Dissertation Information for Deima Elnatour NAME: - Deima Elnatour
DEGREE:
- Ph.D.
DISCIPLINE:
- Library and Information Science
SCHOOL:
- Drexel University (USA) (2011)
ADVISORS: - Xiaohua Hu
COMMITTEE MEMBERS: - Yuan An - Christopher C. Yang - Jiexun Li - Zeka Berhane
MPACT Status: Fully Complete
Title: Recreating Popular User-Generated Tags Effectively and Efficiently by Utilizing Crowdsourcing
Abstract: It is well-known today that not all user-generated tags provide additional information that can be used to further improve web search beyond traditional methods. A number of studies established that popular tags are most useful for web search. Popular tags are common tags provided independently by a large number of users to describe web sources of interest. However, the same studies concluded that incorporating these tags will not make a measurable impact on search engine performance given the size of the web and the scarcity and distribution of popular user-generated tags across the extended web.
This dissertation is focused on finding a way to create social bookmarking tags efficiently and effectively by utilizing crowdsourcing systems. The purpose of the study is to determine whether popular internet bookmarking tags can be recreated through crowdsourcing. Amazon Mechanical Turk was used as a means to conduct an experiment regarding the reproduction of popular tags for a variety of websites using Delicious.com. The key research questions were examined and a number of factors were studied to measure the effectiveness of crowdsourcing in reproducing popular tags. In addition, a number of factors regarding tag types and worker characteristics were examined.
The results of the study suggest that popular internet bookmarking tags can be recreated effectively through crowdsourcing. Moreover, tag creation effectiveness was significantly higher for tag type "Factual and Subjective" (F & S) than for tag type "Factual" (F). Additionally, Interest in site, familiarity with site, tag creation experience and tag usage experience were significantly related to tag creation effectiveness for some of the sites, although the direction and significance of these relationships was not consistent across all sites included in this study.
This study provides a promising new direction for cheap, fast and effective creation of user-generated tags that would be useful in indexing more of the extended web and consequently help improve web search. Furthermore, it informs future experimental and micro-task design for creating high quality tags reliably using crowdsourcing platforms.
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MPACT Scores for Deima Elnatour A = 0
C = 0
A+C = 0
T = 0
G = 0
W = 0
TD = 0
TA = 0
calculated 2012-07-20 10:55:42
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