What does normalized mean in this context?

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In summary, the author in the paper being read uses the word "normalized" to refer to a metric called normalized interruption time (NIT), which is obtained by dividing the total interruption time of each view by the viewed length. This is done in order to account for the wide variation in viewed length by different users. When asked about the exact origin of this concept, the response is that it typically involves dividing the viewed length by the entire duration of the video.
  • #1
find_the_fun
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In a paper I'm reading the author keeps using the word "normalized". What does it mean?
We use playback interruption time as our main metric.
However, since the viewed length by a user varies widely,
instead of just measuring total interruption time of each view,
we normalize it by the viewed length, which we call the
normalized interruption time (NIT).

Does it mean dividing the sum of the interuptions by the sum of the non-interrupted times? Or diving it by the total time thus far? Or dividing by the entire time of the video?
 
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It means diving each viewed length by the original duration of the video.
However, you must tell about the exact origin of this paragraph.
 
  • #3
phymat said:
It means diving each viewed length by the original duration of the video.
However, you must tell about the exact origin of this paragraph.

Dividing by the entire duration of the video or up to the point watched?
 
  • #4
find_the_fun said:
Dividing by the entire duration of the video or up to the point watched?

Usually it would mean dividing by the entire duration of the video.
 

1. What is the definition of normalization in scientific contexts?

In scientific contexts, normalization refers to the process of standardizing data or variables to a common scale. This allows for more accurate comparisons and analysis between different data sets or variables.

2. Why is normalization important in scientific research?

Normalization is important in scientific research because it helps to eliminate bias and inconsistencies in data. It also allows for more accurate and reliable conclusions to be drawn from the data.

3. What are some common methods of normalization used in science?

Some common methods of normalization used in science include mean normalization, min-max normalization, and z-score normalization. These methods involve transforming the data to a standard range or distribution.

4. How does normalization differ from standardization?

Normalization and standardization are often used interchangeably, but they have slightly different meanings. Normalization involves scaling data to a common range, while standardization involves transforming data to have a mean of 0 and standard deviation of 1.

5. What are the benefits of using normalization in scientific studies?

Normalization has several benefits in scientific studies, including improving data quality, allowing for more accurate comparisons and analysis, and reducing the impact of outliers on the data. It also helps to ensure that results are not influenced by the scale or units of measurement used for different variables.

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