Information retrieval as card playing: a formal model for optimizing interactive retrieval interface
Zhang, Yinan
Loading…
Permalink
https://hdl.handle.net/2142/78792
Description
Title
Information retrieval as card playing: a formal model for optimizing interactive retrieval interface
Author(s)
Zhang, Yinan
Issue Date
2015-04-28
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
Information Retrieval
Probability Ranking Principle
Interface Card Model
Abstract
We propose a novel formal model for optimizing interactive information retrieval interfaces. To model interactive retrieval in a general way, we frame the task of an interactive retrieval system as to choose a sequence of interface cards to present to the user. At each interaction lap, the system's goal is to choose an interface card that can maximize the expected gain of relevant information for the user while minimizing the effort of the user with consideration of the user's action model and any desired constraints on the interface card. We show that such a formal interface card model can not only cover the Probability Ranking Principle for Interactive Information Retrieval as a special case by making multiple simplification assumptions, but also be used to derive a novel formal interface model for adaptively optimizing navigational interfaces in a retrieval system. Experimental results show that the proposed model and algorithms are effective in automatically generating adaptive navigational interfaces, which outperform the baseline pre-designed static interfaces.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
