update model name of CTR

README.md

@@ -96,8 +96,10 @@ cornac.Experiment(eval_method=rs, models=models, metrics=metrics, user_based=Tru
 | [PMF](cornac/models/pmf) | 0.7534 | 0.9138 | 0.7744 |  0.0491 |  0.0617 |       0.0533 |    0.0479 |       2.18 |     1.64 |
 | [BPR](cornac/models/bpr) |    N/A |    N/A | 0.8695 |  0.0753 |  0.0975 |       0.0727 |    0.0891 |       3.74 |     1.49 |
 
+
 For more details, please take a look at our [examples](examples) as well as [tutorials](tutorials). For learning purposes, this list of [tutorials on recommender systems](https://github.com/PreferredAI/tutorials/tree/master/recommender-systems) will be more organized and comprehensive. 
 
+
 ## Models
 
 The recommender models supported by Cornac are listed below. Why don't you join us to lengthen the list?
@@ -131,7 +133,7 @@ The recommender models supported by Cornac are listed below. Why don't you join
 |      | [Social Bayesian Personalized Ranking (SBPR)](cornac/models/sbpr), [paper](https://cseweb.ucsd.edu/~jmcauley/pdfs/cikm14.pdf) | N/A | [sbpr_epinions.py](examples/sbpr_epinions.py)
 | 2013 | [Hidden Factors and Hidden Topics (HFT)](cornac/models/hft), [paper](https://cs.stanford.edu/people/jure/pubs/reviews-recsys13.pdf) | N/A | [hft_exp.py](examples/hft_example.py)
 | 2012 | [Weighted Bayesian Personalized Ranking (WBPR)](cornac/models/bpr), [paper](http://proceedings.mlr.press/v18/gantner12a/gantner12a.pdf) | N/A | [bpr_netflix.py](examples/bpr_netflix.py)
-| 2011 | [Collaborative Topic Modeling (CTR)](cornac/models/ctr), [paper](http://www.cs.columbia.edu/~blei/papers/WangBlei2011.pdf) | N/A | [ctr_citeulike.py](examples/ctr_example_citeulike.py)
+| 2011 | [Collaborative Topic Regression (CTR)](cornac/models/ctr), [paper](http://www.cs.columbia.edu/~blei/papers/WangBlei2011.pdf) | N/A | [ctr_citeulike.py](examples/ctr_example_citeulike.py)
 | Earlier | [Baseline Only](cornac/models/baseline_only), [paper](http://courses.ischool.berkeley.edu/i290-dm/s11/SECURE/a1-koren.pdf) | N/A | [svd_exp.py](examples/svd_example.py)
 |      | [Bayesian Personalized Ranking (BPR)](cornac/models/bpr), [paper](https://arxiv.org/ftp/arxiv/papers/1205/1205.2618.pdf) | N/A | [bpr_netflix.py](examples/bpr_netflix.py)
 |      | [Factorization Machines (FM)](cornac/models/fm), [paper](https://www.csie.ntu.edu.tw/~b97053/paper/Factorization%20Machines%20with%20libFM.pdf) | Linux only | [fm_example.py](examples/fm_example.py)

docs/source/models.rst

@@ -148,7 +148,7 @@ Weighted Bayesian Personalized Ranking (WBPR)
 .. autoclass:: cornac.models.bpr.recom_wbpr.WBPR
    :members:
 
-Collaborative Topic Modeling (CTR)
+Collaborative Topic Regression (CTR)
 -------------------------------------------
 .. automodule:: cornac.models.ctr.recom_ctr
    :members:

examples/README.md

@@ -42,7 +42,7 @@
 
 [conv_mf_example.py](conv_mf_example.py) - Convolutional Matrix Factorization (ConvMF) with MovieLens dataset.
 
-[ctr_example_citeulike.py](ctr_example_citeulike.py) - Collaborative Topic Modelling (CTR) with CiteULike dataset.
+[ctr_example_citeulike.py](ctr_example_citeulike.py) - Collaborative Topic Regression (CTR) with CiteULike dataset.
 
 [cvae_example.py](cvae_example.py) - Collaborative Variational Autoencoder (CVAE) with CiteULike dataset.
 

examples/ctr_example_citeulike.py

@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-"""Example for Collaborative Topic Modeling"""
+"""Example for Collaborative Topic Regression"""
 
 import cornac
 from cornac.data import Reader