efficient library to recommend product based on user history [closed]

Question

I have a database of which products every user has viewed and I want to recommend a product based on what similar users have viewed. Is there a Python library that can achieve this? I don't need Netflix quality results, just products that are more likely than not of interest. Any ideas?

Answer 1

You can check out pysuggest.

From the site:

SUGGEST is a Top-N recommendation engine that implements a variety of recommendation algorithms. Top-N recommender systems, a personalized information filtering technology, are used to identify a set of N items that will be of interest to a certain user. In recent years, top-N recommender systems have been used in a number of different applications such to recommend products a customer will most likely buy; recommend movies, TV programs, or music a user will find enjoyable; identify web-pages that will be of interest; or even suggest alternate ways of searching for information.