Abstract: A method includes identifying an image captured by an image capture device set at a first angle about an axis, the image corresponding to a time at which the image was captured, identifying within the image, a region of interest including an object to be used for calibration, determining, an image coordinate at which the object is displayed within the image, determining a camera angle corresponding to a position of the image capture system relative to the axis when the image was captured, identifying a bearing of the object relative to the reference direction, the bearing of the object determined using a geolocation of the image capture system and the time at which the image was captured, and determining, using the image coordinate, the camera angle, and the bearing of the object, an angular offset between the first angle and the reference direction to determine a second angle.

Abstract: A computer-implemented method for allocation-free control of online campaigns for distributing online content includes receiving a daily content distribution spending budget and one or more response functions, calculating one or more plant gain estimates based on the one or more response functions, calculating a marginal content distribution spending budget based on the daily content distribution spending budget, generating one or more control signals based on the calculated marginal budget and the calculated one or more plant gain estimates, generating a price control signal based on the generated one or more control signals, and calculating a bid for one or more impressions based on the price control signal.

Abstract: Systems and methods are provided for receiving image data from a mobile device; identifying, based on the image data, an item and a product characteristic of the item; generating listing data of the item based on the product characteristic; determining that the item is associated with a product category; identifying a set of listings associated with the product category; applying a decay formula to the set of listings to generate a discounted number of sales and a discounted number of impressions at least one listing of the set of listings; determining a ratio of the discounted number of sales to the discounted number of impressions; determining a ranking of the set of listings based on the ratio; generating a price estimate of the item based on the ranking of the set of listings based on the ratio of the discounted number of sales to the discounted number of impressions; and causing display of a user interface including a request to list the item, the user interface including the listing data and the price e

Abstract: A method and system for controlling real-time bidding for online advertisements is disclosed. According to one embodiment, a computer-implemented method comprises communicating with a bidder and an impression server and an event tracking server. The bidder receives a real-time bidding (RTB) request containing an available impression from an exchange and places a bid corresponding to the RTB request. The impression server receives impression requests from a browser and responds to the impression requests from the browser. The event tracking server receives event requests from the browser and responds to event requests from the browser. Campaign performance data is retrieved from one or more of the impression server and the event tracking server and compared to the campaign target. The bidder is notified whether to bid for online advertisement impressions based on the campaign performance data.

Abstract: Systems, methods and apparatus are disclosed for providing content associated with an information item on a distribution item using a computing device. In one aspect a method includes identifying an image of an information item on a distribution item. The method further includes processing, in a processor the image, to generate a data item determined by the information item. The method further includes decoding the data item to determine a set of attributes of the distribution item. The method further includes retrieving content associated with the distribution item using at least one of the attributes in the set of attributes. The method further includes delivering content associated with the distribution item.

Abstract: Systems and methods presented herein provide for Content On Demand (COD) asset insertion. A COD asset insertion decision system (CODAID) is communicatively coupled to a content distributer to process information about COD content selections by Customer Premises Equipment (CPEs). An auction system is communicatively coupled to the CODAID and to a plurality of asset providers to process information about assets of the providers, to provide an auction for asset opportunities in the COD content selections, to receive bids for the asset opportunities, and to rank the auctioned assets according to bid. The CODAID further ranks the auctioned assets based in part on the COD content selection information and the asset information, identifies one or more of the further ranked assets for insertion into the COD content selection, and directs the content distributer to insert the identified one or more further ranked assets into the COD content selection.

Abstract: The present invention is directed towards methods and systems for matching, by a demand side service, an advertisement with an impression from a plurality of impressions available across a plurality of impression opportunity providers. A demand side service executing on one or more servers may receive a request to bid for placement of an advertisement on one or more impression opportunities available across a plurality of impression opportunity providers. The demand side service may further determine an impression opportunity from the plurality of impression opportunities to bid on. In addition, the demand side service may communicate, via a network, one or more bids via an interface to an impression opportunity provider of the plurality of impression opportunity providers. The demand side service may complete a transaction to procure the impression opportunity from the impression opportunity provider responsive to a winning bid from the one or more bids.

