Website ranking system
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When we are searched for information in Google,it gives the relevant information based on some algorithms like Google’s PageRank algorithm.Two latest PageRank algorithms called Source Rank, Truncated PageRank are taken to compare the existing ranking system, which is Cluster Rank, and deploy the best in the Needle Search Engine. Two attributes are taken in to consideration for selecting the best algorithm. The first one is the time and second one is human evaluation for the quality of the search. A survey is conducted with the help of the research team on finding the best algorithm on different search topics
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Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
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Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
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Website ranking system
- 1. WEBSITE RANKING SYSTEM PRESENTED BY, R.S.M.N.PRASAD. 14501F0031 .
- 2. ABSTRACT • Definite demand for automated methods that can locate, identify and retrieve information to cater to the individual’s requirements, demands or whims.
- 3. EXISTING SYSTEM It allows you to keep track of user activity on your site by month, week, day and hour, to monitor total hits.
- 4. PROPOSED SYSTEM It is a comprehensive access log analysis tool. It allows you to keep track of activity on your site by month, week, day and hour, to monitor total hits, total visitors, total successful and page views, and to keep track of your most popular pages. This survey aims to serve as a source of ideas for people working on recommender systems.
- 5. TECHNOLOGIES USED Hardware Processor Pentium IV 2.4 GHZ. Hard-Disk 40 GB or more. RAM 2 GB or more. Software Operating System Windows Technology Java and J2EE Web Technologies Html, JavaScript, CSS Web Server Tomcat Database My SQL Java Version J2SDK1.5
- 6. MODULES • Admin Module • User module • Dynamic Query Grouping
- 7. UML DIAGRAMS
- 10. SEQUENCE DIAGRAM
- 11. PACKAGE DIAGRAM
- 12. ACTIVITY DIAGRAM
- 15. LIMITATIONS • The size of the database increases day-by-day,increases the load on the database back up and data maintenance activity. • Training for simple computer operations is necessary for the users working on the system
- 16. CONCLUSION • Today the world is become a global village where every thing is online • There are so many web based solutions provided in the market for the comfort of the people
- 17. THANK YOU…