DocumentCode :
3673568
Title :
Using a Rich Context Model for People-to-People Recommendation
Author :
Alisa Sotsenko;Marc Jansen;Marcelo Milrad
Author_Institution :
Dept. of Media Technol., Linnaeus Univ., Vaxjo, Sweden
fYear :
2015
Firstpage :
703
Lastpage :
708
Abstract :
In this paper we present an approach for People-to-People recommendations based on a Rich Context Model (RCM). We consider personal user information as contextual information used for our recommendations. The evaluation of our recommendation approach was performed on a social network of students. The obtained results do show a significant increase in performance while, at the same time, a slight increase in quality in comparison to a manual matching process. The proposed approach is flexible enough to handle different data types of contextual information and easy adaptable to other recommendation domains.
Keywords :
"Context","Social network services","Measurement","Collaboration","Context modeling","Filtering","Manuals"
Publisher :
ieee
Conference_Titel :
Future Internet of Things and Cloud (FiCloud), 2015 3rd International Conference on
Type :
conf
DOI :
10.1109/FiCloud.2015.68
Filename :
7300891
Link To Document :
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