Reading suggestions on an individual transcript page
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
Research direction
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.
Written by the indexing model from the issue text.
Description
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.
- Dominant language
- SCSS
- Stars
- 6
- Forks
- 12
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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