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THE PERSONALIZATION AND PREDICTION INNOVATION OF MOBILE RECOMMENDER SYSTEMS
2014
Issues in Information Systems
With the advent of the Internet, the ability to retrieve and use information has become ubiquitous, but the amount of information available has also grown exponentially. This information growth has caused information overload for users trying to sift through the information to find the best options that will meet their needs, thus recommendation systems were developed. The current recommendation systems are rudimentary in function and are basically able to provide suggestions for similar
doi:10.48009/2_iis_2014_168-174
fatcat:p6g7t3mz6ffmhin4ffpo3dluai