Rating system improvements (stat-based, relative rating system)
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Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
Research direction
No files, tests, or entry points are named. First separate the stat-collection proposal from the relative-rating proposal, then identify the existing data-storage and image-sorting entry points for the chosen approach. Done should include a defined data model, collection or rating flow, and a clear way to use the data for sorting.
Written by the indexing model from the issue text.
Description
Two different ideas
- Stat collection. What images does the user skip during slideshows? Which ones do they look at until the slideshow advances itself? Which tags does the user most often search for? Which images has the user manually searched for and opened?
- Relative rating system. Select an image, click "rate this image relative to other images". Hydrus viewer then goes into split-screen. On the left (or topleft corner), the selected image. The rest of the viewer produces random images (perhaps, optionally images with related tags, or visual similarity) and the user rates each randomly produced image as better, worse, or equal to the selected image.
For either of these approaches, this data can be used to sort images.
- Dominant language
- Python
- Stars
- 3.2k
- Forks
- 207
- PR merge metrics
- No merged PRs in 30d
Contributor guide
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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