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'''Jinni''' is a [[search engine]] and [[recommendation engine]] for [[movies]], [[TV shows]] and [[short films]]. The service is powered by the [[Entertainment Genome]], an approach to indexing titles based on attributes like mood, tone, plot, and structure. Its availability is via API, in business-to-business licensing, where it impacts businesses like Comcast's Xfinity product (and others whose capabilities benefit from smart entertainment search).
'''Jinni''' was a website-based [[search engine]] and [[recommendation engine]] for [[movies]], [[TV shows]] and [[short films]]. The service was powered by the Entertainment Genome, an approach to indexing titles based on attributes like mood, tone, plot, and structure. As of 2015, it was no longer available to the public, but is reportedly available via API and business-to-business licensing, where it reportedly impacts businesses like Comcast's Xfinity product, as well as other businesses using "smart" entertainment search.{{citation needed lead|date = May 2022}}


==Description==
==Description==
The Jinni service included [[semantic search]],<ref name="Semantic movie search engine Jinni">{{cite web|url=http://www.pandia.com/sew/1495-jinni.html/ |title=Archived copy |accessdate=2009-03-26 |url-status=dead|archiveurl=https://web.archive.org/web/20090329101542/http://www.pandia.com/sew/1495-jinni.html |archivedate=2009-03-29 |df= }}</ref> a meaning-based approach to interpreting queries by identifying concepts within the content, rather than keywords. The search engine provided a taste-based video discovery experience by mood, plot and other parameters, and included options to browse and refine with additional terms – for example “action in a future dystopia” or “like: Beautiful Girls, funny.”<ref>{{cite web|url=http://mashable.com/2009/03/16/jinni-netflix/|title=Jinni's Semantic Movie Search Now Works With Netflix|first=Stan|last=Schroeder|date=|work=mashable.com|accessdate=26 December 2016}}</ref>
The Jinni service included [[semantic search]],<ref name="Semantic movie search engine Jinni">{{cite web|url=http://www.pandia.com/sew/1495-jinni.html/ |title=» Semantic movie search engine Jinni (Get invites!) |accessdate=2009-03-26 |url-status=dead|archiveurl=https://web.archive.org/web/20090329101542/http://www.pandia.com/sew/1495-jinni.html |archivedate=2009-03-29 }}</ref> a meaning-based approach to interpreting queries by identifying concepts within the content, rather than keywords. The search engine served as a video discovery tool focusing on user tastes, including mood, plot, and other parameters, with options to browse and refine using additional terms, e.g., “action in a future dystopia” or “Beautiful Girls, funny.”<ref>{{cite web|url=http://mashable.com/2009/03/16/jinni-netflix/|title=Jinni's Semantic Movie Search Now Works With Netflix|first=Stan|last=Schroeder|date=16 March 2009|work=mashable.com|accessdate=26 December 2016}}</ref>{{verification needed|date = May 2022}}


Jinni's semantic discovery engine was powered by the Entertainment Genome™, containing thousands of "genes" that are automatically assigned to describe mood, style, plot and setting to every released movie or TV show. These elements were then matched to subscribers' personal tastes according to their viewing history in order to provide a truly personalized discovery experience. Jinni also provided recommendations, according to a given user's favorites and ratings of movies and TV shows.<ref>{{cite web|url=http://mashable.com/2009/02/11/jinni/|title=Jinni's Genius Way to Recommend Movies|first=Adam|last=Ostrow|date=|work=mashable.com|accessdate=26 December 2016}}</ref> The recommendations were based on content and on the user's taste profile.<ref>{{cite web|url=http://lifehacker.com/5152393/jinni-recommendation-service-like-pandora-for-movies|title=Jinni Recommendation Service Like Pandora for Movies|first=Adam|last=Pash|date=|work=lifehacker.com|accessdate=26 December 2016}}</ref>
Jinni's semantic discovery engine was powered by that company's Entertainment Genome™, which reportedly contained thousands of "genes" automatically assigned to describe mood, style, plot and setting for every released movie or television program. These elements were then matched to subscribers' personal tastes according to their viewing history in order to provide a personalized discovery experience. Jinni also provided recommendations, according to a given user's favorites and ratings, of movies and TV shows.<ref>{{cite web|url=http://mashable.com/2009/02/11/jinni/|title=Jinni's Genius Way to Recommend Movies|first=Adam|last=Ostrow|date=11 February 2009|work=mashable.com|accessdate=26 December 2016}}</ref> Stated another way, the recommendations were based on available content and on the user's taste profile.<ref>{{cite web|url=http://lifehacker.com/5152393/jinni-recommendation-service-like-pandora-for-movies|title=Jinni Recommendation Service Like Pandora for Movies|first=Adam|last=Pash|date=13 February 2009|work=lifehacker.com|accessdate=26 December 2016}}</ref>


