Tackling Multi-member Problem in IPTV Recommendation with Virtual Users

DOI

10.2991/nceece-15.2016.217How to use a DOI?

Keywords

IPTV; recommendation; multi-member; virtual users; content-based recommendation; collaborative filtering

Abstract

With the popularity of the Internet, Internet Protocol Television (IPTV) has been replacing traditional TV and recommendation systems can help IPTV users to choose programs that may interest them. Compared with other recommendations (e.g., movies), IPTV recommendation suffers from a multi-member problem — more than one family members in a household share TV. Because family members can have different tastes, this problem makes recommendations less accurate for IPTV.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Peng Zhou
PY  - 2015/12
DA  - 2015/12
TI  - Tackling Multi-member Problem in IPTV Recommendation with Virtual Users
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 1224
EP  - 1231
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.217
DO  - 10.2991/nceece-15.2016.217
ID  - Zhou2015/12
ER  -