A request is received for connecting a user with an agent, the request identifying a user interaction with content. A second server is accessed to determine a first score of the user representing a benefit the user has generated for a client that provides the content. A third server is accessed to determine a second score of the user representing overall burden to provide services to the user by the client based on an interaction history of the user with the client. A user value is dynamically determined based on the first score and the second score using a user value determination algorithm that is specifically configured for the client. A list of agent candidates is identified from a pool of agents based on the user value and the collection of real-time data. A first communication session is established between the user and one of the agent candidates.

A digital image of the object is captured and the object is recognized from plurality of objects in a database. An information address corresponding to the object is then used to access information and initiate communication pertinent to the object.

A digital image of the object is captured and the object is recognized from plurality of objects in a database. An information address corresponding to the object is then used to access information and initiate communication pertinent to the object.

A digital image of the object is captured and the object is recognized from plurality of objects in a database. An information address corresponding to the object is then used to access information and initiate communication pertinent to the object.

VISUAL IMAGE MARKETING (VIM) is a system whereby the visual image on a film or television program is utilized to market that specific product. In VIM, film.backslash.television is combined with computer technology to provide real-time or delayed access to product data. Viewers identify a product or object displayed in a video, television show or movie and by merely pointing and clicking on the object to obtain marketing and other data.

The present invention relates to systems and methods for optimizing and managing advertising campaigns. The method of the present invention comprises storing one or more advertisement data structures associated with an ad group data structure in the ad group data structure. One or more ad group data structures associated with a campaign data structure are stored in an ad campaign data structure. Additionally, one or more ad campaign data structures associated with an advertised property are stored in an account data structure.

Provided is a computer implemented process for reminding users of offers that were discovered by the user at one location when, at a later time, the user is at another location, the process including: displaying, with a mobile device, an offer and a reminder interface to indicate that the user requests themselves or another reminder recipient to be reminded of the offer when near another computing device of the reminder recipient; receiving an interaction with the reminder interface by the user and, in response, storing a reminder request in memory, the reminder request identifying the offer; obtaining data identifying the other computing device, a geographic area of the other computing device, or a wireless environment of the other computing device; detecting, with a processor of the mobile device, that the reminder recipient has interacted with the other computing device, entered the geographic area, or entered the wireless environment; and in response to the detection, presenting a notification reminding the reminder recipient of the offer.

An object is recognized from plurality of objects in a database based on a digital representation of a scene containing the object. An information address corresponding to the object is then used to present an item to a user, who may obtain the item via a transaction.

Disclosed examples determine a unique audience exposed to media while reducing memory resources of a computing device. Example instructions program programmable circuitry to log a plurality of impressions corresponding to media accessed at client devices; generate a first value based on a count of the impressions and a count of users of a database proprietor that accessed the media; generate a second value based on the first value and a count of demographic impressions logged by the database proprietor; and determine a unique audience size based on the second value.

A system and method for providing personalized recommendations or promotional information to consumers based upon a recommendation algorithm selected from a number of recommendation algorithms, by matching personal contextual information of each consumer to detailed contexts in which each recommendation algorithm exhibits optimal performance with regard to particular business performance measures.