語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Goal attainment on long tail web sit...
~
Mccart, James A.
FindBook
Google Book
Amazon
博客來
Goal attainment on long tail web sites: An information foraging approach.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Goal attainment on long tail web sites: An information foraging approach./
作者:
Mccart, James A.
面頁冊數:
315 p.
附註:
Source: Dissertation Abstracts International, Volume: 71-09, Section: A, page: 3083.
Contained By:
Dissertation Abstracts International71-09A.
標題:
Information Science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3420603
ISBN:
9781124187730
Goal attainment on long tail web sites: An information foraging approach.
Mccart, James A.
Goal attainment on long tail web sites: An information foraging approach.
- 315 p.
Source: Dissertation Abstracts International, Volume: 71-09, Section: A, page: 3083.
Thesis (Ph.D.)--University of South Florida, 2009.
This dissertation sought to explain goal achievement at limited traffic "long tail" Web sites using Information Foraging Theory (IFT). The central thesis of IFT is that individuals are driven by a metaphorical sense of smell that guides them through patches of information in their environment. An information patch is an area of the search environment with similar information. Information scent is the driving force behind why a person makes a navigational selection amongst a group of competing options. As foragers are assumed to be rational, scent is a mechanism by which to reduce search costs by increasing the accuracy on which option leads to the information of value.
ISBN: 9781124187730Subjects--Topical Terms:
1017528
Information Science.
Goal attainment on long tail web sites: An information foraging approach.
LDR
:03200nam a2200325 4500
001
1962082
005
20140730075025.5
008
150210s2009 ||||||||||||||||| ||eng d
020
$a
9781124187730
035
$a
(MiAaPQ)AAI3420603
035
$a
AAI3420603
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Mccart, James A.
$3
2098102
245
1 0
$a
Goal attainment on long tail web sites: An information foraging approach.
300
$a
315 p.
500
$a
Source: Dissertation Abstracts International, Volume: 71-09, Section: A, page: 3083.
500
$a
Advisers: Donald J. Berndt; Balaji Padmanabhan.
502
$a
Thesis (Ph.D.)--University of South Florida, 2009.
520
$a
This dissertation sought to explain goal achievement at limited traffic "long tail" Web sites using Information Foraging Theory (IFT). The central thesis of IFT is that individuals are driven by a metaphorical sense of smell that guides them through patches of information in their environment. An information patch is an area of the search environment with similar information. Information scent is the driving force behind why a person makes a navigational selection amongst a group of competing options. As foragers are assumed to be rational, scent is a mechanism by which to reduce search costs by increasing the accuracy on which option leads to the information of value.
520
$a
IFT was originally developed to be used in a "production rule" environment, where a user would perform an action when the conditions of a rule were met. However, the use of IFT in clickstream research required conceptualizing the ideas of information scent and patches in a non-production rule environment. To meet such an end this dissertation asked three research questions regarding (1) how to learn information patches, (2) how to learn trails of scent, and finally (3) how to combine both concepts to create a Clickstream Model of Information Foraging (CMIF).
520
$a
The learning of patches and trails were accomplished by using contrast sets, which distinguished between individuals who achieved a goal or not. A user- and site-centric version of the CMIF, which extended and operationalized IFT, presented and evaluated hypotheses. The user-centric version had four hypotheses and examined product purchasing behavior from panel data, whereas the site-centric version had nine hypotheses and predicted contact form submission using data from a Web hosting company.
520
$a
In general, the results show that patches and trails exist on several Web sites, and the majority of hypotheses were supported in each version of the CMIF. This dissertation contributed to the literature by providing a theoretically-grounded model which tested and extended IFT; introducing a methodology for learning patches and trails; detailing a methodology for preprocessing clickstream data for long tail Web sites; and focusing on traditionally under-studied long tail Web sites.
590
$a
School code: 0206.
650
4
$a
Information Science.
$3
1017528
650
4
$a
Business Administration, Management.
$3
626628
650
4
$a
Web Studies.
$3
1026830
690
$a
0723
690
$a
0454
690
$a
0646
710
2
$a
University of South Florida.
$3
1020446
773
0
$t
Dissertation Abstracts International
$g
71-09A.
790
$a
0206
791
$a
Ph.D.
792
$a
2009
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3420603
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9256910
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入