Intelligent Recommendation System for e-learning Platforms
نویسندگان
چکیده
As more and more digital resources are available, finding the appropriate document becomes harder. Thus, a new kind of tools, able to recommend the more appropriated resources according the user needs, becomes even more necessary. The current project implements an intelligent recommendation system for elearning platforms. The recommendations are based on one hand, the performance of the user during the training process and on the other hand, the requests made by the user in the form of search queries. All information necessary for decision-making process of recommendation will be represented in the user model. This model will be updated throughout the target user interaction with the platform. Key-Words: user modeling; user-adapted systems; recommending systems; e-learning systems; query clustering.
منابع مشابه
Automatic Hashtag Recommendation in Social Networking and Microblogging Platforms Using a Knowledge-Intensive Content-based Approach
In social networking/microblogging environments, #tag is often used for categorizing messages and marking their key points. Also, since some social networks such as twitter apply restrictions on the number of characters in messages, #tags can serve as a useful tool for helping users express their messages. In this paper, a new knowledge-intensive content-based #tag recommendation system is intr...
متن کاملA Federated Recommender System for Online Learning Environments
From e-commerce to social networking sites, recommender systems are gaining more and more interest. They provide connections, news, resources, or products of interest. This paper presents a federated recommender system, which exploits data from different online learning platforms and delivers personalized recommendation. The underlying educational objective is to enable academic institutions to...
متن کاملIntelligent Approach for Attracting Churning Customers in Banking Industry Based on Collaborative Filtering
During the last years, increased competition among banks has caused many developments in banking experiences and technology, while leading to even more churning customers due to their desire of having the best services. Therefore, it is an extremely significant issue for the banks to identify churning customers and attract them to the banking system again. In order to tackle this issue, this pa...
متن کاملPath Recommendation Using Sequential Pattern Mining in Intelligent Tutoring System
Path recommendation plays an important role for learners to obtaining good action in e-learning environment. Without appropriate guiding service, learners might miss some resource and waste time. Therefore, how to provide visitors customized path becomes an important task for learners. To bridge the gap, this research uses sequential pattern mining for intelligent touring system to generate per...
متن کاملAn Intelligent Content Classification Algorithm for Effective E-Learning
In this paper, we propose a new content recommendation system called Intelligent Content Recommendation System for E-Learning for selecting and retrievingthe exact e-content for teaching the subject “Software Engineering” based on group discussions through the social media. In this process, we analyze the various contents pertaining to the subject Software Engineeringand select the suitable eco...
متن کامل