Abstract: A hybrid, optimized exchange is provided, the hybrid, optimized exchange operably connected to a demand-side platform (DSP), the hybrid, optimized exchange further operably connected to a supply-side platform (SSP), the hybrid, optimized exchange configured to receive an advertising request, the hybrid, optimized exchange further configured to conduct, using a bid floor, a hybrid, optimized DSP auction of the advertising request among a plurality of DSPs, thereby generating a winning DSP that makes a winning DSP bid in an automated advertising auction system after the SSP initiates an SSP auction of the advertising request, the hybrid, optimized exchange optimizing the bid floor provided to the plurality of DSPs in the hybrid, optimized DSP auction and simultaneously optimizing a shading factor used by the hybrid, optimized exchange to place a hybrid, optimized bid on behalf of the winning DSP in the SSP auction.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media that dynamically modify content distribution campaigns based on triggering conditions and actions. In particular, systems described herein can provide a user interface for display to a publisher device that includes a plurality of selectable options for setting triggering conditions and/or actions. For example, the disclosed systems can utilize a machine learning model to generate suggested triggering conditions and/or actions for one or more content distribution campaigns of a provider. Moreover, the disclosed systems can generate custom rules based on selected triggering conditions and actions and apply the custom rules during execution of digital content campaigns. For instance, the disclosed systems can monitor performance of content campaigns, detect triggering conditions, and dynamically modify digital content campaigns based on actions corresponding to the triggering conditions.

Abstract: A framework for online media distribution of media content that includes streaming video, and tracking of the media content and consumer engagement with the streaming video, is configured to disseminate programs that include media content for display on a publisher site, where the streaming video is embedded thereon. The framework allows consumers to interact with advertisers by engaging with the media content directly. The framework also enables video streaming capabilities on any affiliate network that connects publishers and advertisers, so that the distribution of media content is agnostic and independent of the affiliate networks' platforms. The framework reconciles all actions in such an end-to-end journey by integrating syntaxes of different systems from consumer to advertiser.

Abstract: Facilitating separation of intended and non-intended browsing traffic in browsing history advanced networks (e.g., 4G, 5G, and beyond) is provided herein. Operations of a system can comprise determining respective contradiction values for second-level domains of a group of second-level domains in observed browsing history traffic. The operations can also comprise separating intended network traffic from non-intended network traffic based on the respective contradiction values. The respective contradiction values can indicate levels of inconsistency between the observed browsing history traffic and a determined popularity ranking.

Abstract: Systems, methods, and media for correlating information corresponding to multiple related frames on a web page are provided. In some embodiments, a method for identifying corresponding iframes on a web page to a server is provided, the method comprising: loading a web page including a plurality of iframes; receiving the requested content and identifying information for a first iframe; loading an event listener; determining a location of the first iframe in the structure of the web page; transmitting a message to a second iframe including the first identifying information and location of the first iframe; receiving, using the event listener, a message from the second iframe including second identifying information and location of the second iframe; determining that the second iframe is nested within the first iframe; and transmitting a third message to a server including at least the second identifying information and location of the second iframe.

Abstract: Allocating bids for providing content within a segmented campaign is controlled to ensure that an event rate associated with the provided content meets or exceeds a threshold rate. A campaign-level event rate, associated with the provided content, is estimated and provided as a feedback signal. This feedback signal is employed to dynamically update bid allocations for each of the segments, which in turn varies the number or rate of provided impressions and events. Such feedback enables the control of the campaign-level rate and ensures that the campaign-level rate meets or exceeds the rate threshold. To control these rates, the number of total impressions, as well as the number of associated events, is temporally sampled across the campaign segments. Based on the number of impressions and events, the campaign-level event rate is estimated and employed as the feedback signal. Updating the bid allocations may be based on the Beta Distribution.

Abstract: Systems and methods to intelligently optimize data collection requests are disclosed. In one embodiment, systems are configured to identify and select a complete set of suitable parameters to execute the data collection requests. In another embodiment, systems are configured to identify and select a partial set of suitable parameters to execute the data collection requests. The present embodiments can implement machine learning algorithms to identify and select the suitable parameters according to the nature of the data collection requests and the targets. Moreover, the embodiments provide systems and methods to generate feedback data based upon the effectiveness of the data collection parameters. Furthermore, the embodiments provide systems and methods to score the set of suitable parameters based on the feedback data and the overall cost, which are then stored in an internal database.

