Browsing sessions are rich in elements useful to build profiles of user interests, but at the same time HTML pages include noise data, such as ads and navigation menus. Moreover, pages might cover several different topics. For these reasons they are often ignored in personalized approaches. We propose a novel approach for implicitly recognizing valuable text descriptions of current user needs based on the implicit feedback revealed through web browsing interactions. © 2014 IEEE.
Gasparetti, F., Micarelli, A., Sansonetti, G. (2014). Exploiting web browsing activities for user needs identification. In Proceedings - 2014 International Conference on Computational Science and Computational Intelligence, CSCI 2014 (pp.86-89). IEEE Computer Society [10.1109/CSCI.2014.100].
Exploiting web browsing activities for user needs identification
GASPARETTI, FABIO;MICARELLI, Alessandro;SANSONETTI, GIUSEPPE
2014-01-01
Abstract
Browsing sessions are rich in elements useful to build profiles of user interests, but at the same time HTML pages include noise data, such as ads and navigation menus. Moreover, pages might cover several different topics. For these reasons they are often ignored in personalized approaches. We propose a novel approach for implicitly recognizing valuable text descriptions of current user needs based on the implicit feedback revealed through web browsing interactions. © 2014 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
