Internet browsing and searching: User evaluations of category map and concept space techniques

Chen, Hsinchun; Houston, Andrea L.; Sewell, Robin; Schatz, Bruce R.

doi:10.1002/(sici)1097-4571(1998)49:7<582::aid-asi2>3.0.co;2-v

Cited by 130 publications

(110 citation statements)

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“…The adaptive version of an MWVD in particular is interesting in that it has an isotropic distance function. By this we mean that unlike the solutions, for example, by Chen [17] and the squarified treemaps discussed earlier, the 'reach' of a generator extends equally in all directions. Particularly in cases where we have no good reason to assume distance functions that are anisotropic, a partitioning scheme that does not favor any direction over another is preferable.…”

Section: Resultsmentioning

confidence: 99%

“…With the advance of the World Wide Web and the availability of large information and document spaces [15], [21], [22] and digital libraries [6], [10], new applications in need of area partitioning have emerged; in particular the construction and delineation of information spaces [1], [13], [17], [18], [23], [26], [39], [40], [44], [47], [48].…”

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confidence: 99%

“…are located. Chen [15], Börner et al [11] and Dodge and Kitchin [22] discuss a variety of methods to accomplish this, ranging from traditional factor analytic [23], [41] and multidimensional scaling models [13], [47] to two-and three-dimensional tree maps [4], [5], [12], [25], [28], [46] and self-organizing maps [16], [17], [33] - [36], [48]. Several of these approaches not only address the reconstruction of the spaces and the placement of information items in them, but also attempt to partition the resultant space into distinct regions, mostly so that the regions' areas reflect the magnitude or extent of their contents; for instance, expressed as the number of items they contain.…”

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confidence: 99%

“…Figures 1 and 2 illustrate this. [17] (Permission to reprint by Chen) Figure 1 shows ET-Map by Chen et al [17]. In this mapping, the various regions represent groups of documents of a specific type or aspect of entertainment.…”

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confidence: 99%

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Weight-proportional Space Partitioning Using Adaptive Voronoi Diagrams

2007

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Traditional application of Voronoi diagrams for space partitioning results in Voronoi regions, each with a specific area determined by the generators' relative locations and weights. Particularly in the area of information space (re)construction, however, there is a need for inverse solutions; i.e., finding weights that result in regions with predefined area ratios. In this paper, we formulate an adaptive Voronoi solution and propose a raster-based optimization method for finding the associated weight set. The solution consists of a combination of simple, fixed-point iteration with an optional spatial resolution refinement along the regions' boundaries using quadtree decomposition. We present the corresponding algorithm and its complexity analysis. The method is successfully tested on a series of ideal-typical cases and the interactions between the adaptive technique and boundary resolution refinement are explored and assessed.

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Section: Resultsmentioning

confidence: 99%

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confidence: 99%

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Weight-proportional Space Partitioning Using Adaptive Voronoi Diagrams

2007

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“…User study (36 subjects) found speed improvements and user preference over ranked list CategoryMap (Chen et al, 1998) SOM based clustering and visualization of documents…”

Section: Clustering Based Presentation Of Search Resultsmentioning

confidence: 99%

Clustering-Based Visual Interfaces for Presentation of Web Search Results: An Empirical Investigation

Turetken

Sharda

2005

Inf Syst Front

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The result of a typical web search is often overwhelming. It is very difficult to explore the textual listing of the resulting documents, which may be in the thousands. In order to improve the utility of the search experience, we explore presenting search results through clustering and a zoomable two-dimensional map (zoomable treemap). Furthermore, we apply the fisheye view technique to this map of web search clusters to provide details in context. In this study, we report on our evaluation of these presentation features. The particular interfaces evaluated were:(1) a textual list, (2) a zoomable two-dimensional map of the clustered results, and (3) a fisheye version of the zoomable twodimensional map where the results were clustered. We found that subjects completed search tasks faster with the visual interfaces than with the textual interface, and faster with the fisheye interface than just the zoomable interface. Based on the findings, we conclude that there is promise in the use of clustering and visualization with a fisheye zooming capability in the exploration of web search results.

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What is information discovery about?

Proper¹,

Bruza

1999

J. Am. Soc. Inf. Sci.

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The Internet has led to an increase in the quantity and diversity of information available for searching. Furthermore, users are bombarded by a constant barrage of electronic messages in the form of e-mail, faxes, etc. This has led to a plethora of search engines, "intelligent" agents, etc., that aim to help users in their quest for relevant information, or shield them against irrelevant information. All these systems aim to identify the potentially relevant information in among a large pool of available information. No unifying underlying theory for information discovery systems exists as yet. The aim of this article is to provide a logic-based framework for information discovery, and relate this to the traditional field of information retrieval. Furthermore, the often ignored user receives special emphasis. In information discovery, a good understanding of a user's (sometimes hidden) needs and beliefs is essential. We will develop a logic-based approach to express the mechanics of information discovery, while the pragmatics are based on an analysis of the underlying informational semantics of information carriers and information needs of users.

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Internet browsing and searching: User evaluations of category map and concept space techniques

Cited by 130 publications

References 50 publications

Weight-proportional Space Partitioning Using Adaptive Voronoi Diagrams

Weight-proportional Space Partitioning Using Adaptive Voronoi Diagrams

Clustering-Based Visual Interfaces for Presentation of Web Search Results: An Empirical Investigation

What is information discovery about?

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