Abstract:
A computer-implemented method for collecting and managing TV viewership data from multiple TV metering data providers is disclosed. The method includes: receiving an event log file at a distributed computer system that includes multiple computers; dynamically selecting one or more computers according to a predefined sharding function; at each of the selected computers: allocating a set of compressed event records, which corresponds to a subset of the event log file, at predetermined locations within the memory of the computer; and in accordance with a predefined schedule, replicating the compressed event records from a respective one of the selected computers to one or more other computers of the distributed system such that there are at least two replicas of any event record on at least two computers of the distributed computer system.
Abstract:
A method providing real-time popularity information regarding TV programs, performed during a short period of time at a server with one or more processors and memory. The server receives current TV viewing information from a plurality of distinct households. The current TV viewing information for a household identifies one or more TV programs that are now showing at the household. The server aggregates the current TV viewing information, thereby identifying one or more currently popular TV programs. The currently popular TV programs have more household viewers than less popular TV programs. The server receives a request from a household seeking identification of currently popular TV programs. The server selects one or more of the currently popular TV programs identified during the aggregation, and sends information to the household. The information identifies the selected one or more currently popular TV programs.
Abstract:
A method for selecting potential customers for a product/service using a computer server is provided. The computer server collects information consumption activity data, conversion data, and demographic data from panelists that have agreed to share their data with the computer server. For each panelist, the computer server identifies a set of product/service keywords from the information consumption activity data associated with the panelist. For each keyword, the computer server aggregates the demographic data of the panelists associated with the keyword using their conversion data and generates a set of demographic attributes in order to characterize potential customers of the product/service. Subsequently, in response to a request from a client device for characterizing potential customers of a product/service, the computer server identifies product/service keywords and then generates a demographic characterization for the product/service by aggregating the demographic attributes associated with the keywords.
Abstract:
Systems, methods and devices described herein enable sharing content-synchronized ratings, related to media content playing on a first device, using one or more second devices. For example, while a television program is playing on a television, a tablet computer acquires and sends content information derived from the video stream to a server. The server identifies the television program by matching the content information to a fingerprint. Then the server system generates a set of instructions, a time-marker, and one or more content-synchronized ratings collected from other user devices. The set of instructions includes instructions for synchronizing to the time -marker, enabling sharing of one or more content-synchronized ratings, and displaying content- synchronized ratings from other users. The set of instructions and content are sent to the tablet computer for execution and display.
Abstract:
A process tracks user advertisement exposure. To enroll a user as a panelist, the process generates a panelist ID and sends it to the user's home router. The process receives a message from the router that includes the panelist ID and a cookie ID associated with a web application. The cookie ID identifies the application and a personal device. The process stores the correlation between the panelist ID and the cookie ID in a database. The process receives an advertisement request from the personal device that includes the cookie ID. The process selects an advertisement and sends it to the personal device. The process also stores information corresponding to the advertisement request in an advertisement log, including the cookie ID and an advertisement identifier. The programs correlate the advertisement request with the panelist ID using the cookie ID. The process generates a report of the user's online advertisement exposure.