What do movie ratings mean, and who applies them? How does a movie clapperboard work? How do they color old black and white movies? More Great Links Motion Picture Production and Distribution The Real Deal on the Film Distribution Deal Motion Picture Production & Distribution Major Distribution ...
“Every single film we find is a true treasure,” Brunt tellsThe Hollywood Reporter The couple take prints, either up to one second, one second, or two seconds depending on the size of the work, encase them in resin as to prevent the ink from further oxidizing, and sell their pieces ...
Alana Liles Cyber-fox #2 God in the Machine(2003) Harry Paratestes Mechanic Veronica 2030(1999) MOVIEmeter Members only Become a member to access additional data Try IMDbPro Premium for free Ratings Breakdown 1 external link (official website)...
See How Swearing at Work Works's production, company, and contact information. Explore How Swearing at Work Works's box office performance, follow development, and track popularity with MOVIEmeter. IMDbPro — The essential resource for entertainment prof
New Year’s Eve Ratings: ABC’s ‘Rockin’ Eve’ Remains Dominant, CNN Tops Cable at Midnight 1/3/2025 by Alex Weprin The Hollywood Reporter - Movie News Paramount Why The First Big Movie Conspiracy Theory Of 2025 Doesn't Hold Any Water ...
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Cross-country differences in how content influences mature movie ratings. Journal of Children and Media, 8(3), 240-252. doi: 10.1080/17482798.2014.880359Price, J., Palsson, C., & Gentile, D. A. (2014). What matters in movie ratings? Cross-country differences in how content influences ...
Since we couldn't find any suitable multimodal video game dataset, we created our own dataset named VGD (Video Game Dataset) and provide it along with this work. The approach mentioned here can be generalized to other multimodal datasets such as movie trailers and summaries etc. Towards the ...
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recommendations and offered the winner $1 million.5By sharing a dataset of 100 million anonymous movie ratings, Netflix encouraged participants to develop algorithms that could predict movie ratings more accurately. The winning team achieved a 10.06% improvement over Netflix’s original recommendation ...