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What is Precision and Recall (P&R)

Handbook of Research on Innovative Database Query Processing Techniques
It is a measure that allows knowing how good or bad is a solution in terms of effectiveness and completeness for a given set.
Published in Chapter:
Supporting Position Change through On-Line Location-Based Skyline Queries
Marlene Goncalves (Universidad Simón Bolívar, Venezuela) and Alberto Gobbi (Universidad Simón Bolívar, Venezuela)
DOI: 10.4018/978-1-4666-8767-7.ch012
Abstract
Location-based Skyline queries select the nearest objects to a point that best meet the user's preferences. Particularly, this chapter focuses on location-based Skyline queries over web-accessible data. Web-accessible may have geographical location and be geotagged with documents containing ratings by web users. Location-based Skyline queries may express preferences based on dynamic features such as distance and changeable ratings. In this context, distance must be recalculated when a user changes his position while the ratings must be extracted from external data sources which are updated each time a user scores an item in the Web. This chapter describes and empirically studies four solutions capable of answering location-based Skyline queries considering user's position change and information extraction from the Web inside an area search around the user. They are based on an M-Tree index and Divide & Conquer principle.
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