| Title | Privacy Usability of IPTV Recommender Systems |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Arul, Tolga, Anagnostopoulos, Nikolaos Athanasios, Katzenbeisser, Stefan |
| Conference Name | 2019 IEEE International Conference on Consumer Electronics (ICCE) |
| Keywords | cryptography, data privacy, human factors, IPTV, IPTV recommender systems, privacy, privacy-preserving designs, pubcrawl, recommender systems, Resiliency, Scalability, TV programs, usability, usability properties, user privacy breach |
| 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. |
| DOI | 10.1109/ICCE.2019.8662046 |
| Citation Key | arul_privacy_2019 |
Privacy Usability of IPTV Recommender Systems