Detect Duplicates and Merge Similar Ideas Across Languages
Detects similar or duplicate ideas across languages, suggests clusters, lets you approve merges, and notifies original submitters.
How Do You Manage Duplicate Ideas Without Losing Credit?
When your team submits hundreds of ideas, duplicates and similar concepts pile up. You lose clarity. Contributors feel ignored when their input disappears. Your review process slows down.
AI Idea Linking detects similar ideas through embedding and stem word analysis. The system works across languages, so teams submitting in Arabic, English, or any other language will see connections between related concepts.
You get a cluster view at the collection or workspace level. The system suggests which ideas link together. You review the suggestions and approve the ones that make sense. When you merge ideas, you create one top-level concept and link the original submissions to it.
What Happens When You Merge Ideas
Original submitters receive a notification when their idea merges into a larger concept. They see how their input contributed. The original idea gets archived, but the connection remains visible. This keeps contributors informed and engaged.
Structure and Scoring
Linked ideas connect to the merged output. They do not absorb each other's criteria. The system treats the merged idea as the parent. Each linked submission maintains its original submitter and timestamp.
Ideanote gives you control over how you group ideas while the AI handles detection. Your team gets a cleaner workspace, and contributors stay in the loop.
How does AI Idea Linking detect similar ideas across different languages?
Ideanote uses embedding and stem word analysis to compare ideas. This approach looks at the meaning and core structure of submissions, not just exact word matches. The system detects similarities even when people submit ideas in different languages.
You see suggested links in a cluster view at both the collection and workspace level. This shows which ideas relate to each other before you decide to merge them.
What happens when I approve a merge between similar ideas?
When you approve a merge, the linked ideas combine into one primary idea. The original submissions remain connected to the merged output idea, so you keep a record of all contributions.
Everyone who submitted an original idea receives a notification. They see that their submission contributed to a larger concept, even if the original entry gets archived.
Does the system suggest similar ideas while someone is submitting?
The AI Idea Linking feature works after ideas are submitted. It analyzes existing submissions and shows you clusters of similar content in the review interface.
You control when and how to merge ideas through the cluster view, where you approve suggested connections between submissions.
How do linked ideas work in terms of scoring and evaluation criteria?
When you merge ideas, they combine into one primary submission that moves forward in your process. The merged idea keeps track of all original submissions that fed into it.
You evaluate the merged idea as a single entity going forward. The connection to original submissions stays visible for reference and contributor recognition.
What if ideas belong to multiple themes or trends?
The cluster view shows you all detected similarities across your workspace or collection. You choose which connections to approve based on how you want to organize your ideas.
If an idea relates to multiple themes, you decide how to handle it. You control the merging process and determine which submissions combine and which stay separate.
How do I manage duplicates and clean up my idea collection?
The system identifies similar submissions and presents them in a cluster view. You review these suggestions and approve the connections that make sense for your process.
When you merge ideas, the original submitters get notified about the consolidation. This keeps your collection organized while making sure contributors know their input fed into the final concept.
Smart and Easy Idea Management
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