A Cloud-Based Venue Recommendation Framework on MobiContext
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چکیده
In this paper demonstrate MobiContext, a hybrid cloud-based Bi-Objective Recommendation Framework(BORF).The MobiContext utilizes multi-objective optimization techniques to create modified recommendations.To address the issues pertaining to cold start and datasparse,the BORF performs data preprocessing by using the Hub-Average(HA) inference method and the Weighted Sum Approachis implemented for scalar optimization and vector optimization to provide finest suggestions to the users about a venue.The results of complete experiments on a large-scale real data set verify the accuracy of the proposed recommendation framework.
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