Top-k Ranking of Preference Query Results for XML Based on Similarity of Contextual States ⋆
نویسندگان
چکیده
The ranking method of XML preference query results is an important issue. For user’s preference query request, the query results are often user’s interested information. In order to satisfy the user’s personalized query requirements, this paper proposes the XML contextual preference model. When a user submits a query request, the user’s preference query results depend on the contextual conditions of the query. The context is modeled as a hierarchical structure. Based on similarity of contextual states, this paper clusters the preference queries with the similar contextual states. Furthermore, this paper proposes the top-k ranking method of preference query results. Finally, this paper presents the results of experimental evaluations which indicate the efficiency of the proposed approach.
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