Paper Info
Title
Privacy & Usability of IPTV Recommender Systems
Abstract
IPTV is capable of providing recommendations for upcoming TV programs based on consumer feedback. With the increasing popularity and performance of recommender systems, risks of user privacy breach emerge. Although several works about privacy-preserving designs of recommender systems exist in the literature, a detailed analysis of the current state-of-the-art regarding privacy as well as an investigation of the usability aspects of such systems, so far, have not received consideration. In this paper, we survey current approaches for recommender systems by studying their privacy and usability properties in the context of IPTV.
Year
DOI
Venue
2019
10.1109/ICCE.2019.8662046
2019 IEEE International Conference on Consumer Electronics (ICCE)
Field
DocType
ISSN
Recommender system,World Wide Web,Computer science,Popularity,Usability,Electronic engineering,IPTV,User privacy
Conference
2158-3994
ISBN
Citations 
PageRank 
978-1-5386-7910-4
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Tolga Arul1229.60
Nikolaos Anagnostopoulos2229.61
Stefan Katzenbeisser31844143.68