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Posted to commits@hivemall.apache.org by my...@apache.org on 2016/11/14 10:46:15 UTC

[05/12] incubator-hivemall-site git commit: added footers in the user guide

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/70615026/userguide/recommend/cf.html
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diff --git a/userguide/recommend/cf.html b/userguide/recommend/cf.html
index 3bcf2ba..8658b3f 100644
--- a/userguide/recommend/cf.html
+++ b/userguide/recommend/cf.html
@@ -1631,7 +1631,29 @@
     
                                 <section class="normal markdown-section">
                                 
-                                
+                                <!--
+  Licensed to the Apache Software Foundation (ASF) under one
+  or more contributor license agreements.  See the NOTICE file
+  distributed with this work for additional information
+  regarding copyright ownership.  The ASF licenses this file
+  to you under the Apache License, Version 2.0 (the
+  "License"); you may not use this file except in compliance
+  with the License.  You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+  Unless required by applicable law or agreed to in writing,
+  software distributed under the License is distributed on an
+  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+  KIND, either express or implied.  See the License for the
+  specific language governing permissions and limitations
+  under the License.
+-->
+<p><div id="page-footer"><hr><p><sub><font color="gray">
+Apache Hivemall is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator.
+</font></sub></p>
+</div></p>
+
                                 
                                 </section>
                             
@@ -1664,7 +1686,7 @@
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+            gitbook.page.hasChanged({"page":{"title":"Collaborative Filtering","level":"8.1","depth":1,"next":{"title":"Item-based Collaborative Filtering","level":"8.1.1","depth":2,"path":"recommend/item_based_cf.md","ref":"recommend/item_based_cf.md","articles":[]},"previous":{"title":"AdaGrad, AdaDelta","level":"7.2.4","depth":2,"path":"regression/kddcup12tr2_adagrad.md","ref":"regression/kddcup12tr2_adagrad.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incuba
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/70615026/userguide/recommend/item_based_cf.html
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diff --git a/userguide/recommend/item_based_cf.html b/userguide/recommend/item_based_cf.html
index 946467b..4089910 100644
--- a/userguide/recommend/item_based_cf.html
+++ b/userguide/recommend/item_based_cf.html
@@ -1631,7 +1631,25 @@
     
                                 <section class="normal markdown-section">
                                 
-                                <p>This document describe how to do Item-based Collaborative Filtering using Hivemall.</p>
+                                <!--
+  Licensed to the Apache Software Foundation (ASF) under one
+  or more contributor license agreements.  See the NOTICE file
+  distributed with this work for additional information
+  regarding copyright ownership.  The ASF licenses this file
+  to you under the Apache License, Version 2.0 (the
+  "License"); you may not use this file except in compliance
+  with the License.  You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+  Unless required by applicable law or agreed to in writing,
+  software distributed under the License is distributed on an
+  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+  KIND, either express or implied.  See the License for the
+  specific language governing permissions and limitations
+  under the License.
+-->
+<p>This document describe how to do Item-based Collaborative Filtering using Hivemall.</p>
 <p><em>Caution: naive similarity computation is <code>O(n^2)</code> to compute all item-item pair similarity. <a href="https://en.wikipedia.org/wiki/MinHash#Jaccard_similarity_and_minimum_hash_values" target="_blank">MinHash</a> is an efficient scheme for computing jaccard similarity. Section 6 show how to use MinHash in Hivemall.</em></p>
 <h2 id="1-prepare-transaction-table">1. Prepare transaction table</h2>
 <p>Prepare following transaction table. We are generating <code>feature_vector</code> for each <code>item_id</code> based on cooccurrence of purchased items, a sort of bucket analysis.</p>
@@ -2240,6 +2258,10 @@ topk <span class="hljs-keyword">as</span> (
 <span class="hljs-keyword">from</span> 
   topk;
 </code></pre>
+<p><div id="page-footer"><hr><p><sub><font color="gray">
+Apache Hivemall is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator.
+</font></sub></p>
+</div></p>
 
                                 
                                 </section>
@@ -2273,7 +2295,7 @@ topk <span class="hljs-keyword">as</span> (
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/70615026/userguide/recommend/movielens.html
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diff --git a/userguide/recommend/movielens.html b/userguide/recommend/movielens.html
index 098cf96..607a798 100644
--- a/userguide/recommend/movielens.html
+++ b/userguide/recommend/movielens.html
@@ -1631,7 +1631,29 @@
     
