Merge pull request #57 from tqtg/master

Update BPR negative sampling and README files

README.md

@@ -6,6 +6,8 @@
 
 [Website](https://cornac.preferred.ai/) |
 [Documentation](https://cornac.readthedocs.io/en/latest/index.html) |
+[Models](https://github.com/PreferredAI/cornac/tree/master/cornac/models#models) |
+[Examples](https://github.com/PreferredAI/cornac/tree/master/examples#cornac-examples-directory) |
 [Preferred.AI](https://preferred.ai/)
 
 [![TravisCI](https://img.shields.io/travis/PreferredAI/cornac/master.svg?logo=travis)](https://www.travis-ci.org/PreferredAI/cornac)

cornac/models/README.md

@@ -1,7 +1,7 @@
 # Models
 
-This directory includes the implementation of all the models (listed below) supported in Cornac. 
-Additional dependencies (CPU versions) for each model are also listed accordingly.
+This directory includes the implementation of all the models supported in Cornac. 
+Additional dependencies (CPU versions) and examples for each model are also listed accordingly.
 
 | Model and paper | Additional dependencies | Examples |
 | --- | :---: | :---: |
@@ -11,9 +11,9 @@ Additional dependencies (CPU versions) for each model are also listed accordingl
 | [Collaborative Ordinal Embedding (COE)](coe), [paper](http://www.hadylauw.com/publications/sdm16.pdf) | [requirements.txt](coe/requirements.txt) |
 | [Hierarchical Poisson Factorization (HPF)](hpf), [paper](http://jakehofman.com/inprint/poisson_recs.pdf) | N/A |
 | [Indexable Bayesian Personalized Ranking (IBPR)](ibpr), [paper](http://www.hadylauw.com/publications/cikm17a.pdf) | [requirements.txt](ibpr/requirements.txt) | [ibpr_example.py](../../examples/ibpr_example.py)
-| [Matrix Factorization (MF)](mf), [paper](https://datajobs.com/data-science-repo/Recommender-Systems-[Netflix].pdf) | N/A |
+| [Matrix Factorization (MF)](mf), [paper](https://datajobs.com/data-science-repo/Recommender-Systems-[Netflix].pdf) | N/A | [biased_mf.py](../../examples/biased_mf.py), [given_data.py](../../examples/given_data.py)
 | [Online Indexable Bayesian Personalized Ranking (Online IBPR)](online_ibpr), [paper](http://www.hadylauw.com/publications/cikm17a.pdf) | [requirements.txt](online_ibpr/requirements.txt) |
 | [Probabilistic Collaborative Representation Learning (PCRL)](pcrl), [paper](http://www.hadylauw.com/publications/uai18.pdf) | [requirements.txt](pcrl/requirements.txt) |
-| [Probabilistic Matrix Factorization (PMF)](pmf), [paper](https://papers.nips.cc/paper/3208-probabilistic-matrix-factorization.pdf) | N/A | [biased_mf.py](../../examples/biased_mf.py), [given_data.py](../../examples/given_data.py)
+| [Probabilistic Matrix Factorization (PMF)](pmf), [paper](https://papers.nips.cc/paper/3208-probabilistic-matrix-factorization.pdf) | N/A |
 | [Spherical K-means (SKM)](skm), [paper](https://www.sciencedirect.com/science/article/pii/S092523121501509X) | N/A |
 | [Visual Bayesian Personalized Ranking (VBPR)](vbpr), [paper](https://arxiv.org/pdf/1510.01784.pdf) | [requirements.txt](vbpr/requirements.txt) | [vbpr_tradesy.py](../../examples/vbpr_tradesy.py)