Abstract: A buy-online pickup-in-store (BOPIS) order at risk of abandonment is saved by converting the order to same-day delivery. A risk deadline is established using a combination of cognitive prediction, a customer-specific time frame, order constraints, and real-time data. The cognitive prediction uses a customer profile having historical data pertaining to previous BOPIS orders from this customer. If the product is not picked up by the risk deadline, a check is made to see if same-day delivery is feasible. If so, a notification is transmitted to the customer with proposed delivery details. The notification can be sent at an optimal time based on previous notifications sent to the customer and time constraints related to the order, and using an optimal communication channel based on previous engagement rates with the customer over different communication channels. Once confirmation is received from the customer, the product is shipped, saving the sale.

Abstract: Search means (101) of a search system (1) connected to a terminal (30) via a network executes a search based on a search condition input from the terminal (30). Determination means (102) determines, based on stock information on each of a plurality of items included in search results obtained by the search means (101), whether there is a stock of each item. Advertisement acquisition means (104) acquires at least one advertisement of an item that satisfies the search condition and has a stock, based on results of determination by the determination means (102). Display control means (105) displays, on a search result screen, at least one item in stock among the search results and at least one advertisement.

Abstract: Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to perform probabilistic modeling for anonymized data integration and measurement of sparse and weakly-labeled datasets are disclosed. An apparatus includes a training controller to train a neural network to produce a trained neural network to output model parameters of a probability model, a model evaluator to execute the trained neural network on input data specifying a time of day, a media source, and at least one feature different from the time of day and the media source to determine one or more first model parameters of the probability model, and a ratings metric generator to evaluate the probability model based on input census data to determine a ratings metric corresponding to the time of day, the media source, and the at least one feature, the probability model configured with the one or more first model parameters.

Abstract: A digital ad-buying platform uses counterfactual-based incrementality measurement by implementing randomization and/or a correction for auction win bias to avoid the need to identify counterfactual winner types in the control group. This approach can estimate impact at the individual consumer level. Confidence levels can be determined using Gibbs sampling in the context of causal analysis in the presence of non-compliance.

Abstract: A social networking system provides content items to a user via a feed that may include one or more sponsored content items. Multiple sponsored content items may be included in a set that is presented in the feed via a scrollable content unit that presents a sponsored content item from the set and presents additional sponsored content items from the set when user interaction is received. To place sponsored content items in the feed, the social networking system scores a set of sponsored content items based on prior user interactions with content presented via scrollable content units and a bid amount of a sponsored content item in the set. The set of sponsored content items is ranked among other sponsored content items based on its score. If the set of sponsored content items is selected for inclusion in the feed, the social networking system orders the sponsored content items in the set for presentation via the scrollable content unit.

Abstract: The current invention relates to a computer-generated method for optimizing placement of advertising content across multiple different devices. The system can allocate advertising campaigns and plans to various inventory types based on the probability of accurate consumer matching. Consumer matching can be achieved by generation of look-alike models in a consumer's device graph to predict future consumption behavior. The system includes an interface through which an advertiser can access relevant information about inventory and success of a given placement.

Abstract: Systems, methods, and computer-readable media (transitory and non-transitory) are provided herein for automated submission for solicited application slots. In various embodiments, a digital component source process executing on a first computing system may determine a device identifier associated with an application slot to be populated with digital component(s). The application slot may be solicited by a digital component liaison process executing on the first computing system or a second computing system. The digital component source process may retrieve application slot attainment parameter(s) associated with the device identifier. The application slot attainment parameter(s) may be generated based on location ordinal(s) associated with the device identifier. The digital component source process may determine, based on the retrieved application slot attainment parameters, a submission to populate the application slot with a particular digital component item.

Abstract: Provided is an edge key value (“EKV”) store for receiving data from any of network location of a distributed platform, and for distributed a synchronized copy of the data to servers at the network locations where the data is requested regardless of where, how, and when the data is updated. The EKV store may receive a first value for a key at a first storage device of the EKV store based on a message issued by a first user through a first network location, may receive a second value for the key at a second storage device of the EKV store based on a message issued by a second user through a second network location, and may store the second value as a current value for the key by forming a consensus across the storage devices that the second value is the most recent value for the key.

Abstract: A computer-implemented method for allocation-free control of online campaigns for distributing online content includes receiving a daily content distribution spending budget and one or more response functions, calculating one or more plant gain estimates based on the one or more response functions, calculating a marginal content distribution spending budget based on the daily content distribution spending budget, generating one or more control signals based on the calculated marginal budget and the calculated one or more plant gain estimates, generating a price control signal based on the generated one or more control signals, and calculating a bid for one or more impressions based on the price control signal.

