Reading suggestions on an individual transcript page

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.

Start by locating the individual transcript page and examining how its tags and speakers metadata are exposed. Define the recommendation approach and whether the Review Product is in scope. Done means readers receive relevant suggestions based on transcript metadata, with the intended behavior agreed for both surfaces.

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