Paper Info
Title
Distributed User Modeling for Personalized News Delivery in Mobile Devices.
Abstract
This paper presents a distributed client-server architec- ture for the personalized delivery of textual news content to mobile users. The user profile is distributed across client and server, enabling a high-level filtering of available con- tent on the server, followed by matching of detailed user preferences on the handset. The high-level user preferences are stored in a skeleton profile on the server, and the low- level preferences in a detailed user profile on the handset. A learning process for the detailed user profile is employed on the handset exploiting the implicit and explicit user feed- back. The system's learning performance has been evalu- ated based on data collected from regular system users.
Year
DOI
Venue
2007
10.1109/SMAP.2007.17
SMAP
Keywords
DocType
ISBN
mobile devices,skeleton profile,user modeling,mobile user,available con,explicit user feed,detailed user preference,high-level user preference,regular system user,user profile,personalized news delivery,detailed user profile,client-server architec,mobile device,learning artificial intelligence,mobile computing,data collection,user model,client server architecture
Conference
0-7695-3040-0
Citations 
PageRank 
References 
2
0.46
12
Authors
7
Name
Order
Citations
PageRank
Maria Papadogiorgaki1292.63
Vasileios Papastathis290.94
Evangelia Nidelkou3162.11
Yiannis Kompatsiaris494786.09
Simon Waddington5264.96
Ben Bratu6343.70
Myriam Ribiere730.87