Top-k Algorithm for User Preferences based on Selection Strategy
نویسندگان
چکیده
منابع مشابه
Top-k Selection based on Adaptive Sampling of Noisy Preferences
We consider the problem of reliably selecting an optimal subset of fixed size from a given set of choice alternatives, based on noisy information about the quality of these alternatives. Problems of similar kind have been tackled by means of adaptive sampling schemes called racing algorithms. However, in contrast to existing approaches, we do not assume that each alternative is characterized by...
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A variety of schemes for user preference-based Web Service selection has been developed over the years. Users provide their preferences and then receive related services by the service selection mechanisms using different schemes. The individual performance of these schemes may vary while using different quality measures under changed circumstances. In this review, focus is on Service Selection...
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ژورنال
عنوان ژورنال: International Journal of Database Theory and Application
سال: 2016
ISSN: 2005-4270,2005-4270
DOI: 10.14257/ijdta.2016.9.3.18