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3.5
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2017-03-05
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<h2 id="Vijos"><a href="#Vijos" class="headerlink" title="Vijos"></a>Vijos</h2><p>1130 1307 1316 1389</p>
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3.4
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<time itemprop="dateCreated" datetime="2017-03-05T08:35:43+08:00" content="2017-03-05">
2017-03-05
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<h2 id="sicp"><a href="#sicp" class="headerlink" title="sicp"></a>sicp</h2><p>1.2</p>
<h2 id="SIS"><a href="#SIS" class="headerlink" title="SIS"></a>SIS</h2><p>Spider<br>txt->sql</p>
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3.3
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<time itemprop="dateCreated" datetime="2017-03-04T08:27:40+08:00" content="2017-03-04">
2017-03-04
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<h2 id="java"><a href="#java" class="headerlink" title="java"></a>java</h2><p>99-104 Collection : ArrayList LinkedList</p>
<h2 id="sicp"><a href="#sicp" class="headerlink" title="sicp"></a>sicp</h2><p>1.1</p>
<h2 id="vijos"><a href="#vijos" class="headerlink" title="vijos"></a>vijos</h2><p>递推 P1123 P1409 P1691 </p>
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3.2
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2017-03-03
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<h2 id="java"><a href="#java" class="headerlink" title="java"></a>java</h2><p>59-76</p>
<h2 id="vijos"><a href="#vijos" class="headerlink" title="vijos"></a>vijos</h2><p>P1449 P1335</p>
<p>晚上R了,扎心了</p>
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3.1
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<span class="post-meta-item-text">发表于</span>
<time itemprop="dateCreated" datetime="2017-03-01T19:17:40+08:00" content="2017-03-01">
2017-03-01
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<h2 id="目前状况"><a href="#目前状况" class="headerlink" title="目前状况"></a>目前状况</h2><p>毕设要抓紧了<br>每天白天毕设,晚上java,美滋滋</p>
<h2 id="Neutu并行具体实现"><a href="#Neutu并行具体实现" class="headerlink" title="Neutu并行具体实现"></a>Neutu并行具体实现</h2><p>neutu的工程下文件很多,全部实现怕来不及<br><img src="http://oa4pac8sx.bkt.clouddn.com/2017-03-01%2009:34:24%E5%B1%8F%E5%B9%95%E6%88%AA%E5%9B%BE.png" alt="Alt text"><br>我的想法是保留一些neutu原来的程序,我将其中耗时较多的算法函数使用spark并行实现,然后在执行到这些函数的时候调用spark-submit命令运行调用对应的算法函数,在把结果返回给neutu程序.</p>
<h2 id="简单的demo"><a href="#简单的demo" class="headerlink" title="简单的demo"></a>简单的demo</h2><p><img src="http://oa4pac8sx.bkt.clouddn.com/2017-03-01%2009:51:22%E5%B1%8F%E5%B9%95%E6%88%AA%E5%9B%BE.png" alt="Alt text"></p>
<h2 id="种子点计算"><a href="#种子点计算" class="headerlink" title="种子点计算"></a>种子点计算</h2><p>runComputeSeed (zcommandine)</p>
<p>readDvidStack<br>computeSeedPosition<br>CreateSwc,save</p>
<p>computeSeedPosition (zneurontracer)<br>extractSeed 提取种子点,返回种子点个数,坐标,权重</p>
<h2 id="java"><a href="#java" class="headerlink" title="java "></a>java </h2><p>1-58 ok!</p>
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<h1 class="post-title" itemprop="name headline">
<a class="post-title-link" href="/2016/10/20/实现一个搜索引擎/" itemprop="url">
实现一个搜索引擎
</a>
</h1>
<div class="post-meta">
<span class="post-time">
<span class="post-meta-item-icon">
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<span class="post-meta-item-text">发表于</span>
<time itemprop="dateCreated" datetime="2016-10-20T16:38:07+08:00" content="2016-10-20">
2016-10-20
</time>
</span>
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<h2 id="10-20"><a href="#10-20" class="headerlink" title="10.20"></a>10.20</h2><h2 id="想法"><a href="#想法" class="headerlink" title="想法"></a>想法</h2><p>看了《数学之美》一书中关于搜索引擎的讲解，萌生一个想法，自己做一个电影搜索引擎，开车。<br></p>
