Paper Info
Title
Context-aware filtering for collaborative web systems: adapting the awareness information to the user's context
Abstract
We propose a context-based filtering process which aims at adapting the awareness information delivered to mobile users by collaborative web systems. This filtering process relies on a model of context which integrates both a physical and an organizational dimensions and allows to represent the user's current context as well as general profiles. These profiles are descriptions of user's potential contexts and express the awareness information filtering rules to apply when the user's current context matches one of them. These rules reflect the user's preferences given a context. We describe how the filtering process performs in two steps, one for identifying the general profiles that apply, and a second for selecting the awareness information. We also discuss the patterns matching algorithms used in the filtering process to compare the contexts descriptions.
Year
DOI
Venue
2005
10.1145/1066677.1067055
SAC
Keywords
Field
DocType
awareness information,collaborative web system,potential context,mobile user,contexts description,general profile,organizational dimension,current context,pattern matching
Recommender system,Web system,World Wide Web,Collaborative filtering,Information retrieval,Computer science,Filter (signal processing),Context model,Filtering rules,User modeling,Information filtering system
Conference
ISBN
Citations 
PageRank 
1-58113-964-0
19
1.10
References 
Authors
14
4
Name
Order
Citations
PageRank
Manuele Kirsch-Pinheiro117419.28
Marlène Villanova-oliver221130.47
Jérôme Gensel338050.95
Hervé Martin420422.03