基于樸素貝葉斯的移動客戶職業(yè)識別算法與調(diào)試
發(fā)布時間:2018-03-27 12:34
本文選題:樸素貝葉斯模型 切入點:移動用戶職業(yè) 出處:《內(nèi)蒙古大學》2013年碩士論文
【摘要】:隨著移動通信、互聯(lián)網(wǎng)業(yè)務(wù)的迅速發(fā)展。手機已經(jīng)從奢侈品變成了生活日用品,是我們?nèi)粘I钪胁豢扇鄙俚囊徊糠帧H藗冸S時隨地使用手機打電話、發(fā)短信、上網(wǎng),而用戶的這些行為以及其個人基本信息均在運營商處有所記錄。如何能夠通過流量費、通話費、短信條數(shù)、上網(wǎng)時長四個加權(quán)因素來綜合刻畫用戶職業(yè)類型。對于整體運營商行業(yè)來說,是極其重要和有價值的研究課題。 對特定人群提供特定服務(wù)和合適的資費尤為重要。因為不同的職業(yè)有不同的消費傾向和消費能力,對選擇資費和話費業(yè)務(wù)上有很大的不同。所以通過用戶以往數(shù)據(jù),歸納出不同職業(yè)用戶的特征,再對未知職業(yè)的用戶做出預(yù)測,對公司市場和業(yè)務(wù)流程有很大的幫助,可以節(jié)約大量不必要的推廣成本,提高推廣轉(zhuǎn)化率。 我們運用樸素貝葉斯模型先對信息完整的用戶職業(yè)信息進行分類。以職場新人為例,根據(jù)刻畫職場新人的四個影響因素與職場新人職業(yè)之間的關(guān)系。預(yù)測出兩個職業(yè)信息不詳?shù)穆殘鲂氯朔謩e是從事房地產(chǎn)經(jīng)營產(chǎn)業(yè)和其他商務(wù)服務(wù)業(yè)的。我們將數(shù)據(jù)表中手機信息不詳?shù)穆殘鲂氯藛为毩信e出來,根據(jù)上問中信息完整的職場新人的相關(guān)指標因子來確定手機信息不詳?shù)穆殘鲂氯私K端大致的價格范圍。當職場新人與聚類中心的距離小的時候,這個職場新人就屬于這個類別。當這個距離大的時候,該職場新人就不屬于這個類別。
[Abstract]:With the rapid development of mobile communication and Internet business, mobile phone has changed from luxury to daily necessities, which is an indispensable part of our daily life. And the user's behavior and their personal basic information are recorded at the operator's office. How can they be recorded through traffic charges, phone calls, text messages, It is an extremely important and valuable research topic for the whole operator industry to describe the occupation types of users synthetically by the four weighted factors of the length of the Internet. It is particularly important to provide specific services and appropriate rates to specific groups of people. Because different occupations have different propensity and ability to consume, they are very different in selecting tariff and telephone services. The characteristics of different professional users are summed up, and then the users of unknown occupations are predicted, which is of great help to the market and business process of the company, which can save a lot of unnecessary promotion costs and increase the extension conversion rate. We use naive Bayes model to classify the occupational information of users with complete information. According to the relationship between the four factors that affect the new career and the occupation of the new workplace, we predict that the two new professionals with unknown information are engaged in the real estate business and other business services respectively. We will count. According to the list of new workplace workers whose mobile phone information is not available, According to the relevant index factors of the newlyweds with complete information in the above question, to determine the approximate price range of the new workplace newcomers with unknown mobile phone information. When the distance between the workplace newlyweds and the cluster center is small, This new worker falls into this category. When the distance is large, the new worker does not fall into this category.
【學位授予單位】:內(nèi)蒙古大學
【學位級別】:碩士
【學位授予年份】:2013
【分類號】:TP311.13
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