Top-k aggregator
نویسندگان
چکیده
In this paper we describe a tool named top-k aggregator. Using this tool we can retrieve some best objects with respect to user requirements. User can say which values of properties of offers (e.g. salary, education requirement, place, working hours per week) are interesting for him or her, how much and also which are not interesting. Another form of user specification can be made by evaluation of some objects in a training set. Individual properties can be, in some case, stored on different sources. We need to have an algorithm, that can return user dependent top k objects with small number of accesses to the sources, thus without retrieving all the sources. We can use this tool also for aggregation of different forms of searching.
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