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Furner, J.: ¬A unifying model of document relatedness for hybrid search engines (2003)
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- Abstract
- Previous work an search-engine design has indicated that information-seekers may benefit from being given the opportunity to exploit multiple sources of evidence of document relatedness. Few existing systems, however, give users more than minimal control over the selections that may be made among methods of exploitation. By applying the methods of "document network analysis" (DNA), a unifying, graph-theoretic model of content-, collaboration-, and context-based systems (CCC) may be developed in which the nature of the similarities between types of document relatedness and document ranking are clarified. The usefulness of the approach to system design suggested by this model may be tested by constructing and evaluating a prototype system (UCXtra) that allows searchers to maintain control over the multiple ways in which document collections may be ranked and re-ranked.
- Date
- 11. 9.2004 17:32:22
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Furner, J.: On Recommending (2002)
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- Abstract
- By "recommending'' Furner refers to collaborative filtering where multiple user rankings of items are used to create a single new ranking for a user, or to a system itself generating rankings of items for its users. This would include document retrieval systems as a subset recommending systems in the second instance, but in the first would make document retrieval system and recommending system synonyms. Information seeking actions are classified either as evaluative (determining the worth of an item), recommending (expressing perceived worth), or informative (examining the content of an item). The task of the information retrieval system is to be to predict the particular ordering that the user would specify in a given context, given complete knowledge of the collection. Citations may be considered as the result of evaluative and recommending decisions by the author, and assigned index terms may be considered as the same sort of decisions by the indexer. The selection of relevant documents by a searcher from a list also involves evaluative and recommending decisions. This suggests that searchers should have the opportunity to bring multiple ranking techniques to bear.
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Leazer, G.H.; Montoya, R.; Furner, J.: Articulating a cultural research program for Knowledge Organization Systems (2018)
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- Date
- 17. 1.2019 18:52:29
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Furner, J.; Dunbar, A.W.: ¬The treatment of topics relating to people of mixed race in bibliographic classification schemes : a critical race-theoretic approach (2004)
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- Date
- 29. 8.2004 10:38:42
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Furner, J.: User tagging of library resources : toward a framework for system evaluation (2007)
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- Date
- 26.12.2011 13:29:31
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Srinivasan, R.; Boast, R.; Becvar, K.M.; Furner, J.: Blobgects : digital museum catalogs and diverse user communities (2009)
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- Date
- 22. 3.2009 18:52:32
