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Visual interfaces for improved mobile search

Author(s)
Church, Karen  
Smyth, Barry  
Oliver, Nuria  
Uri
http://hdl.handle.net/10197/1208
Date Issued
2009
Date Available
2009-06-22T15:00:00Z
Abstract
The Mobile Web promises a new age of anytime, anywhere information access to billions of users across the globe. However, the Mobile Internet represents a challenging information access environment, particularly from a search standpoint. In this paper we present two visual interfaces for improved mobile search. First, we present SearchBrowser, a map-based interface that offers richer end-user interactions by taking into account important mobile contexts including location and time. Second, we consider the social context of mobile search and present Social Search Browser; a proofof-concept interface that incorporates social networking capabilities to improve the search and information discovery experience of mobile subscribers.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
Sun SITE Central Europe (CEUR)
Copyright (Published Version)
Copyright is held by the author/owner(s)
Subjects

Mobile search

Search interfaces

Social search

Social networking

Mobile web

Context

Subject – LCSH
Information retrieval
User interfaces (Computer systems)
Internet searching
Online social networks
Web versions
http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-443/paper13.pdf
Language
English
Status of Item
Peer reviewed
Journal
Handschuh, A., Heath, T., Thai, V. (eds.). CEUR Workshop Proceedings vol. 443 : Proceedings of the IUI'09 Workshop on Visual Interfaces to the Social and the Semantic Web
Conference Details
Visual Interfaces to the Social and the Semantic Web (VISSW 2009) Florida, February 8, 2009
ISSN
1613-0073
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
File(s)
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Visual Interfaces for Improved Mobile Search .pdf

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465.91 KB

Format

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Checksum (MD5)

eb21495e8c480adcf80432ddd209ecdd

Owning collection
Computer Science Research Collection
Mapped collections
CLARITY Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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