DUBLIN, Ireland, August 13, 2013 /PRNewswire/ --
Research and Markets (http://www.researchandmarkets.com/research/k2h7d3/recommendation) has announced the addition of the "Recommendation Engines Usher in the Personalized TV Experience" report to their offering.
Content Discovery Required for the More than 30 Billion Items To Be Viewed in the US this Year
TV program guides have evolved from the basic TV guides to interactive program guides (IPGs) with TV program schedules, expanded metadata, VOD recommendations and banner ads. The next evolutionary step is to the personal program guide (PPG) that delivers personalized TV schedules and VOD recommendations, multiscreen access and TV control, as well as personalized advertisements. Today's recommendation systems already offer the technology needed to support personal program guides.
MRG believes that the growth of TV multi-taskers, defined as people who are using a second screen device to view or control content related to what they are watching on the big screen (TV), will be the primary users of personal program guides, and will spur continued use and development of recommendation engines. Research data confirms that there are approximately 36 million mobile device owners (14% of US 13+ adults) that use their smartphones and/or tablets in association with TV programs they are currently watching. This TV multi-tasking behavior is expected to grow to 114 million (54% of 13+ adults) users in the US by 2017.
Consumers will also be using their mobile devices for first-screen viewing of video. While 55% of smartphone owners do not currently view video on smartphones, mobile video viewing in the US is expected to grow from 77 million users in 2012 to 129 million users in 2017.
MRG's latest report, Recommendation Engines Usher in the Personalized TV Experience sheds light on how recommendation engines perform their magic. They are by no means all the same. Primary research data documents current viewer behavior and future preferences regarding video content discovery. The report outlines how recommendation systems will help evolve from today's integrated program guides (IPGs) to the personalized, intelligent personal program guides (PPGs) of tomorrow.
For more information visit http://www.researchandmarkets.com/research/k2h7d3/recommendation
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