                                 <section class="normal markdown-section">
                                 
-                                
+                                <!--
+  Licensed to the Apache Software Foundation (ASF) under one
+  or more contributor license agreements.  See the NOTICE file
+  distributed with this work for additional information
+  regarding copyright ownership.  The ASF licenses this file
+  to you under the Apache License, Version 2.0 (the
+  "License"); you may not use this file except in compliance
+  with the License.  You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+  Unless required by applicable law or agreed to in writing,
+  software distributed under the License is distributed on an
+  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+  KIND, either express or implied.  See the License for the
+  specific language governing permissions and limitations
+  under the License.
+-->
+<p><div id="page-footer"><hr><p><sub><font color="gray">
+Apache Hivemall is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator.
+</font></sub></p>
+</div></p>
+
                                 
                                 </section>
                             
@@ -1664,7 +1686,7 @@
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/70615026/userguide/recommend/movielens_cv.html
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diff --git a/userguide/recommend/movielens_cv.html b/userguide/recommend/movielens_cv.html
index 71d4614..10f1012 100644
--- a/userguide/recommend/movielens_cv.html
+++ b/userguide/recommend/movielens_cv.html
@@ -1631,7 +1631,25 @@
     
                                 <section class="normal markdown-section">
                                 
-                                <p><a href="http://en.wikipedia.org/wiki/Cross-validation_(statistics" target="_blank">Cross-validation</a>#k-fold<em>cross-validationk-fold cross validation) is a model validation technique for assessing how a prediction model will generalize to an independent data set. This example shows a way to perform [k-fold cross validation](<a href="http://en.wikipedia.org/wiki/Cross-validation" target="_blank">http://en.wikipedia.org/wiki/Cross-validation</a></em>(statistics)#k-fold_cross-validation) to evaluate prediction performance.</p>
+                                <!--
+  Licensed to the Apache Software Foundation (ASF) under one
+  or more contributor license agreements.  See the NOTICE file
+  distributed with this work for additional information
+  regarding copyright ownership.  The ASF licenses this file
+  to you under the Apache License, Version 2.0 (the
+  "License"); you may not use this file except in compliance
+  with the License.  You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+  Unless required by applicable law or agreed to in writing,
+  software distributed under the License is distributed on an
+  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+  KIND, either express or implied.  See the License for the
+  specific language governing permissions and limitations
+  under the License.
+-->
+<p><a href="http://en.wikipedia.org/wiki/Cross-validation_(statistics" target="_blank">Cross-validation</a>#k-fold<em>cross-validationk-fold cross validation) is a model validation technique for assessing how a prediction model will generalize to an independent data set. This example shows a way to perform [k-fold cross validation](<a href="http://en.wikipedia.org/wiki/Cross-validation" target="_blank">http://en.wikipedia.org/wiki/Cross-validation</a></em>(statistics)#k-fold_cross-validation) to evaluate prediction performance.</p>
 <p><em>Caution:</em> Matrix factorization is supported in Hivemall v0.3 or later.</p>
 <h1 id="data-set-creating-for-10-folds-cross-validation">Data set creating for 10-folds cross validation.</h1>
 <pre><code class="lang-sql"><span class="hljs-keyword">use</span> movielens;
@@ -1681,7 +1699,11 @@ cluster <span class="hljs-keyword">by</span> gid, <span class="hljs-keyword">ran
 <p>0.6695442192077673 (MAE)</p>
 <p>0.8502739040257945 (RMSE)</p>
 </blockquote>
-<p><em>We recommend to use <a href="http://tez.apache.org/" target="_blank">Tez</a> for running queries having many stages.</em></p>
+<p><em>We recommend to use <a href="http://tez.apache.org/" target="_blank">Tez</a> for running queries having many stages.</em>
+<div id="page-footer"><hr><p><sub><font color="gray">
+Apache Hivemall is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator.
+</font></sub></p>
+</div></p>
 
                                 
                                 </section>
@@ -1715,7 +1737,7 @@ cluster <span class="hljs-keyword">by</span> gid, <span class="hljs-keyword">ran
     <script>
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+            gitbook.page.hasChanged({"page":{"title":"10-fold Cross Validation (Matrix Factorization)","level":"8.3.4","depth":2,"next":{"title":"Outlier Detection using Local Outlier Factor (LOF)","level":"9.1","depth":1,"path":"anomaly/lof.md","ref":"anomaly/lof.md","articles":[]},"previous":{"title":"Factorization Machine","level":"8.3.3","depth":2,"path":"recommend/movielens_fm.md","ref":"recommend/movielens_fm.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/in
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         });
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 </div>

