buzzscale.com
Any thoughts on "ratings effects"? E.g., proportionality to either gush about a movie or pan it, exclusively? Lack of nuanced reviews? (No one goes on Twitter to say, "It was whatever.")
A feature suggestion - "Enter your email to get weekly notification for movies with more than 80 buzzscore" (where 80 is editable.) An extension to this could be email me movies that are popular for their comedy, acting or the story.
Gangster Squad for example has a 80 buzz score, but it got between terrible and mediocre reviews. Django has an 85 buzz score, but got almost universally great reviews. Django will make roughly 4 to 5 times as much money as Gangster Squad, and was just about blanket everywhere in the media 24/7, so it's very unlikely Ganster has anywhere close to as much actual buzz as Django.
The data from people using Senti to rank movie sentiment has been interesting: https://senti.crowdflower.com
"Don't pay any attention to what they write about you, just measure it in inches"
The real beauty of all the social data now available is that a service like this could theoretically provide ratings based on the sentiment of people who's opinions I follow or who are have similar tastes to me. I don't care how much the average person loves Pitch Perfect, its just not something want on my list of potential movies. If I were matched through my social iterations to people who's ratings are relevant that would likely be obvious.
I love seeing new software in this space and I hope you develop it further, but you're going to need to dive much deeper into the social data available if you want to really make a disruption.
The (simplified) idea for recommending movies was:
1. Crawl a torrent site (say, the pirate bay) for as many torrents you can find. Extract the title, description, magnet link and category for each torrent. 2. Use the DHT network to find out which IP addresses are downloading what torrents 3. Use these (torrent, ip) tuples to build a recommendation based on "People who download X also download Y"
This way you can try to find movies that are liked (or actually, downloaded) by people with similar taste to you. The quality of this recommender is quite impressive in my opinion.
Email me at arno at vanlumig dot com if you want to see the proof of concept, I won't post a link here because the performance is quite bad and I'm sure the server won't be able to handle any significant load.
I will make the data (torrent metadata and data about who downloaded what) available as soon as I've anonymised the IP addresses, also mail me if you're interested in that data.
see here for more details: http://ogp.me
Also: the hottest and sexiest movies #6: Ice Age??? :)
Nice idea, though; seems to work impressively well.
And as a sidenote, Twitter would very much prefer if the API would just disappear, as they get non-linear benefits from users going to twitter.com instead of accessing its services through a third party. Internally, it is spoken of as a liability.
I doubt that their API is spoken of as a liability internally because, if it was spoken of as a liability then Twitter.com itself is a liability. Why? Twitter.com itself is powered by their API[1]
[1] http://engineering.twitter.com/2010/09/tech-behind-new-twitt...
Trust me on this.
Eventually it would be cool to do stuff like material goods (cellphones, appliances, etc...) so that consumers have another users to leverage when trying to find something to buy. Imagine being able to compare cars based on what people are writing across the web about the cars durability, performance, comfort when shopping for a car!
But right now I'm working on the website by myself and have a ton of work to do.
https://www.rottentomatoes.com/help_desk/syndication_rss.php
One little thing though: please add the fullscreen button on these trailers, it would be much more enjoyable to watch them.