Paper Info
Title
LOCAl: a personalized cache mechanism for location-based social networks.
Abstract
Recommending nearby Points of Interest (POI) has received growing interest in mobile location-based networks today, where users share content embedded with location information. In this work, we propose a novel caching framework to support personalised proactive caching for mobile location-based social networks. We propose \"LOCAI\", which uses a probabilistic approach in order to predict the POIs that users will access and retrieve the appropriate data objects that will fulfill user preferences. Our detailed experimental evaluation, using data from the Foursquare location-based social network, illustrates that LOCAI minimizes the user latency to retrieve the data objects they are interested in, is efficient and practical.
Year
DOI
Venue
2016
10.1145/2996913.2996981
SIGSPATIAL/GIS
Keywords
Field
DocType
Location based social networks, mobile caching
Data mining,World Wide Web,Mobile location,Social network,Computer science,Cache,Latency (engineering),Data objects,Probabilistic logic,Point of interest
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
4
Name
Order
Citations
PageRank
Dimitrios Tomaras132.47
Ioannis Boutsis214612.93
Vana Kalogeraki31686124.40
Dimitrios Gunopulos47171715.85