Electronic arrangement (112) comprising a data interface (210) for transferring data with external elements, at least one processor (202) for processing instructions and other data, and memory (204) for storing the instructions and other data, said at least one processor being configured, in accordance with the stored instructions, to obtain at least one predictive user model (312,314) including one or more demographic characteristics as dependent variables to be predicted and usage statistics of applications as explanatory variables, obtain deterministic usage (316) statistics indicative of digital applications a target user has utilized during a monitoring period, and determine (318), through utilization of the deterministic usage statistics obtained during the monitoring period as input to the at least one established predictive model, an estimate of said one or more of the demographic characteristics of the target user. The arrangement may be configured to receive the model from an external modeling arrangement or establish the model by itself based on training data. A related method to be executed by the arrangement is presented.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. An electronic arrangement, preferably comprising a number of at least functionally connected servers, for predicting user demographics, comprising a data interface for transferring data with external elements, at least one processor for processing instructions and other data, and memory for storing the instructions and other data, said at least one processor being configured, in accordance with the stored instructions, to cause the electronic arrangement to: obtain deterministic user data having regard to a plurality of terminal users and a modeling period, wherein user data associated with each user of said plurality of users indicates a number of demographic characteristics of that particular user as well as usage statistics indicative of digital applications said particular user has utilized during the modeling period, utilize a selected modeling scheme to establish at least one predictive user model including one or more of the demographic characteristics as dependent variables to be predicted and the usage statistics of applications as explanatory variables, obtain deterministic usage statistics indicative of digital applications a target user has utilized during a monitoring period, and determine, through utilization of the deterministic usage statistics obtained during the monitoring period as input to the at least one established predictive model, an estimate of said one or more of the demographic characteristics of the target user. 2. The arrangement of claim 1, configured to determine preferences or interests of the target user based on the estimate to supply a terminal of the target user with digital content, optionally advertisement, application or personalized application, in line with the preferences or interests. 3. The arrangement of claim 1, wherein the usage statistics incorporate application-level statistics indicative of the usage of individual applications. 4. The arrangement of claim 1, configured to apply a selected dimensionality reduction technique to application-level usage statistics data, whereupon the related explanatory variables are preferably rendered categorical, each covering an application category. 5. The arrangement of claim 1, wherein the at least one predictive user model comprises a logistic regression model, preferably with a categorical dependent variable associated with a selected demographic characteristic and a plurality of optionally binary type explanatory variables, each being associated with a particular application or a higher level generalization such as application category covering a plurality of applications. 6. The arrangement of claim 1, wherein indicated usage of an application included in the usage statistics covering the modeling or monitoring period is based on a detected user-triggered execution of the application or a detected user interaction or other engagement with the application during the modeling or monitoring period, respectively, while preferably omitting mere installation of the application as an indication of application usage in the usage statistics. 7. The arrangement of claim 1, comprising at least one substantially passive metering client for installation at a user terminal, said client being configured to collect, essentially in the background, the usage statistics having regard to the digital applications during the modeling and/or monitoring period. 8. The arrangement of claim 1, wherein the demographic characteristics indicate at least one element selected from the group consisting of: gender, age, marital or relationship status, race, income, language, country, occupation, and religion. 9. The arrangement of claim 1, comprising at least one element selected from the group consisting of: a data management platform (DMP), supply side platform (SSP) and a demand-side platform (DSP). 10. The arrangement of claim 1, provided with at least access to user data regarding a greater group of users, preferably including demographic, interest and/or behavioral data, said greater group preferably including said target user, and configured to receive a data request indicative of target criteria for users, preferably in terms of desired demographic, interest and/or behavioral characteristics thereof, and determine a sub-group of users from said greater group of users based on searching and finding users therefrom whose user data fulfills said target criteria according to a selected matching procedure. 11. The arrangement of claim 1, provided with at least access to user data regarding a greater group of users, preferably including demographic, interest and/or behavioral data, said greater group preferably including said target user, and configured to receive a data request indicative of target criteria for users, preferably in terms of desired demographic, interest and/or behavioral characteristics thereof, and determine a sub-group of users from said greater group of users based on searching and finding users therefrom whose user data fulfills said target criteria according to a selected matching procedure, wherein the arrangement is configured to execute a selected lookalike modeling procedure based on the target criteria and the user data regarding the greater group of users to increase the size of said sub-group of users determined as a match from said greater group of users. 12. A method for predicting user demographics to be performed by at least one electronic apparatus, optionally a number of functionally connected servers, comprising obtaining deterministic user data having regard to a plurality of users and a modeling period, wherein user data associated with each user of said plurality of users indicates a number of demographic characteristics of the user as well as usage statistics indicative of digital applications the particular user has utilized during the modeling period, establishing, through utilization of a selected modeling scheme, at least one predictive user model including one or more of the demographic characteristics as dependent variables to be predicted and the usage statistics of applications as explanatory variables, obtaining deterministic usage statistics indicative of applications a target user has utilized during a monitoring period, and providing, through utilization of the deterministic usage statistics regarding the monitoring period as input to the at least one established predictive model, an estimate of said one or more of the demographic characteristics of the target user. 13. The method of claim 12, further comprising determining preferences or interests of the target user based on the estimate and preferably supplying a terminal of the target user with digital content, optionally advertisement, media file, application or personalized application feature, in line with the preferences or interests. 14. The method of claim 12, comprising determining a number of most predictive applications for a demographic characteristic based on the obtained deterministic user data. 15. The method of claim 12, comprising obtaining at least access to user data regarding a greater group of users, preferably including demographic, interest and/or behavioral data, said greater of users further preferably including said target user, receiving a data request indicative of a number of target criteria for users, and determining a sub-group of users from said greater group of users based on searching and finding users therefrom whose user data fulfills said target criteria. 16. The method of claim 12, comprising obtaining at least access to user data regarding a greater group of users, preferably including demographic, interest and/or behavioral data, said greater of users further preferably including said target user, receiving a data request indicative of a number of target criteria for users, and determining a sub-group of users from said greater group of users based on searching and finding users therefrom whose user data fulfills said target criteria, wherein a selected lookalike modeling procedure is executed based on the target criteria and the user data regarding the greater group of users in order to increase the size of said sub-group of users determined from said greater group of users. 17. A computer program product embodied in a computer readable non-transitory carrier medium, comprising computer-executable code to cause: obtaining deterministic user data having regard to a plurality of users and a modeling period, wherein user data associated with each user of said plurality of users indicates a number of demographic characteristics of the user as well as usage statistics indicative of digital applications the particular user has utilized during the modeling period, establishing, through utilization of a selected modeling scheme, at least one predictive user model including one or more of the demographic characteristics as dependent variables to be predicted and the usage statistics of applications as explanatory variables, obtaining deterministic usage statistics indicative of applications a target user has utilized during a monitoring period, and providing, through utilization of the deterministic usage statistics regarding the monitoring period as input to the at least one established predictive model, an estimate of said one or more of the demographic characteristics of the target user. 18. (canceled) 19. An electronic arrangement comprising a data interface for transferring data with external elements, at least one processor for processing instructions and other data, and memory for storing the instructions and other data, said at least one processor being configured, in accordance with the stored instructions, to cause the electronic arrangement to: obtain at least one predictive user model including one or more preferably demographic characteristics as dependent variables to be predicted and usage statistics of applications as explanatory variables, obtain deterministic usage statistics indicative of digital applications a target user has utilized during a monitoring period, and determine, through utilization of the deterministic usage statistics obtained during the monitoring period as input to the at least one established predictive model, an estimate of said one or more of the dependent variables, preferably demographic characteristics of the target user.