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  2. Netflix Prize - Wikipedia

    en.wikipedia.org/wiki/Netflix_Prize

    The Netflix Prize was an open competition for the best collaborative filtering algorithm to predict user ratings for films, based on previous ratings without any other information about the users or films, i.e. without the users being identified except by numbers assigned for the contest.

  3. Gravity R&D - Wikipedia

    en.wikipedia.org/wiki/Gravity_R&D

    The Netflix Prize was an open competition for the best collaborative filtering algorithm to predict user ratings for films, based on previous ratings. The prize would be awarded to the team achieving over 10% improvement over Netflix's own Cinematch algorithm. The team "Gravity" was the front runner during January—May 2007. [2]

  4. Recommender system - Wikipedia

    en.wikipedia.org/wiki/Recommender_system

    From 2006 to 2009, Netflix sponsored a competition, offering a grand prize of $1,000,000 to the team that could take an offered dataset of over 100 million movie ratings and return recommendations that were 10% more accurate than those offered by the company's existing recommender system.

  5. Cold start (recommender systems) - Wikipedia

    en.wikipedia.org/wiki/Cold_start_(recommender...

    The cold start problem is a well known and well researched problem for recommender systems.Recommender systems form a specific type of information filtering (IF) technique that attempts to present information items (e-commerce, films, music, books, news, images, web pages) that are likely of interest to the user.

  6. Category:Netflix templates - Wikipedia

    en.wikipedia.org/wiki/Category:Netflix_templates

    [[Category:Netflix templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Netflix templates]]</noinclude> to the end of the template code, making sure it starts on the same line as the code's last character.

  7. Category:Data templates - Wikipedia

    en.wikipedia.org/wiki/Category:Data_templates

    Please sort the templates by country, and use a second sortkey for data templates of entities within the country, or of a subtopic about the country. Templates below with a name starting with "Data " are members of a family of templates, see any of these templates. See also: Category:Data retrieval templates; Wikipedia:WikiProject Tabular Data

  8. Template:Netflix original animated series and films - Wikipedia

    en.wikipedia.org/wiki/Template:Netflix_original...

    To change this template's initial visibility, the |state= parameter may be used: {{Netflix original animated series and films | state = collapsed}} will show the template collapsed, i.e. hidden apart from its title bar. {{Netflix original animated series and films | state = expanded}} will show the template expanded, i.e. fully visible.

  9. Template:Netflix title - Wikipedia

    en.wikipedia.org/wiki/Template:Netflix_title

    This is a template to generate links to Netflix. Template parameters [Edit template data] Parameter Description Type Status Title number id 1 Number of the Netflix title, taken from the numbers at the end of its Netflix URL. Default Wikidata property P1874 Number optional Title name title 2 Name of the production, which may include the year made (in parentheses). Default {{PAGENAMEBASE ...