Abstract/Details

Interactive reformulation of long queries


2008 2008

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Abstract (summary)

We present new ways of interacting with a user based on query analysis and reformulation. Our goal is to not only improve retrieval performance but also help the user understand the retrieval process and collection she is searching. We do this by providing users information reflecting the potential impact their decisions will have on the retrieval process. This way, users can make more informed choices from the options presented to them by the retrieval system.

Unlike most previous work in user interaction where a one-procedure-fits-all strategy was pursued, user interaction must be invoked only when there is potential for improvement. This is important as tedious user interaction can have an unfavorable impact on user experience. We present techniques for selective user interaction and show their utility in the context of two interaction techniques we have developed. Our results show that user interaction can be avoided in a vast number of cases without much deterioration in performance.

User interaction can be made more productive by providing users with an optimally-sized set of high quality options. We present efficient techniques to determine such a set. When faced with a decision to interact with a user given a particular query, it is beneficial to determine the best interaction technique suited for that query. We solve this problem by obtaining implicit feedback from the user. By utilizing all the interaction-related techniques described in this thesis, we show through simulations and user studies that users can obtain better performance with less effort.

Indexing (details)


Subject
Computer science
Classification
0984: Computer science
Identifier / keyword
Applied sciences, Information retrieval, Long queries, Query refinement, Query reformulation, User interaction
Title
Interactive reformulation of long queries
Author
Kumaran, Giridhar
Number of pages
147
Publication year
2008
Degree date
2008
School code
0118
Source
DAI-B 69/09, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
9780549786061
Advisor
Allan, James
Committee member
Cohen, Andrew; Croft, Bruce; Jensen, David
University/institution
University of Massachusetts Amherst
Department
Computer Science
University location
United States -- Massachusetts
Degree
Ph.D.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
3325123
ProQuest document ID
304567577
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/304567577
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