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The proliferation of geo-textual data gives prominence to spatial keyword search. The basic top-k spatial keyword query, returns k geo-textual objects that rank the highest according to their textual relevance and spatial proximity to query keywords and a query location. We define, study, and provide means of
Keyword (Feature) selection enhances and improves many Information Retrieval (IR) tasks such as document categorization, automatic topic discovery, etc. The problem of keyword selection is usually solved using supervised algorithms. In this paper, we propose an unsupervised approach that combines keyword selection and
Automatic negotiation is a key problem in the autonomous multi-agent systems (MAS). How to carry out automatic multi-issue negotiation quickly and effectively has become an important problem that we must deal with in MAS. In this paper, the well-known Bazaar negotiation model is analyzed, a new idea is proposed for solving the problem of unknown or incomplete negotiation constraint information and...
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