以網路口碑之語意萃取為基礎的推薦系統

李佳曄

doi:10.6840/CYCU.2009.00277、10.6840/cycu200900486

3.230.142.168，Hello！

Close
Search Quick Search Advanced Search Publication Search	Personal Service Member Login Searching History Use Bonus Card SYMSKAN
Browse Browse by University of Graduate Thesis Browse by Pinyin of Graduate Thesis Browse by Conference Proceedings Topic Browse by Conference Proceedings Publisher Browse by Pinyin of Conference Proceedings Browse by eBook Category Browse by eBook Topic Browse by eBook Publisher
Customer Services Authorize Airiti Recommend a Journal

Search Symbol (Half-width)	Description of Search Symbols
Space	"AND" indicates the intertwining of key terms used in a search
Double Quotation Marks ("") ( " " )	Double quotation marks indicate the beginning and end of a phrase, and the search will only include terms that appear in the same order of those within the quotations. Example: "image process" ： " image process "
?	Indicates a variable letter. Entering two ? will indicate two variable letters, and so on. Example: "Appl?", search results will yield apple, apply… e , appl y … ( (often used to English word searches) )
*	Indicates an unlimited number of variable letters to follow, from 1~n. Example: Enter "appl*", search results will yield apple, apples, apply, applied, application…(often used in English word searches) e , appl es , appl y , appl ied , appl ication … ( (often used to English word searches) )
AND、OR、NOT	Boolean logic combinations of key words is a skill used to expand or refine search parameters. (1) AND (1) AND: Refines search parameters (2) OR (2) OR: Expands search parameters (3) NOT: Excludes irrelevant parameters

DOI stands for Digital Object Identifier （ D igital O bject I dentifier ） ,
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.

Using DOI as a persistent link

To create a persistent link, add「http://dx.doi.org/」「 http://dx.doi.org/ 」 before a DOI.
For instance, if the DOI of an article is 10.5297/ser.1201.002 , you can link persistently to the article by entering the following link in your browser: http://dx.doi.org/ 10.5297/ser.1201.002 。
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.

Cite a document with DOI

When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.

DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI Registration （ doi.airiti.com ）。

Data Source

College of Business > Graduate School of Information Management
Social Sciences > Management

Bibliography Management Tool

Related Links

Report an Issue

Purchase Single Articles

Download PDF

以網路口碑之語意萃取為基礎的推薦系統

A Recommendation System of Semantic Understanding Based on Consumer Generated Media

李佳曄 , Masters　　Advisor：戚玉樑　　

繁體中文 DOI： 10.6840/CYCU.2009.00277、10.6840/cycu200900486

網路口碑；消費者自主媒體；文字探勘；知識本體；語意網路規則語言； Text Mining ； Ontology ； Semantic Web Rule Language(SWRL) ； Online Word-of-Mouth ； Consumer Generated Media(CGM)

Abstract │ Reference (37) │ Times Cited (2) │ Altmetrics

Abstract 〈TOP〉

Parallel Abstract 〈TOP〉

Word-of-mouth is an information communication behavior resulted from transmitter and receiver face to face. This kind of commercial communication behavior is non-commercial intention. It discusses about some brand, product or the communication processes of information, and important factor that influences customer’s decision to consume. By the development of Internet, word-of-month not only limited communication by traditional word of mouth but also adopted Consumer Generated Media (CGM), liked customer’s opinion, experience and comment etc. Communication liked discussion, message board, blog etc, became new type of online word-of-mouth. The overloading online word-of-mouth information was not easy to read for people, needless to say that made consuming decision by online word-of-mouth. Thus, this study tried to integrate online word-of-month, analysis the evaluation of stores, criticism products and services by indicators. Comparing with the differences among stores and making recommendations to every type of customers by indicators, established a recommendation system of semantic understanding based on consumer generated media. This study analysis online word-of-mouth by text mining, found out key words that influence domains and made non-structure electronic texts transferred to machine readable information by extraction key words. Using ontology to establish the knowledge structure of stores and making online word-of-mouth subsume to the knowledge structure by Semantic Web Rule Language (SWRL). During the text quantification process, inferred every type of good stores and presented store information for customer checking as abstract type.

Reference ( 37 ) 〈TOP〉

[1] Schwartz, B.，劉世南譯，「The Paradox of Choice: Why More is Less (選擇的弔詭)」，台北: 天下雜誌出版，2004。
連結：
[2] Arndt, J. “Role of Product-Related Conversations in the Diffusion of a New Product,” Journal of Marketing Research 4(3) 1967, pp.291-295.
連結：
[3] Bickart, B., and Schinkler, R. M. “Internet Forums as Influential Sources of Consumer Information,” Journal of Interactive Marketing 15(3) 2001, pp.31-40.
連結：
[7] Brown, J. J., and Reingen, P. H. “Social Ties and Word-of-Mouth Referral Behavior,” Journal of Consumer Research 14(3) 1987, pp.350-362.
連結：
[9] Chen, K. J., and Bai, M. H. “Unknown Word Detection for Chinese by a Corpus-based Learning Method,” Computational Linguistics 3(1) 1998, pp.27-44.
連結：

Times Cited (2) 〈TOP〉

Altmetrics

〈TOP〉

E-mail ：

When an article is available to download, a notice will be sent to your mailbox address.

E-mail ：