AI 2007: Advances in Artificial Intelligence
DOI: 10.1007/978-3-540-76928-6_94
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Elements of a Learning Interface for Genre Qualified Search

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Cited by 5 publications
(2 citation statements)
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“…Hierarchical organized schemata, as compared to flat lists, have the advantage that the granularity of classification can be adapted to the information task and that different levels of classification errors can be distinguished. An example for a hierarchical view on document genre is given with the branches for the high‐level genres journalism and literature as proposed in our genre hierarchy for web retrieval [1]: journalism container : commentary, review, marginal note, interview, portrait, news, feature, reportage literature container : poem, prose, drama …”
Section: Schema Of Genresmentioning
confidence: 99%
“…Hierarchical organized schemata, as compared to flat lists, have the advantage that the granularity of classification can be adapted to the information task and that different levels of classification errors can be distinguished. An example for a hierarchical view on document genre is given with the branches for the high‐level genres journalism and literature as proposed in our genre hierarchy for web retrieval [1]: journalism container : commentary, review, marginal note, interview, portrait, news, feature, reportage literature container : poem, prose, drama …”
Section: Schema Of Genresmentioning
confidence: 99%
“…Experiments [24] have shown that though most users expect genre information to be helpful for their Web search tasks, a straightforward implementation of genre-related hints does not improve user search effectiveness significantly. Moreover users can recognize distinct genres (such as catalog, FAQ, blog, or news) with high accuracy even from ordinary snippets [30].…”
Section: Introductionmentioning
confidence: 99%