Abstract: A digital brand asset system performs the steps of providing payloads for a smart brand asset to a plurality of web servers which include codes representing the smart brand asset, receiving feedbacks on how the smart brand asset is presented on the website servers, collecting web journey data of the website visitors' who have interacted with the smart brand asset, generating a report detailing how effective the smart brand asset has been on the website servers, and presenting the report on a dashboard. Generally, by monitoring the website servers and visitors interacting with the smart brand assets, a report can be generated for the brand owners to determine the effectiveness of the smart brand assets hosted on the website servers. The raw data used to generate the report can be used to autonomically and dynamically change the content based upon the interpretation of the feedbacks.

Abstract: Systems, devices, media, instructions, and methods are provided for presentation of media collections with automated interactive advertising. In one embodiment, a server system merges advertising data with interaction elements to create an advertising element, and communicates the advertising element to a client device with other pieces of content. In another embodiment, advertising data is received at a client device and merged at the client device with interaction elements to generate an advertising element. The advertising element is then displayed between content elements that are part of one or more content collections. In various embodiments, interaction data recorded at the device is used to manage the presentation of future advertising elements.

Abstract: Upon selection of an item, several acquisition options may be available for a user to acquire that item. The attributes of these options vary based on price, delivery speed, and so forth. Differences between a reference option and other options are determined. These differences are used to determine a caption identifier. Caption output data is determined based the caption identifier and presented within a user interface with a corresponding control. The control allows the user to acquire the item using the corresponding option. The caption provides the user with a concise and clear reason as to why a particular option is beneficial to the user. For example, a “Willing to wait?” caption shows an acquisition option for which the item is available at lower cost but longer delivery time than the reference option. Services may obtain the caption output from a caption generator using an application programming interface (API).

Abstract: Embodiments of the present disclosure relate to data correlation of data pertaining to content distributed through distinct content delivery networks including offline networks and data related to user interaction with an online presence on the distributed computer network and uses for such correlated data, including to measure and quantify latent effects of the content distributed through a distinct content delivery network, such as an offline network, on user's interactions with the online presence on the distributed computer network.

Abstract: A media creative attribution method includes determining a response profile within an attribution time window, the response profile being a portion of a unique visitor (UV) curve associated with a website. In some cases, a shadow baseline analysis is run on every media creative that aired within an extended time window to determine whether to adjust the response profile. A total lift within the attribution time window is determined utilizing a baseline of the UV curve. A weight for each media creative that aired within the attribution time window is determined. Utilizing the weight, the total lift is allocated to individual media creatives that aired within the attribution time window. The allocated attribution can be utilized to generate performance metrics relating to the individual media creatives that aired within the attribution time window. The performance metrics such as cost per visitor can be visualized through a user interface or dashboard.

Abstract: An augmented reality (AR) electronic computing device for determining a likelihood of fraudulent content in an advertisement includes receiving a digital image of the advertisement. A dataset of information relating to the advertisement is extracted from the digital image. Content related to the advertisement is identified from the dataset of information. The identified content is used to request identification information regarding the advertisement. The identification information and supplemental information are used to calculate a scam score for the advertisement. The scam score indicates the likelihood of fraudulent content in the advertisement.

Abstract: A system, method and computer-readable medium for controlling usage of electronically shared information, including a user device, an entity device, and a server including an electronic processor. The electronic processor is configured to receive, from the user device, a request to share information for a specified purpose and send, to one or more entity devices associated with an entity, a notification that a user is requesting to share information for the specified purpose. The electronic processor is also configured to receive, from the entity device, a request for information and send a request for the information requested by the entity device to the user device. The electronic processor is further configured to receive the information requested by the entity device and conditions associated with the information from the user device and make the information accessible to the entity device based on the conditions.

Abstract: There are provided a classifier and method of classifying defects in a semiconductor specimen. The method comprises receiving defects classified into a majority class, each having values for plurality of attributes, some defects belonging to a minority class, and some to the majority; selecting an attribute subset and defining differentiators for attributes wherein a second classifier using the subset and differentiators classifies correctly to minority and majority classes at least part of the defects; generating a training set comprising: defects of the majority and minority classes, and additional defects which the second classifier classifies as minority; training, upon the training set, subset, and differentiators, an engine obtaining a confidence level that a defect belongs to the majority class; applying the engine to second defects classified to the majority class, to obtain a confidence level of classifying each defect to the majority class; and outputting defects having a low confidence level.

Abstract: Mechanisms are provided to implement a brand personality inference engine. The mechanisms receive crowdsource information and extract features associated with a brand from the crowdsource information. The crowdsource information comprises natural language content submitted by a plurality of providers to a crowdsource information source. The mechanisms analyze features associated with the brand in accordance with a brand personality model configured to predict a brand personality for the brand based on the features associated with the brand. The mechanisms generate an inferred brand personality data structure, representing a perceived brand personality of providers providing the crowdsource information, and output an output indicating aspects of the perceived brand personality based on the inferred brand personality data structure.

