3D PARSER: Three-Dimensional Profile-based Search Engine Re-ranking Model for Persons with Disabilities

Authors

  • V. Balaji, AB Shakooor Nengroo, K S Kuppusamy

Abstract

The human dependency on the internet and its services has been phenomenal which makes the web as a vital component. The power of the Web is in its universality. Person with Disabilities (PwDs) have equal opportunity to access this vital resource in a barrier-free setup.    It is imperative to gauge the quality of the web pages and ensure that every individual can access the services without any barrier. Accessibility and readability issues are emanating in the information retrieval process for PwDs. Delivery of accessible web resources while considering the cognition level of the client remains a challenge. A novel approach to sorting the search engine query results attuned to the proficiency of Persons with Disabilities (PwDs) is proposed. The proposed re-ranking system termed as 3D-PARSER is established on accessibility, readability and relevancy metrics. The 3D-PARSER is an efficient to perform the re-rank of search engine results based on the accessibility and readability score of a web site withholding the relevancy of the query. The 3D-PARSER tailored results are projected to PwDs access the information without any accessibility barrier. The evaluation of the 3D-PARSER rank effectiveness has been done with existing standards like DCG (Discounted Cumulative Gain) and NDCG (Normalized Discounted Cumulative Gain). The real-time performance analysis of the proposed model has also been conducted in a real environment with PwDs.

Published

2020-12-01

Issue

Section

Articles