PARIS--(BUSINESS WIRE)--Spideo, the semantic-based content recommendation and analytics platform, today published a white paper which explains the different video recommendation engine platforms and explores how semantically enhanced smart data, combined with analytics, can provide powerful business marketing tools of critical importance to every video distributor. Titled “How Smart is your Data? The new differentiator for video operators”, the white paper unveils the complexity and outlines the value of different recommendation engines and is available to download from Spideo’s website.
The white paper explores several areas in which semantically enhanced smart data opens up new business opportunities and demonstrates the direct impact recommendation engines have on user experiences. The paper also establishes an industry standard for measuring the performance of these recommendations:
- Transformation rate – the ratio between content watched after a recommendation and the total number of watched content
- Engagement rate – the measurement of the impact of recommendation not just in terms of overall viewings but also on wider interactions such as clicks on trailers and ratings
- Exposure rate – the ratio between the number of titles watched by users and the number of titles available in a catalog
- Conversion rate – the measurement of how recommendations drive users from a free content watching behavior to a paying content watching behavior
Transformation, Engagement, Exposure and Conversion indicators, or TEEC, offer a comprehensive approach to understanding the many business challenges facing video operators.
Thibault d’Orso, Spideo co-founder and COO, said: “When it comes to business intelligence, many experts talk about big data as if quality or performance were essentially a matter of quantity. This is not true. Intelligence does not accidentally come out of large volumes of data. Only smart data makes a big difference. We want to help educate the industry on some of the factors that should be taken into account when designing search and recommendation platforms to help the industry evolve as consumers continue to consume more and more content through VOD services.”
Spideo is a content recommendations and analytics platform that uses semantic-based technologies to deliver personalized viewing suggestions based on natural language for users, and customer insight platforms for digital TV operators.
Spideo’s customers include Canal+, M-Go, Bouygues Telecom and Arte.
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For more information, see www.spideo.tv