Personalization and Recommendation of Queries in Multidimensional Data Base

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Provided by: International Journal of Engineering and Science Invention (IJESI)
Topic: Data Management
Format: PDF
The multidimensional data base provides the means for analyzing large volumes of data. However, the result of current query can be imperfect and obsolete and disturb users to take decision. Therefore, the authors propose to customize the results returned to the user by integrating current constraints (absolute and contextual preferences) in the process of data extraction and recommend queries from those recorded in the log file to improve their navigation. Moreover, they propose to recommend queries that seem relevant to that user thanks to queries stored in the log file.
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