第六届“泰迪杯”数据挖掘挑战赛- B 题：电视产品的营销推荐 28.65MB

GintokiShogun需要积分:10(1积分=1元)

资源文件列表:

综合实验.zip 大约有20个文件

综合实验/1基于KNN算法和RFM模型的电视产品营销策略研究.docx 2.38MB
综合实验/代码文件/
综合实验/代码文件/代码文件.ipynb 1.22MB
综合实验/实验数据/
综合实验/实验数据/表1：1用户回看信息预处理.csv 1.67MB
综合实验/实验数据/表2：1用户收视信息预处理.csv 24.55MB
综合实验/实验数据/表3：1用户点播信息预处理.csv 43.75KB
综合实验/实验数据/表4：1稀疏矩阵指标.csv 4.5MB
综合实验/实验数据/表5：2RFM模型.csv 1.22KB
综合实验/实验数据/表6：2用户相似度商品推荐指标预处理.csv 4.85KB
综合实验/实验数据/表7：2用户相似度商品推荐指标.csv 10.53KB
综合实验/实验数据/表8：2用户分类.csv 4.5KB
综合实验/实验数据/表9：2商品推荐(同时存在于附件三及点播付费表中的用户).csv 17.59KB
综合实验/原始数据与题目要求/
综合实验/原始数据与题目要求/参考答案2.pdf 1001.56KB
综合实验/原始数据与题目要求/参考解答.pdf 1.29MB
综合实验/原始数据与题目要求/附件1：用户收视信息.xlsx 18.17MB
综合实验/原始数据与题目要求/附件2：电视产品信息数据.csv 8.41MB
综合实验/原始数据与题目要求/附件3：用户基本信息.csv 201.45KB
综合实验/原始数据与题目要求/基于协同过滤的电视产品个性化推荐.pdf 221.15KB

资源介绍:

第六届“泰迪杯”数据挖掘挑战赛—— B 题：电视产品的营销推荐资源内包含题目要求及原始数据、本人自己做的解题代码、使用的数据、实验论文适合备战“泰迪杯”类型的数据挖掘类比赛的本科生进行学习能学到数据处理的基本方法以及物联网数据分析的相关知识

<link href="/image.php?url=https://csdnimg.cn/release/download_crawler_static/css/base.min.css" rel="stylesheet"/><link href="/image.php?url=https://csdnimg.cn/release/download_crawler_static/css/fancy.min.css" rel="stylesheet"/><link href="/image.php?url=https://csdnimg.cn/release/download_crawler_static/89763175/raw.css" rel="stylesheet"/><div id="sidebar" style="display: none"><div id="outline"></div></div><div class="pf w0 h0" data-page-no="1" id="pf1"><div class="pc pc1 w0 h0"><img alt="" class="bi x0 y0 w1 h1" src="/image.php?url=https://csdnimg.cn/release/download_crawler_static/89763175/bg1.jpg"/><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">第<span class="ff2">六</span></div><div class="t m0 x2 h2 y2 ff1 fs0 fc0 sc0 ls0 ws0">届<span class="ff3">“</span>泰迪杯<span class="ff3">”</span></div><div class="t m0 x3 h2 y3 ff1 fs0 fc0 sc0 ls1 ws0">数<span class="ls2">据</span></div><div class="t m0 x4 h2 y4 ff1 fs0 fc0 sc0 ls1 ws0">挖<span class="ls3">掘</span>挑<span class="ls2">战<span class="ls0">赛</span></span></div><div class="t m0 x5 h3 y5 ff1 fs1 fc0 sc0 ls0 ws0">优</div><div class="t m0 x5 h3 y6 ff1 fs1 fc0 sc0 ls0 ws0">秀</div><div class="t m0 x6 h2 y7 ff1 fs0 fc0 sc0 ls0 ws0">作</div><div class="t m0 x6 h2 y8 ff1 fs0 fc0 sc0 ls0 ws0">品</div><div class="t m0 x7 h4 y9 ff4 fs2 fc0 sc0 ls0 ws0">作品名称：<span class="ff5">基于收视记录的电视产品营销及用户画像</span></div><div class="t m0 x7 h4 ya ff4 fs2 fc0 sc0 ls0 ws0">荣获奖项：<span class="ff6">一</span>等并获<span class="ff6">信诺创新奖</span></div><div class="t m0 x7 h4 yb ff4 fs2 fc0 sc0 ls0 ws0">作品单位：<span class="ff6">河海大学</span></div><div class="t m0 x7 h4 yc ff4 fs2 fc0 sc0 ls0 ws0">作品成员：<span class="ff6">方思越钟雨纯杨洋</span></div><div class="t m0 x7 h4 yd ff4 fs2 fc0 sc0 ls0 ws0">指导老师：<span class="ff6">施国良</span></div><div class="c x8 ye w2 h5"><div class="t m1 x9 h6 yf ff7 fs3 fc0 sc0 ls0 ws0"><span class="fc1 sc0">“泰迪杯”挑战赛优秀作品</span></div></div></div><div class="pi" data-data='{"ctm":[1.611792,0.000000,0.000000,1.611792,0.000000,0.000000]}'></div></div><div id="pf2" class="pf w3 h7" data-page-no="2"><div class="pc pc2 w3 h7"><img class="bi x0 y0 w1 h1" alt="" src="/image.php?url=https://csdnimg.cn/release/download_crawler_static/89763175/bg2.jpg"><div class="t m0 xa h8 y10 ff8 fs4 fc0 sc1 ls0 ws0">基于收视<span class="_ _0"></span>记录的电<span class="_ _0"></span>视产品营销<span class="_ _0"></span>及用户画<span class="_ _0"></span>像<span class="ff9"> </span></div><div class="t m0 xb h9 y11 ffa fs5 fc0 sc1 ls4 ws0">摘要<span class="ls0">：<span class="_ _1"></span><span class="sc0">三网融合的背景下，<span class="_ _1"></span>一方面越来越多的家庭对机顶盒电视实际上有了</span></span></div><div class="t m0 xc h9 y12 ffa fs5 fc0 sc0 ls0 ws0">更高的需求，<span class="_ _2"></span>希望快速获得目标资源；<span class="_ _2"></span>另一方面，<span class="_ _2"></span>电视服务供应商也希望有效挖</div><div class="t m0 xc h9 y13 ffa fs5 fc0 sc0 ls0 ws0">掘出用户需要和感兴趣的资源、<span class="_ _2"></span>信息，<span class="_ _2"></span>实现大数据分析，<span class="_ _2"></span>形成个性化的产品营销</div><div class="t m0 xc h9 y14 ffa fs5 fc0 sc0 ls0 ws0">及有偿服务。