引入互聯(lián)網(wǎng)搜索量的市場需求預測模型研究
[Abstract]:In recent years, with the continuous development of the Internet industry, more and more information in the Internet, search engines have gradually become an important application for Internet users. In 2007, Google launched the Google trend, Statistics of the vast number of Google search users search keyword features. Many scholars have begun to study the relationship between the Internet search volume characteristics of products or services and the actual market demand, and found that there is a significant correlation between the Internet search volume and the actual market demand. And the introduction of Internet search volume in the prediction model will help to improve the prediction accuracy of the model. However, most of the current research is in foreign countries, using the Google Index provided by Google Trends as the representative of Internet search volume, focusing on the pharmaceutical, unemployment, tourism and other industries. There is little research on the relationship between the characteristics of Internet search volume and the actual market demand of Chinese domestic market. Based on the above reasons, this paper focuses on the study of the market characteristics of domestic Internet search volume in China, and verifies the relationship between the Internet search volume and the actual market demand from more fields. The main research results of this paper are as follows: 1. Based on Arima model and ordinary time series, this paper constructs a market demand forecasting model with Internet search volume. 2. This paper studies the characteristics of Internet search volume of products or services in China's domestic market and its relationship with actual market demand. Based on the number of users reached by Fetion and the domestic box office, this paper studies the characteristics of Internet search volume of products or services in China, and the relationship between them and their market demand. 3. Verify the role of Internet search volume in market demand forecasting. By establishing a comparative model, the prediction accuracy between the prediction model without Internet search quantity and the prediction model with Internet search quantity is compared, and the function of Internet search quantity in prediction is revealed.
【學位授予單位】:北京郵電大學
【學位級別】:碩士
【學位授予年份】:2013
【分類號】:TP391.3
【參考文獻】
相關期刊論文 前10條
1 李雋波;孫麗娜;;基于多元線性回歸分析的冷鏈物流需求預測[J];安徽農業(yè)科學;2011年11期
2 唐偉;論管理活動中的定性預測方法[J];北京師范大學學報;1991年04期
3 潘志剛;韓穎;;組合預測法在我國汽車市場需求預測中的應用[J];商業(yè)研究;2006年20期
4 李山;邱榮旭;陳玲;;基于百度指數(shù)的旅游景區(qū)絡空間關注度:時間分布及其前兆效應[J];地理與地理信息科學;2008年06期
5 方庚明;;基于多元線性回歸的公路客運量發(fā)展預測模型[J];工程與建設;2011年02期
6 王鵬飛;多元線性回歸方法在中國用電量預測中的應用研究[J];東北電力技術;2005年08期
7 劉穎;呂本富;彭賡;;網(wǎng)絡搜索對股票市場的預測能力:理論分析與實證檢驗[J];經(jīng)濟管理;2011年01期
8 趙輝;王輝;;基于多種時序模型的河北省某市卷煙需求預測比較[J];經(jīng)濟研究導刊;2011年08期
9 章偉;;混合模型在經(jīng)濟時間序列預測中的應用研究[J];計算機仿真;2011年06期
10 張美英;何杰;;時間序列預測模型研究簡介[J];江西科學;2009年05期
相關博士學位論文 前1條
1 查貴庭;中國稻米市場需求及整合研究[D];南京農業(yè)大學;2005年
相關碩士學位論文 前4條
1 夏榮堯;基于ARIMA模型的我國通貨膨脹預測研究[D];湖南大學;2009年
2 王建剛;商品住宅市場分析與需求總量控制[D];武漢大學;2005年
3 姜愛平;具有外生變量的非線性時間序列模型及其實證分析[D];西安理工大學;2007年
4 方冰;基于社會化媒體營銷的品牌內容傳播[D];中國科學技術大學;2010年
,本文編號:2125287
本文鏈接:http://sikaile.net/kejilunwen/sousuoyinqinglunwen/2125287.html