I would like to build a recommendation system based only in the items metadata.
I have an input vector with some desirable topics that the user want to read about, for example: (self-help, yoga, sports)
On the other hand I have a dataset with books with Title, Description, among other fields.
Up to now I am building this model locally with Python, using clustering to group books by similarity.
However, I would like to build a Recommendation System using Amazon Personalize for this case using only item metadata. I do not want to add other info as ratings for now.
Is it possible? Do you know some example?