Abstract: The present disclosure provides methods, computer readable media, and a system comprising: a hierarchical data storage architecture comprising the following storage tiers: a first tier configured to store a data element associated with a first range of recall probability scores, and a second tier configured to store a data element associated with a second range of recall probability scores; a computing agent configured to perform the following: compute a recall probability score for the data element stored in the hierarchical data storage architecture, and affect a transfer of the data element between the first and second tier; and a graphical user interface (GUI) comprising at least one functional GUI element configured to: enable an end-user to input a desired balance between speed of data retrieval and cost of data storage, wherein the desired balance impacts the plurality of ranges of recall probability scores associated with the first and second tier.

Abstract: The present disclosure provides methods, computer readable media, and a system (the “platform”) for recall probability-based data storage and retrieval. The platform may comprise a hierarchical data storage architecture having at least one of the following storage tiers: a first tier, and a second tier; at least one computing agent, wherein the at least one computing agent is configured to: compute a recall probability for a data element stored in the data storage, and effect a transfer of the data element based on, at least in part, the recall probability, wherein the transfer of the data element is between at least the following: the first tier, and the second tier; and a graphical user interface (GUI) comprising at least one functional GUI element configured to: enable an end-user to specific a desired balance between at least one of the following elements: speed of data retrieval, and cost of data storage.