東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

A web personalization artifact for u...

Flory, Long.

Linked to FindBook

Google Book

Amazon

博客來

A web personalization artifact for utility-sensitive review analysis.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A web personalization artifact for utility-sensitive review analysis./
Author:	Flory, Long.
Description:	171 p.
Notes:	Source: Dissertation Abstracts International, Volume: 76-09(E), Section: B.
Contained By:	Dissertation Abstracts International76-09B(E).
Subject:	Information technology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3703324
ISBN:	9781321750744

A web personalization artifact for utility-sensitive review analysis.
Flory, Long.

A web personalization artifact for utility-sensitive review analysis. - 171 p.

Source: Dissertation Abstracts International, Volume: 76-09(E), Section: B.

Thesis (Ph.D.)--Virginia Commonwealth University, 2015.

Online customer reviews are web content voluntarily posted by the users of a product (e.g. camera) or service (e.g. hotel) to express their opinions about the product or service. Online reviews are important resources for businesses and consumers. This dissertation focuses on the important consumer concern of review utility, i.e., the helpfulness or usefulness of online reviews to inform consumer purchase decisions. Review utility concerns consumers since not all online reviews are useful or helpful. And, the quantity of the online reviews of a product/service tends to be very large. Manual assessment of review utility is not only time consuming but also information overloading. To address this issue, review helpfulness research (RHR) has become a very active research stream dedicated to study utility-sensitive review analysis (USRA) techniques for automating review utility assessment.

ISBN: 9781321750744Subjects--Topical Terms:

532993
Information technology.

A web personalization artifact for utility-sensitive review analysis.
LDR:03210nmm a2200313 4500 001 2064782
005 20151117142841.5
008 170521s2015 ||||||||||||||||| ||eng d
020 $a 9781321750744
035 $a (MiAaPQ)AAI3703324
035 $a AAI3703324
040 $a MiAaPQ $c MiAaPQ
100 1 $a Flory, Long. $3 3179407
245 1 2 $a A web personalization artifact for utility-sensitive review analysis.
300 $a 171 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-09(E), Section: B.
500 $a Adviser: Kweku-Muata Osei-Bryson.
502 $a Thesis (Ph.D.)--Virginia Commonwealth University, 2015.
520 $a Online customer reviews are web content voluntarily posted by the users of a product (e.g. camera) or service (e.g. hotel) to express their opinions about the product or service. Online reviews are important resources for businesses and consumers. This dissertation focuses on the important consumer concern of review utility, i.e., the helpfulness or usefulness of online reviews to inform consumer purchase decisions. Review utility concerns consumers since not all online reviews are useful or helpful. And, the quantity of the online reviews of a product/service tends to be very large. Manual assessment of review utility is not only time consuming but also information overloading. To address this issue, review helpfulness research (RHR) has become a very active research stream dedicated to study utility-sensitive review analysis (USRA) techniques for automating review utility assessment.
520 $a Unfortunately, prior RHR solution is inadequate. RHR researchers call for more suitable USRA approaches. Our current research responds to this urgent call by addressing the research problem: What is an adequate USRA approach? We address this problem by offering novel Design Science (DS) artifacts for personalized USRA (PUSRA). Our proposed solution extends not only RHR research but also web personalization research (WPR), which studies web-based solutions for personalized web provision. We have evaluated the proposed solution by applying three evaluation methods: analytical, descriptive, and experimental. The evaluations corroborate the practical efficacy of our proposed solution.
520 $a This research contributes what we believe (1) the first DS artifacts to the knowledge body of RHR and WPR, and (2) the first PUSRA contribution to USRA practice. Moreover, we consider our evaluations of the proposed solution the first comprehensive assessment of USRA solutions. In addition, this research contributes to the advancement of decision support research and practice. The proposed solution is a web-based decision support artifact with the capability to substantially improve accurate personalized webpage provision. Also, website designers can apply our research solution to transform their works fundamentally. Such transformation can add substantial value to businesses.
590 $a School code: 2383.
650 4 $a Information technology. $3 532993
650 4 $a Commerce-Business. $3 3168423
650 4 $a Marketing. $3 536353
690 $a 0489
690 $a 0505
690 $a 0338
710 2 $a Virginia Commonwealth University. $b Information Systems. $3 3179408
773 0 $t Dissertation Abstracts International $g 76-09B(E).
790 $a 2383
791 $a Ph.D.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3703324