Systems and methods are provided for creating personalized programs. In one implementation, a computer-implemented method is provided. According to the method, content is assembled into a personalized program. The method includes maintaining, in a storage device, transaction history information and preference information for a user. The method selects a plurality of content components based on at least one of the transaction history information and the preference information. The method then determines a sequence of the selected content components and assembles the selected content components according to the sequence as the personalized program.

Techniques disclosed herein describe inferring user interests based on metadata of a plurality of multimedia objects captured by a plurality of users. An analysis tool receives, for each of the users, metadata describing each multimedia object in the plurality of objects associated with that user. Each multimedia object includes one or more attributes imputed to that object based on the metadata. The analysis tool identifies one or more concepts from the one or more attributes. Each concept includes at least a first attribute that co-occurs with a second attribute imputed to a first multimedia object. The analysis tool associates a first one of the plurality of users with at least one of the concepts based on the attributes imputed to multimedia objects associated with the first one of the plurality of users.

In one embodiment, a method includes accessing a social graph including a number of nodes and a number of edges connecting the nodes. Each of the edges between two of the nodes represent a single degree of separation between them. The nodes include a first node corresponding to a first user associated with an online social network and a number of second nodes that each correspond to a concept or a second user associated with the online social network. The method also includes generating a number of user-cards in response to a request by the first user for a list of second users. Each user-card is associated with a structured query referencing nodes or edges of the social graph. Each user-card contains references to a number of second users corresponding to one or more second nodes that match the structured query associated with the user-card.

The present invention addresses the problem of targeting advertisements to be displayed on customers' mobile devices who move through a physical location. A method for dynamic delivery of content to a user's portable device connected to an access point is disclosed which includes the steps of: analysing network traffic sent from the portable device via the access point; generating a profile for the user based at least in part upon the analysed network traffic and the location of the portable device; matching content to the user profile; and delivering the matched content to the portable device. A system for dynamically delivering content is also disclosed.

There is provided a method for an out of home advertising campaign, the method comprising: supplying creative for the campaign; determining criteria for the campaign, the criteria comprising targeting a demographic; selecting one or more boards for display of the creative, the selecting based on static data, projected data, and optionally real-time data; and displaying the creative on the one or more boards. There is also provided an out of home digital ad server comprising: at least one digital board; a digital feed provider to provide each board with creative to be displayed; a computer processor for analysing data to optimize board selection based on a demographic; and a communication network to direct creative from the ad serving processor to the at least one digital board based on the selection of creative by the computer processor.

A method and apparatus of applying user profile information to a customized application are disclosed. One example method of operation may include receiving an inquiry from a user device at a customer call center server and identifying and authorizing the user from the received inquiry. The method may also provide retrieving a user profile from memory that includes history information based on previous interactions between the user device and the customer call center server and calculating a prediction as to a purpose for the inquiry. The prediction may be based on user profile history, social networking profile information, recent transactions, etc. The method may also provide transmitting a response to the inquiry based on the calculated prediction.

The method and system for recommending, monitoring, selecting and delivering gifts includes maintaining a transaction profile and target profile in a data network for a giver, maintaining target sub-profiles corresponding to each recipient listed in the transaction profile, transmitting an alert, presenting a gift selection menu formed by a plurality of recommended gift options, choosing a selected gift option from the gift selection menu, transmitting a notice of the selected gift option to the recipient, and storing a response. Each gift option has been identified with a target rating from a filtered array of primary factors of the target profile. The array is filtered by a target template for the primary factors. The filtered array can be revised for increased accuracy. The response of the recipient includes accepting or rejecting, including re-gifting and consolidating, handling complex gift items, and revising the target templates for subsequent gifts.

Systems, apparatuses, and methods are provided herein for content-based product recommendations. A system for content-based product recommendations comprises a content monitoring device configured to monitor video content viewed by a user, a customer vectors database, a product vectors database; and a control circuit being configured to: detect, via the content monitoring device, a video content being viewed by the user, identify an item associated with a current segment of the video content viewed by the user, determine a product category associated with the item, determine alignments between the customer value vectors and the product characteristic vectors for each of the plurality of products in the product category, select a recommended product from the plurality of products based on the alignments between the customer value vectors and the product characteristic vectors for each of the plurality of products, and initiate an offer of the recommended product to the customer.

A system and method of allowing guests of events to interact with one another. A user of an event system may log into the event system and create a user profile to be utilized in the event system. The user may create an event with the event system. The event may include a geo-fence surrounding a location of the event, which may be customized by the user of the event system. The event may be a public event or a private event. The user of the event system may create an event poster of the event, which may include details of the event, the location of the event, the ability to invite the guests to the event, and the ability to bookmark the event. The user of the event system may invite at least some of the plurality of users to be the guests of the event. The geo-location of the guests of the event may also be determined. The guests of the event may be allowed to access features of the event, which may include direct messaging, guest profiles, and friend requests when the geo-location of the guests is within the geo-fence of the event. The features of the event may include direct messaging, guest profiles, and friend requests. The media content of the guests of the event being organized into galleries. The system and method may include monetization tools for utilizing features of the event system. The event system may charge users and guests of the event system depending on the type of service provided.

Some embodiments provide a retail product coupon offer distribution system, comprising: a customer profile database comprising customer profiles comprises a set of customer partiality vectors; a product profile database comprising product profiles each comprising a set of product partiality vectors; and a product management control circuit configured to: identify a set of customers having a customer partiality vector that has a threshold alignment with at least one product partiality vector; and for each customer of the set, customizes a coupon offer relative to the first product that is distinct for each customer.