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docs: fix PDF build
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zhenghaoz committed May 25, 2019
1 parent 963e1e7 commit 08e9b54
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20 changes: 10 additions & 10 deletions docs/introduction/model/index.rst
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Expand Up @@ -8,25 +8,25 @@ Models
+----------------------+----------+----------+--------+--------+---------+
| | explicit | implicit | weight | rating | ranking |
+======================+==========+==========+========+========+=========+
| BaseLine | | | | | |
| BaseLine | Yes | | | Yes | Yes |
+----------------------+----------+----------+--------+--------+---------+
| NMF [#NMF]_ | | | | | |
| NMF [#NMF]_ | Yes | | | Yes | Yes |
+----------------------+----------+----------+--------+--------+---------+
| SVD | | | | | |
| SVD | Yes | | | Yes | Yes |
+----------------------+----------+----------+--------+--------+---------+
| SVD++ [#SVDPP]_ | | | | | |
| SVD++ [#SVDPP]_ | Yes | | | Yes | Yes |
+----------------------+----------+----------+--------+--------+---------+
| KNN [#KNN]_ | | | | | |
| KNN [#KNN]_ | Yes | | | Yes | Yes |
+----------------------+----------+----------+--------+--------+---------+
| CoClustering [#COC]_ | | | | | |
| CoClustering [#COC]_ | Yes | | | Yes | Yes |
+----------------------+----------+----------+--------+--------+---------+
| SlopeOne [#SO]_ | | | | | |
| SlopeOne [#SO]_ | Yes | | | Yes | Yes |
+----------------------+----------+----------+--------+--------+---------+
| ItemPop | | | | | |
| ItemPop | Yes | Yes | | | Yes |
+----------------------+----------+----------+--------+--------+---------+
| WRMF [#WRMF]_ | | | | | |
| WRMF [#WRMF]_ | Yes | Yes | Yes | | Yes |
+----------------------+----------+----------+--------+--------+---------+
| BPR [#BPR]_ | | | | | |
| BPR [#BPR]_ | Yes | Yes | | | Yes |
+----------------------+----------+----------+--------+--------+---------+

Apparently, these models using implicit feedbacks are more general since explicit feedbacks could be converted to implicit feedbacks and item ranking could be done by rating prediction.
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2 changes: 1 addition & 1 deletion docs/introduction/model/knn.rst
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Expand Up @@ -50,7 +50,7 @@ Then, the *Mean Square Distance Similarity* is

.. math::
\text{msd_sim}(u, v) = \frac{1}{\text{msd}(u, v) + 1}
\text{MSDSim}(u, v) = \frac{1}{\text{msd}(u, v) + 1}
Predict
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