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Furner, J.: User tagging of library resources : toward a framework for system evaluation (2007) 0.03

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Abstract: Although user tagging of library resources shows substantial promise as a means of improving the quality of users' access to those resources, several important questions about the level and nature of the warrant for basing retrieval tools on user tagging are yet to receive full consideration by library practitioners and researchers. Among these is the simple evaluative question: What, specifically, are the factors that determine whether or not user-tagging services will be successful? If success is to be defined in terms of the effectiveness with which systems perform the particular functions expected of them (rather than simply in terms of popularity), an understanding is needed both of the multifunctional nature of tagging tools, and of the complex nature of users' mental models of that multifunctionality. In this paper, a conceptual framework is developed for the evaluation of systems that integrate user tagging with more traditional methods of library resource description.
Date: 26.12.2011 13:29:31

Furner, J.: On Recommending (2002) 0.02
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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.

Furner, J.: Folksonomies (2009) 0.01

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Abstract: Folksonomies are indexing languages that emerge from the distributed resource-description activity of multiple agents who make use of online tagging services to assign tags (i.e., category labels) to the resources in collections. Although individuals' motivations for engaging in tagging activity vary widely, folksonomy-based retrieval systems can be evaluated by measuring the degree to which taggers and searchers agree on tag-resource pairings.

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) 0.00

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Date: 29. 8.2004 10:38:42

Furner, J.: ¬A unifying model of document relatedness for hybrid search engines (2003) 0.00

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Date: 11. 9.2004 17:32:22

Srinivasan, R.; Boast, R.; Becvar, K.M.; Furner, J.: Blobgects : digital museum catalogs and diverse user communities (2009) 0.00

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Date: 22. 3.2009 18:52:32

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