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2008
Springer

Accuracy in Rating and Recommending Item Features

9 years 5 months ago
Accuracy in Rating and Recommending Item Features
This paper discusses accuracy in processing ratings of and recommendations for item features. Such processing facilitates featurebased user navigation in recommender system interfaces. Item features, often in the form of tags, categories or meta-data, are becoming important hypertext components of recommender interfaces. Recommending features would help unfamiliar users navigate in such environments. This work explores techniques for improving feature recommendation accuracy. Conversely, it also examines possibilities for processing user ratings of features to improve recommendation of both features and items. This work’s illustrative implementation is a web portal for a museum collection that lets users browse, rate and receive recommendations for both artworks and interrelated topics about them. Accuracy measurements compare proposed techniques for processing feature ratings and recommending features. Resulting techniques recommend features with relative accuracy. Analysis indicate...
Lloyd Rutledge, Natalia Stash, Yiwen Wang, Lora Ar
Added 01 Jun 2010
Updated 01 Jun 2010
Type Conference
Year 2008
Where AH
Authors Lloyd Rutledge, Natalia Stash, Yiwen Wang, Lora Aroyo
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