Abstract: A television advertising management system that handles a plurality of deals for a plurality of advertiser, determines which of the plurality of deals have a guaranteed audience, and are under delivering, and allocates reserve under delivery units to each of the plurality of deals that are under delivering to bring each of the plurality of deals that are under delivering to corresponding attainable lower targets while honoring corresponding deal constraints. An under delivery value is maximized such that the attainable lower targets are met, while honoring corresponding deal constraints to provide an allocation solution, and a total penalty from deviations from selling title mix distributions, and weekly distributions is minimized for each of the plurality of deals that are under delivering subject to an additional lower bound on the under delivery value.

Abstract: A television advertising management system that handles a plurality of deals for a plurality of advertiser, determines which of the plurality of deals have a guaranteed audience, and are under delivering, and allocates reserve under delivery units to each of the plurality of deals that are under delivering to bring each of the plurality of deals that are under delivering to corresponding attainable lower targets while honoring corresponding deal constraints. An under delivery value is maximized such that the attainable lower targets are met, while honoring corresponding deal constraints to provide an allocation solution, and a total penalty from deviations from selling title mix distributions, and weekly distributions is minimized for each of the plurality of deals that are under delivering subject to an additional lower bound on the under delivery value.

Abstract: A system and method is provided for using biometric data from an individual to determine at least one emotion, mood, physical state, or mental state (“state”) of the individual, which is then used, either alone or together with other data, to provide the individual with certain web-based data. In one embodiment of the present invention, a Web host is in communication with at least one network device, where each network device is operated by an individual and is configured to communicate biometric data of the individual to the Web host. The Web host is then configured to use the biometric data to determine at least one state of the individual. The determined state, either alone or together with other data (e.g., interest data), is then used to provide the individual with certain content (e.g., web-based data) or to perform a particular action.

Abstract: An online system identifies an opportunity to present content to a viewing user and sends candidate content items eligible for presentation to the viewing user for display to a client device associated with the viewing user. The online system computes an estimated value associated with presenting a candidate content item to the viewing user based at least in part on a bid amount associated with the candidate content item and communicates the value to a content-providing user associated with the candidate content item. Based on information received from the client device describing the placement of one or more candidate content items within a feed of content items presented to the viewing user, the online system calculates a detrimental effect of presenting the candidate content item on user engagement with the online system by the viewing user and computes an adjusted value associated with its presentation based on the detrimental effect.

Abstract: Systems and methods are described to provide additional relevant content to a viewer of digital media such as a webpage. A webpage being viewed is divided into regions and in each region, statistics are compiled on pertinent words and phrases. Statistically significant words and phrases are compared with semantically similar words and phrases in the additional content. Where there is a significant match between the viewed content and available additional content, the additional content is provided to the user.

Abstract: Method and system for developing and marketing valuable products, advertisements and other new or improved realizations. Independent remote participants contribute to the creation of data and instructions for output devices. The technical feasibility of combining open and potentially conflicting individual contributions is enabled through the method and system determining input data compromises while participants are taking stakes in a potential resulting value of their input contribution through rights. By creating and using databases of complementary or mutually exclusive intellectual capital items, a promoter asks participants to collaborate on common desired outcomes. Participants submit new, select, move or rate alternative items. Using valuation criteria, these new or amended collective input items are compiled and reassembled, with potentially other related information stored in the database, to prepare and feed output data and instructions to output devices.

Abstract: Systems and methods are described herein for allowing a user to grant or deny a third party access to different portions of the user's profile characteristics. Control circuitry may calculate an optimal promotion offer from a third party to a user based on a first layer of the user's profile characteristics matching a target-audience profile of the third party. Control circuitry may then generate for display the optimal promotion offer to the user. In response to receiving a selection of the optimal promotion offer from the user, control circuitry may receive further selections, from the user, of a subset of the user's profile characteristics to share with the third party, and then generate for display, to the user, an actual promotion offer based on the selected subset of profile characteristics.

Abstract: Information describing deliveries of content items and user actions associated with the content items is stored. Each delivery is performed by an online publisher to a user. A user action associated with a content item performed by a target user is detected. Information describing a set of online publishers that delivered the content item to the target user is retrieved. For each online publisher of the set, a likelihood that the user action would have occurred without the online publisher's delivery of the content item to the target user is determined. An estimated increase in the likelihood that the user action occurred due to the online publisher's delivery of the content item to the target user is determined. A performance metric is determined for the online publisher, wherein ratios of performance metrics for the set of online publishers are related based on corresponding ratios of the estimated increases in likelihoods.

Abstract: Methods and systems for displaying a summary of a performance of an advertising campaign are described. A system identifies advertising campaign goals of an advertising campaign. The system identifies, based on the identified goal, metrics that drive a performance of the campaign. The system identifies, for each metric, dimensions corresponding to the metric that influence a performance of the metric. The system determines, for a subset of the dimensions, that a predetermined number of criteria corresponding to the dimension contribute at least a predetermined threshold percentage of the metric. The system generates, for each metric, cards corresponding to the subset of the identified dimensions. Each card corresponds to a respective dimension and includes a graphic that identifies, for each of the predetermined number of criteria, a contribution provided by the criteria towards the performance of the metric. The system displays a subset of the cards in response to a request.

Abstract: Systems and methods for using wireless beacons in point of purchase (“POP”) displays to facilitate the delivery of consumer oriented content to mobile devices is disclosed. Wireless beacons may be used to broadcast wireless signals from POP displays, where the wireless signals include data packets with unique identifiers for the wireless beacons. The wireless signals may be received by mobile devices. A remote server may communicate with the mobile device and provide the mobile device with up-to-date content associated with the POP displays. A wireless data collection device may be used to receive and collect data from the wireless beacons. The collected data may be used to assess one or more properties of the POP displays.

