TY - GEN
T1 - Social Approach for Context Analysis
T2 - International and Interdisciplinary Conference on Modeling and Using Context
AU - Rivero-Rodriguez, Alejandro
AU - Pileggi, Paolo Pietro
AU - Nykänen, Ossi Antero
PY - 2015
Y1 - 2015
N2 - Understanding the user’s context is important for mobile applications to provide personalized services. Such context is typically based on the user’s own information. In this paper, we show how social network analysis and the study of the individual in a social network can provide meaningful contextual information. According to the phenomenon of homophily, similar users tend to be connected more frequently than dissimilar. We model homophily in social networks over time. Such models strengthen context inference algorithms, which helps determine future status of the user, resulting in prediction accuracy improvements of up to 118% with respect to a naïve classifier.
AB - Understanding the user’s context is important for mobile applications to provide personalized services. Such context is typically based on the user’s own information. In this paper, we show how social network analysis and the study of the individual in a social network can provide meaningful contextual information. According to the phenomenon of homophily, similar users tend to be connected more frequently than dissimilar. We model homophily in social networks over time. Such models strengthen context inference algorithms, which helps determine future status of the user, resulting in prediction accuracy improvements of up to 118% with respect to a naïve classifier.
KW - Social network analysis
KW - Homophily
KW - Context Inference
UR - http://www.springer.com/us/book/9783319255903
U2 - 10.1007/978-3-319-25591-0
DO - 10.1007/978-3-319-25591-0
M3 - Conference contribution
SN - 978-3-319-25590-3
T3 - Lecture Notes in Artificial Intelligence
SP - 513
EP - 519
BT - Modeling and Using Context
PB - Springer International Publishing
Y2 - 1 January 1900
ER -