E-Learner Recommender System  Project in C Sharp or PHP or ASP.NET – SRS Document

E-Learner Recommender System  Project in C Sharp or PHP or ASP.NET – SRS Document

Project Domain / Category:

Information Retrieval/Web Mining

Abstract / Introduction:

Nowadays, the World Wide Web (WWW) is one of the major sources of information and it is expanding day by day. However, it is very challenging for e-learners to find the relevant information in such a huge collection of data. It is of great importance to provide a system/environment which recommends relevant information to e-learners. These systems use learners’ learning styles and knowledge levels to recommend online activities or resources that would favor and improve the learning process.

The aim of this project is developing an e-learner recommender system which will provide the most relevant and important URLs to e-learners based on their profile and history-based information.

This project has the following basic modules:

  1. Developing a small generic e-learner center:

It will provide an opportunity to the e-learners to register, create and update their own profile and perform other learning related activities.

  1. URLs Ranking and Recommendation Services:

This part of the system will rank URLs based on their interest and recommends the top 5 most relevant URLs to the e-learner using their history and profile-based information

  1. Database:

Maintaining a database for storing e-learner usage history and profile-based information. This information will be used for recommendation.

Tools:

C#, ASP.Net and SQL Server, or PHP or ASP.NET