An advertisement delivery management apparatus according to an embodiment includes an allocation unit and an advertisement delivery unit. The allocation unit selects delivery target users who have the user attribute designated by each of order requests and whose number corresponds to the number of deliveries designated by each of order requests, from a plurality of delivery target users predicted as future advertisement delivery destinations, and allocates the selected delivery target users to the order requests. The advertisement delivery unit selects the advertising information of the order request corresponding to a user attribute of a user of a user terminal on the basis of the allocation result of the allocation unit and transmits the selected advertising information to the user terminal.

An anonymous information system (AIS) maintains privacy for internet users by separating personally identifiable information (PII) and user browser history. The AIS may receive a hashed email address from a publisher website. The AIS system may double hash the email address and discard the hashed email address received from the publisher. The double hashed email address is decoupled from user PII and may be used for tracking the number of unique email addresses provided by the publisher website. The AIS system also may associate the hashed email address with a consumer file. The AIS may hash an entity identifier associated with the consumer file to create a non-reversible anonymous identifier (anonymous ID). The anonymous ID may be associated with segment information in the consumer file that does not contain PII about the user. The AIS may send customized information to users based on the segment information.

Systems and methods are disclosed herein for providing content related to a user-selected media asset featuring a person unrelated to that media asset, but that was involved in another media asset together with a person that was involved with the user-selected media. Specifically, a user-selection of a media asset is received and a first person involved in the media asset is identified. A second person that is associated with the first person and is not involved in the user-selected media asset is identified and content featuring the second person and related to the user-selected media asset is presented to a user.

Provided is a method for advertising a product on the basis of a social network service activity of a user comprises posting, by an operation server, information on a product online for a predetermined time period; receiving an experience application for the product, through a user device of each user, from at least one user who has registered in the operation server with SNS interworking information for interworking with at least one SNS server; selecting at least one person to experience the product who will promote the product from among the users who have applied for the experience according to a predetermined condition when the predetermined time elapses; and providing the product to the person to experience the product and requesting the user device to share the review information related to the product with another user in an SNS server registered by the person to experience the product.

An approach is provided for providing token-based classification of device information. A token management platform determines a plurality of tokens. The tokens include at least in part one or more keywords, one or more representative media items, or a combination thereof. The token management platform processes and/or facilitates a processing of a communication history, one or more personal information sources, or a combination thereof associated with a user to determine one or more frequency counts of respective one or more of the tokens. The token management platform then determines to cause, at least in part, a generation of recommendation information based, at least in part, on the one or more frequency counts of the respective one or more tokens.

A computerised method for managing travel expenditure is disclosed. The method comprises: receiving travel data for a traveller's proposed trip, the travel data comprising at least a travel budget and travel destination; receiving a user profile comprising at least an indication of spend level preference for the traveller; obtaining historic travel expenditure data for a plurality of customers; analysing the historic travel expenditure data in light of the travel data and user profile to determine an optimal proposed spend allocation for the traveller across different travel spend streams; and communicating the proposed spend allocation to the traveller along with a listing of potential merchants for each spend stream, the potential merchants being extracted from the historic travel expenditure data.

A web page personalization system comprises a profile database and a profile manager. The profile database stores profiles for users. The profiles are comprised of segments of profile information for the users. The profile manager receives a request over an Internet for a group of segments of profile information about a user from a requestor. The request includes an anonymized identifier stored on a device for the user. The profile manager identifies a profile from the profiles for the user in the profile database using the anonymized identifier. The profile is comprised of the segments of the profile information about the user. The profile manager sends a portion of the profile information corresponding to the group of segments in an anonymized form in a reply over the Internet to the requestor. The requestor uses the group of segments to generate a personalized web page for the user.

Systems and methods to selectively block calls from reaching destinations based on an input received from a callback connection. One embodiment includes a web server to receive a selection of an advertisement from an customer and to obtain a communication reference from the customer in response to the selection; a session border controller to interface with a packet switched network; and one or more telecommunication servers coupled to the session border controller and the web server, the one or more telecommunication servers to establish a connection for real time communications using the communication reference, to initiate a connection for real time communications with an advertiser of the advertisement after receiving an indication of acceptance of the connection established using the communication reference; where the advertiser is charged an advertisement fee in response to establishing a connection for real time communications between the advertiser and the customer.

Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for assessing a performance and/or determining a programmatically expected performance of a marketing campaign. In one embodiment a method for creating a unified data set from a plurality of data sets received from third-party service providers is disclosed. In one embodiment, a graphical user interface is used to facilitate user access to visual representation of the unified data set. In one embodiment, the unified data set may be used to train a machine learning model. In some implementations, the machine learning model may predict an expected performance for marketing campaigns. In one embodiment, the machine learning model may adjust one or more parameters of the marketing campaign in order to increase the effectiveness of the marketing campaign and the associated revenue.

Techniques are disclosed utilizing cognitive computing to improve commercial communications from vendors to users. A user's financial account(s) and location may be monitored to determine when a user is within a threshold distance of a vendor. If the user is within the threshold distance the methods and systems disclosed may determine which targeted commercial communications to transmit to the user based upon a shopping profile for the user. The shopping profile may include a dataset indicative of the shopping habits of the user.