Personalized accessibility based Re-ranking of Search Engine Results (PARSER)
Image credit: SpringerAbstract
The relevancy and usability of the contents retrieved are the two major factors for deciding the utility value of web resources. In the case of persons with disabilities the usability aspect of the interface is solely dependent on the accessibility of the web contents. This paper proposes a model termed PARSER - Personalized Accessibility based Re-ranking of Search Engine Results which aims towards quantizing the optimality of the pages with respect to the user’s personalized accessibility and information requirement context.
Type
Publication
Intelligent Systems and Control (ISCO), IEEE, 2016
Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software.
Create your slides in Markdown - click the Slides button to check out the example.
Supplementary notes can be added here, including code, math, and images.
Dr. V. Balaji
Assistant Professor of Human Computer Interaction
My research interests include distributed Assistive Technologies, Accessible computing and Artificial Intelligence.