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Website Ranking System
ABSTRACT:
The World Wide Web is today a perennial source of immense information. There
is therefore, a definite demand for automated methods that can locate, identify and
retrieve information to cater to the individual’s requirements, demands or whims. The
internet also creates newer possibilities to organize and recommend information. The
‘Recommendation System’ in ecommerce facilitates the discovery, collection and
analysis of data on business and its impact on shoppers including their needs and desires
by providing valued feedback on the potential effect of ebussiness on the lives of people.
For organizing information, the recommender system incorporates data mining
techniques into their recommendations using knowledge learned from the actions and
attributes of the users. Web usage mining is an application of data mining techniques to
discover usage patterns from web data in order to understand and better serve the needs
of web-based applications. In this paper we present a survey on the recent studies in the
area of recommendation systems based on web usage mining and semantic web.
EXISTING SYSTEM:
. It allows you to keep track of user activity on your site by month, week, day and
hour, to monitor total hits.
PROPOSED SYSTEM:
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. A key
issue in this area is how to discover user’s interested and behavior effectively.
MODULE DESCRIPTION:
Number of Modules
After careful analysis the system has been identified to have the following
modules:
1. Administrator Module
2. User Module
1. Administrator Module
 Admin can extracting interesting patterns from the pre processed web logs.
 Admin can get general statistics like number of hits, no of visitors.
2. User Module
 User can login and view the desire information.
 User can search what they need.
 User can get best website when they search the relevant keyword
.
NON-FUNCTIONAL REQUIREMENTS:
Software requirements:
Operating System
: Windows
Technology
: Java and J2EE
Web Technologies
: Html, JavaScript, CSS
Web Server
: Tomcat
Database
: My SQL
Java Version
: J2SDK1.5
Hardware requirements:
Hardware
-
Pentium
Speed
- 1.1 Ghz
RAM
- 1GB
Hard Disk
- 20 GB
Floppy Drive
- 1.44 MB
Key Board
- Standard Windows Keyboard
Mouse
- Two or Three Button Mouse
Monitor
- SVGA
Conclusion
The ‘Recommender system’ using web usage mining and semantic
web is an emerging area that can help in creating personalized web-based
systems. This article provides a survey on recommender systems particularly
focusing on the use of web usage mining and semantic web. This survey
aims to serve as a source of ideas for people working on recommender
systems. A key issue in this area is how to discover user’s interest and
behavior effectively.