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/70615026/userguide/recommend/movielens_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/movielens_dataset.html b/userguide/recommend/movielens_dataset.html
index 5649eef..3d33fca 100644
--- a/userguide/recommend/movielens_dataset.html
+++ b/userguide/recommend/movielens_dataset.html
@@ -1631,7 +1631,25 @@
     
                                 <section class="normal markdown-section">
                                 
-                                <h1 id="data-preparation">Data preparation</h1>
+                                <!--
+  Licensed to the Apache Software Foundation (ASF) under one
+  or more contributor license agreements.  See the NOTICE file
+  distributed with this work for additional information
+  regarding copyright ownership.  The ASF licenses this file
+  to you under the Apache License, Version 2.0 (the
+  "License"); you may not use this file except in compliance
+  with the License.  You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+  Unless required by applicable law or agreed to in writing,
+  software distributed under the License is distributed on an
+  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+  KIND, either express or implied.  See the License for the
+  specific language governing permissions and limitations
+  under the License.
+-->
+<h1 id="data-preparation">Data preparation</h1>
 <p>First, downlod MovieLens dataset from the following site.</p>
 <blockquote>
 <p><a href="http://www.grouplens.org/system/files/ml-1m.zip" target="_blank">http://www.grouplens.org/system/files/ml-1m.zip</a></p>
@@ -1775,6 +1793,10 @@ u_zipcode               string                  None
 <span class="hljs-keyword">order</span> <span class="hljs-keyword">by</span> rnd <span class="hljs-keyword">ASC</span>
 <span class="hljs-keyword">limit</span> <span class="hljs-number">200209</span>;
 </code></pre>
+<p><div id="page-footer"><hr><p><sub><font color="gray">
+Apache Hivemall is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator.
+</font></sub></p>
+</div></p>
 
                                 
                                 </section>
@@ -1808,7 +1830,7 @@ u_zipcode               string                  None
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Data preparation","level":"8.3.1","depth":2,"next":{"title":"Matrix Factorization","level":"8.3.2","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},"previous":{"title":"MovieLens movie recommendation Tutorial","level":"8.3","depth":1,"path":"recommend/movielens.md","ref":"recommend/movielens.md","articles":[{"title":"Data preparation","level":"8.3.1","depth":2,"path":"recommend/movielens_dataset.md","ref":"recommend/movielens_dataset.md","articles":[]},{"title":"Matrix Factorization","level":"8.3.2","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},{"title":"Factorization Machine","level":"8.3.3","depth":2,"path":"recommend/movielens_fm.md","ref":"recommend/movielens_fm.md","articles":[]},{"title":"10-fold Cross Validation (Matrix Factorization)","level":"8.3.4","depth":2,"path":"recommend/movielens_cv.md","ref":"recommend/movielens_cv.md","a
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+            gitbook.page.hasChanged({"page":{"title":"Data preparation","level":"8.3.1","depth":2,"next":{"title":"Matrix Factorization","level":"8.3.2","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},"previous":{"title":"MovieLens movie recommendation Tutorial","level":"8.3","depth":1,"path":"recommend/movielens.md","ref":"recommend/movielens.md","articles":[{"title":"Data preparation","level":"8.3.1","depth":2,"path":"recommend/movielens_dataset.md","ref":"recommend/movielens_dataset.md","articles":[]},{"title":"Matrix Factorization","level":"8.3.2","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},{"title":"Factorization Machine","level":"8.3.3","depth":2,"path":"recommend/movielens_fm.md","ref":"recommend/movielens_fm.md","articles":[]},{"title":"10-fold Cross Validation (Matrix Factorization)","level":"8.3.4","depth":2,"path":"recommend/movielens_cv.md","ref":"recommend/movielens_cv.md","a
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/70615026/userguide/recommend/movielens_fm.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/movielens_fm.html b/userguide/recommend/movielens_fm.html
index 78257b7..3bff761 100644
--- a/userguide/recommend/movielens_fm.html
+++ b/userguide/recommend/movielens_fm.html
@@ -1631,7 +1631,25 @@
     
