STUDY OF WEB PAGE RANKING ALGORITHMS: A REVIEW
Journal Title: Acta Informatica Malaysia - Year 2019, Vol 3, Issue 2
Abstract
Due to expanding of Web, the Information is also increasing day by day. Many users generally rely on search engine to explore the web. It is a challenge for search engine to provide relevant web page and quality information against the query submitted. This paper deals in the comparative study of various web page ranking algorithms and also its advantages and disadvantages. This paper helps to find out web page ranking algorithms’ relative strength and limitations for further research scope.
Authors and Affiliations
Aditi Chowdhary, Arvind Kumar
Keywords
Related Articles
- EP ID EP622250
- DOI 10.26480/aim.02.2019.01.04
- Views 83
- Downloads 0
RESEARCH ON THE INFLUENCE OF KNOWLEDGE BASE AND RELATIONSHIP NETWORK ON INNOVATION PERFORMANCE
This paper combines enterprise knowledge base and relational network to study its impact on innovation performance. It analyzes how the combination of knowledge base width, knowledge base depth, relationship network widt...
AGILE METHODOLOGIES AND THE USE OF ITS WATERSCRUMFALL DERIVATIVE FOR SOFTWARE PROJECT DEVELOPMENT
This paper discusses the Agile methodologies and the use of its water-scrum-fall derivative for software project development. This approach seems to be a good alternative to the current development methods.
EXPONENTIAL STABILITY CONTROL FOR NETWORKED SYSTEMS WITH INTERVAL DISTRIBUTION TIME DELAYS
To study the problem of exponential stability control for a class of networked control systems with interval distribution time delays, a new approach is given to model the networked control systems with the stochastic ti...
RECOGNIZING THE PERSONAL COMPETENCIES OF FUTURE INFORMATION PROFESSIONALS
Information agency basic responsibility focuses on the creation, acquisition, organisation, storage, dissemination and maintenance of information in whatever format, printed or digital. They required all related knowledg...
A Review on Feature based Approach in Semantic Similarity for Multiple Ontology
Measuring semantic similarity between terms is an important step in information retrieval and information integration which requires semantic content matching. Semantic similarity has attracted great concern for a long t...