Abstract: In a computer apparatus, at least processor is arranged to determine values for two or more candidate advertisements. Based on the determined values, one of the candidate advertisements is selected. The selected advertisement is displayed on a user interface.

Abstract: A scoring server makes it possible for a provider of advertising or other content to arbitrarily search for an influencer who is suited to a promotion and to easily control target numbers or target conditions, and is capable of making effects and results from distribution of the promotion feedback into impact and information communicativity and improving precision. This server is connected by a network to a subscriber terminal, an SNS server, and a content provision terminal. Said server: communicates with the SNS server and creates a score of a subscriber's information communicativity; provides content to the subscriber terminal which has been provided from the content provision terminal; and re-creates the score using an action history with respect to the SNS server in relation to the content of the subscriber terminal, and the response to the actions, as feedback elements.

Abstract: Aspects of the subject disclosure may include, for example, embodiments for determining a media profile for media content. The media profile comprises a media metric for each of a plurality of portions of the media content. Further, embodiments include determining a price for advertising associated with the media content. In addition, embodiments include identifying an advertisement profile for each of a plurality of advertisements. The advertisement profile comprises an ad metric for each of a plurality of portions of an advertisement. Also, embodiments include selecting a first advertisement associated with a first advertisement profile from the plurality of advertisements according to the media profile, the first advertisement profile, and the price for the advertising associated with the media content. Further, embodiments include providing the first advertisement to be presented with the media content at a playback device. Other embodiments are disclosed.

Abstract: A quantification system is configured for debiasing media creative efficiency. In some embodiments, the quantification system leverages a weighted generalized linear model (GLM) to determine the individual impacts of media creatives beyond network effects. To prepare input data for fitting the weighted GLM, the quantification system analyzes spot airing data, creates a specific data structure for storing observations (e.g., network-media creative combinations) that can be provided to the weight GLM as input, and computes additional input data points needed by the weighted GLM (e.g., network spend, media creative efficiency per network-media creative combination, etc.). The weighted GLM is then fitted to obtain coefficients representing the individual impacts of the media creatives. The quantification system utilizes the computed impacts to adjust the previously computed media creative efficiency for each media creative.

Abstract: Provided are a viral marketing service providing system for distributing advertisement costs for each marketer by analyzing a behavior of a content receiver, and a method therefor. For the viral marketing service for distributing advertisement costs for each marketer, the system comprises a content receiver behavior analyzing unit and a traffic quality index calculating unit, thereby precisely filtering abusing marketers (abusers), and thus can minimize damages to legitimate marketers with good intentions at the time of distributing predetermined advertisement costs. Also, the system can extract, by using a traffic quality index, high quality marketers who generate active behaviors on an advertiser's landing page or start a rumor of contents in a manner which aids in the advertising purpose of an advertiser, thereby distributing some of the advertisement costs paid by an advertiser to the marketers at a higher rate than other marketers.

Abstract: An image processing unit (110) acquires a position of an advertisement and a position of a product by analyzing an image in which the product and the advertisement are disposed on a shelf rack are captured. A determination unit (120) determines whether or not a relation between the position of the product and the position of the advertisement satisfies a criterion. An output unit (130) outputs information indicating a determination result obtained by the determination unit (120).

Abstract: A method of operating a health tracking system includes utilizing user profile data for a user and health parameter data received from a health tracking device associated with the user to derive parameters relating to the user. The parameters are compared to tags associated with content pages or objects to determine a relevancy or match. Particular ones of a plurality of content pages or objects are selected for delivery to the user based on the comparison.

Abstract: Techniques are described for automatically identifying and inhibiting suspect electronic communications between users, such as for electronic communications that may reflect fraudulent activities by one or more of the users or that are otherwise inappropriate for one or more reasons. In some situations, the communications may relate to transactions in which the users are involved, such as for users that are buyers and sellers of items interacting via one or more electronic marketplaces. The communications may occur via a communication mechanism provided by an electronic marketplace that acts as an intermediary between the sender of a communication and the one or more intended recipients of the communication. The automatic identification of suspect communications that may be inappropriate includes automatically assessing the communications in one or more ways, and identified suspect communications and any associated inappropriate user activities may be inhibited in various ways.

Abstract: A media content item is evaluated for its “sentiment states.” That is, segments of the content item are determined to be, for example, “happy,” “exciting,” “sad,” “funny,” and the like. A “sentiment map” is created that delimits segments of the content item and contains the sentiment-state keywords associated with the segments. Some maps include an amplitude for each assigned sentiment keyword and a confidence value for the segment delimitation and for each keyword. As an exemplary use of the sentiment map, an advertisement broker matches the sentiments of his advertisement offerings with segments of a content item in order to place appropriate advertisements at times when they would be most favorably received. In another example, a recommender system recommends to a user a content item whose sentiment map compares favorably to that of a content item already enjoyed by the user.

