2013
McKenzie, Grant; Adams, Benjamin; Janowicz, Krzysztof
A thematic approach to user similarity built on geosocial check-ins Conference
The 16th AGILE Conference on Geographic Information Science, Springer Springer, Leuven, Belgium, 2013.
@conference{14b,
title = {A thematic approach to user similarity built on geosocial check-ins},
author = {Grant McKenzie and Benjamin Adams and Krzysztof Janowicz},
url = {http://grantmckenzie.com/academics/McKenzie_AGILE2013.pdf},
year = {2013},
date = {2013-01-01},
booktitle = {The 16th AGILE Conference on Geographic Information Science},
pages = {39–53},
publisher = {Springer},
address = {Leuven, Belgium},
organization = {Springer},
abstract = {Computing user similarity is key for personalized locationbased recommender systems and geographic information retrieval. So far, most existing work has focused on structured or semi-structured data to establish such measures. In this work, we propose topic modeling to exploit sparse, unstructured data, e.g., tips and reviews, as an additional feature to compute user similarity. Our model employs diagnosticity weighting based on the entropy of topics in order to assess the role of commonalities and variabilities between similar users. Finally, we offer a validation technique and results using data from the locationbased social network Foursquare.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Computing user similarity is key for personalized locationbased recommender systems and geographic information retrieval. So far, most existing work has focused on structured or semi-structured data to establish such measures. In this work, we propose topic modeling to exploit sparse, unstructured data, e.g., tips and reviews, as an additional feature to compute user similarity. Our model employs diagnosticity weighting based on the entropy of topics in order to assess the role of commonalities and variabilities between similar users. Finally, we offer a validation technique and results using data from the locationbased social network Foursquare.