Paper Info
Title
MoCA+: incorporating user modeling into mobile contextual advertising: demo.
Abstract
In-app advertising has become a significant source of revenue for mobile apps. Mobile contextual advertising is one of the recent approaches to improve the effectiveness of in-app advertising, which seeks to target an app page content that a user is viewing. Typically, mobile contextual advertising is based on the cloud-based architecture, which may cause many privacy concerns, because in-device user data inevitably sends to ad servers. In our previous work [3], we developed a novel mobile contextual advertising platform, called MoCA, which was designed to improve the relevance of in-app ads in a privacy protecting manner. However, MoCA does not explicitly model user interests.
Year
DOI
Venue
2017
10.1145/3155016.3155022
Middleware '17: 18th International Middleware Conference Las Vegas Nevada December, 2017
Field
DocType
ISBN
Revenue,World Wide Web,Contextual advertising,Architecture,Computer science,Server,Blockchain,User modeling,Mobile apps,Cloud computing
Conference
978-1-4503-5201-7
Citations 
PageRank 
References 
0
0.34
3
Authors
5
Name
Order
Citations
PageRank
So-Jung Park100.68
Jung-Hyun Lee218823.59
So-Young Jun300.68
Kangmin Kim4138.69
Sangkeun Lee5145.09