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Currently, each transcript contains metadata like tags and speakers, which give information about what the transcript covers and who the speaker is. We can use this information to provide suggestions to readers based on the transcript they are currently viewing.
To implement this feature, we can explore leveraging recommendation algorithms.
Moreover, extending this functionality to the Review Product can benefit reviewers by offering suggestions, thereby enhancing their workflow, productivity, and engagement.
The text was updated successfully, but these errors were encountered:
Currently, each transcript contains metadata like
tags
andspeakers
, which give information about what the transcript covers and who the speaker is. We can use this information to provide suggestions to readers based on the transcript they are currently viewing.To implement this feature, we can explore leveraging recommendation algorithms.
Moreover, extending this functionality to the Review Product can benefit reviewers by offering suggestions, thereby enhancing their workflow, productivity, and engagement.
The text was updated successfully, but these errors were encountered: