Abstract: A method of generating a targeted advertisement by identifying a target criteria from an entry of a search history associated with a user, identifying an intended recipient based on social information associated with the user and the target criteria, and associating at least one item with the intended recipient by analyzing the social information and the target criteria. Further, the method includes outputting as advertisement information the at least one item and at least one of a plurality of advertisement recipients. The advertisement information enables the generation of the targeted advertisement and the at least one item is utilized in the targeted advertisement.

Abstract: A method of generating a targeted advertisement by identifying a target criteria from an entry of a search history associated with a user, identifying an intended recipient based on social information associated with the user and the target criteria, and associating at least one item with the intended recipient by analyzing the social information and the target criteria. Further, the method includes outputting as advertisement information the at least one item and at least one of a plurality of advertisement recipients. The advertisement information enables the generation of the targeted advertisement and the at least one item is utilized in the targeted advertisement.

Abstract: Identifying personalized content recommendations for users in an electronic environment is disclosed. User data comprising information relating to web-based content consumption of multiple users is collected. Multiple user cluster types associated with one or more interest categories are established. A feature vector is generated for each user for each of the multiple user cluster types. Based on the generated feature vectors, the user are grouped into multiple clusters. A grade is generated for each of a plurality of candidate recommendations for each of the clusters. Based on the generated grades, one or more personalized content recommendations for each of the clusters are identified.

Abstract: A method of providing digital coupons to a user includes comparing a first plurality of codes with a second plurality of codes to identify one or more matching codes. The first plurality of codes are associated with products offered at a discount by a retailer, and the second plurality of codes are associated with products having a manufacturer discount associated therewith. A listing of one or more products associated with the respective one or more matching codes is displayed along with a digital coupon for each respective product. Each digital coupon has a combined value of the retailer discount and the manufacturer discount, and each digital coupon is user-selectable for placement in a digital wallet. In response to user selection, a digital coupon is placed within the digital wallet and is available for redemption at a location of the retailer.

Abstract: Systems and methods are disclosed for electronic distribution of electronic content. The method may include receiving, from an advertiser or content provider, a request to transmit electronic content to a plurality of electronic devices of a desired subset of individuals. The electronic content may relate to a target location affiliated with the advertiser or content provider. The method also may include retrieving population density data for the target location and surrounding area, and correlating the subset of individuals with the population density. In addition, the method also may identifying a geographical zone extending from the target location to a perimeter location. The zone may have a size based on the population density correlated with the subset of individuals. The method may further include receiving an indication that the electronic device of a user has entered the geographical zone, and transmitting electronic content to the electronic device of the user.

Abstract: A method for identifying software robot activity in a communication network, the method comprising: receiving ad delivery requests from multiple clients identified by a unique identifier; selecting a subset of clients from the multiple clients, based on a result of a mathematical operation applied to a character string in each of the unique identifiers; delivering ads only to the subset of clients, wherein each of the ads comprises a landing page URL (uniform resource locator); determining that landing page redirection requests which are received from clients not belonging to the subset are made by one or more software robots.

Abstract: The present invention extends to methods, systems, and computer program products for presenting advertising content during searches of digital receipts. Advertising content can be presented at a user interface used to search digital receipts. During character by character input of a search term, input characters are detected as entered. Prior to completely entering the search term, detected characters can be transmitted from a customer device to an advertising system. The advertising system can match the characters to one or more advertisements. The advertising system can return the one or more advertisements back to the customer device. The customer device can present the one or more advertisements at the user interface.

Abstract: According to an embodiment, a server includes a first acquiring unit, a second acquiring unit, an analyzing unit, and an output unit. The first acquiring unit is configured to acquire recognition information includes a product identification information for identifying the product. The second acquiring unit is configured to acquire combination information including the product identification information of the product to be combined with an object image including an object. The analyzing unit is configured to calculate product priorities for respective products by analyzing the recognition information and the combination information. The output unit is configured to output information based on the product priorities.

Abstract: A server computer system identifies a user and a destination document. The server computer system identifies recommendations that correspond to the user and the destination document. The server computer system determines grades for the recommendations based on the user and/or the destination document. The server computer system determines serving probabilities for the recommendations based on the proportions of the grades and provides the serving probabilities to serve the recommendations.

Abstract: Methods and systems are presented for data distribution in which batch evaluations of aggregate performances of taskset-completing participants conditionally trigger eligibility notifications for upcoming on-chain batch data distributions (of cryptoassets, provenance data, or other on-list content, e.g.).

Abstract: A server computer system receives campaign data from one or more content providers. The server computer system determines assignments of recommendation opportunities in documents to recommendations based on the campaign data. The server computer system ranks the recommendations based on the assignments, allocates the recommendations to the documents based on the rankings of the recommendation opportunities, and determines pricing for the recommendations based on the allocations.

Abstract: An embodiment of the invention identifies a positive reaction to an advertisement and sends the advertisement to a mobile and/or wearable electronic device of a user. The advertisement can be sent to the mobile and/or wearable electronic device of the user only when the user is within a first threshold distance to a store of the advertiser, the user is within a second threshold distance to a store that is within a third threshold degree of similarity to the advertisement, the user is within the second threshold distance to a store that is within the third threshold degree of similarity to the advertiser, the user is browsing a website of the advertiser, the user is browsing a website that is within a fourth threshold degree of similarity to the advertisement, and/or the user is browsing a website that is within the fourth threshold degree of similarity to the advertiser.

Abstract: Shopping systems, user interfaces, and methods that provide a user a way to quickly and seamlessly shop and purchase from an advertisement at the moment of discovery of the product(s) within the advertisement. A user can use a mobile device to scan the advertisement using an application that resides on the mobile device. The advertisement is then recognized to determine recognized products appearing in the advertisement. A list of products from the recognized products is then displayed on the display screen of the mobile device to enable the user to shop and, if desired, purchase one or more of the products.

Abstract: Methods and apparatus for identifying on-line users for advertisement or content targeting are disclosed. Historical user data is obtained in association with user identifiers, which have been unambiguously determined. The historical user data includes event data for one or more on-line user events that have occurred for each user identifier. The historical user data also specify fingerprint vectors of characteristic values that are each associated with specific ones of the user identifiers. A current one of the fingerprint vectors that is ambiguously associated with two or more user identifiers is received. A first user identifier is selected from the associated two or more user identifiers of the current fingerprint vector based on the event data of the historical user data. The selected first user identifier is provided to a server configured to provide advertisement or content based on user profile data that is obtainable for such selected first user identifier.

Abstract: A receptacle may include a container to receive trash and other items. The receptacle may also include a display area to provide advertisements to people located in the vicinity of the receptacle.