Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form


Choochaiwattana, Worasit (2008) USING SOCIAL ANNOTATIONS TO IMPROVE WEB SEARCH. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

Primary Text

Download (5MB) | Preview


Web-based tagging systems, which include social bookmarking systems such as Delicious, have become increasingly popular. These systems allow participants to annotate or tag web resources. This research examined the use of social annotations to improve the quality of web searches. The research involved three components. First, social annotations were used to index resources. Two annotation-based indexing methods were proposed: annotation based indexing and full text with annotation indexing. Second, social annotations were used to improve search result ranking. Six annotation based ranking methods were proposed: Popularity Count, Propagate Popularity Count, Query Weighted Popularity Count, Query Weighted Propagate Popularity Count, Match Tag Count and Normalized Match Tag Count. Third, social annotations were used to both index and rank resources. The result from the first experiment suggested that both static feature and similarity feature should be considered when using social annotations to re-rank search result. The result of the second experiment showed that using only annotation as an index of resources may not be a good idea. Since social Annotations could be viewed as a high level concept of the content, combining them to the content of resource could add some more important concepts to the resources. Last but not least, the result from the third experiment confirmed that the combination of using social annotations to rank the search result and using social annotations as resource index augmentation provided a promising rank of search results. It showed that social annotations could benefit web search.


Social Networking:
Share |


Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairSpring, Michaelspring@pitt.eduSPRING
Committee MemberButler,
Committee MemberHe, Daqingdaqing@sis.pitt.eduDAH44
Committee MemberBrusilovsky, Peterpeterb@pitt.eduPETERB0000-0002-1902-1464
Committee MemberHirtle, Stephenshirtle@sis.pitt.eduHIRTLE
Date: 3 June 2008
Date Type: Completion
Defense Date: 17 April 2008
Approval Date: 3 June 2008
Submission Date: 8 May 2008
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: social annotation; social ranking; social search; web resource ranking; web search
Other ID:, etd-05082008-144535
Date Deposited: 10 Nov 2011 19:44
Last Modified: 15 Nov 2016 13:43


Monthly Views for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item