Abstract: A method, system, and program product, for determining related search terms for a domain, comprising: receiving a request for related search terms for a domain, obtaining click data on the domain for initial related search terms determined for the domain, obtaining revenue generation data for each of a plurality of the initial related search terms; determining a first set of the initial related search terms with a highest revenue or ad clicks generation; generating a second set of new related search terms, comprising: obtaining keywords that are semantically relevant, obtaining how many advertisements are targeted to the respective keyword, and obtaining for each of multiple of the respective keywords an amount that advertisers have paid over a period of time for use of the respective keyword.

Abstract: The systems and methods may be used to recommend an item to a consumer. The methods may comprise determining, based on a collaborative filtering algorithm, a consumer relevance value associated with an item, and transmitting, based on the consumer relevance value, information associated with the item to a consumer. A collaborative filtering algorithm may receive as an input a transaction history associated with the consumer, a demographic of the consumer, a consumer profile, a type of transaction account, a transaction account associated with the consumer, a period of time that the consumer has held a transaction account, a size of wallet, and/or a share of wallet. The method may further comprise generating a ranked list of items based upon consumer relevance values, transmitting a ranked list of items to a consumer, and/or re-ranking a ranked list of items based upon a merchant goal.

Abstract: The systems and methods may be used to recommend an item to a consumer. The methods may comprise determining, based on a collaborative filtering algorithm, a consumer relevance value associated with an item, and transmitting, based on the consumer relevance value, information associated with the item to a consumer. A collaborative filtering algorithm may receive as an input a transaction history associated with the consumer, a demographic of the consumer, a consumer profile, a type of transaction account, a transaction account associated with the consumer, a period of time that the consumer has held a transaction account, a size of wallet, and/or a share of wallet. The method may further comprise generating a ranked list of items based upon consumer relevance values, transmitting a ranked list of items to a consumer, and/or re-ranking a ranked list of items based upon a merchant goal.

Abstract: The systems and methods may be used to recommend an item to a consumer. The methods may comprise determining, based on a collaborative filtering algorithm, a consumer relevance value associated with an item, and transmitting, based on the consumer relevance value, information associated with the item to a consumer. A collaborative filtering algorithm may receive as an input a transaction history associated with the consumer, a demographic of the consumer, a consumer profile, a type of transaction account, a transaction account associated with the consumer, a period of time that the consumer has held a transaction account, a size of wallet, and/or a share of wallet. The method may further comprise generating a ranked list of items based upon consumer relevance values, transmitting a ranked list of items to a consumer, and/or re-ranking a ranked list of items based upon a merchant goal.

Abstract: Systems, methods, and non-transitory computer-readable storage media for interaction-aware advertising to minimize banner blindness. First, the system concurrently displays, via a graphical user interface, an advertisement and application content. Next, the system detects a user interaction with the application content. Based on the user interaction, the system then locks the advertisement within a viewable area of display for concurrent display at the graphical user interface with a portion of the application content, wherein the advertisement is configured to remain locked until an unlocking event is detected.