nextcloud / nextcloud/fulltextsearch
Ignore words with little information content
Nobody has claimed this yet.
- Dominant language
- PHP
- Stars
- 234
- Forks
- 64
- Avg merge
- 6h 18m
- Merged PRs (30d)
- 10
Description
To decrease the cpu load (and improve scoring) when searching, words with little content should be ignored unless an exact search is done. One way to do that is to crate a list of particles. To make that independent on the language it could default to ignore the n lowest ranked words, meaning those words with the highest frequency. I guess n=10 to 20 would be appropriate. Of course the list and the rank could be combined.
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.
Research direction
The issue names no files, tests, or entry points. Start by locating the search token-ranking and exact-search handling, then determine how frequency-based filtering could be configured without affecting exact searches; done should include a defined ranking or particle-list behavior and tests for both search modes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- php
- Domain
- search
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100