As well as discovery, the Jinni website included [[Internet television]], the [[streaming media|online streaming]] of film and TV, mostly only available in the US, e.g. via [[Hulu]]. Jinni also linked to other sites that rent or sell [[DVDs]] or offer downloading or streaming for a fee, such as [[Netflix]], [[Amazon.com|Amazon]] and [[Blockbuster Inc.|Blockbuster]].<ref name="Semantic movie search engine Jinni"/>
As well as discovery, the Jinni website included [[internet television]], the [[streaming media|online streaming]] of film and television, mostly for titles available in the United States.{{fact|date = May 2022}} Jinni also linked to other sites that rented or sold [[DVDs]] or offered downloads or streaming for a fee, such as [[Netflix]], [[Amazon.com|Amazon]] and [[Blockbuster Inc.|Blockbuster]].<ref name="Semantic movie search engine Jinni"/>


Jinni's technology involved a [[Taxonomy (general)|taxonomy]] created by film professionals, with new titles indexed via Natural Language Processing and Machine Learning methods to automatically analyze [[reviews]] and [[metadata]].<ref name="ReadWriteWeb">{{cite web|url=http://www.readwriteweb.com/archives/jinni_pandora_for_movies.php |title=Archived copy |accessdate=2009-01-22 |url-status=dead|archiveurl=https://web.archive.org/web/20090204034658/http://www.readwriteweb.com/archives/jinni_pandora_for_movies.php |archivedate=2009-02-04 |df= }}</ref>
Jinni's technology involved a [[Taxonomy (general)|taxonomy]] created by film professionals, with new titles indexed via [[natural language processing]] and [[machine learning]] methods to automatically analyze [[reviews]] and [[metadata]].<ref name="ReadWriteWeb">{{cite web|url=http://www.readwriteweb.com/archives/jinni_pandora_for_movies.php |title=Jinni: Wants to be Pandora for Movies - ReadWriteWeb |accessdate=2009-01-22 |url-status=dead|archiveurl=https://web.archive.org/web/20090204034658/http://www.readwriteweb.com/archives/jinni_pandora_for_movies.php |archivedate=2009-02-04 }}</ref>


Jinni's products included the website and APIs for TV operators and Internet content providers.<ref name="ReadWriteWeb"/> Jinni's partners include SeaChange,<ref>{{cite web|url=http://www.itvt.com/story/5608/seachange-incorporates-jinnis-search-and-recommendation-engine-its-vod-platform|title=SeaChange Incorporates Jinni's Search-and-Recommendation Engine into its VOD Platform|first=|last=tracyswedlow|date=9 September 2009|work=itvt.com|accessdate=26 December 2016}}</ref> NDS,<ref>{{cite web|url=http://newteevee.com/2009/11/03/nds-adds-jinni-for-video-recommendations/|title=NDS Adds Jinni for Video Recommendations|first=Chris|last=Albrecht|date=3 November 2009|work=newteevee.com|accessdate=26 December 2016}}</ref> and OpenTV.<ref>{{cite web|url=http://www.lightreading.com/document.asp?doc_id=180330&site=lr_cable|title=OpenTV, Jinni Team on Search - Light Reading|author=|date=|work=lightreading.com|accessdate=26 December 2016}}</ref>
Jinni's products included the website and [[API]]s for TV operators and internet content providers.<ref name="ReadWriteWeb"/> Jinni's partners included SeaChange,<ref>{{cite web|url=http://www.itvt.com/story/5608/seachange-incorporates-jinnis-search-and-recommendation-engine-its-vod-platform|title=SeaChange Incorporates Jinni's Search-and-Recommendation Engine into its VOD Platform|author=Swedlow, Tracy|date=9 September 2009|work=itvt.com|archive-url=https://web.archive.org/web/20090914112937/http://www.itvt.com/story/5608/seachange-incorporates-jinnis-search-and-recommendation-engine-its-vod-platform |accessdate=26 December 2016|archive-date=2009-09-14 }}</ref> [[NDS Group|NDS]],<ref>{{cite web|url=http://newteevee.com/2009/11/03/nds-adds-jinni-for-video-recommendations/|title=NDS Adds Jinni for Video Recommendations|first=Chris|last=Albrecht|date=3 November 2009|work=newteevee.com|accessdate=26 December 2016|archive-date=22 August 2010|archive-url=https://web.archive.org/web/20100822060601/http://newteevee.com/2009/11/03/nds-adds-jinni-for-video-recommendations/|url-status=dead}}</ref> and [[OpenTV]].<ref>{{cite web|url=http://www.lightreading.com/document.asp?doc_id=180330&site=lr_cable|title=OpenTV, Jinni Team on Search|author=|date=|work=lightreading.com|accessdate=26 December 2016}}</ref>


