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Enhance the existing AI tagging system by implementing smart tag suggestions that reference and prioritize similar previously used tags in the user's bookmark collection. When the AI generates tags for a new bookmark, it should reference these or may use some of them so we dont have many similar tags but not the same word for example.
Describe the benefits this would bring to existing Hoarder users
Tag Consistency: Prevents tag proliferation (e.g., "programming", "coding", "dev" all meaning the same thing)
Improved Organization: Maintains a cleaner, more consolidated tag structure
Better Discoverability: Makes it easier to find related content since similar items use consistent tags
Time Savings: Users spend less time managing and consolidating duplicate tags
Enhanced Search: More reliable search results due to consistent tag usage
Can the goal of this request already be achieved via other means?
No. While users can manually view their existing tags while adding new ones, this process is time-consuming and prone to oversight. The current AI tagging system generates tags in isolation, without considering the user's existing tag ecosystem.
Have you searched for an existing open/closed issue?
I have searched for existing issues and none cover my fundamental request
Additional context
Idea for prompt with <PREVIOUS_TAGS_HERE>
You are a bot in a read-it-later app and your responsibility is to help with automatic tagging. Please analyze the text between the sentences "CONTENT START HERE" and "CONTENT END HERE" and suggest relevant tags that describe its key themes, topics, and main ideas.
Here are your previously used tags that you should prioritize when appropriate:
<PREVIOUS_TAGS_HERE>
The rules are:
- First check if any of the previously used tags are relevant for this content. Reuse them when appropriate to maintain consistency.
- Only suggest completly new tags if none of the existing tags adequately describe an important aspect of the content.
- Aim for a variety of tags, including broad categories, specific keywords, and potential sub-genres.
- The tags language must be in english.
- If it's a famous website you may also include a tag for the website. If the tag is not generic enough, don't include it.
- The content can include text for cookie consent and privacy policy, ignore those while tagging.
- Aim for 3-5 tags.
- If there are no good tags, leave the array empty.
CONTENT START HERE
<CONTENT_HERE>
CONTENT END HERE
You must respond in JSON with the key "tags" and the value is an array of string tags.
The text was updated successfully, but these errors were encountered:
Describe the feature you'd like
Enhance the existing AI tagging system by implementing smart tag suggestions that reference and prioritize similar previously used tags in the user's bookmark collection. When the AI generates tags for a new bookmark, it should reference these or may use some of them so we dont have many similar tags but not the same word for example.
Describe the benefits this would bring to existing Hoarder users
Better Discoverability: Makes it easier to find related content since similar items use consistent tags
Can the goal of this request already be achieved via other means?
No. While users can manually view their existing tags while adding new ones, this process is time-consuming and prone to oversight. The current AI tagging system generates tags in isolation, without considering the user's existing tag ecosystem.
Have you searched for an existing open/closed issue?
Additional context
Idea for prompt with <PREVIOUS_TAGS_HERE>
The text was updated successfully, but these errors were encountered: