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I have some application which are offering a book to read. Users normally read some paragraphs of it only (it contains +6000 paragraphs).

Looking at scatter for users vs paragraphs: [![enter image description here][1]][1]enter image description here

Which you can see is semi equal distributed. Using SVD algorithm for matrix factoize gives a semi random predictions. I have total of 18k records of user read paragraphs. Looking for users, it seems that a user is reading semi random set (i.e. it is hard to specify common topics for a single user readings)

Can you suggest me how to produce suggestions related to each user ? [1]: https://i.sstatic.net/joKmc.png

I have some application which are offering a book to read. Users normally read some paragraphs of it only (it contains +6000 paragraphs).

Looking at scatter for users vs paragraphs: [![enter image description here][1]][1]

Which you can see is semi equal distributed. Using SVD algorithm for matrix factoize gives a semi random predictions. I have total of 18k records of user read paragraphs. Looking for users, it seems that a user is reading semi random set (i.e. it is hard to specify common topics for a single user readings)

Can you suggest me how to produce suggestions related to each user ? [1]: https://i.sstatic.net/joKmc.png

I have some application which are offering a book to read. Users normally read some paragraphs of it only (it contains +6000 paragraphs).

Looking at scatter for users vs paragraphs: enter image description here

Which you can see is semi equal distributed. Using SVD algorithm for matrix factoize gives a semi random predictions. I have total of 18k records of user read paragraphs. Looking for users, it seems that a user is reading semi random set (i.e. it is hard to specify common topics for a single user readings)

Can you suggest me how to produce suggestions related to each user ?

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FindOutIslamNow
FindOutIslamNow
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Building Recommender for book paragraphs

I have some application which are offering a book to read. Users normally read some paragraphs of it only (it contains +6000 paragraphs).

Looking at scatter for users vs paragraphs: [![enter image description here][1]][1]

Which you can see is semi equal distributed. Using SVD algorithm for matrix factoize gives a semi random predictions. I have total of 18k records of user read paragraphs. Looking for users, it seems that a user is reading semi random set (i.e. it is hard to specify common topics for a single user readings)

Can you suggest me how to produce suggestions related to each user ? [1]: https://i.sstatic.net/joKmc.png