The Use of Support Vector Machines When Designing a User-Defined Niche Search Engine

Maria Jakovljevic, Howard Sommerfeld, Alfred Coleman

Abstract


Abstract: This study presents the construction of a niche search engine, whose search topic domain is to be user-defined.  The specific focus of this study is the investigation of the role that a Support Vector Machine plays when classifying textual data from web pages. Furthermore, the aim is to establish whether this niche search engine can return results that are more relevant to a user than when compared to those returned by a commercial search engine Through the conduction of various experiments across a number of appropriate datasets, the suitability of the SVM to classify web pages has been proven to meet the needs of a niche search engine. A subset of the most useful webpage-specific features has been discovered, with the best performing feature being a web pages’ Text & Title component. The user defined niche search engine was successfully designed and an experiment showed that it returned more relevant results than a commercial search engine.


Keywords


Support vector machine; search engine; text classification and processing;information retrieval

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DOI: http://dx.doi.org/10.31341/jios.42.1.5

Journal of Information and Organizational Sciences (Online)
ISSN 1846-9418 (online)
ISSN 1846-3312 (print)