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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.
Developers and researchers in the field of context-aware computing.
By providing relevant information about the recommendation algorithm, evaluation metrics, and experimental results.
To enhance user experience by providing personalized recommendations.
Details of the recommendation algorithm, evaluation methodology, and data set used.
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