Abstract: Techniques and system are described for a real time bid platform to control output of digital marketing content to a potential consumer. In an example, impression data is generated by a physical retail environment or mobile device of the potential consumer based on a determined location of a user within a physical retail environment. The impression data is used by a digital marketing system to expose bid opportunities to a plurality of advertiser systems via the real time bid platform. The advertiser systems then generate bids based on impression data described as part of the bid opportunity, and may also be based on additional information the advertiser systems have about the potential consumer obtained from third-party systems. The bids are then used as a basis to control output of digital marketing content to the potential consumer.

Abstract: A content clarification server receives at least one language element entered by a user into a client computer, where the user works in a first area of specialization. The content clarification server extracts a set of concepts found in the at least one language element, and launches an auction bidding process for replacing original language in the at least one language element to content clarification providers who provide replacement language that clarifies a meaning of the at least one language element. The content clarification server filters out replacement language from content clarification providers that work in a second area of specialization that is different from the first area of specialization in which the user works, and identifies winning replacement language, from the filtered out replacement language, for the original language from one of the content clarification providers. The content clarification server replaces the original language with the winning replacement language.

Abstract: Disclosed herein are systems and methods for blocking information from being received on a computing device. In one aspect, an exemplary method comprises, by a hardware processor, intercepting a Domain Name System (DNS) request, the intercepted DNS request being associated with the information being blocked from the computing device, obtaining a set of rules for a transmission of the intercepted DNS request, determining, whether at least one rule of the obtained set of rules subscribes to a blocking of the transmission of the intercepted DNS request, and blocking the transmission of the intercepted DNS request when at least on rule of the set of rules subscribes to the blocking of the transmission of the intercepted DNS request, wherein the blocking of the transmission of the intercepted DNS request blocks the information from being received on the computing device.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods to generate sketches for clearing-bid values and bid-success rates based on multi-dimensional targeting criteria for a digital-content campaign and dynamically determine predicted values for the digital-content campaign based on the sketches. To illustrate, the disclosed systems can use a running-average-tuple-sketch to generate tuple sketches of historical clearing-bid values and tuple sketches of historical bid-success-rates from historical auction data. Based on the tuple sketches, the disclosed systems can determine one or more of a predicted cost per quantity of impressions, a predicted number of impressions, or a predicted expenditure for the digital-content campaign—according to user-input targeting criteria and expenditure constraints.

Abstract: Aspects of the subject disclosure may include, for example, determining an ad play list for an Over-The-Top video stream requested by an end user device based on a price and/or a category of a creative derived from auctions with multiple Supply-Side Platform servers. The ad play list can be determined for the ad pod according to business rules, which can include a yield policy based on increasing revenue for a publisher of the video stream, and/or which can include a competitive separation policy enforced based on the category for bid responses. Other embodiments are disclosed.

Abstract: Methods and apparatus to assign demographic information to panelists are disclosed. An example disclosed apparatus disclosed herein includes a database proprietor identifier (DPID) extractor to extract a panelist database proprietor identifier from a cookie, the panelist database proprietor identifier associated with credentials used by a panelist to access a website.

Abstract: The disclosure provides a method for predicting a user object in a real time bidding and an advertisement server. The method includes: obtaining telecommunication data, and building a user behavior model based on the telecommunication data by using at least one of machine learning algorithms; receiving a bid request comprising an advertisement identifier which does not have at least one of an identifier field of a certain user object and an advertisement-related identifier from an advertising trading platform; and predicting a first candidate identifier of a first user object corresponding to the bid request according to the advertisement identifier through the user behavior model.

Abstract: Methods and systems are described herein for risk-adjusted predictive bidding for electronic advertisements. A first computing device receives, from a requesting device loading a webpage, a first request for graphical display source code corresponding to a computerized graphical advertisement display to be inserted into one or more impression opportunities on the webpage. A second computing device coupled to the first computing device transmits a second request to a plurality of third-party computing devices for one or more bids for an impression opportunity of the one or more impression opportunities. The second computing device receives the one or more bids from the third-party computing devices and adjusts at least one of the one or more bids based upon a risk factor received from the third-party computing device that submitted the corresponding bid. The first computing device determines whether to select the impression opportunity based on the adjusted one or more bids.

Abstract: Systems and methods for distributing photo filters based on the location of the object in the image are described. A photo filter publication system detects that a client device in communication with the system has captured an image, identifies an object in the image, identifies a location of the object in the image, identifies an image overlay associated with the identified location and having object criteria satisfied by the identified object, and provides the identified image overlay to the client device.

