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IPTV program recommendation based on combination strategies
2018
MATEC Web of Conferences
As a new interactive service technology, IPTV has been extensively studying in the field of TV pro-gram recommendation, but the sparse of the user-program rating matrix and the cold-start problem is a bottleneck that the program recommended accurately. In this paper, a flexible combination of two recommendation strategies proposed, which explored the sparse and cold-start problem as well as the issue of user interest change over time. This paper achieved content-based filtering section and
doi:10.1051/matecconf/201816901003
fatcat:z66cy2cujnd5nkdo5l2zt3rreq