Abstract
This paper deals with a comparison of selected webometric methods for the evaluation of Internet trends. Each of the selected methods uses a different methodology to the trend assessment: frequency, polarity, source quality. It can be assumed that a combination of individual methods can provide much more accurate results with respect to the desired area of interest. This will lead to improve the quality of search engines on the principle of webometrics and thereby the reduction of irrelevant web search results. The introductory part of the paper explains a concept and basic functional background for all selected webometric methods.
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© 2014 Springer International Publishing Switzerland
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Malinský, R., Jelínek, I. (2014). Comparing Methods of Trend Assessment. In: Casteleyn, S., Rossi, G., Winckler, M. (eds) Web Engineering. ICWE 2014. Lecture Notes in Computer Science, vol 8541. Springer, Cham. https://doi.org/10.1007/978-3-319-08245-5_49
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DOI: https://doi.org/10.1007/978-3-319-08245-5_49
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08244-8
Online ISBN: 978-3-319-08245-5
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