Browsing activities are an important source of information to build profiles of the user interests and personalize the human-computer interaction during information seeking tasks. Visited pages are easily collectible, e.g., from browsers histories and toolbars, or desktop search tools, and they often contain documents related to the current user needs. Nevertheless, menus, advertisements or pages that cover multiple topics affect negatively the advantages of an implicit feedback technique that exploits these data to build and keep updated user profiles, perform information filtering or provide contextual ads.This ongoing research aims at developing techniques to collect text relevant to the current needs from sequences of pages visited by the user. Currently tree edit distance and ad-hoc semantic similarity measures are being employed to improve the retrieval performance of text related to the current user working context.
GASPARETTI F., MICARELLI A.. Exploiting Web Browsing Histories to Identify User Needs, In Proc. of the 12th international conference on Intelligent user interfaces IUI 2007, Honolulu, Hawaii, USA, pp.325-328, 28-31 January 2007. (ACM, 2011. This is the author’s version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in IUI ’07 Proceedings of the 12th international conference on Intelligent user interfaces DOI) PDF, Bibtex