SurfaceBrainz (talk | contribs) No edit summary |
added in methodology |
||
Line 1: | Line 1: | ||
A '''Content Discovery Platform''' is an implemented [[platform]] for [[consumers]] to search for [[television]] [[Content (media)|content]] [[Internet|online]]<ref>[http://www.v-net.tv/Blog.aspx?id=453 Spotting the Gorilla - the Content Discovery Challenge]</ref> using |
A '''Content Discovery Platform''' is an implemented software [[platform]] for [[consumers]] to search for [[television]] [[Content (media)|content]] [[Internet|online]]<ref>[http://www.v-net.tv/Blog.aspx?id=453 Spotting the Gorilla - the Content Discovery Challenge]</ref> using [[recommender system]] tools such as recommendations or TV [[search engine]]. It can be used to deploy new services or enhance existing systems whilst powering [[Electronic program guide|EPG]]s<ref>[http://www.marketingweek.co.uk/portals-and-publishers-vie-for-online-tv-supremacy/3006207.article Portals and publishers vie for online TV supremacy]</ref>. |
||
A content discovery platform utilizes television and [[video on demand]] in order to discover appropriate content, whilst reducing ongoing maintenance and development costs. A Content Discovery Platform delivers content to [[website]]s, [[mobile device]]s and [[set-top boxes]]. It consists of key individual modules based on a Relevance Engine [[social search]] that suggests appropriate content according to individual preferences. As operators compete to be the gateway to home entertainment, personalized television is a key service differentiator.<ref>[http://www.digitaltveurope.net/news_articles/apr_10/30_apr_10/zenterio_integrates_tv_genius_platform/ Zenterio Integrates TV Genius Platform]</ref> |
A content discovery platform utilizes television and [[video on demand]] meta-data in order to discover appropriate content, whilst reducing ongoing maintenance and development costs. A Content Discovery Platform delivers personalized content to [[website]]s, [[mobile device]]s and [[set-top boxes]]. It consists of key individual modules based on a Relevance Engine [[social search]] that suggests appropriate content according to individual preferences. As operators compete to be the gateway to home entertainment, personalized television is a key service differentiator.<ref>[http://www.digitaltveurope.net/news_articles/apr_10/30_apr_10/zenterio_integrates_tv_genius_platform/ Zenterio Integrates TV Genius Platform]</ref> |
||
== |
==Methodology== |
||
In order to work with television related content, a [[search algorithm]] is used within a Content Discovery Platform to support traditional TV grid views, and also provide search results. [[Personalization]] and recommendation are tools that promote content effectively within a [[Broadcast programming|TV guide]]; these recommendations are either based on a single show, a set of shows, or a full [[user profile]], and can be used to highlight scheduling, or [[video On demand]], and [[pay television]] content within a tv guide. Bespoke analytical analysis can also be undertaken to understand specific requirements relating to user behaviour and activity. |
In order to work with television related content, a [[search algorithm]] is used within a Content Discovery Platform to support traditional TV grid views, and also provide TV search results. [[Personalization]] and recommendation are tools that promote content effectively within a [[Broadcast programming|TV guide]]; these recommendations are either based on a single show, a set of shows, or a full [[user profile]], and can be used to highlight scheduling, or [[video On demand]], and [[pay television]] content within a tv guide. Bespoke analytical analysis can also be undertaken to understand specific requirements relating to user behaviour and activity. |
||
A variety of algorithms can be used: |
|||
* [[Collaborative filtering]] of different users’ behaviour, preferences, and ratings |
|||
* Automatic content analysis and extraction of common patterns |
|||
* Social recommendations based on personal choices from other people<ref>http://www.tvgenius.net/resources/white-papers/an-integrated-approach-to-tv-recommendations/</ref> |
|||
On the television set a Content Discovery Platform can be integrated with the network infrastructure and [[middleware]], but does not sit on the [[Set-top box]]. By integrating with the network, the platform acts as a [[cloud computing]] solution. This means that the solution requires minimal integration, and there are no additional set-top box costs. |
On the television set a Content Discovery Platform can be integrated with the network infrastructure and [[middleware]], but does not sit on the [[Set-top box]]. By integrating with the network, the platform acts as a [[cloud computing]] solution. This means that the solution requires minimal integration, and there are no additional set-top box costs. |
Revision as of 11:19, 29 October 2010
A Content Discovery Platform is an implemented software platform for consumers to search for television content online[1] using recommender system tools such as recommendations or TV search engine. It can be used to deploy new services or enhance existing systems whilst powering EPGs[2].
A content discovery platform utilizes television and video on demand meta-data in order to discover appropriate content, whilst reducing ongoing maintenance and development costs. A Content Discovery Platform delivers personalized content to websites, mobile devices and set-top boxes. It consists of key individual modules based on a Relevance Engine social search that suggests appropriate content according to individual preferences. As operators compete to be the gateway to home entertainment, personalized television is a key service differentiator.[3]
Methodology
In order to work with television related content, a search algorithm is used within a Content Discovery Platform to support traditional TV grid views, and also provide TV search results. Personalization and recommendation are tools that promote content effectively within a TV guide; these recommendations are either based on a single show, a set of shows, or a full user profile, and can be used to highlight scheduling, or video On demand, and pay television content within a tv guide. Bespoke analytical analysis can also be undertaken to understand specific requirements relating to user behaviour and activity.
A variety of algorithms can be used:
- Collaborative filtering of different users’ behaviour, preferences, and ratings
- Automatic content analysis and extraction of common patterns
- Social recommendations based on personal choices from other people[4]
On the television set a Content Discovery Platform can be integrated with the network infrastructure and middleware, but does not sit on the Set-top box. By integrating with the network, the platform acts as a cloud computing solution. This means that the solution requires minimal integration, and there are no additional set-top box costs.
Evolving landscape
As the connected television landscape continues to evolve, search & recommendation are seen as having even more pivotal role in the discovery of content.[5] With broadband connected devices, consumers are projected to have access to content from linear broadcast sources as well as internet television. Therefore there is a risk that the market could become fragmented, leaving it to the viewer to visit various different locations and find what they want to watch in a way that is time-consuming and complicated for them. By using a search and recommendation engine, viewers are provided with a central ‘portal’ from which to discover content from a number of sources in just one location.
UK-based company TV Genius launched its 3 Screen Content Discovery Platform,[6] in 2005 which provides a content search engine, and consumer recommendation tool.
References
- ^ Spotting the Gorilla - the Content Discovery Challenge
- ^ Portals and publishers vie for online TV supremacy
- ^ Zenterio Integrates TV Genius Platform
- ^ http://www.tvgenius.net/resources/white-papers/an-integrated-approach-to-tv-recommendations/
- ^ The New Face of TV
- ^ TV Genius 3 Screen Content Discovery Platform