Abstract: One or more computing devices, systems, and/or methods for providing content sharing recommendations are provided. For example, signals, associated with a user (e.g., a location of the user, an event occurring near the user, an activity being performed by the user, content of a message recently received by the user or being composed by the user, etc.), are evaluated to identify a context associated with the user (e.g., the user may be composing a social network post about a basketball game that the user is attending). The context is applied to content (e.g., photos, videos, documents, webpages, etc.), available to the user, to create contextualized content indicative of how appropriate or relevant such content is given the context (e.g., a basketball game photo may be more relevant than a work document). A content sharing recommendation of contextualized content may be provided to the user.

Abstract: One or more computing devices, systems, and/or methods for providing content sharing recommendations are provided. For example, signals, associated with a user (e.g., a location of the user, an event occurring near the user, an activity being performed by the user, content of a message recently received by the user or being composed by the user, etc.), are evaluated to identify a context associated with the user (e.g., the user may be composing a social network post about a basketball game that the user is attending). The context is applied to content (e.g., photos, videos, documents, webpages, etc.), available to the user, to create contextualized content indicative of how appropriate or relevant such content is given the context (e.g., a basketball game photo may be more relevant than a work document). A content sharing recommendation of contextualized content may be provided to the user.

Abstract: Computer-implemented methods for providing recommendations for a given user. The computer-implemented method employs some or all of machine learning, collaborative filtering, clustering, profile data from the given user, profile data from other users, feedback data from the given user from past interactions, and feedback data from other users from past interactions to more accurately provide recommendations to the given user.

Abstract: Apparatuses and methods backward compatible with existing card processing infrastructure are provided to furnish dynamically configurable data to a card reader to facilitate transactions such as credit card transactions. The inventive apparatuses and methods are operable even with card readers configured to read statically implemented data, such as statically implement magnetic stripe data and/or statically printed bar codes. Techniques are also provided to take advantage of features of the inventive apparatus and method to substantially reduce or to eliminate transaction fraud and to improve efficiency for cardholders, card issuers, and intermediary institutions.

Abstract: Apparatuses and methods backward compatible with existing card processing infrastructure are provided to furnish dynamically configurable data to a card reader to facilitate transactions such as credit card transactions. The inventive apparatuses and methods are operable even with card readers configured to read statically implemented data, such as statically implement magnetic stripe data and/or statically printed bar codes. Techniques are also provided to take advantage of features of the inventive apparatus and method to substantially reduce or to eliminate transaction fraud and to improve efficiency for cardholders, card issuers, and intermediary institutions.