Exploratory search: from finding to understanding
Communications of the ACM - Supporting exploratory search
Fast, flexible filtering with phlat
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An innovative three-dimensional user interface for exploring music collections enriched
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Elastic lists for facet browsers
DEXA '07 Proceedings of the 18th International Conference on Database and Expert Systems Applications
Mambo: a facet-based zoomable music browser
Proceedings of the 6th international conference on Mobile and ubiquitous multimedia
Personalized Faceted Navigation for Multimedia Collections
SMAP '07 Proceedings of the Second International Workshop on Semantic Media Adaptation and Personalization
Collaborative multi-paradigm exploratory search
Proceedings of the hypertext 2008 workshop on Collaboration and collective intelligence
FacetLens: exposing trends and relationships to support sensemaking within faceted datasets
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
DocuBrowse: faceted searching, browsing, and recommendations in an enterprise context
Proceedings of the 15th international conference on Intelligent user interfaces
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User recall patterns related to multi-attribute data match paradigms more suited to facet browsing than keyword-based search. Canonical keyword-based search methodologies put an undue cognitive load on the user in requiring that the user phrase his/her thoughts into keywords to be used as input for such approaches. Facet classification has been an active paradigm in recent times in enabling exploration of huge catalogs. But even after a considerable effort has gone into building sophisticated and usable models, catalog exploration has been a distant dream of the novice user. We present here a novel approach called Ray Exploration Model (REM) for creating such an interface. REM draws the best from and builds upon connected graphs and facet navigation, thus overcoming the inherent limitations in current interfaces using facet navigation. It conceptualizes the depth of each attribute in the data and breadth across the attributes in an easily navigable sun model with its rays. Together suns and rays form a network using relations between the values of attributes. REM is demonstrated using a prototype to show that it caters to search needs of a user without the limitations of the popular keyword based search approaches.