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Laravel News:
New community project Laravel Collective
February 09, 2015 @ 11:56:47

A new project has been launched in the Laravel community to try to maintain some of the core Laravel components that have been deprecated by the framework - the Laravel Collective.

The Laravel Collective is a new Laravel community organization headed by Adam Engebretson and Tom Shafer. It's primary goal is to help maintain the core Laravel components that have been deprecated by the framework. Currently the packages the Collective is taking over is HTML/Form and Annotations. They have a new site in the works which, when launched, will have complete documentation, team information, and more information on the packages. Until it's launched you can check out their GitHub repository.

The full project hasn't launched yet, but if you're interested in becoming a part of it, you can sign up for their newsletter and get updates as they're posted.

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laravel collective deprecated package maintain

Link: http://laravelcollective.com

Dave Gardner's Blog:
Applying collective intelligence to PHP UK Conference 2011
March 02, 2011 @ 11:08:27

Dave Gardner has put together a post about some work he did with the Joind.in API (an event feedback site) to apply collective intelligence to the results of the PHP UK Conference.

The term "collective intelligence" refers to intelligence that emerges from the collaboration of a group. In this case, we can leverage the data within joind.in and make "intelligent" recommendations. This post looks at building a simple recommendation engine using the data from joind.in. You can download the entire source code here (gzipped) or view via PasteBin here and try it out for yourself.

His code connects to the Joind.in API and fetches the event's talk information and the comments for each. His "calculatePearson" function then takes in two users and the set of ratings to figure out how similar their preferences are. There's also a bit of code that approaches it from a different angle - providing recommendations for users based on their own comments.

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collective intelligence joindin api rating download



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