Notification:
We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

From User Query to User Model and Back: Adaptive Relevance-Based Visualization for Information Foraging

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Jae-wook Ahn ; Univ. of Pittsburgh, Pittsburgh ; Brusilovsky, P.

Adaptive information filtering is a promising tool for both casual Web news readers and professional intelligence analysts. Adaptive filtering augments the traditional query- or profile-based rankings provided by search engines. An interesting research challenge in this context is to offer users more control over the rankings by letting them mediate between the two extremes - query- and profile-based rankings. To address this challenge, we developed an adaptive relevance-based visual exploration tool based on the VIBE (visual information browsing environment) visualization approach, which was previously developed at our School. This paper presents the rationale and functionality of this visual exploration tool and reports the results of its preliminary evaluation.

Published in:

Web Intelligence, IEEE/WIC/ACM International Conference on

Date of Conference:

2-5 Nov. 2007