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fix_cli_for_fsdb_make_v1a
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gnosygnu
@@ -114,7 +114,7 @@
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</h3>
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<ul>
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<li>
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<b>Searches sort by page score</b>: By convention, XOWA scores every page with percentile ranking ("graded curve") from 0 to 1,000,000. Page score is based on <a href="/site/en.wikipedia.org/wiki/PageRank">https://en.wikipedia.org/wiki/PageRank</a> . In short, a page has a high page score if there are many pages linking to it. For more info, see <a href="/wiki/App/Search/Score" id="xolnki_5" title="App/Search/Score">App/Search/Score</a>
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<b>Searches sort by page score</b>: By convention, XOWA scores every page with percentile ranking ("graded curve") from 0 to 1,000,000. Page score is based on <a href="https://en.wikipedia.org/wiki/PageRank" rel="nofollow" class="external free">https://en.wikipedia.org/wiki/PageRank</a> . In short, a page has a high page score if there are many pages linking to it. For more info, see <a href="/wiki/App/Search/Score" id="xolnki_5" title="App/Search/Score">App/Search/Score</a>
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</li>
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<li>
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<b>Searches find a page that matches the text and list it as the first result</b>: For example, searching for "earth" will automatically find the page "Earth" and list it as the first result, regardless of its score. (Technically, this entry is assigned a temporary score of 3,000,000)
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@@ -65,10 +65,10 @@
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</p>
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<ul>
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<li>
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A <a href="/site/en.wikipedia.org/wiki/PageRank">PageRank</a> score is calculated for a page. This score is <a href="/site/en.wikipedia.org/wiki/Feature_scaling">scaled</a> from 0 to 1,000,000
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A <a href="https://en.wikipedia.org/wiki/PageRank" rel="nofollow" class="external text">PageRank</a> score is calculated for a page. This score is <a href="https://en.wikipedia.org/wiki/Feature_scaling" rel="nofollow" class="external text">scaled</a> from 0 to 1,000,000
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</li>
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<li>
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A page-length score is then calculated for the page. This score is <a href="/site/en.wikipedia.org/wiki/Percentile_rank">ranked</a> from 0 to 1,000,000
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A page-length score is then calculated for the page. This score is <a href="https://en.wikipedia.org/wiki/Percentile_rank" rel="nofollow" class="external text">ranked</a> from 0 to 1,000,000
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</li>
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<li>
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The PageRank score is then multiplied by a ratio if it has a low page-length score
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@@ -90,7 +90,7 @@
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<span class="mw-headline" id="Scaling">Scaling</span>
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</h3>
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<p>
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A simplified definition of scaling is converting a number from one range to another range based on proportion. For a more thorough definition, see <a href="/site/en.wikipedia.org/wiki/Feature_scaling">the Wikipedia page on feature scaling</a>
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A simplified definition of scaling is converting a number from one range to another range based on proportion. For a more thorough definition, see <a href="https://en.wikipedia.org/wiki/Feature_scaling" rel="nofollow" class="external text">the Wikipedia page on feature scaling</a>
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</p>
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<p>
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For example, let's say you have a score of 100 in a range of 0 to 400 and want to scale it to 0 to 1000. The following steps would be involved:
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@@ -123,7 +123,7 @@ newScore = \frac{oldScore - \text{min}(oldRange)} {\text{max}(oldRange)-\text{mi
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<span class="mw-headline" id="Ranking">Ranking</span>
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</h3>
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<p>
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A simplified definition of ranking is assigning a number based on its order in a population of numbers. For those familiar with a school setting, this is "grading on a curve". For a more thorough definition, see <a href="/site/en.wikipedia.org/wiki/Percentile_rank">the Wikipedia page on percentile ranks</a>
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A simplified definition of ranking is assigning a number based on its order in a population of numbers. For those familiar with a school setting, this is "grading on a curve". For a more thorough definition, see <a href="https://en.wikipedia.org/wiki/Percentile_rank" rel="nofollow" class="external text">the Wikipedia page on percentile ranks</a>
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</p>
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<p>
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For example, let's say you have the following:
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@@ -219,7 +219,7 @@ newScore = \frac{oldScore - \text{min}(oldRange)} {\text{max}(oldRange)-\text{mi
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<span class="mw-headline" id="PageRank">PageRank</span>
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</h3>
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<p>
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The basis of XOWA's page score is <a href="/site/en.wikipedia.org/wiki/PageRank">PageRank</a>.
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The basis of XOWA's page score is <a href="https://en.wikipedia.org/wiki/PageRank" rel="nofollow" class="external text">PageRank</a>.
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</p>
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<p>
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In brief, PageRank will give high scores to pages which are:
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@@ -233,7 +233,7 @@ newScore = \frac{oldScore - \text{min}(oldRange)} {\text{max}(oldRange)-\text{mi
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</li>
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</ol>
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<p>
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Note that #2 is recursive (a page will have a high score only if it is linked to by many pages). For more info, a good starting point is <a href="/site/en.wikipedia.org/wiki/PageRank">the Wikipedia page on PageRank</a>.
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Note that #2 is recursive (a page will have a high score only if it is linked to by many pages). For more info, a good starting point is <a href="https://en.wikipedia.org/wiki/PageRank" rel="nofollow" class="external text">the Wikipedia page on PageRank</a>.
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</p>
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<p>
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After XOWA calculates the PageRank, XOWA then scales this score in a range of 0 to 1,000,000
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@@ -59,13 +59,13 @@
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For example, after searching for Earth, the url string will read:
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</p>
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<p>
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<code><a href="/site/en.wikipedia.org/wiki/Special:Allpages?from=Earth&namespace=0&hideredirects=0">http://en.wikipedia.org/wiki/Special:Allpages?from=Earth&namespace=0&hideredirects=0</a></code>
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<code><a href="http://en.wikipedia.org/wiki/Special:Allpages?from=Earth&namespace=0&hideredirects=0" rel="nofollow" class="external free">http://en.wikipedia.org/wiki/Special:Allpages?from=Earth&namespace=0&hideredirects=0</a></code>
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</p>
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<p>
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If you want to hide redirects, change this to:
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</p>
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<p>
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<code><a href="/site/en.wikipedia.org/wiki/Special:Allpages?from=Earth&namespace=0&hideredirects=">http://en.wikipedia.org/wiki/Special:Allpages?from=Earth&namespace=0&hideredirects=</a><span style="color:red;">1</span></code>
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<code><a href="http://en.wikipedia.org/wiki/Special:Allpages?from=Earth&namespace=0&hideredirects=" rel="nofollow" class="external free">http://en.wikipedia.org/wiki/Special:Allpages?from=Earth&namespace=0&hideredirects=</a><span style="color:red;">1</span></code>
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</p>
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<p>
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If you want to search in a different namespace, you have two options
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