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CONTEXT AWARE APP RECOMMENDATION USING EMAIL SEMANTIC ANALYSIS BY TANG ZI CONGA REPORT SUBMITTED TO University Tank Abdul Rahman in partial fulfillment of the requirements for the degree of BACHELOR
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It provides recommendations based on the user's context such as location, time, and past behavior.
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Developers and researchers in the field of context-aware computing.
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By providing relevant information about the recommendation algorithm, evaluation metrics, and experimental results.
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To enhance user experience by providing personalized recommendations.
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Details of the recommendation algorithm, evaluation methodology, and data set used.
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