Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing digital components to a client device. Methods can include assigning a temporary group identifier to a client device that identifies a particular group, from among a plurality different groups, that includes the client device based on a current period of user activity on the client device. A training set is generated for training a machine learning model that generates user characteristics. A request for digital component is received from the client device that includes the temporary group identifier currently assigned to the client device, a subset of activity features and one or more additional features that are based on the client device. The machine learning model generates one or more user characteristics based on which one or more digital components are selected and transmitted to the client device.

Disclosed is an electronic device. The electronic device includes: a memory; and a processor configured to control the electronic device by executing instructions stored in the memory so that the electronic device determines a target customer suitable for selling a travel package, in which the memory stores purchaser information associated with actual purchasers who have purchased travel packages of a plurality of sellers and purchase history information associated with purchase histories of each of the purchasers, and the processor uses the purchaser information to generate virtual customers from a real purchaser, generate a test product for testing whether virtual customers make a purchase, and determine a target customer having high expected sales for the test product among the virtual customers.

The invention relates to methods, systems, and computer-readable media related to a system having a plurality of users, designed to display a user-customized subset of item and/or provider information to the user.

The disclosure is directed at a method for data collection and processing within an online system which monitors a user's activity on the online system and then creates a list of business offers for display to the user. The list of business offers is not displayed to the user until the user performs an action relating to a request to review the list of business offers.

Methods and systems are provided herein for recommending a media asset based on a geographic location at which that media asset was frequently consumed. For example, the system may monitor a location, such as New York City or Times Square, to determine popular media assets watched there, such as “The Avengers,” and when another user visits New York City, the system may then notify the user that the movie, such as “The Avengers,” is associated with New York City. The system stores the geographic locations associated with the media asset in the database based on the consumption of the media asset so that other users may be notified which media assets are associated with each geographic location.

An information processing apparatus 10 acquires face image data of a passenger 55 who has disembarked from an aircraft from an image capture device 51, and acquires identification information corresponding to the face image data acquired from the image capture device 51 from the storage device 52. In the storage device 52, the identification information of the passenger, which includes flight information of the passenger 55, and the face image data of the passenger are stored in association with each other in advance. The information processing apparatus 10 determines, based on the flight information included in the acquired identification information, whether the passenger 55 is a passenger who is to re-board an aircraft after disembarking from the aircraft. If the passenger is a re-boarding passenger, a tour suitable for the passenger 55 is determined based on the acquired identification information, and the information is displayed on the display devices 53 and 54.

An advertising method, device and system, and a computer-readable storage medium are provided. The method includes: acquiring user information; sending the user information to a server that stores an advertising requirement, wherein the advertising requirement includes an advertisement content and an advertising condition of the advertisement content; receiving an advertising instruction of the advertisement content from the server, wherein the advertising instruction of the advertisement content is generated by the server when the user information meets the advertising condition of the advertisement content; and playing the advertisement content in response to the advertising instruction.

A system, method, and device for monetizing content. Content associated with tokens managed by a system are automatically searched for. The content is identified. Utilization of the content by one or more parties is verified according to a license of a smart contract. The license is enforced against the one or more parties in response to determining the license is not verified. License fees are collected for utilization of the content associated with the tokens. The user is compensating accorded to the terms of the smart contract.

A method for classifying a tenant as being associated with one of a plurality of customer categories includes receiving a request to classify a tenant as being associated with one of a plurality of customer categories, dynamically retrieving from one or more data source systems, a plurality of data signals associated with the tenant, one or more of the plurality of data signals being stored as individual properties for the tenant in the one or more data source systems, dynamically identifying, in real-time, the tenant as being associated with one of the plurality of customer categories based at least on the plurality of data signals, and storing the identified one of the plurality of customer categories as a classification data signal for the tenant.

User data overlap determination in a digital medium environment is described. Initially, a user selects segments of user data for which a determination of overlap is to be made. For example, the user selects a segment representing users that are working professionals and a segment representing users that are mothers, such that working-mother users may correspond to the overlap. Regardless of the particular segments selected, an indication of those segments is received. One of multiple different overlap determining techniques—which can include a combined MinHash and HyperLogLog (HLL) technique and an Inclusion-Exclusion technique—may be selected for computing the overlap based on a number of segments indicated and numbers of users represented by the segments. The selected overlap determining technique is then used to compute the user data overlap between the indicated segments. Digital content including values indicative of the determined overlap is generated for presentation to a user.