Mutual information based clustering of market basket data for profiling users

  • Attraction and commercial success of web sites depend heavily on the additional values visitors may find. Here, individual, automatically obtained and maintained user profiles are the key for user satisfaction. This contribution shows for the example of a cooking information site how user profiles might be obtained using category information provided by cooking recipes. It is shown that metrical distance functions and standard clustering procedures lead to erroneous results. Instead, we propose a new mutual information based clustering approach and outline its implications for the example of user profiling.

Download full text files

Export metadata

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Bartholomäus Ende, Rüdiger W. BrauseGND
URN:urn:nbn:de:hebis:30-79251
Parent Title (German):Postprint, zuerst in: in: IEEE 19th Int. Conf on Tools with Art. Intell. ICTAI-2007, Patras 2007, IEEE Press 2007
Document Type:Article
Language:English
Date of Publication (online):2010/09/08
Year of first Publication:2007
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2010/09/08
Source:in: IEEE 19th Int. Conf on Tools with Art. Intell. ICTAI-2007, Patras 2007, IEEE Press 2007
HeBIS-PPN:228091292
Institutes:Informatik und Mathematik / Informatik
Angeschlossene und kooperierende Institutionen / E-Finance Lab e.V.
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Sammlungen:Universitätspublikationen
Licence (German):License LogoDeutsches Urheberrecht

OPUS4 Logo