<span class="ffb"> </span></div><div class="t m0 xb h9 y15 ffa fs5 fc0 sc0 ls0 ws0">该论文基于用户收视信息、<span class="_ _1"></span>产品信息及用户套餐数据，<span class="_ _1"></span>利用协同过滤及分类</div><div class="t m0 xc h9 y16 ffa fs5 fc0 sc0 ls0 ws0">的思想，先为用户做产品推荐，再进行分类推荐，并对套餐设置提出建议。<span class="ffb"> </span></div><div class="t m0 xb h9 y17 ffa fs5 fc0 sc0 ls0 ws0">首先对数据进行预处理，<span class="_ _2"></span>对数据进行清洗、<span class="_ _2"></span>转换，<span class="_ _2"></span>利用爬虫捕捉网络数据进</div><div class="t m0 xc h9 y18 ffa fs5 fc0 sc0 ls0 ws0">行数据补充。<span class="ffb"> </span></div><div class="t m0 xb h9 y19 ffa fs5 fc0 sc0 ls0 ws0">对于第一题，<span class="_ _3"></span>主要使用<span class="_ _3"></span>“用户点播信息”<span class="_ _3"></span>与<span class="_ _3"></span>“<span class="_ _0"></span>用户单片点播信息”<span class="_ _3"></span>表，<span class="_ _3"></span>基于</div><div class="t m0 xc h9 y1a ffa fs5 fc0 sc0 ls0 ws0">用户的协同过滤与基于电视产品的协同过滤相结合，为用户推荐电视产品。<span class="ffb"> </span></div><div class="t m0 xb h9 y1b ffa fs5 fc0 sc0 ls0 ws0">对于第二题，<span class="_ _1"></span>在第一题的基础上结合三个附件，<span class="_ _1"></span>构建用户标签体系与产品标</div><div class="t m0 xc h9 y1c ffa fs5 fc0 sc0 ls0 ws0">签体系，按照标签体系<span class="_ _0"></span>对用户和产品进行分类<span class="_ _0"></span>，利用分类后的用户<span class="_ _0"></span><span class="ffb">-</span>产品类别矩</div><div class="t m0 xc h9 y1d ffa fs5 fc0 sc0 ls0 ws0">阵再次进行协同过滤，实现分类推荐。<span class="ffb"> </span></div><div class="t m0 xb h9 y1e ffa fs5 fc0 sc0 ls0 ws0">分析现有套餐设置结构，<span class="_ _1"></span>并对套餐的销售品字段进行拆分。<span class="_ _1"></span>利用套餐拆分后</div><div class="t m0 xc h9 y1f ffa fs5 fc0 sc0 ls0 ws0">的结果和用户画像的结果进行关联规则，<span class="_ _4"></span>发现不同用户画像与套餐内容之间的规</div><div class="t m0 xc h9 y20 ffa fs5 fc0 sc0 ls0 ws0">律，为套餐推荐提出建议。<span class="ffb"> </span></div><div class="t m0 xb h9 y21 ffa fs5 fc0 sc0 ls0 ws0">文章最后对此次实验做出总结，浅谈收获并对未来做出展望。<span class="ffb"> </span></div><div class="t m0 xb h9 y22 ffc fs5 fc0 sc1 ls0 ws0">关键词：<span class="_ _0"></span><span class="ffb sc0">Excel<span class="ffa">；协同过滤；爬虫；</span>Python </span></div><div class="c x8 y23 w2 h5"><div class="t m1 x9 h6 yf ff7 fs3 fc0 sc0 ls0 ws0"><span class="fc1 sc0">“泰迪杯”挑战赛优秀作品</span></div></div></div><div class="pi" data-data='{"ctm":[1.611792,0.000000,0.000000,1.611792,0.000000,0.000000]}'></div></div><div id="pf3" class="pf w3 h7" data-page-no="3"><div class="pc pc3 w3 h7"><img class="bi x0 y0 w1 h1" alt="" src="/image.php?url=https://csdnimg.cn/release/download_crawler_static/89763175/bg3.jpg"><div class="t m0 xd ha y24 ff9 fs6 fc0 sc0 ls0 ws0"> </div><div class="t m0 xe ha y25 ff9 fs6 fc0 sc0 ls0 ws0"> </div><div class="t m0 xf hb y26 ffd fs4 fc0 sc0 ls0 ws0">T<span class="_ _2"></span>elevision Pr<span class="_ _5"></span>oduct Recommendations and User<span class="_ _5"></span> </div><div class="t m0 x10 hb y27 ffd fs4 fc0 sc0 ls0 ws0">Portraits Based on V<span class="_ _3"></span>iewing History </div><div class="t m0 x11 hc y11 ffd fs5 fc0 sc0 ls0 ws0">Abstract: <span class="_ _6"></span><span class="ffe">In <span class="_ _6"></span>the <span class="_ _7"></span>integration <span class="_ _7"></span>of <span class="_ _6"></span>three <span class="_ _7"></span>networks<span class="_ _0"></span> <span class="_ _7"></span>age, <span class="_ _6"></span>on <span class="_ _7"></span>the <span class="_ _6"></span>one <span class="_ _6"></span>hand, <span class="_ _7"></span>mo<span class="_ _0"></span>re <span class="_ _7"></span>and </span></div><div class="t m0 xc hd y28 ffe fs5 fc0 sc0 ls0 ws0">more families actually have higher demand for set-top TVs and hope to qui<span class="_ _0"></span>ckly obtai<span class="ls4">n </span></div><div class="t m0 xc hd y29 ffe fs5 fc0 sc0 ls0 ws0">targ<span class="_ _5"></span>et <span class="_ _8"></span>resources; <span class="_ _8"></span>on <span class="_ _8"></span>the <span class="_ _8"></span>other <span class="_ _0"></span>hand, <span class="_ _8"></span>TV <span class="_ _8"></span>service <span class="_ _0"></span>p<span class="_ _0"></span>roviders <span class="_ _8"></span>also <span class="_ _8"></span>hope <span class="_ _8"></span>to <span class="_ _0"></span>effectively <span class="_ _8"></span>tap </div><div class="t m0 xc hd y2a ffe fs5 fc0 sc0 ls0 ws0">user <span class="_"> </span>needs <span class="_ _9"> </span>and <span class="_"> </span>senses. <span class="_ _9"> </span>Resources <span class="_ _9"> </span>and <span class="_"> </span>information <span class="_ _9"> </span>of <span class="_"> </span>int<span class="_ _0"></span>erest, <span class="_"> </span>realizing <span class="_"> </span>big <span class="_"> </span>dat<span class="_ _0"></span>a </div><div class="t m0 xc hd y2b ffe fs5 fc0 sc0 ls0 ws0">analysis, and forming personalized product marke<span class="_ _5"></span>ting and paid services.<span class="_ _0"></span> </div><div class="t m0 x11 hd y2c ffe fs5 fc0 sc0 ls0 ws0">This <span class="_ _0"></span>paper <span class="_ _0"></span>is <span class="_ _0"></span>based <span class="_ _0"></span>on <span class="_ _0"></span>user <span class="_ _0"></span>viewing <span class="_ _0"></span>history <span class="_ _0"></span>information, <span class="_ _0"></span>product <span class="_ _0"></span>information <span class="_ _0"></span>and </div><div class="t m0 xc hd y2d ffe fs5 fc0 sc0 ls0 ws0">user <span class="_ _0"></span>package data. <span class="_ _8"></span>I<span class="_ _5"></span>t <span class="_ _0"></span>uses <span class="_ _0"></span>the <span class="_ _0"></span>idea <span class="_ _0"></span>of <span class="_ _0"></span>collaborative filtering <span class="_ _0"></span>and <span class="_ _0"></span>classification <span class="_ _8"></span>to make </div><div class="t m0 xc hd y2e ffe fs5 fc0 sc0 ls0 ws0">product <span class="_ _a"> </span>recommendations <span class="_ _a"> </span>for <span class="_ _a"> </span>users <span class="_ _a"> </span>first, <span class="_ _a"> </span>and <span class="_ _a"> </span>then <span class="_ _a"> </span>makes <span class="_ _a"> </span>recommendations <span class="_ _a"> </span>for </div><div class="t m0 xc hd y2f ffe fs5 fc0 sc0 ls0 ws0">categorized users. <span class="_ _3"></span>Also, we make suggestions for package settings.