Frequency controlling method for forecasting TV watching rate

Abstract

The invention is concerned with the selecting-frequency controlling method for forecast the TV audience rating, including the following steps: the initialization; the self-test; estimates whether or not interrupting order, processes interrupting processing and read the controlling order code if it is, transforms the TV channel to the position of the controlling position and enters the display driving processing; enters the display driving processing directly if it is not; the display driving processing; the keyboard scanning processing, estimates whether or not pressing down, reads the keyboard value and processes the corresponding operation if it is, processes the differentiation of the controlling order code; the estimation of the TV channel transform controlling position, estimates the TV channel transform controlling position whether or not on position, and then re-judges the interrupting order and enforces circularly; re-judges the interrupting order directly and enforces circularly if it is not.

Description

[0001] This application is a divisional application. The application date of the original application is July 10, 2002, the application number is 02134334.9, and the name is "a system for predicting TV ratings". technical field [0002] The present invention relates to a system for predicting television ratings. Background technique [0003] With the widespread popularization of TV, TV, as a visual carrier of advertisement, has an increasing impact on various industries, and the publicity effect of TV advertisement is directly related to the ratings of various time periods, channels, and various programs on TV. When selecting a certain period of time, a certain channel and the corresponding program of this channel, the advertisement of watching this program has been selected passively or actively to a considerable extent. Therefore, when an advertiser chooses the TV station, broadcast time period and corresponding program for the advertisement, the TV rating is a very import...

AI Technical Summary

Problems solved by technology

The existing statistical data on TV ratings comes from a sample survey of TV ratings. Since it mainly relies on manual operations to conduct post-surveys on users’ viewing of TV, the cost of data collection is high, and the sample size is also greatly limited. The reliability of the obtained audience rating data is low, and because the survey, analysis and evaluation are carried out after the program is broadcast, it is impossible to predict the TV audience rating before the broadcast, so that advertisers cannot place advertisements in a targeted manner

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