Implementation of Short Video Click-Through Rate Estimation Model Based on Cross-Media Collaborative Filtering Neural Network

Table 1

Audio feature extraction results.

Function number	Function name	Description
1	Chromaticity deviation	Standard deviation of 12 chromaticity coefficients
2	Chromaticity vector	The 12 elements of spectral energy represent the 12 isothermal pitch classes (semitone spacing) of Western music
3	Mel’s inverse spectral coefficient	Mel frequency cepstrum coefficients forming the cepstrum representation, where the frequency bands are not linear but have to be distributed according to the Mel scale
4	Spectral roll-off point	Below this frequency, 90% of the spectrum’s amplitude distribution is concentrated
5	Spectral flux	The squared difference between the normalized amplitudes of the spectra of two consecutive frames
6	Spectral entropy	The entropy of the normalized spectral energy of a set of subframes
7	Spectral extension	The second central moment of the spectrum
8	Spectral center of mass	The center of gravity of the spectrum
9	Energy entropy	The entropy of the normalized energy of a subframe, which can be interpreted as a measure of the mutation
10	Energy	The sum of squares of the signal values normalized by the corresponding frame length
11	Trans-zero rate	The rate of sign change of the signal during a given frame duration