Today’s user wants to browse efficiently through huge personal collections made possible due to the easy and economical availability of digital cameras and immense storage at lower prices. The proliferation of low cost multimedia devices has resulted in an unprecedented growth of personal data which may or may not be interrelated, is heterogeneous and unstructured. Personal collections can be in various forms and the variety and the amount of personal information that an individual deals with everyday is growing constantly. Full use and benefits of such collections are meaningless if the retrieval and access methods are limited and ineffective. It is labour as well as time intensive to select specific data for sharing or for personal use given the sheer size of these collections. We present a review of personalized information learning tools.

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Keywords: Information, Personalized, Retrieval, Small Data Set, Training, Samples.