A Hybrid Approach to Identifying User Interests in Web Portals

Web portals pioneered as one of the earliest adopters of 
personalization techniques to help users dealing with the problem of
information overload. Nowadays they are extensively used as a
single-point of access to the vast amount of resources available on the
Web and in  enterprise intranets. A number of researchers have been
investigating the possibilities to enable portals to deliver the
content in a highly-personalized manner in order to provide users with
a quick and efficient access to the subset of resources relevant to
their information needs. However, in order to achieve such a
personalization effect, the portal needs accurate and up-to-date
information about users, especially the information about their
interests. In this paper, we describe a hybrid approach to identifying
user interests in Web portals. In our approach, the portal is enabled
to  “learn'” the user interests from the content of visited pages. In
addition, it is empowered to provide users with an open access
interface to their user models to let them explicitly specify their
interests and, in case of incorrectly identified interests, outvote the
portal.

@INPROCEEDINGS{Bakalov2009jun,
  author = {Fedor Bakalov and 
	Birgitta K\"{o}nig-Ries and 
	Andreas Nauerz and 
	Martin Welsch},
  title = {A Hybrid Approach to Identifying User Interests in Web Portals},
  booktitle = {Proceedings of the 9th International Conference on 
	Innovative Internet Community Systems},
  address = {Jena, Germany},
  year = {2009},
  month = {June},
}