Abstract: Systems and methods are described for a causal marketing attribution process that includes the receiving of a plurality of marketing events associated with a customer and computing a sum of a plurality of channel-specific terms corresponding to the plurality of marketing events, wherein each of the plurality of channel-specific terms comprises a channel-specific base parameter and a channel-specific decay parameter. Additionally, the causal marketing attribution process computes a sum of a plurality of interaction terms, wherein each interaction term comprises a product of a pair of channel-specific terms, and determines a probability of a target outcome for the customer based on the sum of the plurality of channel-specific terms and the sum of the plurality of interaction terms.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for collecting pre-feature data for a promotion, performing analytics on the pre-feature data, predicting the promotion sales velocity based on applying an odds model to the pre-feature data, and determining a quantity of goods to source based at least in part on the promotion sales velocity.

Abstract: In a global network of computers, a method ad system of profiling a user for targeting advertisements is disclosed. The method and system obtains and/or infers demographic information from end-users using on-line means. The invention next monitors end user activity and determines keywords therefrom. The system and method profiles an end user as a function of the determined end-user activity keywords and obtained/inferred end-user demographic information. Profiles of end-users are matched against targeted profiles of advertisements which are defined by the respective advertisers. This results in targeting advertisements to end-users based on end user profiles. Advertisers bid for advertisement placement with the system. In some embodiments, the system employs Vickrey auction type bidding. Using observed user behavior and the auction results, ads are prioritized for selection and viewing placement in a manner that provides the greatest potential value to the system.

Abstract: Aspects of the subject disclosure may include, for example, a method including receiving advertisements from a remote advertising content provider and pre-loading the advertisements at a communication device. An advertisement is selected for presentation at a presentation device, based on a user's advertising viewing history, the duration of the advertisement, the device location, the device environment, the user's demographic profile, or the user's activities. The presentation device presents the advertisement responsive to the trigger message. The effectiveness of the advertisement is determined, and the advertisement viewing history is updated; the advertisement is selected based in part on the effectiveness of a past presentation of the advertisement. Other embodiments are disclosed.

Abstract: A valid combination of products is constructed from a set of products identified by a retailing backend system. The valid combination satisfies a condition of an offer. A product in the combination of product is a physical product located in a physical store. A social sentiment towards the product in social media data of a shopper is evaluated, and a rating of the product is computed using the evaluation. A location of the product in the store is obtained from the retailing backend system. The location of the product is overlaid on a view of the store, where the view is from a perspective of a location of the shopper, the shopper being physically situated in the store.

Abstract: A method and system for assisting customers in determining a best retail store location, reaching the location and obtaining assistance from a retail store associate at the location is disclosed. The method employs mobile communication device hardware, software and communication network infrastructure as well as near-field transmitters and receivers to achieve beacon orientation and location functionality.

Abstract: The disclosed embodiments generally relate to systems, methods, and apparatus for dynamic context-based electronic offer communication. In one aspect, a computer server is disclosed, comprising: a hardware processor configured to execute instructions stored in a memory to: receive location data from a mobile device; determine a context of the mobile device based on the location data; generate a database query using the determined context; send the generated query to an events database; receive a conditional electronic offer from the events database; determine user data requirements based on the conditional electronic offer; send a request based on the user data requirements to a secure server; receive user data from the secure server; generate an electronic offer communication based on the conditional electronic offer when the user data received from the secure server meets the user data requirements; and send the electronic offer communication to the mobile device.

Abstract: Techniques are disclosed for implementing digital traffic data for analysis. In some examples, a telecommunications network determines an identity of a user associated with a user device that communicates with the telecommunications network. The telecommunications network identifies a physical location of the user device based on the user device communicating with a first transceiver of the telecommunications network. Then, the telecommunications network determines that the physical location of the user device corresponds to a first commercial location, and stores an indication that the user has visited the first commercial location.

Abstract: Systems, methods, and computer-readable media are disclosed for predictive user segmentation modeling and browsing interaction analysis for digital advertising. In one embodiment, an example method may include identifying a target consumer segment, generating a predictive user behavior model for the target consumer segment based at least in part on selected user data, and receiving an indication that a user is browsing a website. Example methods may include generating a first customer score for the user using the predictive user behavior model in real-time, and determining that the first customer score meets a consumer segment modification threshold for the target consumer segment.

Abstract: An omni-channel coupon system may link electronic coupons across several couponing channels by storing the electronic coupons in association with a user profile or loyalty account. A user may clip electronic coupons from several couponing channels, such as a mobile application, retail web page, social networking web page, email, short message service (SMS) message, a physical coupon, a manufacturer/third-party web page or other affiliated web page, a manufacturer/third-party application, etc. Each clipped electronic coupon may be stored with a user profile for the user. When the user purchases products or items at an online or retail store, the electronic coupons may be retrieved from the user profile and redeemed.

Abstract: A computer implemented method for filtering information delivered via a social media service. The method includes receiving social media data from the social media service at a social media computing system and analyzing the received social media data. Analyzing the received social media data comprises categorizing content within the received social media data as one or more of restricted content elements and unrestricted content elements. The restricted content elements and the unrestricted content elements are determined based on one or more predetermined parameters associated with a user profile. The method further including transmitting the unrestricted content elements to a user device.