As both the volume of data and the diversity of users accessing
them increase, personalization systems offer through preferences a useful
means towards improving the relevance of the query results to the
information needs of the specific user posing the query. In this talk, we
will focus on enhancing preferences with context. Context expresses
conditions on situations external to the database. It is modeled using a set
of hierarchical attributes, thus allowing context specification at various
levels of detail. We will formulate the context resolution problem as the
problem of selecting appropriate preferences based on context for
personalizing a query. We will also present algorithms for context
resolution based on data structures that index preferences by exploiting the
hierarchical nature of the context attributes. Finally, we will explore the
integration of preferences to achieve personalized ranked retrieval
(i) in keyword search in database systems and (ii) in publish/subscribe data
delivery.
Managing Contextual Preferences
24.09.2012
Date : 24.09.2012
Time: 11:00 - 13:00
Location : "Alkiviades C. Payatakes" Seminar Room, FORTH, Heraklion, Crete
Host : Vassilis Christophides
Kostas Stefanidis is currently a Marie Curie fellow, funded by
the ERCIM Alain Bensoussan Network, at the Data and Information Management
Group of Prof. Kjetil Norvag at the Department of Computer and Information
Science of the Norwegian University of Science and Technology. Previously,
he worked at the database research group of Prof. Yufei Tao at the
Department of Computer Science and Engineering of the Chinese University of
Hong Kong. He obtained his PhD in Computer Science from the University of
Ioannina, Greece, in 2009, under the supervision of Prof. Evaggelia Pitoura.
He received his MSc and BSc Degrees from the same university in 2005 and
2003, respectively. His research interests include personalized search,
recommendations, keyword search and social networks.