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To deal with the problem of many-answers returned from an E-commerce Web database in response to an approximate query, this paper proposes a novel approach to rank the approximate query results. Based on the database workload, we speculate how much the user cares about each attribute and assign a corresponding weight to it. Then, based on the similarity of different attribute values, a satisfaction...
An important issue arising from Web databases fuzzy query is how to rank the answers from data sources, this paper investigates the problem of ranking the answers by taking advantage of the user's needs and preferences. Firstly, based on fuzzy set theory, a satisfaction degree ranking method, which ranks the answer according to the tuple's satisfaction degree to the fuzzy query, is presented. Next,...
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