Page Ranking: Weighted Algorithms - (Page Ranking, Ranking Algorithms)

There are billions of web pages available on the World Wide Web (WWW). So there are lots of search results corresponding to a user's query out of which only some are relevant. The relevancy of a web page is calculated by search engines using page ranking algorithms. Most of the page ranking algorithm use web structure mining and web content mining to calculate the relevancy of a web page. In this thesis, we provide an extension to standard Weighted PageRank algorithm by combining web structure mining with web usage mining. The proposed method takes into account the importance of both the number of visits of inlinks and outlinks of the pages and distributes rank scores based on the popularity of the pages. So, the resultant pages are displayed on the basis of user browsing behavior.

A propos de l'auteur

El Dr. Ravinder Kumar trabaja actualmente como Profesor Asociado en el Departamento de Ingeniería Mecánica y de Automatización de la Universidad Amity de Noida. Tiene más de 16 años de experiencia en la enseñanza de estudiantes graduados de ingeniería.

Détails du produit

• Auteurs: Ravinder Kumar
• Edition: LAP Lambert Academic Publishing
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 27.12.2021
• EAN: 9786204733395
• ISBN: 978-620-4-73339-5
• Pages: 52
• Dimensions: 150 mm x 220 mm x 4 mm
• Poids: 96 g
• Catégorie: Sciences sociales, droit, économie > Economie > Autres