<span class="_ _0"></span> </div><div class="t m0 x11 hd y30 ffe fs5 fc0 sc0 ls0 ws0">First, <span class="_ _0"></span>the <span class="_ _0"></span>data <span class="_ _8"></span>is <span class="_ _0"></span>preprocessed. <span class="_ _0"></span>The <span class="_ _0"></span>data <span class="_ _8"></span>is <span class="_ _0"></span>cleaned <span class="_ _0"></span>and <span class="_ _0"></span>converted, <span class="_ _0"></span>and <span class="_ _8"></span>we <span class="_ _0"></span>use <span class="_ _0"></span>the </div><div class="t m0 xc hd y31 ffe fs5 fc0 sc0 ls0 ws0">crawler captures network data to supplement the data. </div><div class="t m0 x11 hd y32 ffe fs5 fc0 sc0 ls0 ws0">For <span class="_ _8"></span>the <span class="_ _8"></span>first <span class="_ _b"></span>question, <span class="_ _8"></span>the <span class="_ _b"></span>last <span class="_ _8"></span>two <span class="_ _b"></span>sheets <span class="_ _8"></span>in <span class="_ _b"></span>the <span class="_ _8"></span>first <span class="_ _b"></span>annex <span class="_ _b"></span>are <span class="_ _8"></span>mainly <span class="_ _8"></span>us<span class="_ _0"></span>ed, <span class="_ _8"></span>and </div><div class="t m0 xc hd y33 ffe fs5 fc0 sc0 ls0 ws0">user<span class="_ _5"></span>-based <span class="_ _c"> </span>collaborative <span class="_ _c"> </span>filtering <span class="_ _c"> </span>is <span class="_ _c"> </span>combined <span class="_ _c"> </span>with <span class="_ _d"> </span>collaborative <span class="_ _c"> </span>filtering <span class="_ _c"> </span>based <span class="_ _c"> </span>on </div><div class="t m0 xc hd y34 ffe fs5 fc0 sc0 ls0 ws0">television products to recommend television products for user<span class="_ _5"></span>s.<span class="_ _0"></span> </div><div class="t m0 x11 hd y35 ffe fs5 fc0 sc0 ls0 ws0">For <span class="_ _8"></span>the <span class="_ _b"></span>second <span class="_ _8"></span>question,<span class="_ _0"></span> <span class="_ _8"></span>our <span class="_ _8"></span>method <span class="_ _b"></span>is <span class="_ _b"></span>based <span class="_ _b"></span>on <span class="_ _b"></span>the <span class="_ _8"></span>results <span class="_ _b"></span>of <span class="_ _8"></span>the <span class="_ _b"></span>first <span class="_ _8"></span>q<span class="_ _0"></span>uestion </div><div class="t m0 xc hd y36 ffe fs5 fc0 sc0 ls0 ws0">and <span class="_ _6"></span>the <span class="_ _6"></span>three <span class="_ _7"></span>attachment<span class="_ _0"></span>s <span class="_ _6"></span>were <span class="_ _7"></span>combined <span class="_ _6"></span>to <span class="_ _6"></span>build <span class="_ _6"></span>a <span class="_ _6"></span>user <span class="_ _6"></span>tag <span class="_ _6"></span>system <span class="_ _7"></span>and<span class="_ _0"></span> <span class="_ _6"></span>a <span class="_ _6"></span>product </div><div class="t m0 xc hd y37 ffe fs5 fc0 sc0 ls0 ws0">labeling <span class="_ _8"></span>system. <span class="_ _8"></span>The <span class="_ _8"></span>us<span class="_ _0"></span>ers <span class="_ _8"></span>and <span class="_ _b"></span>products <span class="_ _8"></span>were <span class="_ _8"></span>cl<span class="_ _0"></span>assified <span class="_ _8"></span>according <span class="_ _8"></span>to <span class="_ _8"></span>the <span class="_ _b"></span>tag <span class="_ _8"></span>s<span class="_ _0"></span>ystem, </div><div class="t m0 xc hd y38 ffe fs5 fc0 sc0 ls0 ws0">and <span class="_ _a"> </span>the <span class="_ _a"> </span>classifie<span class="_ _5"></span>d <span class="_ _a"> </span>user-product <span class="_ _a"> </span>ca<span class="_ _5"></span>tegor<span class="_ _0"></span>y<span class="_ _5"></span> <span class="_ _a"> </span>matrix <span class="_ _a"> </span>was <span class="_ _a"> </span>used <span class="_ _a"> </span>a<span class="_ _5"></span>gain. <span class="_ _a"> </span>W<span class="_ _3"></span>e <span class="_ _a"> </span>again <span class="_ _e"> </span>use </div><div class="t m0 xc hd y39 ffe fs5 fc0 sc0 ls0 ws0">collaborative filtering to achieve classification recommendations. </div><div class="t m0 x11 hd y3a ffe fs5 fc0 sc0 ls0 ws0">Analyze <span class="_ _8"></span>the <span class="_ _8"></span>existing <span class="_ _8"></span>package <span class="_ _b"></span>setup <span class="_ _8"></span>structure <span class="_ _8"></span>and <span class="_ _b"></span>split <span class="_ _b"></span>the <span class="_ _8"></span>sales <span class="_ _8"></span>item <span class="_ _b"></span>field <span class="_ _8"></span>of <span class="_ _8"></span>the </div><div class="t m0 xc hd y3b ffe fs5 fc0 sc0 ls0 ws0">package. <span class="_ _b"></span>Usin<span class="_ _0"></span>g <span class="_ _b"></span>the <span class="_ _7"></span>result <span class="_ _7"></span>of <span class="_ _b"></span>the <span class="_ _7"></span>splitt<span class="_ _0"></span>ing <span class="_ _b"></span>of <span class="_ _7"></span>the <span class="_ _7"></span>package <span class="_ _b"></span>and <span class="_ _7"></span>the <span class="_ _7"></span>result <span class="_ _7"></span>of <span class="_ _7"></span>the <span class="_ _7"></span>user's </div><div class="t m0 xc hd y3c ffe fs5 fc0 sc0 ls0 ws0">portrait, <span class="_ _8"></span>the <span class="_ _8"></span>association <span class="_ _8"></span>rule <span class="_ _8"></span>is <span class="_ _8"></span>found, <span class="_ _8"></span>and <span class="_ _8"></span>the<span class="_ _0"></span> <span class="_ _8"></span>rules <span class="_ _8"></span>between <span class="_ _8"></span>the <span class="_ _8"></span>portraits <span class="_ _b"></span>of <span class="_ _8"></span>differe<span class="_ _5"></span>nt </div><div class="t m0 xc hd y3d ffe fs5 fc0 sc0 ls0 ws0">users <span class="_ _6"></span>and <span class="_ _6"></span>the <span class="_ _6"></span>contents <span class="_ _6"></span>of <span class="_ _6"></span>the <span class="_ _6"></span>pa<span class="_ _0"></span>ckage <span class="_ _7"></span>ar<span class="_ _0"></span>e <span class="_ _7"></span>found,<span class="_ _0"></span> <span class="_ _6"></span>and <span class="_ _6"></span>suggestions <span class="_ _6"></span>are <span class="_ _6"></span>given <span class="_ _6"></span>for <span class="_ _6"></span>the </div><div class="t m0 xc hd y3e ffe fs5 fc0 sc0 ls0 ws0">package recommendation. </div><div class="t m0 x11 hd y3f ffe fs5 fc0 sc0 ls0 ws0">At <span class="_ _8"></span>the <span class="_ _b"></span>end <span class="_ _8"></span>of <span class="_ _b"></span>the <span class="_ _8"></span>article, <span class="_ _b"></span>a <span class="_ _8"></span>summar<span class="_ _0"></span>y <span class="_ _8"></span>of <span class="_ _8"></span>this <span class="_ _b"></span>experiment <span class="_ _8"></span>is <span class="_ _b"></span>given, <span class="_ _8"></span>which <span class="_ _b"></span>is <span class="_ _b"></span>about </div><div class="t m0 xc hd y40 ffe fs5 fc0 sc0 ls0 ws0">harvesting and looking forward to the future. </div><div class="t m0 xb hc y41 ffd fs5 fc0 sc0 ls0 ws0">Key words: <span