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Top-k preferences in high dimensions
2014
2014 IEEE 30th International Conference on Data Engineering
Given a set of objects O, each with d numeric attributes, a top-k preference scores these objects using a linear combination of their attribute values, where the weight on each attribute reflects the interest in this attribute. Given a query preference q, a top-k query finds the k objects in O with highest scores with respect to q. Given a query object o and a set of preferences Q, a reverse top-k query finds all preferences q ∈ Q for which o becomes one of the top k objects with respect to q.
doi:10.1109/icde.2014.6816697
dblp:conf/icde/YuAY14
fatcat:gojudjqbtzb5vaqoanirogkwnu