor.authorWintzell, Peter
dc.contributor.departmentChalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)sv
dc.contributor.departmentChalmers University of Technology / Department of Computer Science and Engineering (Chalmers)en
dc.description.abstractInformation retrieval systems have become a more central component in modern Software Engineering. It is hence important to improve the models that determine relevance, both concerning what data is used and how to use the data, particularly to support more personalized systems. Among the multiplicity of models to determine relevance, contextbased search aims to improve the relevance of retrieved information by considering in what context a search is being carried out. This study evaluates how improved search relevance can be achieved by considering the context of the calendar. Hence, a model concept was constructed, implemented in a typical enterprise search environment and furthermore evaluated using statistical testing. The results showed a statistically significant improvement on the search relevance using keyword matching. Nevertheless, temporal methods of determining context had no significant impact on the search relevance. Future works include evaluation of the concept in an authentic environment to determine concept applicability.
dc.subjectData- och informationsvetenskap
dc.subjectComputer and Information Science
dc.titleCalendar-Based Relevance Boosting
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster Thesisen
Collection:Examensarbeten för masterexamen // Master Theses

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