Hello ! I am new to the community and I need some help in making a basic movie recommendation system as a school project. Can someone please help me with the basics of this as i am new to this software.
Download the Recommender Extension here: https://marketplace.rapidminer.com/UpdateServer/faces/product_details.xhtml?productId=rmx_irbrecomme...
Then visit http://elico.rapid-i.com/recommender-extension.html and find they're sample workflows.
Thank you Thomas, but out instructor didnot provide information about this extension that you have mentioned. Is it possible to make a recommendation workflow without the extension ? if so what would be the difference in it ?
thank you very much for the replies and i am sorry to bug you like this but this means a lot to me. let me clarify the task a bit more and if you can please enlighten me with some info on how to do it. this is the task that has been given to us,
Develop a recommender system for a movie streaming service.
Using Rapid Miner you need to create and test a recommendation system that is as accurate as possible
we have been provided with 4 data sets (.CSV Files) which are LINKS, MOVIES, TAGS and RATINGS. they all have thounsands of entries and i am a little confused on how to work with this.
suggestive readings are,
Constructing recommender systems workflow templates in RapidMiner
A Decision Tree Based Recommender System
Extending RapidMiner with recommender systems algorithms
your help will be greatly appreciated sir !
"Extending RapidMiner with recommender systems algorithms" and "Constructing recommender systems workflow templates in RapidMiner"
I read that to mean the Recommender Extension and sample workflows, as I proposed above.
Also, the recommender system extension is free, so there really isn't a reason not to try it. It sounds like you are going to have to do some preliminary data ETL to combine the information from your 4 separate files into a single dataset and then use that dataset with the recommender operators to create a recommender system, along the lines described in the resources that Tom has suggested.