Conference proceeding
Discovering user information goals with semantic website media modeling
ADVANCES IN MULTIMEDIA MODELING, PT 1, Vol.4351(1), pp.364-375
Lecture Notes in Computer Science
01/01/2007
DOI: 10.1007/978-3-540-69423-6_36
Abstract
In this work we present an approach to capture the total semantics in multimedia-multimodal web pages. Our research improves upon the state-of-the-art with two key features: (1) capturing the semantics of text and image-based 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.
Details
- Title: Subtitle
- Discovering user information goals with semantic website media modeling
- Creators
- Bibek Bhattarai - San Francisco State UniversityMike Wong - San Francisco State UniversityRahul Singh - San Francisco State University
- Contributors
- T J Cham (Editor)J Cai (Editor)C Dorai (Editor)D Rajan (Editor)T S Chua (Editor)L T Chia (Editor)
- Resource Type
- Conference proceeding
- Publication Details
- ADVANCES IN MULTIMEDIA MODELING, PT 1, Vol.4351(1), pp.364-375
- Publisher
- Springer Nature
- Series
- Lecture Notes in Computer Science
- DOI
- 10.1007/978-3-540-69423-6_36
- ISSN
- 0302-9743
- eISSN
- 1611-3349
- Number of pages
- 12
- Language
- English
- Date published
- 01/01/2007
- Academic Unit
- Computer Science
- Record Identifier
- 9984446526402771
Metrics
1 Record Views