A facility for initiating a purchase is described. The facility receives a text sequence captured by a user from a rendered document using a handheld text capture device. The facility identifies in the received text sequence a reference to a distinguished product. In response to identifying the reference, the facility presents to the user an opportunity to place an order for the established product. If the user accepts the presented opportunity to order the distinct product, the facility orders the distinct product on behalf of the user.

A method comprising: obtaining a service point location, the service point location being associated with a logical identifier assigned to end-user equipment used in an attempt to make an online transaction; obtaining at least one authorized transaction point location, the at least one authorized transaction point location being associated with transaction object information provided via the end-user equipment; comparing the service point location to each of the at least one authorized transaction point location; and performing an action related to validation of the online transaction based on a result of the comparing. Also provided is an apparatus for implementing this method.

A client engagement and loyalty platform is provided. The client engagement and loyalty platform may receive, at a communication device, an order summary identifying a plurality of items, wherein the order summary is associated with a user account. The client engagement and loyalty platform may also receive, at the communication device, identification information, the identification information including one or more identifiers associated with a retail establishment. The client engagement and loyalty platform may also associate, based on the one or more identifiers of the retail establishment and the order summary, a plurality of reward points with the user account. The reward points can be redeemed to purchase merchandise and/or services.

Provided is a computer-implemented process for determining offers for a geofenced geographic area. After a mobile user device traverses a geofence, merchants associated with a geofence having a geofence identifier are identified. Candidate offers associated with the merchants are identified and ranked according to ranking criteria. The ranked candidate offers are transmitted to a mobile user device. The ranked candidate offers are cached on the mobile user device and presented to the user via an offers notification. The user may view and redeem an offer by selecting the offers notification.

Systems, methods performed by data processing apparatus and computer storage media encoded with computer programs for maintaining, for a user, multiple user interest profiles, each user interest profile corresponding to a different category and containing information relating to the user's online activities; receiving a request for an item of content to be presented to the user in connection with information to be displayed by a device associated with the user; determining a context of the displayed information; identifying at least two of the user's user interest profiles belonging to respective categories that are relevant to the determined context; choosing the content item to be presented to the user based at least in part on information in the identified at least two user interest profiles; and causing the chosen content item to be delivered for presentation to the user.

A computer-based method for collecting digital wallet data from a digital wallet transaction initiated by a user is provided. The method includes receiving registration data for a user in response to the user registering into a digital wallet application, wherein the registration data includes demographic data and device registration data including a device identifier used for identifying the user device when in communication with another computing device. The method also includes storing the registration data within at least one memory device and receiving digital wallet data as part of a digital wallet transaction initiated by the user using the digital wallet application on the user device, wherein the digital wallet data includes transaction data, device communication data, and biometric data. The method further includes comparing the digital wallet data to the registration data and linking the digital wallet data within the at least one memory device to the registration data.

The application relates to a video recommendation method and device, and a computer readable storage medium. The video recommendation method comprises: obtaining a user feature of a sample user and a video feature of a sample video; learning a click rate, a like rate, and a follow rate on the basis of a full-connection neural network algorithm to obtain trained user feature and video feature; performing, according to the trained user feature and video feature, combined learning on the click rate, the like rate, and the follow rate on a user side neural network and a video side neural network; and obtaining a video recommendation list according to a network parameter of a neural network algorithm obtained by means of combined learning. According to the video recommendation method, by adding a full-connection neural network algorithm training phase, the trained user feature and video feature are obtained.

Users' browsing histories and other online activities are commonly tracked using cookies, and employed to customize users' web experiences. In accordance with certain aspects of the present technology, microphones, cameras, and other sensors of portable computing apparatuses are employed to gather information about users' offline experiences. This information can be used—alone, or in conjunction with traditional cookie data—to enable systems to adapt their behaviors based on a fuller view of user's circumstances. In one particular arrangement, rendered content depends on previous ambient audio. A great variety of other features and arrangements are also detailed.

Disclosed is a digital content targeting and delivery system. The system includes an interface to receive a primary content for distribution to one or more audience groups and a content feature detector to extract content features relevant to each of one or more audience groups. A relevant audience set generator parses a pool of potential audience member records into one or more (target) audience group lists by matching extracted content features with content preference parameters/fields of taste user profiles within the potential audience member records. a derivative content delivery module delivers, to members of at least one audience group, a derivative of the primary content including content segments with content features matching at least one common preference of the members of the at least one audience group.

Embodiments herein disclose a computer-implemented method for notifying about a price change. The method includes receiving information about a product browsed in a client application on a mobile device. Further, the method includes detecting a change in price of the product. Further, the method includes determining whether the change in price exceeds a price threshold. Furthermore, the method includes sending a push notification to the mobile device based on determining that the change in price exceeds the price threshold.