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• W2153527563 abstract "Message filtering is one of the techniques that can help achieve scalability of wireless communication and, eventually, mobile commerce. The core of message filtering is filtering decision-making: to make decisions as to whether a specific message should be filtered or not. The filtering decision is multicriteria decision making in nature, such as analytic hierarchy process (AHP) which ranks a set of alternatives and the choice of a preferred one. Under context-aware situations, however, we are concerned that the number of contextual states is too big, resulting in an AHP model that is too big to compute efficiently. Moreover, in such a situation, user preferences on filtering are dynamic or temporal, according to the change of contexts. Hence, an idea of context-aware message filtering is proposed in this paper. However, to handle a large set of AHP models, each of which fits a specific contextual state, is still difficult. Hence, in this paper, we propose a methodology for intelligent context-aware message filtering by applying a case-based reasoning that learns to adapt to the inexact matching and AHP. Moreover, a default AHP model is generated from the user's personal preference ontology. The default AHP model is refined according to the user's feedback to revise the case base." @default.
• W2153527563 created "2016-06-24" @default.
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• W2153527563 date "2004-10-01" @default.
• W2153527563 modified "2023-09-25" @default.
• W2153527563 title "MyMessage: case-based reasoning and multicriteria decision making techniques for intelligent context-aware message filtering" @default.
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• W2153527563 doi "https://doi.org/10.1016/j.eswa.2004.05.009" @default.
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