# Item-to-Item recommendation using DNN

I am new to DNN still learning, have a need to build item-to-item content based recommendation using DNN. For example, say I have a column of strings where each row represents a document I need to compute the cosine similarity of this column and recommend similar documents.

id   document

1     "hi this document is about science"

2     "hi this document is about wars"
3     "This document is about peace"


now need to train based on document and column and recommend all the documents similar to a given document. I have solved this problem by using cosine similarity in ML now wanted to achieve the same in DNN (Deep Neural Nets). I have spent a lot of time on the net they all talk about movie rating where userId, rating, title is used. The problem I only have one column document how can I achieve this in DNN?