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Top-k Sequenced Route Queries

Authors: Yutaka Ohsawa; Htoo Htoo;

Top-k Sequenced Route Queries

Abstract

Given a current point, a final destination, and visiting data point categories on a trip, a sequenced route query finds the shortest route which meets the query condition. Several algorithms have been proposed targeting to this query. When this query is used in real applications, the popularity of the visiting points (for example, restaurant, shopping center, etc.) in a trip are also important besides the length of the route. Therefore, a recommendation query method that evaluates the goodness by multiple criteria, such as the length and the popularity, is requested. This type of queries has been called Top-k query. This paper proposes a fast Top-k query method targeting to sequenced route queries.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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