Transcript Application of Data Mining in TV and Films
Application of Data Mining in TV and Films
Daniel Johnston and Nabeel Hanif
Aim
● To look at the use of data mining within the Television and Film industry.
● To examine how DM is able to improve the Tv/Film industry for both viewers and companies
Who uses Data Mining?
A Variety of companies linked to the film industry: ● IMDB – vast database available on movies ● Amazon – use their user DB to recommend films ● Netflix – commissioned a show called house of cards.
Using algorithms to predict success
Using algorithms to predict success
● Netflix relied on Data Mining when commissioning 2 series' of the show 'House of Cards' at a cost of $100m (10% of revenue), without even viewing a pilot episode.
● By parsing subscriber data, Netflix were able to see how popular the show would likely be.
● This data indicated that people who enjoyed the original BBC miniseries of House of Cards, also liked movies starring Kevin Spacey and David Fincher.
Did it work?
● Yes.
● Compared to a $1.9m loss in 2012, Netflix posted a $31.8m profit this year.
● Gained 2 million new US subscribers.
● Netflix does not release viewing figures for original content, but acknowledged House of Cards had provided a 'Halo effect' on their entire service.
How else is Data Mining used?
● In the analysis of scripts to select “successful” proposals.
● Predicting success via analysis of web searches relating to the film.
● Calculating whether cinema attendance has an effect on DVD sales.
● Preventing spoilers.
Spoiler prevention
● A computer science PhD student and his supervisor created a data mining algorithm that identified spoilers by using linguistic cues.
● By linking combinations of words relevant to a films plot, he was able to avoid spoilers in film reviews that may not have been tagged by the website IMDB.
Conclusion
● Data mining benefits customers by improving the service provided to them, in the form of better Film and TV.
● Benefits companies in the form of greater profits if implemented correctly.
● Although data mining has led to improvements, the entertainment industry is still very much a creative business – meaning data analysis can only go so far.
Any Questions?
Thanks for listening!
● ● ● ● ● References https://www.student.gsu.edu/~mkaul1/DMMidtermPaper.htm
http://filmmakermagazine.com/64544-house-of-cards-the-netflix-algorithms-and-me/ http://www.kdd.org/sites/default/files/issues/14-2-2012-12/V14-02-05-Amatriain.pdf
http://www.nytimes.com/2013/02/25/business/media/for-house-of-cards-using-big-data-to guarantee-its-popularity.html?_r=0 http://www.fastcodesign.com/1671893/the-secret-sauce-behind-netflixs-hit-house-of-cards big-data