Open Directory Project and Personalization of Online (Re)sources

ISBN-13: 9783659720482 / Angielski / Miękka / 2016 / 164 str.

Jurica Seva

Opis

News web portals present information, in previously defined topic taxonomy, in both multimedia as well as textual format, that cover all aspects of our daily lives. The information presented has a high refresh rate and as such offers a local as well as a global snapshot of the world. This book presents information extraction techniques and their use in categorisation schemes standardisation and automatic classification of newly published content. As the personalisation method, weighted Voronoi diagrams are proposed. The aim of the work is to create a virtual browsing profile based on the semantic value of information of visited nodes (web pages formatted with HTML language). The results can greatly contribute to the applicability of the personalisation data to specific information sources, including various web news portals.

O autorze

Originally from Croatia, Jurica specialises in the field of (big) data mining, analytics and visualisation. His research interests include contextual recommendation systems, automatic classification/categorisation, sentiment analysis, topic modelling, machine learning/data mining of (web) textual data and the use of NLP in large corpora.