雲端市集中顧客需求分類之研究

The Study of Customer Requirement Categorization in a Cloud Market

林雨農(Yu-Nung Lin)

指導教授 ： 王淑卿

朝陽科技大學/資訊學院/資訊管理系/碩士(2013年)

摘要

在資訊日新月異的時代下，電子商務的蓬勃發展已成為一股趨勢，也改變了人們的消費習慣，使企業越來越重視網路商店的區塊和商機，並願意在此投入成本提供更好的服務；而網際網路的快速發展，頻寬的進步，也使得雲端運算(Cloud Computing)這個概念迅速的竄起。由於雲端運算的特性，使得現今企業在網路上提供的服務越來越多元化，也使雲端環境的使用者快速的增加，改變了現有的商業模式，預期未來電子商務將與雲端運算有密不可分的關係。
由於雲端運算的環境非常廣大，因此大量的雲端服務供應商和使用者在此進行交易，使得雲端使用者在雲端市集上，面臨了難以迅速找到提供適當服務的雲端服務供應商。所以，如何能保障雲端運算環境中的使用者能迅速找到適當的服務需求是雲端服務必須探討的議題。因此，本研究提出雲端市集的商業模式層級及訂閱機制來減少雲端使用者所要尋找的資訊量，讓雲端服務的使用者能夠享有更好的服務品質。
再者，因為雲端市集中擁有大量的雲端使用者，使得雲端服務供應商在面對大量雲端使用者所提出的服務需求，難以迅速找到提供適當需求的服務。因此，依據雲端使用者過去的服務需求紀錄將之經過分類、剖析、且以自動化的方式找出雲端使用者正確的服務需求，是本研究的主要重點。本研究運用決策法則的推導(Decision Rule-based Induction)及LLSF(Linear Least Square Fit)二階段的方法，擷取雲端使用者所提出的服務需求之特性。研究中利用需求關鍵字的特性和需求出現的頻率為基礎來判斷需求的類別，以擷取正確的服務需求。透過本研究所提出的方法，可以快速的回應雲端使用者所提出的服務需求，不僅可以減少人力成本，更可提高雲端服務的品質與效能，準確且快速的自動給予雲端使用者適當的服務，提高顧客的滿意度。

關鍵字

決策法則推導 ； 文件分類 ； 訂閱機制 ； 商業模式 ； 電子市集 ； 雲端服務 ； 雲端運算 ； LLSF

並列摘要

Because of the rapidly changing in information, the E-Commerce has become a trend, but also changed people''s consumption habits. To enable enterprises to more and more attention to the block and opportunities of the online store, and are willing to provide better input costs services; the rapid development of Internet bandwidth of progress, but also makes the concept of Cloud Computing spring up rapidly. Due to the characteristics of cloud computing, making the services provided by the companies on the Internet today are more and more diversified, so the users in the cloud environment are rapid increase, and the users will change the existing business model, expected future e-commerce and cloud computing are inseparable relationship.
The cloud computing environment is very large, so a lot of cloud service providers and users in here to make transactions, so that will make the cloud users to face with a difficult problem to quickly find the cloud service providers to provide appropriate services in the cloud marketplace. Therefore, how to protect the cloud users in the cloud-computing environment, make them can quickly find the appropriate service of needs is the necessary issues of cloud services. Therefore, this study present the level of the business model of the cloud marketplace and subscription mechanisms to reduce the information amount of cloud users are looking for, and so them can able to enjoy a better quality of service. Furthermore, because there are a lot of cloud users in the cloud marketplace, so the cloud service providers must have the problems of facing the large service needs from a large numbers of cloud users, it is difficult to quickly find the appropriate needs of the service.
Therefore, based on the past records of the service needs of the cloud users will be sorted, analyzed and automated way to identify the demand for services of cloud users, that is the objects of this study. In this study, we use the decision rules-based induction (Decision Rule-based Induction) and LLSF (Linear Least Square Fit) two-stage method to retrieve the characteristics of the demand for services of cloud user. Demand keyword characteristics and needs of the frequency-based study to determine the type of demand in order to retrieve the correct service needs. Through the method proposed in this study, a rapid response to the cloud user demand for services, not only can reduce labor costs, but also enhance the quality and performance of cloud services. It will automatic given cloud users to appropriate services accurate and fast, so that can improve customer satisfaction.

並列關鍵字

Publish Subscription ； Document classification ； Business Model ； e-Market ； Cloud Service ； Cloud Computing ； the decision rule base ； LLSF

參考文獻

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