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opened 2026-04-25 00:16:30 +02:00 by adam
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Reference: starred/audiobookshelf#3651
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📋 Pull Request Information
Original PR: https://github.com/advplyr/audiobookshelf/pull/2099
Author: @mikiher
Created: 9/15/2023
Status: ✅ Merged
Merged: 9/22/2023
Merged by: @advplyr
Base:
master← Head:Fuzzy-Matching📝 Commits (4)
ac746f1Fuzzy Matching V167bbe21Make quick-match more conservative81a9b8dMerge branch 'advplyr:master' into Fuzzy-Matching61c4860Add jsdocs to BookFinder search functions📊 Changes
2 files changed (+131 additions, -28 deletions)
View changed files
📝
server/finders/BookFinder.js(+130 -27)📝
server/scanner/Scanner.js(+1 -1)📄 Description
Problem:
Audiobookshelf requires a pretty strict folder structure. However, users sometimes have many books in existing folders that adhere to different (or no) standards, and they might be reluctant to fix their directory structure. But then book titles and authors are incorrectly read, and consequently, matching usually return no/wrong results, which requires users to manually fix the title and author before matching.
The option to prefer audio metadata over folder names somewhat improves the situation, but does not fix it, and is also not enabled by default.
Proposal:
As a first step, I'd like to suggest a heuristic fuzzy matching, that kicks in if the initial title and author search returns no results (a rudimentary version of this already exists in the code, potentially sending one additional search request with a "clean" version of the title and author - it is subsumed in the new proposal):
This proposal is implemented here.
I've evaluated it on 50 books that have audible.com metadata from my unmodified audiobook torrents directory, which has no standard folder structure. The existing matching finds the correct result only for 24% of books. Fuzzy matching V1 finds the correct result for 96% of books, and finds the correct result @1 for 92%. I have not calculated the average number of additional search requests, but it looks like it is usually between 0-3.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.