Method and System for Processing Data Used By Creative Users to Create Media Content
Large amounts of data from the Internet are collected for media content available of viewing, and user experience of audiences accessing the media content. The collected data is processed using intelligent tools and classified in a manner that facilitates searching data on the basis of time ranges. Pertinent information is extracted and presented to media content creators to enable them with the necessary knowledge to create new media content that is relevant, interesting and engaging to the creator users' target audiences, by detecting trends and changes of interest.
1 . A method for enabling creator users in producing media content relevant for a target audience, said method is embodied as computer program code that is executed in a system of networked computers and collect and process media context data, and present creator users with recommendation to create new media content, said method comprising the steps of:
obtaining a plurality of media context data;
obtaining a plurality of media content viewer data;
obtaining a set of classes wherein each class defines a class of user behavior from said media content viewer data;
providing a creator user a multi-level aggregated statistical data; and
providing said creator user a set of recommendation data comprising a time-line of recommendations for enabling said creator user to release a new media content at the most opportune time to a target audience.
2 . The method of claim 1 , wherein the step of obtaining said plurality of media content viewer data further comprising a set of topics of interest to viewers.
3 . The method of claim 1 , wherein the step of obtaining said plurality of media content viewer data further comprises a plurality of demographic attributes.
4 . The method of claim 3 further comprises obtaining demographic data including age, sex and audience interest data of viewers.
5 . The method of claim 4 further comprises obtaining break down of said demographic data of viewers.
6 . The method of claim 1 further comprising comparing the statistical processing results of data from multiple data sources.
7 . The method of claim 1 , wherein the step of providing said creator user a set of recommendation data further comprises providing a recommendation to make media content in an area that is consistently performing with increasing success.
8 . The method of claim 1 , wherein the step of providing said creator user a set of recommendation data further comprises providing a recommendation to make media content in a category that is lacking coverage.
9 . A system for enabling creator users to produce media content that is relevant for a target audience, said system is embodied as a system of networked computers executing program code to collect and process media context data, and present creator users with recommendation to create new media content, said system comprises program code that enables the system to:
obtain a plurality of media context data;
obtain a plurality of media content viewer data;
obtain a set of classes wherein each class defines a class of user behavior from said media content viewer data;
provide a creator user a multi-level aggregated statistical data; and
provide said creator user a set of recommendation data comprising a time-line of recommendations for enabling said creator user to release a new media content at the most opportune time to a target audience.
10 . The system of claim 9 , wherein said program code that enables the system to obtain said plurality of media content viewer data further comprises program code that enables the system to obtain a set of topics of interest to viewers.
11 . The system of claim 9 , wherein said program code that enables the system to obtain said plurality of media content viewer data further comprises program code that enables the system to obtain a plurality of demographic attributes.
12 . The system of claim 11 further comprises program code that enables the system to obtain demographic data including age, sex and audience interest data of viewers.
13 . The system of claim 12 further comprises program code that enables the system to break down said demographic data of viewers.
14 . The system of claim 9 further comprises program code that enables the system to compare the statistical processing results of data from multiple data sources.
15 . The system of claim 9 , wherein said program code that enables the system to provide said creator user a set of recommendation data further comprises program code that enables the system to provide a recommendation to make media content in an area that is consistently performing with increasing success.
16 . The system of claim 9 , wherein said program code that enables the system to provide said creator user a set of recommendation data further comprises program code that enables the system to provide a recommendation to make media content in a category that is lacking coverage.