资 源 简 介
SUGGEST is a Top-N recommendation engine that implements a variety of recommendation algorithms for collaborative filtering.
Python wrapper by Ricardo Niederberger Cabral (ricardo.cabral at imgseek.net).
Recommendation engine by George Karypis (http://glaros.dtc.umn.edu/gkhome/suggest/overview).
More about the wrapped library (SUGGEST):
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.
The algorithms imple
