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TAMU CSCE 315 - results-interface

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Interfaces for Retrieval ResultsInformation Retrieval ActivitiesEvaluating Retrieval ResultsDocument SurrogatesExample SurrogatesRanked ListDocument Relation to QueryPopout PrismSlide 9Keyword in Context (KWIC)TileBarsSlide 12SeeSoftSlide 14Relative Query Term RelationsInfoCrystalVIBESuperbookSlide 19Categories for Retrieval ResultsDynaCatHyperlinks for Retrieval ResultsCha-ChaMapuccinoTable Views for Retrieval ResultsEnvisionTableLensSummaryInterfaces for Retrieval ResultsInformation Retrieval ActivitiesSelecting a collection–Talked about last class–Lists, overviews, wizards, automatic selectionSubmitting a request–Balancing expressiveness and usability–Command line, graphical, and NL interfacesExamining the response–Comprehension–Contextual displaysEvaluating Retrieval ResultsSelecting among returned documents–Requires partial understanding of documents without looking at whole documentTo provide understanding of documents:–Show relations to query terms–Show in collection overviews–Provide descriptive metadata–Indicate document structure–Indicate the hyperlink structure–Indicate relations between returned documentsDocument SurrogatesResulting documents are presented by partial information about document–Important metadata (title, date, source)–Selected chunks of document–Thumbnail images of documentsSome systems provide short and long document surrogates.Normally, clicking on a surrogate causes the document to be displayed.Example SurrogatesRanked ListDocument Relation to QuerySimple ways to indicate relation:–Select snippet with query terms–Highlight query terms in document display (thumbnail or whole)–Scroll to first occurrence of query termPopout PrismPopout PrismKeyword in Context (KWIC)KWIC document surrogates–Phrases and sentences with query terms are extracted–These snippets are presented along with metadataDesign issues–Deciding how many and which occurrences of keywords to show–Use query term weights, if any–Evidence indicates selecting text segments with largest number of query terms that appear near beginning of documentTileBarsTileBars is a compact visualization of documents’ relation to query terms.Document surrogate is a rectangular bar divided into a matrix/table–Rows correspond to query facets–Columns are sections of document–Darkness in each row/column position indicates the occurrence of that facet in that portion of the document.TileBarsSeeSoftVisualization where each line of document is visualized as line in graphical columnColor indicates characteristics of the line.Originally developed to help understand program codeApplied to document analysis and text retrievalSeeSoftRelative Query Term RelationsPrior set of systems present individual documents and their relation to query termsTo present a larger number of results–Visually represent sets of documents–Indicate sets’ relations to query termsExamples–InfoCrystal–VIBEInfoCrystalVIBESuperbookUses a table of contents to indicate where query terms appear–Requires document structureCategories for Retrieval ResultsPresent results in groups based on some categorization–Categories can be based on metadata–Categories canbe inferred–Categories canbe chosen basedon query type(DynaCat)DynaCatHyperlinks for Retrieval ResultsPresent navigational links between retrieved documents–Relies on links between documents–Most often used for searching a single web site (or similar repository)Examples–Cha-Cha–MapuccinoCha-ChaMapuccinoTable Views for Retrieval ResultsCategory and link views present only one type of interdocument relationDocuments have many different potential relationsTabular views can provide an overview of a set of relations–Each row is a document–Each column is an attribute (metadata field or other)–Content of table indicates values and relations between valuesExamples–Envision–TableLensEnvisionTableLensSummaryUsers must partly understand retrieval results to select which to view.Techniques:–Highlighting and scrolling indications of relations to search terms (snippets, Google cache, Popout Prism)–Set-based views in relation to search terms (InfoCrystal, VIBE)–Visualization of search terms in sections (TileBars, SeeSoft, SuperBook)–Categorization of results (DynaCat, clusty.com)–Hyperlinks between results (Cha-Cha, Mapuccino)–Table views of results (Envision,


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TAMU CSCE 315 - results-interface

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