Abstract: Methods, systems, and apparatus, including an apparatus for preventing data leakage by controlling the availability of user data. In one aspect, a system includes a frontend server that receives digital component requests that each specify a user identifier for a user to which digital component will be provided and provides digital components. A data availability control server receives data specifying a user identifier for a user and controls availability of activity data to digital component providers by identifying, for a given digital component provider, data sets that include a user identifier for the user and are data sets from which the digital component provider is eligible to receive data. The data availability control server selects, from a specified number of the identified data sets, the activity data of the user included in the specified number of identified data sets and provides the selected data to the given digital component provider.

Abstract: Header bidding systems and methods increase a number of advertisers that can place bids for an advertising impression while maintaining low latency in loading of the webpage. The systems and methods utilize a specialized control wrapper in the header to manage one or more additional wrappers so as to allow for simultaneous bid collection from multiple groups of advertisers, one group per wrapper, without experiencing the traditional increase in latency of page loading as the number of entities bidding on an impression increases. Each wrapper contains information relating to a separate subset of advertisers from which to receive bids for the advertising impression. The control wrapper, as part of the header of the webpage, controls synchronization and timing of the separate bid processes controlled by the various wrappers to ensure that latency issues are avoided while the number of bids received is increased and revenue maximized.

Abstract: A method provides personalized recommendations to a mobile device associated with a user. The method includes obtaining an event log from the one or more sensors embedded in the mobile device associated with the user. The event log is analyzed by a processor of the present invention to identify one or more attributes associated with the surroundings of the mobile device. A method selects one or more recommendations to be sent to the mobile device associated with the user. In additional embodiments, methods record the response received to the recommendations and using the recorded responses to further select more personalized recommendations.

Abstract: Systems and methods that provide electronic bidding on digital advertising placed on non-personal digital devices in public or semi-public settings and enable subsequent consumer actions taken on other media channels and devices to be attributed to such advertising in digital ad buying systems.

Abstract: A server computer receives configuration data from a first user of a first user device and establishes an interaction limit for the first user based on the configuration data. The server computer subsequently receives a request message from a second user device of a second user that includes parameters, including a request for services. The server computer selects the first user from a plurality of users based on the parameters and the configuration data from the first user. The server computer transmits a quote message to the second user device indicating the selection of the first user and including a quote. When the server computer receives an indication of a response message from the second user device, the server computer processes the response message and determines if the response message is indicative of an interaction type that requires modifying a first user account associated with the first user.

Abstract: A digital advertising bidding method and a digital advertising bidding system are provided. The digital advertising bidding method includes receiving an ad request with an identifier by a token generating server; encrypting the identifier to generate a token corresponding to the ad request to replace the identifier by the token generating server; transmitting the token and a corresponding bid request to a demand side server by the token generating server; transmitting the token and the identifier to a data management server by the token generating server; requesting a targeting information corresponding to the token from the data management server by the demand side server; and transmitting the targeting information to the demand side server by the data management server.

Abstract: A digital ad-buying platform uses counterfactual-based incrementality measurement by implementing randomization and/or a correction for auction win bias to avoid the need to identify counterfactual winner types in the control group. This approach can estimate impact at the individual consumer level. Confidence levels can be determined using Gibbs sampling in the context of causal analysis in the presence of non-compliance.

Abstract: Techniques are disclosed for real-time bidding (e.g., for dynamic online content placement) using an optimized final bid. The final bid is determined based on a predicted clearing price and an initial bid. The initial bid represents a value to a prospective content provider, and may be computed based on campaign information. The predicted clearing price is a predicted amount paid, and may be predicted using a model trained using historical winning bids data. The clearing price may be predicted using a quantile regression model, where the quantile can be selected to control bid aggressiveness. In some cases, the quantile is determined based on pacing in an overall campaign. Once the initial bid and the predicted clearing price are calculated, the final bid is computed based on the initial bid and the predicted clearing price.

Abstract: A social networking system provides content items to a user via a feed that may include one or more sponsored content items. Multiple sponsored content items may be included in a set that is presented in the feed via a scrollable content unit that presents a sponsored content item from the set and presents additional sponsored content items from the set when user interaction is received. To place sponsored content items in the feed, the social networking system scores a set of sponsored content items based on prior user interactions with content presented via scrollable content units and a bid amount of a sponsored content item in the set. The set of sponsored content items is ranked among other sponsored content items based on its score. If the set of sponsored content items is selected for inclusion in the feed, the social networking system orders the sponsored content items in the set for presentation via the scrollable content unit.

