International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 176 - Number 24 |
Year of Publication: 2020 |
Authors: Hemangini S. Patel, Apurva A. Desai |
10.5120/ijca2020920232 |
Hemangini S. Patel, Apurva A. Desai . An Improvement of Link Analysis Algorithm to Mine Pertinent Links: Weighted HITS Algorithm based on additive fusion of graphs by Query Similarity. International Journal of Computer Applications. 176, 24 ( May 2020), 21-27. DOI=10.5120/ijca2020920232
In recent days, link analysis has been found to increase the performance of web search significantly to extract pertinent links which are valuable. Generally, short term queries matches to link anchors and titles. We give a weighted Input to HITs and proposed algorithm weighted HITs (WHITs) in which the adjacency matrix is weighted double if link anchors and titles are matched with query term by additive fusion of graphs. Experimental results provided evidences that weighted input to HITs (WHITs) returns unique rankings for authoritative pages, for link anchors and link titles which are similar to query term. The proposed algorithm, namely weighted HITs (WHITS) helps to extract a pertinent and valuable links based on similarity of link anchors, titles, and query term.