One or more computing devices, systems, and/or methods are provided. In an example, purchase data associated with users may be determined. The purchase data may be indicative of purchases by users from entities. The purchase data may be analyzed to determine purchase metrics associated with the users. The purchase metrics may be analyzed to determine sets of groups of users associated with the entities. One or more groups of users, of the sets of groups of users, that include the user may be determined. Content may be selected for presentation via a first device associated with the first user based upon the one or more groups of users.

Provided are methods and systems related to communications between a social media service or provider (e.g., Twitter®, Facebook®) or other resource (e.g., web page) and one or more content providers. In an aspect, provided are methods, comprising receiving user information and a user agnostic identifier, providing an access element configured to provide access to content from a content provider based on the user information and the user agnostic identifier, receiving, from the content provider, a notification indicative of a user interaction with the content based on a user accessing the content, and tracking user behavior based on at least one of the user information, the user agnostic identifier, the access element, and the notification.

A content consumption monitor (CCM) generates intent data that identifies topics of real-time interest to users. The CCM uses the intent data to direct information to more interested audiences and reduce the information noise/overload that may prevent users from viewing information. This targeted information may increase user conversion rates for seminars, advertising, documents downloads, or any other activity associated with published information. In one example, the CCM generates the intent data from third party content. Using a wide variety of third party content enables the CCM to better identify current user interests. The CCM may aggregate the intent data for different demographics, such as for companies, job positions, age, gender, or geographic locations.

An equipment rental system comprising a kiosk, the kiosk comprising a user interface configured to receive user input and provide outputs to a user, a processor configured to receive the user input from the user interface, generate user output and control a locker system; and a locker system configured to store the equipment and allow access to the equipment under control of the processor, the processor configured to: receive log in and credential information form a user via the user interface, present the user a choice of equipment, receive a selection of equipment through the user interface, gather payment information from the user through the user interface, wherein the payment information corresponds to a period of use for the selected equipment, and control the locker system to make the selected equipment available to the user.

Example methods and apparatus for associating media devices with a demographic composition of a geographic area are disclosed. Disclosed example apparatus are to obtain a plurality of Internet Protocol addresses assigned to a media device associated with a panel member. Disclosed example apparatus are also to determine a most used Internet Protocol address from the plurality of Internet Protocol addresses, determine a geographic location corresponding to the most used Internet Protocol address, associate a geographic area with the media device in response to a determination that the geographic location corresponds to a location of an internet service provider, determine a demographic profile associated with the geographic area, and associate the demographic profile with the media device.

Provided is an apparatus for deriving a social relation between accounts based on a transaction ledger, which includes: a data storage unit storing account information, software for deriving an inter-account social relation, and inter-account social relation information; and a processor deriving the social relation between the accounts based on a transaction ledger generated by transactions among users with the accounts.

In an approach to longevity management of social network data, a computer detects a posting of a social artifact by a first user of a social network. A computer stores the social artifact with associated identification information. A computer stores activity associated with the social artifact by one or more other users. A computer detects a status change in an account associated with the first user, wherein the status change indicates the first user is not active in the social network. In response to detecting the status change, a computer determines a second user from the one or more other users to which to transfer the social artifact based on the social artifact, the associated identification information, and the activity associated with the social artifact by the one or more other users. A computer transfers the social artifact to an account associated with the second user on the social network.

One or more computing devices, systems, and/or methods for content recommendation based upon continuity and grouping information of attributes are provided herein. User interaction data specifying whether users interacted with content items, user attributes of the users, and content attributes of the content items is obtained. A data structure is populated with the user interaction data. The data structure is modified by inserting a set of sub-fields into the data structure for a user attribute. A sub-field is populated with a value representing an option of the user attribute. The set of sub-fields are an encoding of continuity information and grouping information representing options for the user attribute. The data structure is processed using machine learning functionality to generate a model. The model is utilized to generate a prediction as to whether a user will interact with a content item.

Systems and methods are provided for object identifier translation using a key pairs platform in a virtualized or cloud-based computing system. A key pair refers to a pair of identifiers held by an entity. Each key pair includes at least one anonymized object identifier. Advantageously, the key pair system protects privacy and provides anonymity for objects by not disclosing the identity of the objects or the underlying data associated with the objects.

A trade exchange system and method provide transparency and accountability for each idea producer and each follower of each idea producer with respect to trades executed based on a trade idea circulated by the idea producer. The trade exchange system and method may use application-programming interfaces (APIs) to gather data from a brokerage entity in order to verify the trades executed in response to the trade idea by the idea producer and the follower.