Title
User modeling for telecommunication applications: experiences and practical implications
Abstract
Telecommunication applications based on user modeling focus on extracting customer behavior and preferences from the information implicitly included in Call Detail Record (CDR) datasets Even though there are many different application areas (fraud detection, viral and targeted marketing, churn prediction, etc.) they all share a common data source (CDRs) and a common set of features for modeling the user In this paper we present our experience with different applications areas in generating user models from massive real datasets of both mobile phone and landline subscriber activity We present the analysis of a dataset containing the traces of 50,000 mobile phone users and 50,000 landline users from the same geographical area for a period of six months and compare the different behaviors when using landlines and mobile phones and the implications that such differences have for each application Our results indicate that user models for a variety of applications can be generated efficiently and in a homogeneous way using an architecture based on distributed computing and that there are numerous differences between mobile phone and landline users that have relevant practical implications.
Year
DOI
Venue
2010
10.1007/978-3-642-13470-8_30
UMAP
Keywords
Field
DocType
telecommunication application,landline subscriber activity,different behavior,user modeling focus,landline user,practical implication,mobile phone,common data source,different application area,mobile phone user,different applications area,user model,distributed computing,customer behavior
Data source,Architecture,Telecommunications,Homogeneous,Computer science,Consumer behaviour,Targeted marketing,Human–computer interaction,User modeling,Mobile phone,Landline
Conference
Volume
ISSN
ISBN
6075
0302-9743
3-642-13469-6
Citations 
PageRank 
References 
10
0.68
14
Authors
3
Name
Order
Citations
PageRank
Heath Hohwald11156.75
Enrique Frías-Martínez221417.71
Nuria Oliver34368357.22