As of 2015, the business-to-business supply of its tools for use in "target[ing], deliver[ing], and measur[ing]... digital advertising efforts",<ref>[https://www.oracle.com/cx/advertising/adtech/ What is adtech?]{{full|date = May 2022}}</ref>{{full|date = May 2022}} with its entertainment audience-targeting solution addressed to movie studios, TV networks and [[Over-the-top media service|"over-the-top"]] video providers.<ref name = ArchivedJinniShutdown>{{cite web|url=http://www.jinni.com/|archive-url=https://web.archive.org/web/20150628145520/http://www.jinni.com/|url-status=dead|archive-date=28 June 2015|title=Find movies, TV shows matching your taste and watch online - Jinni|author=|date=28 June 2015|accessdate=26 December 2016}}</ref>{{verification needed|date = May 2022}}{{jargon inline|date = May 2022}}
The company recently ended its public service in order to focus solely on the ADTECH space with an entertainment audience targeting solution addressed to movie studios, TV networks and OTT video providers.


==History==
==History==
In March 2009, the Jinni website integrated the [[Netflix]] developer [[API]]. As a consequence, people could search the Netflix catalog, and "Instant Watch" catalog from Jinni, and add to their Netflix queues or begin streaming.<ref>{{cite web|url=http://news.cnet.com/8301-17939_109-10199106-2.html|title=Jinni searches Netflix better than Netflix|author=|date=|work=cnet.com|accessdate=26 December 2016}}</ref> In May 2010, Google announced a strategic alliance with Jinni to allow access to its tools by Google TV.<ref>{{cite web|url=https://techcrunch.com/2010/05/21/jinni-google-tv/|title=Jinni Is Building A Smart 'Taste Engine' For Google TV (Screenshots)|first=Robin|last=Wauters|date=21 May 2010|work=techcrunch.com|accessdate=26 December 2016}}</ref> In May 2011, Jinni announced it having raised US$5 million in Round B funding.<ref>{{cite web|url=https://techcrunch.com/2011/01/05/movie-and-tv-show-recommendation-engine-jinni-raises-5-million/|title=Movie And TV Show Recommendation Engine Jinni Raises $5 Million|first=Alexia|last=Tsotsis|date=5 January 2011|work=techcrunch.com|accessdate=26 December 2016}}</ref>
Jinni was founded in January 2008. Jinni has raised $2.6 million in Round A and seed funding from DFJ Tamir Fishman, Startup Factory and private investors.<ref>{{cite web|url=http://www.crunchbase.com/company/jinni|title=Jinni - crunchbase|author=|date=|work=crunchbase.com|accessdate=26 December 2016}}</ref>


⚫
In June 2012, Belgian cable operator Belgacom deployed a recommendation engine from Jinni on digital set-tops that allowed subscribers to browse for content based on "mood".<ref>{{cite web|url=http://www.fiercecable.com/story/jinni-deploys-mood-based-program-guide-belgacom-set-tops/2012-06-27|title=Jinni deploys mood-based program guide on Belgacom set-tops - FierceCable|author=|date=|work=fiercecable.com|accessdate=26 December 2016}}</ref> In July 2012, Jinni teamed up with Swisscom “for integration into [o]n [d]emand and live TV".<ref>{{cite web|url=http://semanticweb.com/jinni-teams-with-swisscom-for-integration-into-tv_b30647|title=Jinni Teams with Swisscom for Integration into TV|author=|date=12 July 2012|work=semanticweb.com|accessdate=26 December 2016|archive-date=22 August 2014|archive-url=https://web.archive.org/web/20140822141900/http://semanticweb.com/jinni-teams-with-swisscom-for-integration-into-tv_b30647|url-status=dead}}</ref>{{verification needed|date = May 2022}}
In March 2009, the Jinni website integrated with the [[Netflix]] developer [[API]]. In consequence, people can search the Netflix catalog and Instant Watch catalog from Jinni, and add to their Netflix queues or begin streaming.<ref>{{cite web|url=http://news.cnet.com/8301-17939_109-10199106-2.html|title=Jinni searches Netflix better than Netflix|author=|date=|work=cnet.com|accessdate=26 December 2016}}</ref>


