OTT viewing has boomed during this crazy year and as a result, content discovery and recommendation has never been more important. How are audiences finding TV shows and movies to watch? How do they access hidden gems or titles they might have missed? How are they made aware of both fresh releases and newly-available long tail content? And how do they assess the value of their SVOD and pay-TV subscriptions? We asked these questions to a panel of content recommendation vendors at this week’s OTT Question Time (Thursday 5 November).
Together with Peter Docherty of ThinkAnalytics, Chris Ambrozic of TiVo, Arash Pendari of Vionlabs and Gabriel Mandelbaum of Spideo, we discussed:
- Whether content recommendation has reached a tipping point?
- The main content recommendation methodologies (e.g. content based filtering, collaborative filtering etc.)
- The business case for content recommendation (i.e. why should service-providers buy content recommendation solutions)
- Algorithmic vs. human content recommendation
- And consumer attitudes to content recommendation
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ABOUT KAUSER KANJI
Kauser Kanji has been working in online video for 19 years, formerly at Virgin Media, ITN and NBC Universal, and founded VOD Professional in 2011. He has since completed major OTT projects for, amongst others, A+E Networks, the BBC, BBC Studios, Channel 4, DR (Denmark), Liberty Global, Netflix, Sony Pictures, the Swiss Broadcasting Corporation and UKTV. He now writes industry analyses, hosts an online debate show, OTT Question Time, as well as its in-person sister event, OTT Question Time Live.