Abstract: A system can include a tap wall that has multiple screens for display product images to customers. The tap wall can be populated by a server. The tap wall can prompt a user to visit an address on their user device. The address can direct the user device to the server, allowing the server to open a socket communication with both the user device and the tap wall. The server can access a first party cookie on the user device and display products on the tap wall based on products associated with the first party cookie. A user can build a collection of products both in-store and out-of-store that get associates with the cookie. The user can remain anonymous while the system does makes relevant product recommendations on the tap wall based on the user's entire browsing experience.

Abstract: Systems herein allow a store to make store-specific product recommendations to customers who are in the store. The system builds a graph database of relationships between products based on sales data, such as invoices. The relationships are stored as edges with store-specific edge values. Store similarities are determined by a genetic algorithm that creates a candidate solution that includes an array of weights for each store, representing that store's similarity with the other stores. The system includes a recommendation engine that receives a recommendation request identifying a target store and a target product. Based on that, the corresponding edges are retrieved, the edge values are weighted based on the candidate solution, and the highest-weighted connected products are recommended.

Abstract: Systems herein allow a store to make store-specific product recommendations to customers who are in the store. The system builds a graph database of relationships between products based on sales data, such as invoices. The relationships are stored as edges with store-specific edge values. Store similarities are determined by a genetic algorithm that creates a candidate solution that includes an array of weights for each store, representing that store's similarity with the other stores. The system includes a recommendation engine that receives a recommendation request identifying a target store and a target product. Based on that, the corresponding edges are retrieved, the edge values are weighted based on the candidate solution, and the highest-weighted connected products are recommended.

Abstract: A system can include a tap wall that has multiple screens for display product images to customers. The tap wall can be populated by a server. The tap wall can prompt a user to visit an address on their user device. The address can direct the user device to the server, allowing the server to open a socket communication with both the user device and the tap wall. The server can access a first party cookie on the user device and display products on the tap wall based on products associated with the first party cookie. A user can build a collection of products both in-store and out-of-store that get associates with the cookie. The user can remain anonymous while the system does makes relevant product recommendations on the tap wall based on the user's entire browsing experience.

Abstract: A scoring probability system for determining the probability of a user to convert an action based upon a single score related to that user. The scoring probability system provides attribution to each channel responsible for leading to a conversion based upon the single score.

Abstract: A scoring probability system for determining the probability of a user to convert an action based upon a single score related to that user.

Abstract: The method represents a plurality of independent data items. The method first assigns a multi-dimensional iconic representation to each data item, then alters at least one dimension of each iconic representation according to a change in a corresponding state of the corresponding data item.

Abstract: Disclosed is a method for displaying a plurality of objects on a display (105). Each object has at least a first attribute and a second attribute. The method sets a range of first attributes to be displayed. A set of objects is then displayed having the same second attribute on a radial line of an ellipse based on a comparison between the range and the first attribute of the objects. Desirably the method is used for displaying information regarding a plurality of broadcast programs on the display, each broadcast program having attributes comprising at least time of transmission and channel of transmission. In that implementation a display period is set. The method then compares the time of broadcast transmission of one or more programs with the display period and then displays (eg. 600) information regarding a set of programs (602, 604, 606) having the same channel of transmission (eg. 12) on at least one radial line of an ellipse, based on the comparison.

Abstract: According to some embodiments, advertising response information is collected for a search keyword, the advertising response information being associated with a plurality of users and a plurality of ranked positions in a list of advertisements presented to users. A non-linear function may then be performed on the advertising response information to predict advertising response information for at least one rank position.

Abstract: The method represents a plurality of independent data items. The method first assigns (1240) a multi-dimensional iconic representation to each said data item, then alters (1240) at least one dimension of each iconic representation according to a change in a corresponding state of the corresponding data item.

Abstract: An undirected graph is generated based on a set of finite n-dimensional space curves. One or more traversal modulations are selected and a directed graph is created by traversing the edges of the undirected graph and determining a direction, either a forward direction or a reverse direction, for each edge in accordance with the selected traversal modulations. The method then re-orientates the set of finite n-dimensional space curves in accordance with the directed graph.