⚫
On November 6, 2013, Jinni launched a new customer-facing website and iPad application, providing personal recommendations based on a users "entertainment personality" as well as personalized TV listings, semantic content searches, and social-based group recommendations.<ref>{{cite web|url=http://www.fastcompany.com/3021216/the-video-recommendation-engine-behind-the-xbox-launches-a-standalone-ipad-app|title=The Video Recommendation Engine Behind The Xbox Launches A Standalone iPad App|author=|date=5 November 2013|work=fastcompany.com|accessdate=26 December 2016}}</ref> In May 2014, Jinni integrated its "mood" and "taste"-driven video discovery engine with AT&T’s U-verse TV platform.<ref>{{cite web|url=http://www.multichannel.com/news/technology/att-u-verse-revs-jinni-s-video-discovery-engine/374395|title=AT&T U-Verse Revs Up Jinni's Video Discovery Engine - Multichannel|author=|date=7 May 2014|work=multichannel.com|accessdate=26 December 2016}}</ref>
In May 2010, Google announced a strategic alliance with Jinni for Google TV.<ref>{{cite web|url=https://techcrunch.com/2010/05/21/jinni-google-tv/|title=Jinni Is Building A Smart 'Taste Engine' For Google TV (Screenshots)|first=Robin|last=Wauters|date=|work=techcrunch.com|accessdate=26 December 2016}}</ref>


In June 2015, Jinni shut down its public service and now offers "solutions for pay TV [and] [[Over-the-top media service|OTT]] operators" and "for entertainment advertisers".<ref name = ArchivedJinniShutdown/>
In May 2011, Jinni announced $5 Million Round B Funding.<ref>{{cite web|url=https://techcrunch.com/2011/01/05/movie-and-tv-show-recommendation-engine-jinni-raises-5-million/|title=Movie And TV Show Recommendation Engine Jinni Raises $5 Million|first=Alexia|last=Tsotsis|date=|work=techcrunch.com|accessdate=26 December 2016}}</ref>

⚫
In June 2012, Belgian cable operator Belgacom deployed a recommendation engine from Jinni on digital set-tops that allows subscribers to browse for content based on mood.<ref>{{cite web|url=http://www.fiercecable.com/story/jinni-deploys-mood-based-program-guide-belgacom-set-tops/2012-06-27|title=Jinni deploys mood-based program guide on Belgacom set-tops - FierceCable|author=|date=|work=fiercecable.com|accessdate=26 December 2016}}</ref>

In July 2012, Jinni, the semantic television discovery engine, recently teamed up with Swisscom “for integration into On Demand and live TV.<ref>{{cite web|url=http://semanticweb.com/jinni-teams-with-swisscom-for-integration-into-tv_b30647|title=Jinni Teams with Swisscom for Integration into TV - DATAVERSITY|author=|date=12 July 2012|work=semanticweb.com|accessdate=26 December 2016}}</ref>

⚫
On November 6, 2013, Jinni launched its new customer facing website and iPad application, providing personal recommendations based on a users Entertainment Personality, personalized TV listings, semantic content searches and social based group recommendations.<ref>{{cite web|url=http://www.fastcompany.com/3021216/the-video-recommendation-engine-behind-the-xbox-launches-a-standalone-ipad-app|title=The Video Recommendation Engine Behind The Xbox Launches A Standalone iPad App|author=|date=5 November 2013|work=fastcompany.com|accessdate=26 December 2016}}</ref>

In May of 2014, Jinni integrated its mood and taste-driven video discovery engine with AT&T’s U-verse TV platform.<ref>{{cite web|url=http://www.multichannel.com/news/technology/att-u-verse-revs-jinni-s-video-discovery-engine/374395|title=AT&T U-Verse Revs Up Jinni’s Video Discovery Engine - Multichannel|author=|date=|work=multichannel.com|accessdate=26 December 2016}}</ref>

