Cross Site Product Page Classification with Supervised Machine Learning

This work outlines a possible technique for identifying webpages that contain product  specifications. Using support vector machines a product web page classifier was constructed and tested with various settings. The final result for this classifier ended up being 0.958 in precision and 0.796 in rec...

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Bibliographic Details
Main Author: Huss, Jakob
Format: Others
Language:English
Published: KTH, Skolan för datavetenskap och kommunikation (CSC) 2016
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189555