E-Learner Recommender System (ELRS)

E-Learner Recommender System (ELRS)

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Project Domain / Category: Information Retrieval/Web Mining Abstract / Introduction:
Now a days, World Wide Web (WWW) is one of the principal resources of information and it is increasing every day. However, it is very difficult for e-freshmen to discover the applicable information in such massive series of information. It is of first rate significance to offer a gadget/environment which recommends relevant statistics to e-rookies. These systems use inexperienced persons’ getting to know patterns and know-how tiers to suggest on line sports or assets that would want and enhance the getting to know method.
The aim of this assignment is developing an e-learner recommender machine so that it will offer maximum applicable and vital URLs to e-rookies based totally on their profile and history-primarily based facts.
This task has the subsequent basic modules:

1. Developing a small prevalent e-learner centre:
It will provide opportunity to the e-learners to sign in, create and replace their personal profile and perform other getting to know related sports.
2. URLs Ranking and Recommendation Services:
This part of the gadget will rank URLs primarily based on their interest and recommends top five most applicable URLs to the e-learner the usage of their history and profile-based information
three. Database:
Maintaining a database for storing e-learner usage history and profile-based statistics. This facts might be used for recommendation.
Tools:

1. C#, ASP.Net and SQL Server

Supervisor:

Name: Said Nabi
Email ID: said.Nabi@vu.Edu.Pk Skype ID: saidnabi115