Recommendation for Learners in E-Learning System

被引：3

作者：

Chaudhary, Kamika ^{[1
]}

Gupta, Neena ^{[1
]}

机构：

[1] Gurukula Kangri Vishwavidyalaya, Dept Comp Sci, Kanya Gurukula Campus, Dehra Dun, Uttrakhand, India

来源：

2017 INTERNATIONAL CONFERENCE ON NEXT GENERATION COMPUTING AND INFORMATION SYSTEMS (ICNGCIS) | 2017年

关键词：

RecommendationSystem; SoftwareAgents; E-learning and information overload;

D O I：

10.1109/ICNGCIS.2017.8

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Recommendation Systems are the software agents which play an important part in providing the learner with a set of suitable learning resources from availability of a number of alternatives. The field of recommendation system is expanding its arms at a faster rate since last decade. Much of the work is going on in this field due to its huge importance in this information overloaded era. In this paper a comprehensive and analogous study of recommendation system for E - learning software is taken into consideration. The objective of E-learning recommendation system is to present the learner with the most required learning material so that he does not wastes his time in navigating from one material to another. In this paper a general framework of the process of e-learning is presented with a brief overview of the work done so far in this area.

引用

页码：58 / 63

页数：6

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