Title
BROAD-RSI - educational recommender system using social networks interactions and linked data.
Abstract
There are several educational resources distributed in different repositories that address to a wide range of subjects and different educational goals. The proper choice of these educational resources is a challenge. Recommendation systems may help users in this task. In order to generate personalized recommendations, it is important to identify information that will help to define user profile and assist in identifying his/her interests. The constant and ever-increasing use of social networks allows the identification of different information about profile, interests, preferences, style and behavior from the spontaneous interaction. This paper presents an infrastructure able to extract users’ profile and educational context, from the Facebook social network and recommend educational resources. The proposal is supported by Information Extraction Techniques and Semantic Web technologies for extraction, enrichment and definition of user’s profile and interests. The recommendation approach is based on learning objects repositories, linked data and video repositories. It takes advantage of user’s spent time at the web. The proposal evaluation was made from the development of a prototype, three proofs of concept and a case study. The evaluation showed users’ acceptance of extracted information about their educational interests, automatically generated from social network and enriched to find implicit interests. It was also validated the possibility of people recommendation, enabling the establishment of interest network, based on a specific subject, showing good partners to study and research.
Year
DOI
Venue
2018
10.1186/s13174-018-0076-5
J. Internet Services and Applications
Keywords
Field
DocType
Educational recommender system,Social network,Linked data
Recommender system,World Wide Web,User profile,Social network,Computer science,Semantic Web,Linked data,Mathematical proof,Information extraction,Computer Applications,Distributed computing
Journal
Volume
Issue
ISSN
9
1
1867-4828
Citations 
PageRank 
References 
1
0.35
24
Authors
5
Name
Order
Citations
PageRank
Crystiam Kelle Pereira120.71
Fernanda Campos27222.35
Victor StröEle32911.27
José Maria N. David43517.83
Regina M. M. Braga59425.25