Skip to content

Python implementation of an item based collaborative filter (recommendation algorithm). Example provided for application in a supermarket with an example dataset

Notifications You must be signed in to change notification settings

mcflyhalf/hiije

Repository files navigation

HIIJE

Hiije is a recommendation system currently built for grocery recommendations. The system itself is an implementation of the work of Karypis and Deshpande. The description there is very technical and is recommended for people who actually intend to implement, extend or adapt the algorithm in some way. For ordinary humans who may just want to use it and see how cool it is, there is a layman's explanation provided.

The name Hiije is a combination of 2 Kiswahili words that form a question.

How to use Hiije

A sample use of Hiije is provided ... <create Include a link and/or description>. Like any recommendation system Hiije requires historical data from which to make recommendations. The data used in the sample use is obtained from Stedy's GitHub repository

TODO...

Hiije Architecture

The architecture of the Hiije python project is described in a separate hiije architecture documentation. This is recommended for programmers who may want to understand, modify or extend Hiije in Python.

About

Python implementation of an item based collaborative filter (recommendation algorithm). Example provided for application in a supermarket with an example dataset

Topics

Resources

Stars

Watchers

Forks

Packages

No packages published