Abstract: A responsive advertising system is described herein that provides a single responsive advertisement footprint that can work cross any screen size or ad placement and converge online and mobile advertising. Bringing together everything in a way to contain or include various formats or components in a common toolkit is presented for the first time herein. The system allows a given advertisement unit to be flexible enough to change size and shape to work across different publishing properties (e.g., website, mobile application, email, and so forth) in an efficient, optimizable, trackable, and universal way. Thus, the responsive advertising system allows advertisers to expand their reach to more device types while reducing administrative burden in managing multiple advertisements for cross-screen or channel delivery.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing a customized content item. A method includes: receiving a content request; identifying one or more user device attributes and/or a context of the request; identifying a content item having distribution parameters matching the context and/or user device attributes and including one or more variables that are resolved based on the context or the one or more user device attributes; selecting, as modifying data, a subset of feed data to which the one or more variables for the content item will be resolved, including: identifying the feed data, evaluating the feed data to locate the subset; and selecting the modifying data; and modifying the content item, at least in part, by including, in place of the one or more variables, the selected modifying data; and providing the modified content item in response to the request.

Abstract: A customer relationship management system wirelessly detects presence and identity of a customer when the customer enters a business establishment. The system captures a visit pattern of the customer based on communication from the wireless device. A relevant marketing message for the customer is determined based on the customer's presence, visit pattern, identity, and location. The marketing message is delivered directly to a wireless device carried to the customer upon a subsequent entry of the customer to the business establishment. Responses of the customer (e.g., purchasing patterns, etc.) are stored for subsequent use in presenting relevant offers.

Abstract: The present disclosure generally relates to an electronic system, a computerized method, and a non-transitory computer-readable storage medium for advertisement pricing. The system comprises a host server configured for performing steps of the method comprising: generating an electronic map representation of a geographical area; demarcating the electronic map representation into a plurality of demarcated regions; retrieving, from a transaction database, transaction data associated with merchant transactions in the plurality of demarcated regions; receiving, from a telecommunications service provider, mobile traffic data for generating consumer traffic data indicative of consumer traffic activity in the plurality of demarcated regions; and performing an advertisement pricing process to determine advertisement prices for each demarcated region based on at least the transaction data and consumer traffic data.

Abstract: Various systems and methods that may relate to referral and/or delivery services are described. Some embodiments may include incentivizing groups to meet goals. Various other embodiments are described.

Abstract: Various systems and methods for providing a tool to entities that determines the optimal usage of data items are disclosed. For example, the tool can generate a model that uses various characteristics to predict how likely it is that a viewer will watch (or listen to) the media program being promoted. The model can then determine an increase in revenue that would result from the assignment of a media promo using the predicted likelihood and subtracting a known opportunity cost from this determined revenue increase to determine a net revenue value. The model can repeat this determination for any number of viewers and aggregate the determined net revenue values to generate an aggregated net revenue value. The tool may include a user interface in which a content provider can adjust various variables to see how adjusting one or more variables affects the aggregated net revenue value.

Abstract: A method and apparatus are provided. The method includes prior to receiving a current search term from client application of a user among plural users, obtaining historical search terms entered by the user during a first time period and, for each historical search term, one or more historical applications accessed by the user after entering the historical search term, separately obtaining feature data of the historical search terms, the one or more historical applications and candidate applications, the feature data being data combined from all of the plurality of users, training the feature data according to a mining model, and obtaining through mining using the trained feature data, for each candidate application, a recommendation term corresponding to the candidate application.

Abstract: Methods, systems, and media for presenting advertisements relevant to nearby users on a public display device are provided. In some implementations, a method for presenting content on a public display device, the method comprising: receiving location information associated with mobile devices that is indicative of a position of the mobile device relative to a display device associated with a retail outlet; receiving interests associated with the mobile devices; identifying a plurality of advertising sources associated with the display device, including a retailer associated with the retail outlet; determining a topic based on the received interests and the location information associated with the mobile devices; determining that the topic is related an advertisement associated with the retailer; causing the advertisement associated with the retailer to be selected based on the topic; and causing the selected advertisement to be presented by the display device.

Abstract: Location history data can be used to identify attributes for a known geographic location of a business listing record for a business. As an example, location history data is received from each of a plurality of client computing devices. For each device, the location history data identifies an arrival and departure times for the known geographic location as well as prior and next visit information. The location history data is used as input into a classifier in order to identify a set of attributes for the geographic location and corresponding likelihood values for each of the attributes of the set of attributes. A subset of the set of attributes is determined such that the attributes describe aspects of the known geographic location based on the likelihood values. This subset is provided to a client computing device in response to a request for information about the geographic location.

Abstract: A method, computer program product, and system includes a processor(s) obtaining content displayed to the user on a computing device communicatively coupled to an input device(s) and/or output device(s). The processor(s) analyzes the content, to identify portions that represent types of content and tags the identified portions with one or more generic tags. The processor(s) generates a sentiment profile of the user by identifying interests of the user and identifying subjects of past electronic communications by the user. The processor(s) maps sentiments in the sentiment profile, to topics, based on the interests and the subjects identified. The processor(s) identifies an identified portion of the content relevant to a topic(s) mapped to a sentiment. The processor(s) generates and implements a physical change to the input device(s) or output device(s) to elicit a sentiment from the user, where the sentiment is mapped to the topic(s).