Comments (3)
Hello @guimachiavelli,
For now, the variants are attributeScale
and wordScale
, but I will change them to byAttribute
and byWord
because of the ambiguity of the suffix Scale
, and its redundancy with the suffix Precision
of the setting name.
attributeScale effectively disables the proximity ranking rule
not really. It reduces the precision of the proximity-based features like the proximity ranking rule or the phrase search, but they are not deactivated. The real effect is a trade-off that can be summaries as:
"""
do you prefer:
- (wordScale) A higher precision when computing the distance between the matching query words (how many words separate the matching words?), but a slower indexing time
- (attributeScale) Or a lower precision when computing the distance between the matching query words (Are the matching words in the same attributes?), but a faster indexing time
"""
from documentation.
Hello @guimachiavelli,
I've created the related specifications, which should be clearer than my prior explanations. I put the link below:
meilisearch/specifications#261
See you!
from documentation.
Hi @ManyTheFishโthanks for clarifying this, it's a lot clearer to me now. I'll fix the issue description.
from documentation.
Related Issues (20)
- v1.8: Telemetry changes HOT 2
- v1.8: Roadmap
- v1.8: Docker version bump
- v1.8: Update Postman HOT 1
- v1.8: Code sample tracker HOT 2
- v1.8: Generic REST embedder
- v1.8: Ollama embedder support
- v1.8: Limit number of concurrent search requests
- v1.8: Search cut-off
- v1.8: `sortFacetValuesBy` affects `/facet-search` HOT 1
- v1.8: Negative keyword search
- Specify attributes are case sensitive HOT 2
- Explain hybrid search algorithm HOT 1
- The postman collection download link returns 404 HOT 1
- Search analytics now support multi-search HOT 1
- Clarify cancel task API reference
- Algolia migration guide improvement
- Add links to competitors comparison HOT 1
- attributesToSearchOn not showing in right sidebar
- Reindexing reference
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from documentation.