Update docs

README.md

@@ -175,6 +175,7 @@ The recommender models supported by Cornac are listed below. Why don't you join
 |      | [Collaborative Ordinal Embedding (COE)](cornac/models/coe), [paper](http://www.hadylauw.com/publications/sdm16.pdf) | [requirements.txt](cornac/models/coe/requirements.txt) |
 |      | [Convolutional Matrix Factorization (ConvMF)](cornac/models/conv_mf), [paper](http://uclab.khu.ac.kr/resources/publication/C_351.pdf) | [requirements.txt](cornac/models/conv_mf/requirements.txt) | [convmf_exp.py](examples/conv_mf_example.py)
 |      | [Learn to Rank user Preferences based on Phrase-level sentiment analysis across Multiple categories (LRPPM)](cornac/models/lrppm), [paper](https://www.yongfeng.me/attach/sigir16-chen.pdf) | N/A | [lrppm_example.py](examples/lrppm_example.py)
+|      | [Session-based Recommendations With Recurrent Neural Networks (GRU4Rec)](cornac/models/gru4rec), [paper](https://arxiv.org/pdf/1511.06939.pdf) | [requirements.txt](cornac/models/gru4rec/requirements.txt) | [gru4rec_yoochoose.py](examples/gru4rec_yoochoose.py)
 |      | [Spherical K-means (SKM)](cornac/models/skm), [paper](https://www.sciencedirect.com/science/article/pii/S092523121501509X) | N/A | [skm_movielens.py](examples/skm_movielens.py)
 |      | [Visual Bayesian Personalized Ranking (VBPR)](cornac/models/vbpr), [paper](https://arxiv.org/pdf/1510.01784.pdf) | [requirements.txt](cornac/models/vbpr/requirements.txt) | [vbpr_tradesy.py](examples/vbpr_tradesy.py)
 | 2015 | [Collaborative Deep Learning (CDL)](cornac/models/cdl), [paper](https://arxiv.org/pdf/1409.2944.pdf) | [requirements.txt](cornac/models/cdl/requirements.txt) | [cdl_exp.py](examples/cdl_example.py)

examples/README.md

@@ -108,6 +108,14 @@
 
 ----
 
+## Next-Item Algorithms
+
+[spop_yoochoose.py](spop_yoochoose.py) - Next-item recommendation based on item popularity.
+
+[gru4rec_yoochoose.py](gru4rec_yoochoose.py) - Example of Session-based Recommendations with Recurrent Neural Networks (GRU4Rec).
+
+----
+
 ## Next-Basket Algorithms
 
 [gp_top_tafeng.py](gp_top_tafeng.py) - Next-basket recommendation model that merely uses item top frequency.

examples/spop_yoochoose.py

@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-"""Example of a next-basket recommendation model that merely uses item top frequency"""
+"""Example of a next-item recommendation model based on item popularity"""
 
 import cornac
 from cornac.datasets import yoochoose