Recommender system by sentences

m_keshavarz_comm_keshavarz_com Member Posts: 28 Contributor I
edited December 2018 in Help

Hello
Excuse me, I have a dataset about reviews about the movie.
I clustered them
The professor told me to make an recommender system
Does anyone have an idea?
How can I suggest to the user after surveys and movie sentences after the clustering
help me . I have a request
Thankful
Very necessary. I am waiting.

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Answers

  • lionelderkrikorlionelderkrikor Moderator, RapidMiner Certified Analyst, Member Posts: 696   Unicorn
    edited February 12

    Hi @m_keshavarz_com,

     

    You have a dedicated extension called Recommenders (to install from the MarketPlace)

     

    I hope it helps,

     

    Edit : You can take a look at this short video from @Knut-RM : 

    Recommendation Engines 

    Regards,

     

    Lionel

  • lionelderkrikorlionelderkrikor Moderator, RapidMiner Certified Analyst, Member Posts: 696   Unicorn

    Hi again @m_keshavarz_com,

     

    Can you share your dataset and your process in order we can help you better ?

     

    Regards,

     

    Lionel

  • m_keshavarz_comm_keshavarz_com Member Posts: 28 Contributor I

    Hello
    Yes i downloaded
    But I do not know how to check the data that I do not have. After clustering. Create a recommender system? And how do I recommend a movie to a user? is it possible?
    Sample process?
    My process included

    read csv (For data, you can get help from twitter because my data is like this)
    select attribute (Review columns)
    nominal to text
    process from data (tokenixe.stop word, stem porter)
    clustering (kmeans, k = 8)

    Sorry I could not see the xml option in the viewport
    Thanks if you help me. Thank you so much.
    regards

  • geb_hartgeb_hart Member Posts: 5 Contributor I
    edited February 11
    sadly the posted video doesn't work... 

  • sgenzersgenzer Administrator, Moderator, Employee, RapidMiner Certified Analyst, Community Manager, Member, University Professor Posts: 2,188  Community Manager
    @geb_hart link is fixed now.
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