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Title:Adaptivescreen: an adaptive news browser for laptops and mobile devices
Author(s):Sun, Bofan
Advisor(s):Zhai, Chengxiang
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):Interactive Information Retrieval
Adaptive Web Design
Abstract:Optimizing interactive information retrieval interfaces is a new trend in IR which focuses more on the interface design and formalizes interactive IR. However, none of existing work has proposed a system to support both adaptive web design and navigational interface, a primary goal of this thesis. We propose the very first browsing system that can adapt to screen size and inferred user need potentially during the process of information retrieval at every interaction. AdaptiveScreen not only presents a user-friendly interface with adaptive web design but also connects with a novel interface card model which formally models the interactive retrieval task. We show that AdaptiveScreen improves upon the prototype system from the perspective of system architecture and system implementations. AdaptiveScreen is redesigned in the manner of classic software architectural pattern Model-View-Controller. By comparing the screen shots and performance between AdaptiveScreen and the prototype system on both laptops and movable devices, we can conclude that AdaptiveScreen successfully leverages the effectiveness of Interface Card Model (ICM) proposed before and overcomes the weakness of prototype system. In the end, we hope the new system can demonstrate the potential applications of algorithms based on ICM and stimulate other researchers in the field of interactive IR.
Issue Date:2017-07-20
Type:Thesis
URI:http://hdl.handle.net/2142/98304
Rights Information:Copyright 2017 Bofan Sun
Date Available in IDEALS:2017-09-29
Date Deposited:2017-08


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