Abstract: Methods and systems described in this disclosure can identify, from a social media listening device, content items posted by a plurality of users, where each of the content items is associated with a social handle. Each of the content items can be mapped to a user identifier associated with a user or a potential user of a service using the social handle. A subset of the mapped content items can be created by selecting the mapped content items that correspond to an event based on content. The mapped content items are then categorized based on the corresponding events in the content items. Service or product opportunity leads can be determined from the mapped and categorized content items.

Abstract: An example method involves a computing device: receiving point-of-view (POV) image data that is generated by an image capture device of a head-mountable device (HMD); using one or more real-world aspects detected in the POV image data as a basis for determining a context of the HMD; making a threshold determination as to whether or not the context of the HMD is appropriate for display of media content in the HMD; and when it is determined that the context is appropriate for display of media content in the HMD, then: (a) selecting first media content for display at the HMD, wherein the first media content is selected based at least in part on a combination of the determined context and a user-profile associated with the HMD; and (b) sending an indication to play out the first media content at the HMD.

Abstract: The current invention concerns a computer-implemented method, a computer system and a tangible non-transitory computer-readable data carrier comprising a computer program product for aligning a query nucleic acid sequence against a reference nucleic acid sequence. An optimal alignment score of the query sequence against the reference sequence is determined by a dynamic programming algorithm. The algorithm is configured for locally optimizing a partial alignment score based on a nucleotide substitution cost, a gap insertion cost, an amino acid substitution cost, as well as a frameshift penalty.

Abstract: A method and an apparatus for processing information are provided. The method includes: determining at least one candidate factor, where the factor is a recommendation feature factor; retrieving a processing model, where the processing model is configured to determine a probability of accessing information by one or more users; in response to an incorporation of the candidate factor into the processing model, generating a first accessing probability of recommended information; determining a difference between the first accessing probability and an original accessing probability of the recommended information in association with the processing model; in response to the difference meeting a predetermined condition, converting the candidate factor into a formal factor; modifying the processing model by incorporating the formal factor; and determining target information, according to the modified processing model, for a delivery of the target information.

Abstract: A method, apparatus, and computer program product are disclosed for automatically generating group promotions. An example apparatus includes context collection circuitry configured to collect contextual data, and group identification circuitry configured to identify an ad-hoc group of consumer devices based on the collected contextual data. The example apparatus further includes a processor configured to determine a group intention associated with the ad-hoc group of consumer devices, and communications circuitry configured to broadcast a group promotion request based on the ad-hoc group of consumer devices and the group intention.

Abstract: A cost-focused determination of whether to deliver an electronic advertisement or notice to a particular user can be made through a cumulative consideration of the predicted return on investment over each of a plurality of electronic channels. A plurality of channel-specific budget values are calculated for the user, one for each channel, each setting an upper spending limit for advertisement to the user over that channel based on the user's information and their activity on the channel. A global budget is calculated for the user using a weighted aggregation of the channel-specific values, information about the user and their activity with the advertiser, and consideration of “overlap” effects of advertising to the same user on several channels. When managing whether to deliver an advertisement over a channel, if the channel-specific value is lower than the global budget, the advertisement is delivered, and the global budget is decreased by a complementary amount.

Abstract: Disclosed is an on-line advertisement method using an advertisement website. An on-line advertisement method according to an embodiment of the present invention provides an advertisement available to a user terminal at a current position of a user terminal which accesses an advertisement website.

Abstract: The invention includes systems and methods, including computer programs encoded on computer storage media, for classifying inputs as belonging to a known or unknown class as well as for updating the system to improve is performance. In one system, there is a desired feature representation for unknown inputs, e.g., a zero vector, and the system includes transforming input data to produce a feature representation, using that to compute dissimilarity with the desired feature representation for unknown inputs and combining dissimilarity with other transformations of the feature representation to determine if the input is from a specific known class or if it is unknown. In one embodiment, the system transforms the magnitude of the feature representation into a confidence score.

Abstract: In general, the embodiments described herein provide systems and methods for evaluating and selecting a pricing markdown solution. Specifically, these systems and methods evaluate a relatively small subset of potential markdown solutions using an objective function to determine a financial impact metric for those markdown solutions. From that relatively small subset, the systems and methods then utilize Gaussian Process Modeling to generate an estimation function of the financial impact metrics. This estimation function can then be used with a directed search to select new potential markdown solutions for evaluation, and results of those evaluations used to update the estimation function. This process is continued iteratively until an optimized markdown solution for the financial impact metric is identified.

Abstract: The present disclosure relates to analysis of content to determine an equity index of a brand by building a data record by procuring input data from at least one platform; enriching the data record to remove noise from the input data to obtain an enriched data record; classifying the enriched data record into at least one category of one or more categories to obtain a classified data record; determining a sentiment ratio for the classified data record; determining an engagement metrics for the brand; and determining the equity index for the brand based on the at least one category and the sentiment ratio, the sentiment ratio and one or more variables.

Abstract: A method, system, and/or computer program product optimize a display of messages on a public electronic video display. A video camera captures images of multiple mobile vehicles that are traversing a vehicular pathway, which is physically proximate to a public electronic video display. The multiple mobile vehicles are categorized into a specific vehicle category based on captured images of the multiple mobile vehicles. The specific vehicle category is matched to a particular set of multiple video display messages. A video display message is displayed on the public electronic video display based on the specific vehicle category.