A system includes a computing platform having processing hardware and a memory storing an asset library and software code including a recommendation engine. The processing hardware executes the software code to receive, from a user, group generation data and a preferences profile of the user, the group generation data identifying a group including the user and another user, and to send, to the other user, an invitation to join the group. The processing hardware also executes the software code to receive, from the other user, one of an acceptance or a refusal of the invitation, obtain, in response to receiving the acceptance, a preferences profile of the other user, generate, using the preferences profiles of the user and the other user, a group preferences profile for the group, and identify, using the recommendation engine and the group preferences profile, one or more assets in the asset library for the group.

Systems and methods of generating, for display on a graphical user interface (GUI), a personalized advertisement. The systems and methods can include receiving data indicative of initiating a browsing session, aggregating user activity data associated with a user of the application, the user activity data including current session data and/or past session data, applying machine learning on the user activity data to generate one or more excluded products, applying the one or more excluded products to a product database to generate a list of relevant products, ranking, using one or more ranking rules, the list of relevant products to generate a ranked list of relevant products, and sending, to the mobile device, the personalized advertisement including one or more relevant products from the ranked list of relevant products.

The present disclosure is directed to facilitating privacy conscious market collaboration. A first-party computing system can access a first-party user information attribute from a first-party identified user profile associated with a first-party identified user and generate a first-party hashed user information attribute including indecipherable text by applying a predetermined hash function. The system can transmit to a third-party computing system a communication including the first-party hashed user information attribute and a payload including customer insight data. The third-party computing system can determine that a third-party hashed user information attribute associated with a third-party identified user profile includes indecipherable text that matches the indecipherable text of the first-party hashed user information attribute. The third-party computing system can provide to a third-party identified user associated with the third-party identified user profile an advertisement that is based on the customer insight data in the payload of the communication.

The present disclosure is directed to facilitating privacy conscious market collaboration. A first-party computing system can access a first-party user information attribute from a first-party identified user profile associated with a first-party identified user and generate a first-party hashed user information attribute including indecipherable text by applying a predetermined hash function. The system can transmit to a third-party computing system a communication including the first-party hashed user information attribute and a payload including customer insight data. The third-party computing system can determine that a third-party hashed user information attribute associated with a third-party identified user profile includes indecipherable text that matches the indecipherable text of the first-party hashed user information attribute. The third-party computing system can provide to a third-party identified user associated with the third-party identified user profile an advertisement that is based on the customer insight data in the payload of the communication.

Systems and methods for personalization using image clouds to represent content. Image clouds can be used to identify initial user interest, present recommended content, present popular content, present search results, and present user profile information. Image clouds are interactive, allowing users to select images displayed in the image cloud, which can contribute to presenting more personalized content as well as updating a user's profile.

In a method for delivering targeted television advertisements based on online behavior, IP addresses indicating online access devices and IP addresses indicating television set-top boxes are electronically associated for a multitude of users. Using user profile information derived from online activity from one of the online access IP addresses, a television advertisement is selected, such as by using behavioral targeting or demographic information, and automatically directed to the set-top box indicated by the set-top IP address associated with that online access IP address. Preferably neither the user profile information nor the electronic association of online access and set-top box IP addresses includes personally identifiable information.

A system and method for wireless communication of proximity based marketing is provided. The method includes determining whether a proximity device and a mobile computing device are within a first proximity to each other, wherein the proximity device is associated with at least one of a product and a service, and communicating information indicating that the proximity device and the mobile computing device are within the first proximity to each other, when it is determined that the proximity device and the mobile computing device are within the first proximity to each other.

Examples to determine media impressions using distributed demographic information are disclosed. An example apparatus includes a reporter to detect at the client device a login event. The example apparatus also includes a communication interface to send a communication to an impression monitor system in response to the reporter detecting at the client device the login event via the login webpage, the login event associated with a first Internet domain different from a second internet domain of the impression monitor system. The example communication interface also sends a login reporting message to the database proprietor, the login reporting message including first and second cookie identifiers, the first cookie identifier associated with the first Internet domain, and the second cookie identifier associated with the second Internet domain of the impression monitor system.

Systems and methods are described for identifying a subset of interest from a general population and for monitoring a database of daily activity logs associated with the general population in order to identify database entries indicative of an occurrence of a pre-defined trigger event that is associated with a member of the subset of interest. In particular, systems and methods are described that allow a massive database of daily activity logs to be monitored to identify trigger events that have occurred within the past twenty-four hours or other very recent time period. Embodiments are described that may be advantageously used by a provider of credit-related products and/or services who wishes to accurately target prospective customers, identified by the system, based on occurrence of a trigger event, as being in a decision-making phase of credit shopping, for purposes of making a timely and targeted offering relevant to the customers' current activities.

An optimized fact checking system analyzes and determines the factual accuracy of information and/or characterizes the information by comparing the information with source information. The optimized fact checking system automatically monitors information, processes the information, fact checks the information in an optimized manner and/or provides a status of the information. In some embodiments, the optimized fact checking system generates, aggregates, and/or summarizes content.