content-engine | simple content-based recommendation engine | Machine Learning library
kandi X-RAY | content-engine Summary
kandi X-RAY | content-engine Summary
This is a production-ready, but very simple, content-based recommendation engine that computes similar items based on text descriptions. It comes with a sample data file (the headers of the input file are expected to be identical to the same file -- id, description) of 500 products so you can try it out. This code was built to accompany this blog post that explains the motivation of the content engine and walks through the approach. It is a flask-based REST webservice designed to be deployed to Heroku and relies on Anaconda for installation of the scientific computing dependencies, and Redis to store precomputed similarities.
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Top functions reviewed by kandi - BETA
- Train the engine
- Train the model
- Log an informational message
content-engine Key Features
content-engine Examples and Code Snippets
Community Discussions
Trending Discussions on content-engine
QUESTION
With the following code I try to grab product information from a adidas api:
...ANSWER
Answered 2021-Feb-22 at 15:40You try to find a price
in the json, but there is no price information available.
You have to call another api with the productId
per item:
QUESTION
I have a java project which uses sbt(scala) for build. Up until yesterday this was working, but today I am seeing an issue in pulling a repo from maven
...ANSWER
Answered 2020-Feb-05 at 16:10Check the links in sbt configruation file: ~/.sbt/repositories
Change the line maven-central: http://repo1.maven.org/maven2/
to maven-central: https://repo1.maven.org/maven2/
It fixes the downloading without sbt update
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install content-engine
You can use content-engine like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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