Integration of social interactions into media sharing
US-2018046718-A1 · Feb 15, 2018 · US
US10348663B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10348663-B2 |
| Application number | US-201615235253-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 12, 2016 |
| Priority date | Aug 12, 2016 |
| Publication date | Jul 9, 2019 |
| Grant date | Jul 9, 2019 |
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Official abstract text for this publication.
Embodiments for managing social commentary as applicable to social media by a processor. A spectrum of weights is assigned to individual portions of the social commentary as a function of a determined measured characteristic. Those of the individual portions having a higher weight than a predetermined threshold are selected to be displayed through the social media in a hierarchy corresponding to a position in the spectrum of weights, while those of the individual portions having a lower weight than the predetermined threshold are selected to be withheld from display. A deduplication operation is applied to the individual portions of the social commentary. Those of the individual portions determined to be repetitive greater than a predetermined number are used to assist in formulating weights of the individual portions.
Opening claim text (preview).
The invention claimed is: 1. A system for managing social commentary as applicable to social media in a distributed computing environment, comprising: a processor, operational within and between the distributed computing environment, that: assigns a spectrum of weights to individual portions of the social commentary as a function of a determined measured characteristic, the social commentary comprising interactive comments associated with video content shared on the social media, wherein those of the individual portions having a higher weight than a predetermined threshold are selected to be displayed through the social media in a hierarchy corresponding to a position in the spectrum of weights, while those of the individual portions having a lower weight than the predetermined threshold are selected to be withheld from display, and applies a deduplication operation to the individual portions of the social commentary to remove those of the individual portions selected to be withheld from display such that only original, first-instance interactions of respective ones of the individual portions are rendered to a user during a playback of the video content, wherein those of the individual portions determined to be repetitive greater than a predetermined number are used to assist in formulating weights of the individual portions and those of the individual portions similar with one another beyond a predetermined threshold are selected for the deduplication operation. 2. The system of claim 1 , wherein the processor applies, in conjunction with the deduplication operation, a common content filter to the social commentary. 3. The system of claim 1 , wherein the processor applies, in conjunction with the deduplication operation, an anti-spam filter to the social commentary. 4. The system of claim 1 , wherein the processor analyzes each of the individual portions of the social commentary for a level of the determined measured characteristic. 5. The system of claim 1 , wherein the processor determines the measured characteristic to indicate a level of relevance, a level of quality, or a level of popularity of the social commentary to the social media. 6. The system of claim 1 , wherein the processor initializes a user profile. 7. The system of claim 6 , wherein the processor, pursuant to initializing the user profile, records a declared user preference to assist in formulating the weights of the individual portions. 8. The system of claim 7 , wherein the processor determines whether a correlation is found between a calculated overall interest in the social media and a calculated user interest in the social media based on information in the user profile. 9. The system of claim 8 , wherein the processor, if the correlation is found, applies a regression operation to calculate a probability of interest in content of the social media. 10. The system of claim 1 , wherein the processor applies a cognitive interpretation operation to: the social commentary, an audio portion of the social media, or a video portion of the social media. 11. The system of claim 1 , wherein the processor analyzes biometric data obtained from a user to assist in formulating the weights of the individual portions. 12. A computer program product for managing social commentary as applicable to social media in a distributed computing environment, the computer program product comprising a non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising: an executable portion that assigns a spectrum of weights to individual portions of the social commentary as a function of a determined measured characteristic, the social commentary comprising interactive comments associated with video content shared on the social media, wherein those of the individual portions having a higher weight than a predetermined threshold are selected to be displayed through the social media in a hierarchy corresponding to a position in the spectrum of weights, while those of the individual portions having a lower weight than the predetermined threshold are selected to be withheld from display; and an executable portion that applies a deduplication operation to the individual portions of the social commentary to remove those of the individual portions selected to be withheld from display such that only original, first-instance interactions of respective ones of the individual portions are rendered to a user during a playback of the video content, wherein those of the individual portions determined to be repetitive greater than a predetermined number are used to assist in formulating weights of the individual portions and those of the individual portions similar with one another beyond a predetermined threshold are selected for the deduplication operation. 13. The computer program product of claim 12 , further including an executable portion that applies, in conjunction with the deduplication operation, a common content filter to the social commentary. 14. The computer program product of claim 12 , further including an executable portion that applies, in conjunction with the deduplication operation, an anti-spam filter to the social commentary. 15. The computer program product of claim 12 , further including an executable portion that analyzes each of the individual portions of the social commentary for a level of the determined measured characteristic. 16. The computer program product of claim 12 , further including an executable portion that determines the measured characteristic to indicate a level of relevance, a level of quality, or a level of popularity of the social commentary to the social media. 17. The computer program product of claim 12 , further including an executable portion that initializes a user profile, and records a declared user preference to assist in formulating the weights of the individual portions. 18. The computer program product of claim 17 , further including an executable portion that: determines whether a correlation is found between a calculated overall interest in the social media and a calculated user interest in the social media based on information in the user profile, and if the correlation is found, applies a regression operation to calculate a probability of interest in content of the social media. 19. The computer program product of claim 12 , further including an executable portion that applies a cognitive interpretation operation to the social commentary, an audio portion of the social media, or a video portion of the social media. 20. The computer program product of claim 12 , further including an executable portion that analyzes biometric data obtained from a user to assist in formulating the weights of the individual portions.
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