Abstract:
Methods and systems for valuing an item of online content served to an online publisher, such as an advertisement, are provided. The methods and systems described herein enable an advertiser to determine the relative value of an advertisement presented to one consumer as compared to the value of the same advertisement presented to another consumer. The expected total lifetime revenue generated as a result of presentation of a specific advertisement to a specific consumer is determined, to enable an advertiser to determine how aggressively to bid for placement of the advertisement with a publisher.
Abstract:
The disclosure includes a system and method for determining an influence score for a user. The system includes a classification module, a controller, a determination module, a ratio module and a score module. The classification module creates an influence profile for a first user. The controller determines activity data associated with a set of active users. The determination module determines how frequently the activity data associated with the active users describes the first user and a second user that has a second influence score. The determination module determines a first user activity score and a second user activity score. The ratio module compares the first user activity score to the second user activity score to determine an influence ratio. The score module determines a first influence score for the first user based at least in part on the influence ratio and the second influence score for the second user.
Abstract:
Systems and methods include retrieving data indicative of a sequence of content that were previously selected for presentation by a mobile device based in part on physical locations of the mobile device. The sequence of selected content may be used with the current location of the mobile device to determine a likelihood score for a piece of content. Based on the likelihood score, the piece of content may be selected and provided to the mobile device for presentation.
Abstract:
Shoppers at physical retailers are incentivized to purchase products from a physical retailer. The user provides a product identifier using a user device. The product identifier is used to identify the product being viewed by the user. Online retailers are queried to obtain online bids to sell the product. An incentive is identified for the user based on the product and the physical retailer. The incentive and an online retailer bid are provided to the user for the user to determine whether to purchase the product at the online retailer bid price or using the incentive. The incentive may be based on location information indicating user device movement. The incentive may require the user to perform an action, such as posting to a social network. A different incentive may be provided to the user if the user is leaving the physical retailer to promote purchase at the physical retailer.
Abstract:
Systems and methods for managing relationships between a commercial entity and one or more of a plurality of users is described. One of the methods includes receiving data regarding a first opinion of one of the users. The first opinion is concerned with a first product/service. The user has a user identity (ID), the commercial entity has a commercial entity ID, the first product has a first product ID, and the first service has a first service ID. The method further includes mapping the first opinion data with the user ID and the commercial entity ID and the first product ID or the first service ID. The method includes creating data regarding a first sentiment group within a social network account of the commercial entity based on the mapped first opinion data. The method includes assigning the user ID to the first sentiment group data.
Abstract:
Event-related data including at least one event-related record belonging to a first user is received. The event-related record is processed for an event. The event is classified into an event type using a plurality of predefined event types. A post for the event based on the event type is generated and a content stream of the first user is populated with the post.
Abstract:
This specification describes technologies relating to content presentation. In general, one aspect of the subject matter described in this specification can be embodied in methods that include the actions of receiving, at a first time, a device identifier in association with a first network identifier that corresponds to a first network to which the device is connected, processing the first network identifier to determine a first location, associating the device identifier with the first location and the first time, receiving a content request from the device, determining that the device has been connected to the first network within a defined chronological proximity of receiving the content request, selecting one or more content items based on at least the first location, and providing the one or more content items to the device. Other embodiments of the various aspects include corresponding systems, apparatus, and computer program products.
Abstract:
A three-dimensional taxonomy server is operative to identify the location of a client device based on three-dimensional positional information received from the client device. The three-dimensional positional information may include global positioning system coordinates, an Internet Protocol address, cellular network information, or any other type of three-dimensional positional information. The three-dimensional taxonomy server may operate in conjunction with another server, such as an advertising server or business search server, to deliver contextual content based on the location of the client device. The contextual content may include a targeted advertisement, a targeted search result, or other type of contextual content.
Abstract:
Systems and methods include retrieving data indicative of a sequence of content that were previously selected for presentation by a mobile device based in part on physical locations of the mobile device. The sequence of selected content may be used with the current location of the mobile device to determine a likelihood score for a piece of content. Based on the likelihood score, the piece of content may be selected and provided to the mobile device for presentation.
Abstract:
Methods and systems for reporting mobile application conversions are provided. The methods and systems described herein enable a producer of a mobile app to facilitate the transmission of action notifications to a plurality of mobile advertising networks through the transmission of a single action notification to an action reporting system. The action reporting system, in turn, translates the action notification, into one or more distinct action notifications recognizable and executable by one or more respective advertising networks which an app producer has previously identified as recipients of action notifications.