Elastic lists for facet browsers

Stefaner, Moritz; Müller, Boris

doi:10.1109/dexa.2007.4312889

Cited by 9 publications

(11 citation statements)

References 0 publications

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“…Perception of change is especially important for facet browsing, as the sudden disappearance of list items after click can be a source for misconceptions and confusion. The Elastic Lists facet browser [278] demonstrates how smooth transitions can help in understanding filtering processes. The Elastic Lists facet browser [278] demonstrates how smooth transitions can help in understanding filtering processes.…”

Section: Animated Transitionsmentioning

confidence: 99%

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Dynamic Taxonomies and Faceted Search

Sacco¹,

Tzitzikas²

2009

The Information Retrieval Series

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PrefaceCurrent search paradigms for the Web, direct access through search engines and navigational access via static taxonomies, have recently been strongly criticized. A third paradigm, dynamic taxonomies or faceted search, is gaining acceptance to the extent that it is now the de facto standard in product selection for e-commerce.This new paradigm is based on a simple and easily understood visual environment which supports both direct access and guided exploration of complex information bases. While focusing on structured, guided exploration, it also bridges the gap between traditional querying and browsing. In general, query services are either too simplistic (e.g. free text queries in IR systems or Web search engines), or too complex for casual users (e.g. SQL queries, or Semantic Web queries). Browsing as well, is either too simplistic (e.g. "plain" Web links) or application specific (dynamic pages derived by specific application programs), and does not support conceptual exploration.Dynamic taxonomies work on multidimensional taxonomies (usually organized by facets) and provide a single, coherent visual framework in which users can focus on one or more concepts in the taxonomy, and immediately see a conceptual summary of their focus, in the form of a reduced taxonomy derived from the original one by pruning unrelated concepts. Concepts in the reduced taxonomy can be used to set additional, dependent foci and users iterate in a guided yet unconstrained way until they reach a result set sufficiently small for manual inspection.The access paradigm supported is a conceptual exploration, far more frequent in "search" tasks than the retrieval by exact specification supported by search engines and database queries. The underlying model is simple and easily understood by users, offers substantial benefits over traditional approaches, and has an extremely wide application range, and a potential for important extensions. Dynamic taxonomy/faceted search is a heavily interdisciplinary area, where data modeling, human factors, logic, inference, and efficient implementations must be considered holistically.The goal of this book is to provide a complete and clear guide to all of the relevant aspects of dynamic taxonomies and faceted search. These include modeling, user interaction, taxonomy design, system implementation, and performance. The primary audience for this book are university students, professionals, and researchers in computer science and computer engineering who are interested in understanding and applying dynamic taxonomies, possibly in combination with other access methods, in real environments. The book may be of interest also to university students, professionals and researchers in Library and Information Science.The book is organized as follows. Chapter 1 introduces dynamic taxonomies and faceted search. Chapter 2 formally describes faceted taxonomy-based sources. In vii viii Preface Chap. 3, dynamic taxonomies and faceted search are compared to other techniques including information retrieval, OLAP, dy...

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Section: Animated Transitionsmentioning

confidence: 99%

“…In the Elastic Lists prototype [278], the height of a list item indicates the relative proportion of items associated with the respective metadata value in the given context (see Fig. 4.16).…”

Section: Visualizing Proportionsmentioning

confidence: 99%

Dynamic Taxonomies and Faceted Search

Sacco¹,

Tzitzikas²

2009

The Information Retrieval Series

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“…Tagging is the process of assigning freely chosen text labels to objects, typically digital resources [9], which here are the contributors' documents. Storylines are collections of documents organized chronologically by each user.…”

Section: Collecting and Postingmentioning

confidence: 99%

“…As typical for facet browsing mechanisms [9], this allows different aspects of documents to be accessed in parallel. When one attribute is selected, all metadata attribute fields are restricted only to values occurring together with the selected attribute, and the user never encounters empty result sets.…”

Section: Filtering and Browsingmentioning

confidence: 99%

{hi}stories

Pschetz

2008

CHI '08 Extended Abstracts on Human Factors in Computing Systems

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With more and more digital information being produced by individuals every day, we will soon be able to use it to understand the past. Based on this premise this paper presents {Hi}Stories, a system to support the creation and access of user generated contents as historical evidences. In {Hi}Stories users aggregate contents from Internet and are invited to contribute their own material. It combines a number of research themes: collaborative information structuring, combination of contents from online services, and visualization and browsing of structured information collections.

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“…For example, dynamic queries can offer tightly-coupled filters for visualizations [1], and visual representations can indicate query term combinations [24]. More recently, there has been work at the intersection between faceted navigation and information visualization [9,18,25]. Visualizations for query formulation and faceted navigation allow for sophisticated filtering, however they typically separate the visualization from the results.…”

Section: Introductionmentioning

confidence: 99%

Fluid Views

Dörk

Carpendale

Williamson

2012

Proceedings of the International Working Conference on Advanced Visual Interfaces

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We present Fluid Views, a web-based search environment designed to bridge overview and detail by integrating dynamic queries, semantic zooming, and dual layers. The most common form of search results is long ranked and paginated lists, which are seldom examined beyond the top ten items. To support more exploratory forms of information seeking, we bring together the notion of relevance with the power of visual encoding. In Fluid Views, results portray relevance via size and detail in a dynamic top layer and semantic similarity via position on a base map. We designed Fluid Views with temporal, spatial, and content-defined base maps for both textual and visual resources, and tested our prototype system on books, blogs, and photos. Interviews with library professionals indicate the potential of Fluid Views for exploring collections and exciting directions for future research. KeywordsInformation visualization, information seeking, Web search, zoomable user interface, level of detail, exploratory search.

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Elastic lists for facet browsers

Cited by 9 publications

References 0 publications

Dynamic Taxonomies and Faceted Search

Dynamic Taxonomies and Faceted Search

{hi}stories

Fluid Views

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