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2007
Springer

Discovering User Information Goals with Semantic Website Media Modeling

12 years 6 months ago
Discovering User Information Goals with Semantic Website Media Modeling
In this work we present an approach to capture the total semantics in multimedia-multimodal web pages. Our research improves upon the state-ofthe-art with two key features: (1) capturing the semantics of text and imagebased media for static and dynamic web content; and (2) recognizing that information goals are defined by emergent user behavior and not statically declared by web design alone. Given a user session, the proposed method accurately predicts user information goals and presents them as a list of most relevant words and images. Conversely, given a set of information goals, the technique predicts possible user navigation patterns as network flow with a semantically-derived flow distribution. In the latter case, differences between predicted optimal and observed user navigation patterns highlight points of suboptimal website design. We compare this approach to other content-based techniques for modeling web-usage and demonstrate its effectiveness.
Bibek Dev Bhattarai, Mike Wong, Rahul Singh
Added 04 Jun 2010
Updated 04 Jun 2010
Type Conference
Year 2007
Where MMM
Authors Bibek Dev Bhattarai, Mike Wong, Rahul Singh
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