In June 2015, Jinni shut down its public service and now offers "solutions for pay TV & OTT operators" and "for entertainment advertisers".<ref>{{cite web|url=http://www.jinni.com/|archive-url=https://web.archive.org/web/20150628145520/http://www.jinni.com/|url-status=dead|archive-date=28 June 2015|title=Find movies, TV shows matching your taste and watch online - Jinni|author=|date=28 June 2015|accessdate=26 December 2016}}</ref><ref>{{cite web|url=http://www.jinni.com/|title=Jinni Entertainment Discovery & Targeted Ads|author=|date=|work=jinni.com|accessdate=26 December 2016}}</ref>


==References==
==References==
Line 67: Line 61:
==External links==
==External links==
*{{Official website|http://www.jinni.com}}
*{{Official website|http://www.jinni.com}}

==Further reading==
*[http://news.cnet.com/8301-17939_109-10200031-2.html Top 10 Movie Recommendation Engines - CNET]
*[http://news.cnet.com/8301-17939_109-10200031-2.html Top 10 Movie Recommendation Engines - CNET]
*[http://www.herringevents.com/europe09/redherring100.html Red Herring Europe 100 Winners 2009]
*[http://www.herringevents.com/europe09/redherring100.html Red Herring Europe 100 Winners 2009] {{Webarchive|url=https://web.archive.org/web/20090719200729/http://www.herringevents.com/europe09/redherring100.html |date=2009-07-19 }}
*[https://web.archive.org/web/20090410005949/http://sxsw.com/interactive/web_awards/finalists SXSW Web Awards Finalists 2009]
*[https://web.archive.org/web/20090410005949/http://sxsw.com/interactive/web_awards/finalists SXSW Web Awards Finalists 2009]
*[http://plugg.eu/media/blog/p/detail/these-are-the-20-finalists-for-pluggs-start-ups-rally Plugg Rally Winners 2009]
*[https://web.archive.org/web/20090416011757/http://www.plugg.eu/media/blog/p/detail/these-are-the-20-finalists-for-pluggs-start-ups-rally Plugg Rally Winners 2009]
*[http://www.multichannel.com/news/cable-operators/jinnis-movie-mood-engine-impresses-cablelabs-winter-conference/328907 CableLabs Best Product Idea Winner 2010]
*[http://www.multichannel.com/news/cable-operators/jinnis-movie-mood-engine-impresses-cablelabs-winter-conference/328907 CableLabs Best Product Idea Winner 2010]
*[https://web.archive.org/web/20100610134758/http://www.webbyawards.com/webbys/current_honorees.php?season=14 Webby Honorees 2010]
*[https://web.archive.org/web/20100610134758/http://www.webbyawards.com/webbys/current_honorees.php?season=14 Webby Honorees 2010]

Latest revision as of 02:27, 10 November 2024

Jinni
Company typeMedia & Entertainment
FoundedJanuary 2008
Headquarters
Tel Aviv Edit this on Wikidata
,
Israel Edit this on Wikidata
ProductsDiscovery service for movies, TV shows, other media
WebsiteJinni.com

Jinni was a website-based search engine and recommendation engine for movies, TV shows and short films. The service was powered by the Entertainment Genome, an approach to indexing titles based on attributes like mood, tone, plot, and structure. As of 2015, it was no longer available to the public, but is reportedly available via API and business-to-business licensing, where it reportedly impacts businesses like Comcast's Xfinity product, as well as other businesses using "smart" entertainment search.[not verified in body]

Description

[edit]

The Jinni service included semantic search,[1] a meaning-based approach to interpreting queries by identifying concepts within the content, rather than keywords. The search engine served as a video discovery tool focusing on user tastes, including mood, plot, and other parameters, with options to browse and refine using additional terms, e.g., “action in a future dystopia” or “Beautiful Girls, funny.”[2][verification needed]

Jinni's semantic discovery engine was powered by that company's Entertainment Genome™, which reportedly contained thousands of "genes" automatically assigned to describe mood, style, plot and setting for every released movie or television program. These elements were then matched to subscribers' personal tastes according to their viewing history in order to provide a personalized discovery experience. Jinni also provided recommendations, according to a given user's favorites and ratings, of movies and TV shows.[3] Stated another way, the recommendations were based on available content and on the user's taste profile.[4]

As well as discovery, the Jinni website included internet television, the online streaming of film and television, mostly for titles available in the United States.[citation needed] Jinni also linked to other sites that rented or sold DVDs or offered downloads or streaming for a fee, such as Netflix, Amazon and Blockbuster.[1]

Jinni's technology involved a taxonomy created by film professionals, with new titles indexed via natural language processing and machine learning methods to automatically analyze reviews and metadata.[5]

Jinni's products included the website and APIs for TV operators and internet content providers.[5] Jinni's partners included SeaChange,[6] NDS,[7] and OpenTV.[8]

