For this project i analyze the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations to them about new articles you think they will like. Below you can see an example of what the dashboard could look like displaying articles on the IBM Watson Platform.
My project is divided into following tasks
Find out the distribution of articles a user interacts within the dataset and provide a visual and descriptive statistics.
Provide two functions to get n top articles names and n top articles ids.
Each user should only appear in each row once. Each article should only show up in one column. If a user has interacted with an article, then place a 1 where the user-row meets for that article-column. It does not matter how many times a user has interacted with the article, all entries where a user has interacted with an article should be a 1. If a user has not interacted with an item, then place a zero where the user-row meets for that article-column
build matrix factorization to make article recommendations to the users on the IBM Watson Studio platform using user_item matrix .