The performance of session-based recommender should be evaluated with business metrics
We should judge a model's performance by its ability to solve our problems - specifically, by the Key Performance Indicators, such as quarterly revenue. Suppose we change our focus from theoretical metrics to business indicators. In that case, we may avoid implementing any ML solution,...
Set this right! – How to prepare recommendation system for the real world
How to setup recommendation system to get the best results...
How does session-based recommendation engine work? WSKNN algorithm overview
How does session-based engine work?...
How should you evaluate session-based recommendations?
Scoring recommender systems...
Which movie should you recommend next? Session-based recommendation engine in Python, part 1
Recommend movies that user should watch next...
Toolbox: Name and Frequency of unique elements from a List in Python
Count unique categories in a list...
Create Travel Map with Python and PyGMT
Prepare map for Instagram post...
Get more from Crime Rate data and other socio-economic indicators with Pyinterpolate
Transform low-resolution county aggregates into high-resolution input for your machine learning models and analysis....
Toolbox: Get date n weeks from another date in Python
If you want to trim your weekly time series into training and test set, or create / check the date n weeks ahead or back then this function is for you!...
Spatial Epidemiology: Baltic Sea and Algal Blooms – how to get data?
Dangerous and toxic algal blooms are a worldwide issue. Where do we get data to analyze those events?...