Multi-user Searching of Top-k Objects with Data on Remote Servers
In this paper, the authors focus on searching the best k objects with more attributes according to user preferences in the Web environment. Attributes of an object type are distributed on servers in a disjunctive way, i.e. values of one attribute are stored in only one remote server on the Internet. In their paper, every user can express their preferences for each attribute by a fuzzy function and mutual relations between the attributes by an aggregation function. They use client/server architecture and communication via Web Services.