Book chapter
Analysis of Usage Patterns in Large Multimedia Websites
Advanced Information and Knowledge Processing, pp.301-320
Advanced Information and Knowledge Processing, Springer Nature
01/01/2010
DOI: 10.1007/978-1-84996-074-8_11
Abstract
User behavior in a website is a critical indicator of the web site's usability and success. Therefore an understanding or usage patterns is essential to website design optimization. In this context, large multimedia websites pose a significant challenge for comprehension of the complex and diverse user behaviors they sustain. This is due to the complexity of analyzing and understanding user-data interactions in media-rich contexts. In this chapter we present a novel multi-perspective approach for usability analysis of large media rich websites. Our research combines multimedia web content analysis with elements of web-log analysis and visualization/visual mining of web usage metadata. Multimedia content analysis allows direct estimation of the information-cues presented to a user by the web content. Analysis of web logs and usage-metadata, such as location, type, and frequency of interactions provides a complimentary perspective on the site's usage. The entire set of information is leveraged through powerful visualization and interactive querying techniques to provide analysis of usage patterns, measure of design quality, as well as the ability to rapidly identify problems in the web-site design. Experiments on media rich sites including the SkyServer - a large multimedia web-based astronomy information repository demonstrate the efficacy and promise of the proposed approach.
Details
- Title: Subtitle
- Analysis of Usage Patterns in Large Multimedia Websites
- Creators
- Rahul Singh - San Francisco State UniversityBibek Bhattarai - San Francisco State University
- Contributors
- R Chbeir (Editor)Y Badr (Editor)A Abraham (Editor)A E Hassanien (Editor)
- Resource Type
- Book chapter
- Publication Details
- Advanced Information and Knowledge Processing, pp.301-320
- Publisher
- Springer Nature; NEW YORK
- Series
- Advanced Information and Knowledge Processing
- DOI
- 10.1007/978-1-84996-074-8_11
- eISSN
- 2197-8441
- ISSN
- 1610-3947
- Number of pages
- 20
- Language
- English
- Date published
- 01/01/2010
- Academic Unit
- Computer Science
- Record Identifier
- 9984446526602771
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