class="ffe">Excel;<span class="ff9"> </span>Collaborative filtering; <span class="_ _5"></span>W<span class="_ _3"></span>eb crawler<span class="_ _5"></span>; P<span class="_ _0"></span>ython<span class="ffb"> </span></span></div><div class="c x8 y23 w2 h5"><div class="t m1 x9 h6 yf ff7 fs3 fc0 sc0 ls0 ws0"><span class="fc1 sc0">“泰迪杯”挑战赛优秀作品</span></div></div></div><div class="pi" data-data='{"ctm":[1.611792,0.000000,0.000000,1.611792,0.000000,0.000000]}'></div></div><div id="pf4" class="pf w3 h7" data-page-no="4"><div class="pc pc4 w3 h7"><img class="bi x0 y0 w1 h1" alt="" src="/image.php?url=https://csdnimg.cn/release/download_crawler_static/89763175/bg4.jpg"><div class="t m0 xd ha y24 ff9 fs6 fc0 sc0 ls0 ws0"> </div><div class="t m0 xe ha y25 ff9 fs6 fc0 sc0 ls0 ws0"> </div><div class="t m0 x5 he y10 ffc fs4 fc0 sc1 ls4 ws0">目录<span class="fff ls0"> </span></div><div class="t m0 xb hf y42 ff8 fs5 fc0 sc0 ls0 ws0">一、<span class="ff10 fs7"> <span class="_ _f"> </span></span>引言<span class="ff9"> <span class="_ _10"></span>..................................................... <span class="_ _11"></span>1<span class="ff10 fs7"> </span></span></div><div class="t m0 x12 hf y43 ff9 fs5 fc0 sc0 ls0 ws0">1.1<span class="_ _12"> </span><span class="ff8">背景</span> <span class="_ _10"></span>.................................................... <span class="_ _11"></span>1<span class="ff10 fs7"> </span></div><div class="t m0 x12 hf y44 ff9 fs5 fc0 sc0 ls0 ws0">1.2<span class="_ _12"> </span><span class="ff8">研究内容</span> <span class="_ _10"></span>................................................ <span class="_ _11"></span>1<span class="ff10 fs7"> </span></div><div class="t m0 x12 hf y45 ff9 fs5 fc0 sc0 ls0 ws0">1.3<span class="_ _12"> </span><span class="ff8">研究思路</span> <span class="_ _10"></span>................................................ <span class="_ _11"></span>1<span class="ff10 fs7"> </span></div><div class="t m0 xb hf y46 ff8 fs5 fc0 sc0 ls0 ws0">二、数据预处理<span class="ff9">.................................................. <span class="_ _11"></span>2<span class="ff10 fs7"> </span></span></div><div class="t m0 x12 hf y47 ff9 fs5 fc0 sc0 ls0 ws0">2.1<span class="_ _12"> </span><span class="ff8">附件<span class="_ _12"> </span></span>1<span class="ff8">：用户收视信息</span>..................................... <span class="_ _11"></span>2<span class="ff10 fs7"> </span></div><div class="t m0 x10 hf y48 ff9 fs5 fc0 sc0 ls0 ws0">2.1.1<span class="_ _12"> </span><span class="ff8">用户收视信息</span> <span class="_ _10"></span>...................................... <span class="_ _11"></span>2<span class="ff10 fs7"> </span></div><div class="t m0 x10 hf y49 ff9 fs5 fc0 sc0 ls0 ws0">2.1.2<span class="_ _12"> </span><span class="ff8">用户回看信息</span> <span class="_ _10"></span>...................................... <span class="_ _11"></span>2<span class="ff10 fs7"> </span></div><div class="t m0 x10 hf y4a ff9 fs5 fc0 sc0 ls0 ws0">2.1.3<span class="_ _12"> </span><span class="ff8">用户点播信息</span> <span class="_ _10"></span>...................................... <span class="_ _11"></span>2<span class="ff10 fs7"> </span></div><div class="t m0 x10 hf y4b ff9 fs5 fc0 sc0 ls0 ws0">2.1.4<span class="_ _12"> </span><span class="ff8">用户单片点播信息</span> <span class="_ _10"></span>.................................. <span class="_ _11"></span>3<span class="ff10 fs7"> </span></div><div class="t m0 x12 hf y4c ff9 fs5 fc0 sc0 