<h2 id="脑洞"><a href="#脑洞" class="headerlink" title="脑洞"></a>脑洞</h2><ol>
<li>爬虫，下载下来sis001的数据，尽可能全面，</li>
<li>存储在数据库中</li>
<li>建立有效的索引</li>
<li>根据相关性做公平的排序</li>
<li>输出结果中要列出对应电影的封面，种子,中文翻译</li>
<li>对已有的电影数据做分类聚类分析挖掘，文本处理，基于封面，公司，艺人</li>
<li>做统计，可视化</li>
<li>每隔一段时间做一次运算，加入新发布的电影，根据以往喜欢的做推荐算法，好的推送给我</li>
<li>根据下载量，浏览量，评论做分析，选出最屌的公司，电影，艺人</li>
<li>PC端，命令行</li>
<li>加一个前端，服务器使用tomcat</li>
<li>租用服务器，域名，挂在租的服务器上面，正式开车</li>
<li>流式计算，实时检测</li>
<li>重构移植到分布式计算平台</li>
<li>深度学习做去马赛克补丁</li>
<li>PC软件</li>
<li>安卓端</li>
</ol>
<h2 id="搜集资料"><a href="#搜集资料" class="headerlink" title="搜集资料"></a>搜集资料</h2><p>《数学之美》<br>java 搜索引擎<br><a href="http://www.ibm.com/developerworks/cn/java/j-lo-dyse1/index.html" target="_blank" rel="external">http://www.ibm.com/developerworks/cn/java/j-lo-dyse1/index.html</a><br>Go 搜索引擎<br><a href="http://blog.csdn.net/ygrx/article/details/51105225#t2" target="_blank" rel="external">http://blog.csdn.net/ygrx/article/details/51105225#t2</a><br>理论文章<br><a href="http://infolab.stanford.edu/~backrub/google.html" target="_blank" rel="external">http://infolab.stanford.edu/~backrub/google.html</a><br>scrapy+Lucene搭建小型搜索引擎(现代信息检索大作业)<br><a href="http://blog.csdn.net/napoay/article/details/51477586" target="_blank" rel="external">http://blog.csdn.net/napoay/article/details/51477586</a></p>
<h2 id="第一步-爬虫"><a href="#第一步-爬虫" class="headerlink" title="第一步-爬虫"></a>第一步-爬虫</h2><p>1.BFS or DFS<br>有限时间爬去尽量多，BFS优秀，但是考虑爬虫的分布式结构和网络通信握手成本，下载完一个网站在下载另外一个网站，所以BFS+DFS。<br>实际大型的爬虫是一个相对复杂的下载优先级排序算法，通过调度算法，决定下载顺序，已经发现的存在一个优先队列中。<br><a href="http://67.220.92.23/forum/index.php，做BFS" target="_blank" rel="external">http://67.220.92.23/forum/index.php，做BFS</a><br>2.页面的分析和URL提取<br>很多网页不仅仅是html，还有javascript等脚本语言动态生成，URL并不是直接可见的文本。<br>准备使用Scrapy这个Python开发的一个快速,高层次的屏幕抓取和web抓取框架，用于抓取web站点并从页面中提取结构化的数据。<br>结果以json文件的形式保存。<br>{<br> “ID” : “”,<br> “Name” : “”,<br> “Company” : “”,<br> “Actor” : [,,,],<br> “Comment” : [,,,],<br> “Cover” : “URL”<br>}<br>3.记录哪些网站下载过的小本本–URL表<br>散列，好处是效率高，平均只需要一次查找的时间，或者略多一点，堕胎下载服务器维护多张表还存在别的问题，暂时先不考虑。<br>scrapy文档<br><a href="http://scrapy-chs.readthedocs.io/zh_CN/1.0/intro/overview.html" target="_blank" rel="external">http://scrapy-chs.readthedocs.io/zh_CN/1.0/intro/overview.html</a></p>
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亵渎补奸计划
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<h2 id="10-18"><a href="#10-18" class="headerlink" title="10.18"></a>10.18</h2><p>想做点什么，想了一晚上，把我最喜欢的小说《亵渎》弄一下吧，就叫它”亵渎补奸计划”。<br></p>
<p>1.使用python模块jieba做分词<br><br>2.词频统计<br><br>3.得到小说中出现概率最高的几个词<br><br>4.搭配另一个模块WorldCloud，作词云标签<br><br>5.载入一张图片，把它做成二维数组，载入词云<br><br>6.以××照片为词云背景<br></p>
<h2 id="10-19"><a href="#10-19" class="headerlink" title="10.19"></a>10.19</h2><p>把第一章跑了一下：</p>
<p>WordCount 统计词频，打印到文本中<br><img src="http://oa4pac8sx.bkt.clouddn.com/2016-10-19%2021:25:38%E5%B1%8F%E5%B9%95%E6%88%AA%E5%9B%BE.png" alt="enter image description here"><br>WordCloudSquere 输出词云<br><img src="http://oa4pac8sx.bkt.clouddn.com/Squere.jpg" alt="enter image description here"><br>WordCloudPlot 以图片位模板输出<br><img src="http://oa4pac8sx.bkt.clouddn.com/Mask.jpg" alt="enter image description here"></p>
<h2 id="10-20"><a href="#10-20" class="headerlink" title="10.20"></a>10.20</h2><p>但是仅仅这样存在一些问题，很多没有用的词占了很大部分：<br><img src="http://oa4pac8sx.bkt.clouddn.com/12333.png" alt="enter image description here"><br>所以词性做一下筛选，使用jieba.posseg，第一次去掉很多词性，发现还是有很多不科学的东东，然后保留名词动词，会，说。。。很多也应该去掉，最后干脆只保留名词，效果还不错。<br><img src="http://oa4pac8sx.bkt.clouddn.com/12334.png" alt="enter image description here"><br><img src="http://oa4pac8sx.bkt.clouddn.com/Squere2.jpg" alt="enter image description here"><br><img src="http://oa4pac8sx.bkt.clouddn.com/Mask2.jpg" alt="enter image description here"></p>
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