Please use this identifier to cite or link to this item:
Title: A ubiquitous recommender system based on collaborative filtering and social networking data
Authors: Polatidis, Nikolaos 
Georgiadis, Christos 
Author Department Affiliations: Department of Applied Informatics 
Author School Affiliations: School of Information Sciences 
Keywords: Ubiquitous Computing
Recommender Systems
Quality Factors
User Experience
Collaborative Filtering
Social Media
Context Aware
Issue Date: 15-Jun-2015
Publisher: ACM
Journal: International Journal of Intelligent Engineering Informatics 
ISSN: 1758-8715
Volume: 3
Issue: 2/3
Start page: 186
End page: 204
The use of mobile devices and the rapid growth of the internet and networking infrastructure has brought the necessity of using ubiquitous recommender systems. However, in mobile devices there are different factors that need to be considered in order to get more useful recommendations and increase the quality of the user experience. This paper gives an overview of the factors related to the quality and proposes a new hybrid recommendation model. The proposed model is based on collaborative filtering and social rating network data. Furthermore, it includes an approach to protect user privacy when context parameters are used, by transferring a subset of the users and ratings in the mobile device and applying the algorithm and context parameters locally. In addition, we recommend the use of classical user-based collaborative filtering, enhanced by the trust network, which is a method that performs better in terms of accuracy when compared with user-based collaborative filtering and trust-aware collaborative filtering. Our approach has been experimentally evaluated and is shown that is both practical and effective.
DOI: 10.1504/IJIEI.2015.069895
Rights: Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές
Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές
Corresponding Item Departments: Department of Applied Informatics
Department of Applied Informatics
Appears in Collections:Articles

Files in This Item:
File Description SizeFormat
ijiei_nonames.pdf182,6 kBAdobe PDF
Show full item record

Page view(s)

checked on Jul 25, 2024


checked on Jul 25, 2024

Google ScholarTM




This item is licensed under a Creative Commons License Creative Commons