ls0 ws0">2.2<span class="_ _12"> </span><span class="ff8">附件<span class="_ _12"> </span></span>2<span class="ff8">：电视产品信息数据</span>................................. <span class="_ _11"></span>3<span class="ff10 fs7"> </span></div><div class="t m0 x12 hf y4d ff9 fs5 fc0 sc0 ls0 ws0">2.3<span class="_ _12"> </span><span class="ff8">附件<span class="_ _12"> </span></span>3<span class="ff8">：用户基本信息</span>..................................... <span class="_ _11"></span>3<span class="ff10 fs7"> </span></div><div class="t m0 xb hf y4e ff8 fs5 fc0 sc0 ls0 ws0">三、研究方案及实施<span class="ff9">.............................................. <span class="_ _11"></span>3<span class="ff10 fs7"> </span></span></div><div class="t m0 x12 hf y4f ff9 fs5 fc0 sc0 ls0 ws0">3.1<span class="_ _12"> </span><span class="ff8">问题一</span> <span class="_ _10"></span>.................................................. <span class="_ _11"></span>3<span class="ff10 fs7"> </span></div><div class="t m0 x10 hf y50 ff9 fs5 fc0 sc0 ls0 ws0">3.1.1<span class="_ _12"> </span><span class="ff8">基于用户的协同过滤</span> <span class="_ _10"></span>................................ <span class="_ _11"></span>4<span class="ff10 fs7"> </span></div><div class="t m0 x10 hf y51 ff9 fs5 fc0 sc0 ls0 ws0">3.1.2<span class="_ _12"> </span><span class="ff8">基于电视产品的协同过滤</span> <span class="_ _10"></span>............................ <span class="_ _11"></span>5<span class="ff10 fs7"> </span></div><div class="t m0 x10 hf y52 ff9 fs5 fc0 sc0 ls0 ws0">3.1.3<span class="_ _12"> </span><span class="ff8">方案实施及测试</span> <span class="_ _10"></span>.................................... <span class="_ _11"></span>6<span class="ff10 fs7"> </span></div><div class="t m0 x12 hf y53 ff9 fs5 fc0 sc0 ls0 ws0">3.2<span class="_ _12"> </span><span class="ff8">问题二</span> <span class="_ _10"></span>.................................................. <span class="_ _11"></span>7<span class="ff10 fs7"> </span></div><div class="t m0 x10 hf y54 ff9 fs5 fc0 sc0 ls0 ws0">3.2.1<span class="_ _12"> </span><span class="ff8">构建用户标签体系（用户画像）</span> <span class="_ _10"></span>...................... <span class="_ _11"></span>7<span class="ff10 fs7"> </span></div><div class="t m0 x10 hf y55 ff9 fs5 fc0 sc0 ls0 ws0">3.3.2<span class="_ _12"> </span><span class="ff8">构建产品标签体系</span> <span class="_ _10"></span>.................................. <span class="_ _11"></span>9<span class="ff10 fs7"> </span></div><div class="t m0 x10 hf y56 ff9 fs5 fc0 sc0 ls0 ws0">3.2.3<span class="_ _12"> </span><span class="ff8">电视产品分类推荐</span> <span class="_ _10"></span>.................................. <span class="_ _11"></span>9<span class="ff10 fs7"> </span></div><div class="t m0 xb hf y57 ff8 fs5 fc0 sc0 ls0 ws0">四、电视套餐建议<span class="ff9">............................................... <span class="_ _11"></span>11<span class="ff10 fs7"> </span></span></div><div class="t m0 x12 hf y58 ff9 fs5 fc0 sc0 ls0 ws0">4.1<span class="_ _12"> </span><span class="ff8">分析套餐结构</span> <span class="_ _10"></span>........................................... <span class="_ _11"></span>11<span class="ff10 fs7"> </span></div><div class="t m0 x12 hf y59 ff9 fs5 fc0 sc0 ls0 ws0">4.2<span class="_ _12"> </span><span class="ff8">对内容相同的套餐进行合并归类</span> <span class="_ _10"></span>........................... <span class="_ _11"></span>12<span class="ff10 fs7"> </span></div><div class="t m0 x12 hf y5a ff9 fs5 fc0 sc0 ls0 ws0">4.3<span