Skip to content

tassia/AppRecommender

Repository files navigation

AppRecommender Build Status

Application recommender for GNU/Linux systems

Install dependencies

$ apt-get install python python-xapian python-apt python-cluster python-webpy python-simplejson python-numpy apt-xapian-index python-xdg debtags python-pip python-sklearn python-matplotlib python-stemmer -y
$ sudo update-apt-xapian-index

$ pip install setuptools

Run AppRecommender web UI

$ cd ./src/web
$ ./server.py

Open a browser and access http://localhost:8080

More info at https://github.com/tassia/AppRecommender/wiki

Run AppRecommender in Terminal

$ cd ./bin
$ ./apprec.py -s cb

Run "$ ./apprec.py -h" to view the recommender strategies

Prepare AppRecommender data

Run the following commands:

$ ./install_dependencies.sh
$ cd ./bin
$ ./apprec.py --init

Run Machine Learning Training

$ cd ./bin
$ ./apprec.py --train

About

A recommender system for GNU/Linux applications

Resources

Stars

Watchers

Forks

Packages

No packages published

Contributors 4

  •  
  •  
  •  
  •  

Languages