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Recommender Systems 101 – a step by step practical example in R

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8 Responses

  1. G Vinash says:

    Thank you for the introductory work! Good summary and well explained! What if you want to develop a recommendation algorithm on your own? Any suggestions?

    • Bigdata Doc Bigdata Doc says:

      Well, the R package I mentioned in this post is properly speaking a framework to test your recommendation approaches with the most famous algorithms already implemented. Have a look at the package documentation! Otherwise, try to implement it yourself from scratch! It’s big fun 🙂

  2. Datamaniac says:

    THx Doc for the post! Where s the limit to stop using R and start moving to Mahout or a robuster framework? ANy rule of thumb?

  3. vunhan says:

    Thanks you very much. The formula caculate Affinity, you cited in What the paper or source?

  4. data says:

    hello thanks for the good explanation, can you tell use the R code which have used in order to prepare the dataset befor runing the collaborative filtring?

    thanks in advance

  1. December 25, 2014

    […] this site. This is actually not a proper post, but a respond to a comment from my previous post Recommender Systems 101 – a step by step practical example in R. If you haven’t read it yet, you better start there :). Datamaniac […]

  2. December 27, 2017

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