The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Squiride Rank: Squirrel Ride Rank Algorithm-Based Feature Extraction for Re-Ranking of Web Pages
|
|
Author(s): Lata Jaywant Sankpal (Bharati Vidyapeeth (Deemed University) College of Engineering, Pune, India)and Suhas H. Patil (Bharati Vidyapeeth (Deemed University) College of Engineering, Pune, India)
Copyright: 2022
Volume: 14
Issue: 1
Pages: 23
Source title:
International Journal of Web Portals (IJWP)
DOI: 10.4018/IJWP.298990
PurchaseView on the publisher's website for pricing and purchasing information.
|
Abstract
The proposed SquiRide Rank algorithm is designed by integrating the Squirrel Search Algorithm (SSA) with the Rider Optimization Algorithm (ROA), respectively. The concept of fictional computing and the foraging behavior realize the re-ranking process more effectively in the web environment. However, the features extracted from the web pages makes the process more effective and achieve global optimal solution through the fitness measure. The proposed SquiRide Rank algorithm effectively captures and analyzes the ranking scores of different search engines in order to generate the re-ranked score result. However, the proposed SquiRide Rank algorithm provides satisfactory results using the metrics, like precision, recall, and F-measure, which acquired with the values of 0.964, 0.996, and 0.980, respectively.
Related Content
|
Lata Jaywant Sankpal, Suhas H. Patil.
© 2022.
23 pages.
|
|
Amna Alsalem, Emad Ahmed Abu-Shanab.
© 2022.
20 pages.
|
|
Bimal aklesh Kumar.
© 2022.
12 pages.
|
|
Nikola Vlahovic, Andrija Brljak, Mirjana Pejic-Bach.
© 2021.
19 pages.
|
|
Ahmed Aloui, Okba Kazar.
© 2021.
20 pages.
|
|
Ilhem Feddaoui, Faîçal Felhi, Fahad Algarni, Jalel Akaichi.
© 2021.
22 pages.
|
|
Fernando Almeida, José Augusto Monteiro.
© 2021.
12 pages.
|
|
|