As of 2015, the business-to-business supply of its tools for use in "target[ing], deliver[ing], and measur[ing]... digital advertising efforts",[9][full citation needed] with its entertainment audience-targeting solution addressed to movie studios, TV networks and "over-the-top" video providers.[10][verification needed][jargon]

History

[edit]

In March 2009, the Jinni website integrated the Netflix developer API. As a consequence, people could search the Netflix catalog, and "Instant Watch" catalog from Jinni, and add to their Netflix queues or begin streaming.[11] In May 2010, Google announced a strategic alliance with Jinni to allow access to its tools by Google TV.[12] In May 2011, Jinni announced it having raised US$5 million in Round B funding.[13]

In June 2012, Belgian cable operator Belgacom deployed a recommendation engine from Jinni on digital set-tops that allowed subscribers to browse for content based on "mood".[14] In July 2012, Jinni teamed up with Swisscom “for integration into [o]n [d]emand and live TV".[15][verification needed]

On November 6, 2013, Jinni launched a new customer-facing website and iPad application, providing personal recommendations based on a users "entertainment personality" as well as personalized TV listings, semantic content searches, and social-based group recommendations.[16] In May 2014, Jinni integrated its "mood" and "taste"-driven video discovery engine with AT&T’s U-verse TV platform.[17]

In June 2015, Jinni shut down its public service and now offers "solutions for pay TV [and] OTT operators" and "for entertainment advertisers".[10]

References

[edit]
  1. ^ a b "» Semantic movie search engine Jinni (Get invites!)". Archived from the original on 2009-03-29. Retrieved 2009-03-26.
  2. ^ Schroeder, Stan (16 March 2009). "Jinni's Semantic Movie Search Now Works With Netflix". mashable.com. Retrieved 26 December 2016.
  3. ^ Ostrow, Adam (11 February 2009). "Jinni's Genius Way to Recommend Movies". mashable.com. Retrieved 26 December 2016.
  4. ^ Pash, Adam (13 February 2009). "Jinni Recommendation Service Like Pandora for Movies". lifehacker.com. Retrieved 26 December 2016.
  5. ^ a b "Jinni: Wants to be Pandora for Movies - ReadWriteWeb". Archived from the original on 2009-02-04. Retrieved 2009-01-22.
  6. ^ Swedlow, Tracy (9 September 2009). "SeaChange Incorporates Jinni's Search-and-Recommendation Engine into its VOD Platform". itvt.com. Archived from the original on 2009-09-14. Retrieved 26 December 2016.
  7. ^ Albrecht, Chris (3 November 2009). "NDS Adds Jinni for Video Recommendations". newteevee.com. Archived from the original on 22 August 2010. Retrieved 26 December 2016.
  8. ^ "OpenTV, Jinni Team on Search". lightreading.com. Retrieved 26 December 2016.
  9. ^ What is adtech?[full citation needed]
  10. ^ a b "Find movies, TV shows matching your taste and watch online - Jinni". 28 June 2015. Archived from the original on 28 June 2015. Retrieved 26 December 2016.
  11. ^ "Jinni searches Netflix better than Netflix". cnet.com. Retrieved 26 December 2016.
  12. ^ Wauters, Robin (21 May 2010). "Jinni Is Building A Smart 'Taste Engine' For Google TV (Screenshots)". techcrunch.com. Retrieved 26 December 2016.
  13. ^ Tsotsis, Alexia (5 January 2011). "Movie And TV Show Recommendation Engine Jinni Raises $5 Million". techcrunch.com. Retrieved 26 December 2016.
  14. ^ "Jinni deploys mood-based program guide on Belgacom set-tops - FierceCable". fiercecable.com. Retrieved 26 December 2016.
  15. ^ "Jinni Teams with Swisscom for Integration into TV". semanticweb.com. 12 July 2012. Archived from the original on 22 August 2014. Retrieved 26 December 2016.
  16. ^ "The Video Recommendation Engine Behind The Xbox Launches A Standalone iPad App". fastcompany.com. 5 November 2013. Retrieved 26 December 2016.
  17. ^ "AT&T U-Verse Revs Up Jinni's Video Discovery Engine - Multichannel". multichannel.com. 7 May 2014. Retrieved 26 December 2016.
[edit]

Further reading

[edit]
Retrieved from "https://en.wikipedia.org/enwiki/w/index.php?title=Jinni_(search_engine)&oldid=1256472086"