This package provides tools for predicting users future visits based on CF and the algorithms can be found in exprmodels.py.

There are two scripts for running the experiments: exprrunner.py and runner2.py and the latter are more multiprocessor friendly. As runner2.py requires long configurations, two configuring scripts are provided: anexpr.py and guianexpr.py and the latter is based on the former. The default config can be found in config.py.

For evaluating the algorithms designed for predicting users' future visits, a script called evalres.py is provided, and another script called evalsig.py is used for wilcoxon tests. A auxiliary script concentrate.py is provide to combine the outputs from all the folds of experiments.

The MIT License (MIT)

Copyright (c) 2014 Wen Li

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.