                                 <section class="normal markdown-section">
                                 
-                                <p><em>Caution: Factorization Machine is supported from Hivemall v0.4 or later.</em></p>
+                                <!--
+  Licensed to the Apache Software Foundation (ASF) under one
+  or more contributor license agreements.  See the NOTICE file
+  distributed with this work for additional information
+  regarding copyright ownership.  The ASF licenses this file
+  to you under the Apache License, Version 2.0 (the
+  "License"); you may not use this file except in compliance
+  with the License.  You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+  Unless required by applicable law or agreed to in writing,
+  software distributed under the License is distributed on an
+  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+  KIND, either express or implied.  See the License for the
+  specific language governing permissions and limitations
+  under the License.
+-->
+<p><em>Caution: Factorization Machine is supported from Hivemall v0.4 or later.</em></p>
 <h1 id="data-preparation">Data preparation</h1>
 <p>First of all, please create <code>ratings</code> table described in the following page: 
 <a href="https://github.com/myui/hivemall/wiki/MovieLens-Dataset" target="_blank">https://github.com/myui/hivemall/wiki/MovieLens-Dataset</a></p>
@@ -1869,6 +1887,10 @@ WITH predicted as (
   testing_fm <span class="hljs-keyword">as</span> t
   <span class="hljs-keyword">JOIN</span> predicted <span class="hljs-keyword">as</span> p <span class="hljs-keyword">on</span> (t.<span class="hljs-keyword">rowid</span> = p.<span class="hljs-keyword">rowid</span>);
 </code></pre>
+<p><div id="page-footer"><hr><p><sub><font color="gray">
+Apache Hivemall is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator.
+</font></sub></p>
+</div></p>
 
                                 
                                 </section>
@@ -1902,7 +1924,7 @@ WITH predicted as (
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
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+            gitbook.page.hasChanged({"page":{"title":"Factorization Machine","level":"8.3.3","depth":2,"next":{"title":"10-fold Cross Validation (Matrix Factorization)","level":"8.3.4","depth":2,"path":"recommend/movielens_cv.md","ref":"recommend/movielens_cv.md","articles":[]},"previous":{"title":"Matrix Factorization","level":"8.3.2","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubato
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/70615026/userguide/recommend/movielens_mf.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/movielens_mf.html b/userguide/recommend/movielens_mf.html
index d6b7719..50f026f 100644
--- a/userguide/recommend/movielens_mf.html
+++ b/userguide/recommend/movielens_mf.html
@@ -1631,7 +1631,25 @@
     
                                 <section class="normal markdown-section">
                                 
-                                <p>This page explains how to run matrix factorization on <a href="https://github.com/myui/hivemall/wiki/MovieLens-Dataset" target="_blank">MovieLens 1M dataset</a>.</p>
+                                <!--
+  Licensed to the Apache Software Foundation (ASF) under one
+  or more contributor license agreements.  See the NOTICE file
+  distributed with this work for additional information
+  regarding copyright ownership.  The ASF licenses this file
+  to you under the Apache License, Version 2.0 (the
+  "License"); you may not use this file except in compliance
+  with the License.  You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+  Unless required by applicable law or agreed to in writing,
+  software distributed under the License is distributed on an
+  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+  KIND, either express or implied.  See the License for the
+  specific language governing permissions and limitations
+  under the License.
+-->
+<p>This page explains how to run matrix factorization on <a href="https://github.com/myui/hivemall/wiki/MovieLens-Dataset" target="_blank">MovieLens 1M dataset</a>.</p>
 <p><em>Caution:</em> Matrix factorization is supported in Hivemall v0.3 or later.</p>
 <h2 id="calculate-the-mean-rating-in-the-training-dataset">Calculate the mean rating in the training dataset</h2>
 <pre><code class="lang-sql"><span class="hljs-keyword">use</span> movielens;
@@ -1776,6 +1794,10 @@
 </tr>
 </tbody>
 </table>
+<p><div id="page-footer"><hr><p><sub><font color="gray">
+Apache Hivemall is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator.
+</font></sub></p>
+</div></p>
 
                                 
                                 </section>
@@ -1809,7 +1831,7 @@
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/70615026/userguide/recommend/news20.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/news20.html b/userguide/recommend/news20.html
index 536cdc7..82e0297 100644
--- a/userguide/recommend/news20.html
+++ b/userguide/recommend/news20.html
@@ -1631,7 +1631,29 @@
     