class="_ _12"> </span><span class="ff8">形成用户数据表</span> <span class="_ _10"></span>......................................... <span class="_ _11"></span>13<span class="ff10 fs7"> </span></div><div class="t m0 x12 hf y5b ff9 fs5 fc0 sc0 ls0 ws0">4.4<span class="_ _12"> </span><span class="ff8">实施关联规则</span> <span class="_ _10"></span>........................................... <span class="_ _11"></span>13<span class="ff10 fs7"> </span></div><div class="t m0 xb hf y5c ff8 fs5 fc0 sc0 ls0 ws0">五、<span class="ff10 fs7"> <span class="_ _f"> </span></span>总结<span class="ff9"> <span class="_ _10"></span>.................................................... <span class="_ _11"></span>15<span class="ff10 fs7"> </span></span></div><div class="t m0 x12 hf y5d ff9 fs5 fc0 sc0 ls0 ws0">5.1<span class="_ _12"> </span><span class="ff8">结论</span> <span class="_ _10"></span>................................................... <span class="_ _11"></span>15<span class="ff10 fs7"> </span></div><div class="c x8 y23 w2 h5"><div class="t m1 x9 h6 yf ff7 fs3 fc0 sc0 ls0 ws0"><span class="fc1 sc0">“泰迪杯”挑战赛优秀作品</span></div></div><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a></div><div class="pi" data-data='{"ctm":[1.611792,0.000000,0.000000,1.611792,0.000000,0.000000]}'></div></div><div id="pf5" class="pf w3 h7" data-page-no="5"><div class="pc pc5 w3 h7"><img class="bi x0 y0 w1 h1" alt="" src="/image.php?url=https://csdnimg.cn/release/download_crawler_static/89763175/bg5.jpg"><div class="t m0 xd ha y24 ff9 fs6 fc0 sc0 ls0 ws0"> </div><div class="t m0 xe ha y25 ff9 fs6 fc0 sc0 ls0 ws0"> </div><div class="t m0 x12 hf y5e ff9 fs5 fc0 sc0 ls0 ws0">5.2<span class="_ _12"> </span><span class="ff8">回顾与展望</span> <span class="_ _10"></span>............................................. <span class="_ _11"></span>16<span class="ff10 fs7"> </span></div><div class="t m0 xb hf y5f ff8 fs5 fc0 sc0 ls0 ws0">致谢<span class="ff9">........................................................... <span class="_ _11"></span>18<span class="ff10 fs7"> </span></span></div><div class="t m0 xb hd y60 ffe fs5 fc0 sc0 ls0 ws0">Acknowledgement<span class="ff9"> <span class="_ _3"></span>...............................................<span class="_ _0"></span> <span class="_ _11"></span>18<span class="ff10 fs7"> </span></span></div><div class="t m0 xb hf y61 ff8 fs5 fc0 sc0 ls0 ws0">参考文献<span class="ff9">....................................................... <span class="_ _11"></span>19<span class="ff10 fs7"> </span></span></div><div class="t m0 xb hf y62 ff9 fs5 fc0 sc0 ls0 ws0"> </div><div class="t m0 xc hf y63 ff9 fs5 fc0 sc0 ls0 ws0"> </div><div class="c x8 y23 w2 h5"><div class="t m1 x9 h6 yf ff7 fs3 fc0 sc0 ls0 ws0"><span class="fc1 sc0">“泰迪杯”挑战赛优秀作品</span></div></div><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a><a class="l"><div class="d m2"></div></a></div><div class="pi" data-data='{"ctm":[1.611792,0.000000,0.000000,1.611792,0.000000,0.000000]}'></div></div>

100+评论昵称:

captcha

类型	标题	大小	时间
	下载后解压，然后导入mc.zip	17.18MB	7月前

	两阶段鲁棒优化模型多场景采用matlab编程两阶段鲁棒优化程序，考虑四个场景，模型采用列与约束生成（CCG）算法进行求解，场	544.5KB	7月前
	matlab复现，考虑综合需求响应和阶梯型碳交易机制的综合能源系统优化调度策略关键词，综合能源系统，碳交易机制，综合需求响应	619.33KB	7月前
	MATLAB代码：考虑用户舒适度的冷热电多能互补综合能源系统优化调度关键词：用户舒适度综合能源 PMV 优化调度仿真平台	379.97KB	7月前
	Springboot+Vue前后端不分离学生选课系统	7.87MB	7月前

	写给大忙人看的JAVA核心技术	93.88MB	7月前
	Java8实战-Java 8实战	11.16MB	7月前
	分布式微电网能源交易算法matlab源代码，代码按照高水平文章复现，保证正确孤岛微电网之间的能源交易问题，提出了一种分布式算	103.43KB	7月前