Reading PAGE
Peer Evaluation activity
| Trusted by | 1 |
| Views | 10 |
| Collected by | 1 |
| Followed by | 1 |
Total impact ?
Send a 
Mark has...
| Trusted | 0 |
| Reviewed | 0 |
| Emailed | 0 |
| Shared/re-used | 0 |
| Discussed | 0 |
| Invited | 0 |
| Collected | 2 |
This was brought to you by:
Followblock this user Mark Keane Trusted member
Professor
School of Computer Science & Informatics, University College Dublin
ABSTRACT Evaluating Interfaces for Intelligent Mobile Search
Oh la la
Your session has expired but don’t worry, your message
has been saved.Please log in and we’ll bring you back
to this page. You’ll just need to click “Send”.
Your evaluation is of great value to our authors and readers. Many thanks for your time.
Your mailing list is currently empty.
It will build up as you send messages
and links to your peers.
Enter the e-mail addresses of your recipients in the box below. Note: Peer Evaluation will NOT store these email addresses log in
Your message has been sent.
Description
Title : ABSTRACT Evaluating Interfaces for Intelligent Mobile Search
Area : Computer Science
Language : English
Url : http://www.w4a.info/2006/prog/10-church.pdf
Doi : 10.1.1.105.9528
Abstract : Recent developments in the mobile phone market have led to a significant increase in the number of users accessing the Mobile Internet. Handsets have been improved to support a diverse range of content types (text, graphics, audio, video etc.), infrastructure investments have delivered improved bandwidth, and changes to billing models offer users much greater value for content. Today large numbers of users are moving away from browsing operator portals and towards off-portal search, leading to a growing need for mobile specific search engine technologies. In this paper we argue that existing mobile search engines are unlikely to offer an adequate service for mobile searchers. Most borrow traditional query-based search and list-based result presentation formats from Web search and as such are not well optimised for the input and display features of mobile devices. For example, many simply attempt to translate Web content for the mobile space which is not appropriate. In this paper we evaluate an alternative strategy which replaces the usual result snippet with a more economic alternative that is composed of the keywords used in related queries. We argue that this alternative is better suited to the display characteristics of mobile devices, without compromising the informativeness of result snippets.
Subject : unspecifiedArea : Computer Science
Language : English
| Affiliations : |
Doi : 10.1.1.105.9528
Leave a comment
This contribution has not been reviewed yet. review?
You may receive the Trusted member label after :
• Reviewing 10 uploads, whatever the media type.
• Being trusted by 10 peers.
• If you are blocked by 10 peers the "Trust label" will be suspended from your page. We encourage you to contact the administrator to contest the suspension.
Please select an affiliation to sign your evaluation:
Please select an affiliation:
Mark's Peer Evaluation activity
| Trusted by | 1 |
- FPeer Evaluation, Publisher, Peer Evaluation.
| Views | 10 |
- 210.1017/S000000000000000 Printed in the United Kingdom Retrieval, reuse, revision, and retention in casebased reasoning
- 2A NEW METAPHOR FOR THE GRAPHICAL EXPLANATION OF
- 2Adaptation as a Selection Constraint On Analogical Mapping
- 1Adaptation-Guided Retrieval: Questioning the Similarity Assumption in Reasoning
- 1Adaptation-Guided Retrieval: Using Adaptation Knowledge to Guide the Retrieval of Adaptable Cases
- 1An Energy-Efficient, Multi-Agent Sensor Network for Detecting Diffuse Events Keywords: Sensor Networks, Multi-Agent Systems and Diffuse Events
- 1Belief Modelling, Intentionality and Perlocution in Metaphor Comprehension
| Collected by | 1 |
- FMark Keane, Professor, School of Computer Science & Informatics, University College Dublin.
| Followed by | 1 |
- FPhilippe Fournier-Viger, Assistant Professor, Dept. of Computer Science, University of Moncton, Moncton.
Mark has...
| Trusted | 0 |
| Reviewed | 0 |
| Emailed | 0 |
| Shared/re-used | 0 |
| Discussed | 0 |
| Invited | 0 |
| Collected | 2 |
- Mark Keane, Professor, School of Computer Science & Informatics, University College Dublin.
Full Text request
Your request will be sent.
Please enter your email address to be notified
when this article becomes available
Your email