                                 <section class="normal markdown-section">
                                 
-                                
+                                <!--
+  Licensed to the Apache Software Foundation (ASF) under one
+  or more contributor license agreements.  See the NOTICE file
+  distributed with this work for additional information
+  regarding copyright ownership.  The ASF licenses this file
+  to you under the Apache License, Version 2.0 (the
+  "License"); you may not use this file except in compliance
+  with the License.  You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+  Unless required by applicable law or agreed to in writing,
+  software distributed under the License is distributed on an
+  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+  KIND, either express or implied.  See the License for the
+  specific language governing permissions and limitations
+  under the License.
+-->
+<p><div id="page-footer"><hr><p><sub><font color="gray">
+Apache Hivemall is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator.
+</font></sub></p>
+</div></p>
+
                                 
                                 </section>
                             
@@ -1664,7 +1686,7 @@
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/70615026/userguide/recommend/news20_bbit_minhash.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/news20_bbit_minhash.html b/userguide/recommend/news20_bbit_minhash.html
index 541b167..f8de314 100644
--- a/userguide/recommend/news20_bbit_minhash.html
+++ b/userguide/recommend/news20_bbit_minhash.html
@@ -1631,7 +1631,25 @@
     
                                 <section class="normal markdown-section">
                                 
-                                <h1 id="function-signature-of-bbitminhash">Function Signature of bbit_minhash</h1>
+                                <!--
+  Licensed to the Apache Software Foundation (ASF) under one
+  or more contributor license agreements.  See the NOTICE file
+  distributed with this work for additional information
+  regarding copyright ownership.  The ASF licenses this file
+  to you under the Apache License, Version 2.0 (the
+  "License"); you may not use this file except in compliance
+  with the License.  You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+  Unless required by applicable law or agreed to in writing,
+  software distributed under the License is distributed on an
+  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+  KIND, either express or implied.  See the License for the
+  specific language governing permissions and limitations
+  under the License.
+-->
+<h1 id="function-signature-of-bbitminhash">Function Signature of bbit_minhash</h1>
 <pre><code>Text bbit_minhash(array&lt;int|string&gt; features)
 Text bbit_minhash(array&lt;int|string&gt; features, int numHashes=128)
 Text bbit_minhash(array&lt;int|string&gt; features, boolean discardWeight=false)
@@ -1721,6 +1739,10 @@ Text bbit_minhash(array&lt;int|string&gt; features, int numHashes=128, boolean d
 </tr>
 </tbody>
 </table>
+<p><div id="page-footer"><hr><p><sub><font color="gray">
+Apache Hivemall is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator.
+</font></sub></p>
+</div></p>
 
                                 
                                 </section>
@@ -1754,7 +1776,7 @@ Text bbit_minhash(array&lt;int|string&gt; features, int numHashes=128, boolean d
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/70615026/userguide/recommend/news20_jaccard.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/news20_jaccard.html b/userguide/recommend/news20_jaccard.html
index 2df4c2e..fe5ab71 100644
--- a/userguide/recommend/news20_jaccard.html
+++ b/userguide/recommend/news20_jaccard.html
@@ -1631,7 +1631,25 @@
     
                                 <section class="normal markdown-section">
                                 
-                                <p>List related (similar) articles for each article.</p>
+                                <!--
+  Licensed to the Apache Software Foundation (ASF) under one
+  or more contributor license agreements.  See the NOTICE file
+  distributed with this work for additional information
+  regarding copyright ownership.  The ASF licenses this file
+  to you under the Apache License, Version 2.0 (the
+  "License"); you may not use this file except in compliance
+  with the License.  You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+  Unless required by applicable law or agreed to in writing,
+  software distributed under the License is distributed on an
+  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+  KIND, either express or implied.  See the License for the
+  specific language governing permissions and limitations
+  under the License.
+-->
+<p>List related (similar) articles for each article.</p>
 <h1 id="preparation">Preparation</h1>
 <pre><code class="lang-sql"><span class="hljs-keyword">use</span> news20;
 
@@ -1742,6 +1760,10 @@ source /home/myui/tmp/define-all.hive;
   similarity &gt;= <span class="hljs-number">0.1</span>
 ;
 </code></pre>
+<p><div id="page-footer"><hr><p><sub><font color="gray">
+Apache Hivemall is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator.
+</font></sub></p>
+</div></p>
 
                                 
                                 </section>
@@ -1775,7 +1797,7 @@ source /home/myui/tmp/define-all.hive;
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