Incorporating Concept Hierarchies into Usage Mining

Loading...
Thumbnail Image

View/Download File

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

Incorporating Concept Hierarchies into Usage Mining

Published Date

2006-03-20

Publisher

Type

Report

Abstract

Web usage mining is being used extensively for Web Personalization. Many algorithms and techniques have been proposed to predict the next user request. Most, however, are limited in terms of their ability to use concept hierarchy and connectivity of the website. Recent studies have shown that conceptual and structural characteristics of the website play an important role in the quality of the recommendation models. In this paper we propose a new technique to incorporate conceptual characteristics of a website into the recommendation models, and use sequence alignment techniques, adapted from the field of bioinformatics, coupled with a new model for defining page similarity. We introduce a scoring methodology to quantify page similarity derived from the concept hierarchy of a website. These scores are an essential ingredient in the sequence alignment technique. Other aspects, like time spent by the user on a page and page access sequence are also considered during the alignment. Thus, the system that we propose makes use of various sources of information to make recommendations. Finally we present experimental results to show the effectiveness of our method.

Keywords

Description

Related to

Replaces

License

Series/Report Number

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Suggested citation

Bose, Amit; Beemanapalli, Kalyan; Srivastava, Jaideep; Sahar, Sigal. (2006). Incorporating Concept Hierarchies into Usage Mining. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/215694.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.