A system and method for presenting advertising, the method including but not limited to presenting on a first end user device, a first personalized advertisement in a first avatar's view of a virtual world and presenting on a second end user device, a second personalized advertisement in a second avatar's view of the virtual world. Other embodiments are disclosed.

There is provided systems and method for offline ecommerce purchases using an item catalog for a user. A user may receive a catalog of items from a server, such as a merchant server and/or payment provider server, at a user device while the user device is connected to a network. The catalog of items may be transmitted to the user prior to the user entering an offline mode with the user device, where the user device is no longer connected to the network. While the user device operates in the offline mode, the user may browse the catalog and select items to purchase. On a future connection to the network, the user device may transmit a purchase request for the selected items to the merchant server and/or payment provider server.

Provided is computer-implemented process, the process including: accessing an offers engine user profile associated with a user and an offers engine, the offers engine user profile comprising a plurality of attributes associated with customization of an offers interface, the offers interface configured to provide a plurality of merchant offers; receiving over a network from a first user device and a first session of the offers interface a modification to an attribute of the plurality of attributes of the offers-engine user profile; storing the modified attribute in the offers-engine user profile; receiving over a network a request to access the offers interface in a second session from a second user device; modifying, with a processor, the offers interface based on the modified attribute to produce a customized offers interface; and transmitting over a network the customized offers interface to the second user device for use in the second session.

Systems and methods for profile matching and promotion. Location-related data and other profile characteristics are used for promotion and for matching of businesses, venues and other entities with user specified criteria.

First and second cookies are obtained from first and second devices, respectively. The first cookie includes a first ID corresponding to a registered user ID, which is in turn associated with first information indicating activities related to interactions of a registered user with a first website. The second cookie includes a second ID corresponding to an anonymous user ID, which is in turn associated with second information identifying activities related to interactions of an anonymous user with a second website. The first and second user IDS, and the first and second information, are stored in a database, and correlated to determine commonalities. In response to identifying at least one commonality a determination is made, based on the at least one commonality, that the registered user and the anonymous user are a single user. The database is updated to include a unified listener identifier (ULID) that links the registered user ID with the anonymous user ID.

A computer system receives customer records listing customer attributes and an adoption status of the customer, such as whether the customer has enrolled in a particular energy efficiency program. An initial set of patterns are identified among the customer records, such as according to a decision tree. The initial set is pruned to obtain a set of patterns that meet minimum support and effectiveness and maximum overlap requirements. The patterns are assigned to segments according to an optimization algorithm that seeks to maximize the minimum effectiveness of each segment, where the effectiveness indicates a number of customers matching the pattern of each segment that have positive adoption status. The optimization algorithm may be a bisection algorithm that evaluates a linear-fractional integer program (LFIP-F) to iteratively approach an optimal distribution of patterns.

Methods and apparatus are disclosed regarding an e-commerce system that places customers into a plurality of clusters and tailors services provided to a customer based on the cluster in which the customer is placed. In one embodiment, the e-commerce system defines the clusters based on purchase history data for customers having sufficient purchase history data. The e-commerce system then places customers without sufficient purchase history data into one of the defined clusters based on demographic data for the customer and demographic data for the customers in the cluster.

Systems and methods are disclosed for dynamically providing content to a user. The disclosed embodiments include generating a recommendation matrix based on event data received from a client. In certain embodiments, the client may be configured to generate event data associated with the client or a user associated with the client. The disclosed embodiments may also include generating an offer score matrix based on the recommendation matrix and the event data. In certain aspects, the offer score matrix may include score values associated with a set of offers to be provided to the user. The disclosed embodiments may identify a first offer from the set of offers based on the score values for the offers and provide an identification of the first offer, The disclosed embodiments may also receive content associated with the first offer for display on the client.

A social networking system predicts a life event (e.g., birthday, change in marital status, relationship status, etc.) for a target user based on information associated with the user. The social networking system identifies gift suggestions to provide to one or more friends of the user based on the predicted event. A gift suggestion may include an invitation to purchase or send an item, voucher, or other gift to the target user, wherein the gift may be determined based on information about the target user's interests obtained by the social networking system. The social networking system sends a gift suggestion to one or more friends of the target user, where the gift suggestion identifies the predicted life event and provides the gift suggestion to the target user's friend. The advertisement may require action by multiple of the target user's friends before the gift is sent to the target user.

A system for transmitting information to users via a website or mobile application is described herein. The system includes a database and a server including a processor. The processor is programmed to receive a transmittal request to transmit a communication message to a recipient address, select a recipient type associated with the recipient address, and responsively generate a unique communication identifier including information indicative of the selected recipient type and the communication message. The processor generates and transmits a notification message including the unique communication identifier to the recipient address. The processor also receives a display request to display the communication message in response to a recipient user accessing the unique communication identifier including the selected recipient type. The processor determines promotional information associated with the recipient type and displays the communication message and the associated promotional information to the recipient user via user computing device.