Case Recommender - A Recommender Framework for Python

Case Recommender is a Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback. The framework aims to provide a rich set of components from which you can construct a customized recommender system from a set of algorithms. Case Recommender has different types of item recommendation and rating prediction approaches, and different metrics validation and evaluation.

Algorithms

Item Recommendation:

• BPR MF

• Item KNN

• Item Attribute KNN

• User KNN

• User Attribute KNN

• Ensemble BPR Learning

Rating Prediction:

• Matrix Factorization

• Item KNN

• Item Attribute KNN

• User KNN

• User Attribute KNN

• Item NSVD1 (with and without Batch)

• Item NSVD1 (with and without Batch)

Evaluation and Validation Metrics

• All-but-one Protocol

• Cross-fold- Validation

• Item Recommendation: Precision, Recall and Map

• Rating Prediction: MAE and RMSE

Usage

Soon...

#Input

The input-files of traditional have to be placed in the corresponding subdirectory and are in csv-format with 3 columns

• User

• Item

• Feedback

Example: user_1\titem_1\tfeedback

Help CaseRecommender

To help the project with contributions follow the steps:

• Fork CaseRecommender

• Make your alterations and commit

• Create a topic branch - git checkout -b my_branch

• Push to your branch - git push origin my_branch

• Create a Pull Request from your branch.

• You just contributed to the CaseRecommender project!

For bugs or feedback use this link: https://github.com/ArthurFortes/CaseRecommender/issues

Requirements

• scipy
• numpy

Developed By

Arthur Fortes da Costa

University of São Paulo - ICMC (USP)

[email protected]

License (GPL)

© 2016. Case Recommender All Rights Reserved

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program.  If not, see <http://www.gnu.org/licenses/>.