Problems

1. Detect the n contact x by separating r from the y interaction in the program with the subject

z 2. Prediction (probability) n Number of z theme programs (same suggestion recommendation) for y’s interaction from known audience x Over time, one can determine the problem and provide a solution for them. These issues Feedback is gradually dependent on the audience

Data analysis

Targets

1. Recognizing the audience: Recognizing the audience by interacting with the provided content
2. Content Determination: Determines the content to be provided from known feedback interaction interaction
3. Reporting: Large-scale logging of content feedback provided in different segments
4. Advertising management: Provide advertisements on a dedicated topic and to the intended audience

Question A:

User data

The data refers to the feedback received from the audience, which is divided into the following categories: the feedback is all the feedback that we can provide with the iptv features and fields of presentation (the television program and the stackbox, the mobile app, the program Under the web, we get users, these feedbacks are limited. Based on these features, one can not, for example, differentiate the audience according to their race, but maybe it can be estimated in part from the area where IPTV is provided. Ran Iptv Outputs The user side is divided into the following categories:

W The weight factor is the importance and attention of the user

The probability of considering the meaning of the coefficient or weight of the impact of each of the direct or indirect feedback of the audience is to be determined. And the amount of attention and importance of the user to that interaction with the program. These probabilities do not have to have a certain range, for example, they can range from 1 to 100, but they must be meaningful to each other. After determining these weights, they are transmitted to each other in percentages or distributed between 0 and 1.

P parameter of feedback

The feedback parameter is a numerical index of feedback and interaction

Some of these P possibilities are variables 0 and 1, such as visiting or not, and others may also have a few specified values, such as the visit time that is set, for example, from 7 to 10, the value of the feedback parameter is 5, and since the time From 10 to 3 am this value is 2.

These values may be negative in cases where the negative parameter itself has a negative value in the user’s attention, for example, the value of the parameter for switching off the device -2.

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