#negative sampling

Fast uniform negative sampling for rating matrix

Sometimes, we want to reduce the training time by using a subset of a very large dataset while the number of negative samples outnumbers the positive ones, e.g. word embedding. Another situation when we deal with implicit data. In this case, we may need to populate new data for negative values. This post demonstrates how to generate data for training using uniform negative sampling.

The data

Movielens automation- Process and export

Movie lens is a popular collection of datasets for recommender systems. This post introduces a python script to process the movie lens datasets, generate a negative sample, and transforms the datasets into SVM light format. The format is also known as libfm format used in many factorization machines.

Movie Lens datasets

Movie lens icon on Amazon

MovieLens is a web-based recommender…