Abstract:
This paper presents PALBS, a preferenceaware
location-based services system. PALBS
provides scalable personalized location-based
services to users based on their preferences.
Unlike existing location-based service systems
that answer queries based solely on proximity in
distance, PALBS considers user preferences in
determining the answer to location-based
queries. To this end, PALBS does not aim to
define new location-based queries; instead, it
aims to redefine the answer of existing locationbased
queries. In this system, user requests the
available service via mobile devices and the
system return the optimal answers related to user
preferences. Within the framework of PALBS,
based on simple tree matching, a tree matching
method is proposed by analyzing the structure
and content of query tree to efficient match and
extract user preferences query. And also, the
proposed system use a label order rooted tree
data structure to efficiently match user
preference query based on the user preferences.