To see, or not to see— is
            <i>That</i>
            the query?

Korfhage, Robert R.

doi:10.1145/122860.122873

Cited by 68 publications

(25 citation statements)

References 3 publications

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“…Often, this will have the secondary effect of grouping documents that share this additional information. The additional information displayed highlights the relationship between the documents and the query terms [10,33]; predefined document attributes (e.g., size, date, source or popularity) [12,23]; or user-specified attributes (i.e., predefined topics) [17,24,29].…”

Section: Related Workmentioning

confidence: 99%

Grouper: a dynamic clustering interface to Web search results

1999

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Users of Web search engines are often forced to sift through the long ordered list of document "snippets" returned by the engines. The IR community has explored document clustering as an alternative method of organizing retrieval results, but clustering has yet to be deployed on most major search engines. The NorthernLight search engine organizes its output into "custom folders" based on pre-computed document labels, but does not reveal how the folders are generated or how well they correspond to users' interests.In this paper, we introduce Grouper -an interface to the results of the HuskySearch meta-search engine, which dynamically groups the search results into clusters labeled by phrases extracted from the snippets. In addition, we report on the first empirical comparison of user Web search behavior on a standard ranked-list presentation versus a clustered presentation. By analyzing HuskySearch logs, we are able to demonstrate substantial differences in the number of documents followed, and in the amount of time and effort expended by users accessing search results through these two interfaces.

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Section: Related Workmentioning

confidence: 99%

Grouper: a dynamic clustering interface to Web search results

1999

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“…Conventional IRS evaluate obtained documents based on their similarity to given query (Chalmers & Chitson, 1992). Other systems present graphic illustrations based on mutually similar documents (Jacobs et al, 2000;Salton, 1989;Thompson & Croft, 1989), specific attribute relations (Korfhage, 1991;Spoerri, 1993) and samples of terms distributed in the query (Hearst, 1995). Vector model search results may be represented by a sphere in an n-dimensional space.…”

Section: Topical Developmentmentioning

confidence: 99%

Document Compression Improvements Based on Data Clustering

Dvorský¹,

Martinovič²,

Platoš³

et al. 2010

Web Intelligence and Intelligent Agents

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“…The rectangles are displayed in varying shades of gray to highlight the existence of query terms (Hearst, 1995). Other tools that visually represent document similarities to query terms include VIBE (Korfhage, 1991) and Lyberworld (Hemmje, Clemens, & Willett, 1994). Document summarization tools create textual document previews.…”

Section: User Interfaces For Information Seekingmentioning

confidence: 99%

EBizPort: Collecting and analyzing business intelligence information

Marshall

McDonald

Chen

et al. 2004

J. Am. Soc. Inf. Sci.

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To make good decisions, businesses try to gather good intelligence information. Yet managing and processing a large amount of unstructured information and data stand in the way of greater business knowledge. An effective business intelligence tool must be able to access quality information from a variety of sources in a variety of forms, and it must support people as they search for and analyze that information. The EBizPort system was designed to address information needs for the business/IT community. EBizPort's collection-building process is designed to acquire credible, timely, and relevant information. The user interface provides access to collected and metasearched resources using innovative tools for summarization, categorization, and visualization. The effectiveness, efficiency, usability, and information quality of the EBizPort system were measured. EBizPort significantly outperformed Brint, a business search portal, in search effectiveness, information quality, user satisfaction, and usability. Users particularly liked EBizPort's clean and user-friendly interface. Results from our evaluation study suggest that the visualization function added value to the search and analysis process, that the generalizable collection-building technique can be useful for domain-specific information searching on the Web, and that the search interface was important for Web search and browse support.

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To see, or not to see— is That the query?

Cited by 68 publications

References 3 publications

Grouper: a dynamic clustering interface to Web search results

Grouper: a dynamic clustering interface to Web search results

Document Compression Improvements Based on Data Clustering

EBizPort: Collecting and analyzing business intelligence information

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