Abstract: In accordance with some embodiments of the disclosed subject matter, methods, systems, and media for generating predicted information related to advertisement viewability are provided.

Abstract: A server receives a request for a deal from a client device of a merchant, the request for a deal including a merchant identifier. The server then accesses merchant information based on the merchant identifier, the merchant information including a merchant category and a merchant location. Additionally, the server obtains a set of candidate deals based on the merchant category and merchant location. The server then obtains historical information for each candidate deal, the historical information corresponding to one or more conversion rates of the candidate deal when the candidate deal was previously offered by one or more merchants. Next, the server determines a predicted conversion rate for each candidate deal, based on the historical information for the respective candidate deal and selects a deal based on the predicted conversion rates for the set of candidate deals.

Abstract: In accordance with some embodiments of the disclosed subject matter, methods, systems, and media for generating predicted information related to advertisement viewability are provided.

Abstract: Systems and methods for obtaining and playing video advertisements in conjunction with play of video content use information about the viewability of an instantiation of a video player software application. An instantiation of the video player software application generates a viewability score which is intended to reflect a degree of confidence that the instantiation of the video player software application is located on a part of a webpage that currently appears on a user's display screen. Information used to generate the viewability score can be gathered during play of a video. The information used to generate a viewability score can include information about user performed actions and information that indicates the degree to which the user is engaged by a video.

Abstract: The technology disclosed herein relates to method, system, and computer program product (computer-readable storage device) embodiments for managing resource allocation in a stream processing framework. An embodiment operates by configuring an allocation of a task sequence and machine resources to a container, and by running the task sequence, wherein the task sequence is configured to be run continuously as a plurality of units of work corresponding to the task sequence. Some embodiments further include changing the allocation responsive to a determination of an increase in data volume. A query may be taken from the task sequence and processed. Responsive to the query, a real-time result may be returned. Query processing may involve continuously applying a rule to the data stream, in real time or near real time. The rule may be set via a query language. Additionally, the data stream may be partitioned into batches for parallel processing.

Abstract: The present disclosure is directed toward systems, computer-readable media, and methods that automatically modify a pacing plan for a digital content distribution campaign, which provides digital content to client computing devices based on the pacing plan. For instance, the systems disclosed herein can automatically detect when a service error causes a digital content distribution campaign to deviate from the pacing plan. In response, the disclosed systems can generate a new pacing plan based on the actual allocated budget at the conclusion of the service error. In particular, the disclosed systems can generate a new pacing plan that enables the digital content distribution campaign to efficiently maximize the remaining resources allocated to the digital content distribution campaign.

Abstract: The technology disclosed herein relates to method, system, and computer program product (computer-readable storage device) embodiments for managing resource allocation in a stream processing framework. An embodiment operates by configuring an allocation of a task sequence and machine resources to a container, partitioning a data stream into a plurality of batches arranged for parallel processing by the container via the machine resources allocated to the container, and running the task sequence, running at least one batch of the plurality of batches. Some embodiments may also include changing the allocation responsive to a determination of an increase in data volume, and may further include changing the allocation to a previous state of the allocation, responsive to a determination of a decrease in data volume. Additionally, time-based throughput of the data stream may be monitored for a given worker node configured to run a batch of the plurality of batches.

Abstract: A promotion system for determining a deficiency in promotion data and correcting for the deficiency is disclosed. Issuing offers from a promotion program results in promotion data being generated. The promotion data may be analyzed to determine an acceptance rate of the offers. The promotion system may compare whether the acceptance rate is above a predetermined threshold, but has a confidence level that is less than a confidence rate threshold. In that event, the promotion system may issue additional offers in order to increase the confidence level associated with the acceptance rate by a predetermined amount.

Abstract: Provided are embodiments including a method, system, and computer program product for identifying how to deliver advertisements to a user based on the user sentiment and learned behavior. The embodiments provide for collecting information on the sentiment of a user, monitoring user interactions based at least in part on the collected emotional information on the sentiment of the user, and determining a pattern of user interactions with one or more applications of a user device based on the sentiment information. The embodiments also provide for determining a pattern of user responses to an advertisement based on the sentiment information, and generating a profile based at least in part on the pattern of user interactions and the pattern of user responses.