Sorting-based menu categories

作者: Douglas Hayhoe

DOI: 10.1016/S0020-7373(05)80069-0

关键词: Artificial intelligencePairwise comparisonComputer scienceNatural language processingGoodness of fitSubject (documents)Data miningSelection (linguistics)CategorizationSorting

摘要: Several researchers have conducted sorting experiments or pairwise comparisons with a database of menu items in order to form coherent categories. However, these all contained one more the following potential weaknesses: (1) they used only particular database; (2) too few subjects; (3) uncritically scaling technique clusters; (4) did not conduct an experimental comparison categories formed. In present research, were 48 subjects and four 48-item databases: clothes, furniture, occupations, sports. Latent partition analysis hierarchical clustering (Ward's method group average linkage) These placed into “pull-down” system two conditions; titles chosen by each individual subject; investigator. Two other conditions added: formed software design experts; subject for his her own work. within-subjects performed. The sorting-based investigator superior expert selection times, errors, ”goodness fit” ratings, memory recall errors. A detailed showed that “miscategorization” errors vague category than categories, while both overlapping

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