Ranking is rule-based, not ML-based. Meilisearch applies a deterministic cascade of ranking rules in order: typo distance, geographic distance (if you're using geosearch), number of words matched, exact match quality, word proximity, attribute ranking, and finally a custom ranking expression if you define one. There is no BM25, no TF-IDF as a primary signal, no learning-to-rank pipeline. For most application search use cases this produces better results than you'd expect; for cases where relevance modeling matters deeply (web-scale search, document retrieval with complex semantics), it's a limitation.
Граждан РФ попросили ориентироваться только на официальные сообщения местных властей и не распространять непроверенную информацию и слухи. Сроки открытия воздушного пространства страны пока неизвестны, отметили в ведомстве.，推荐阅读WhatsApp Web 網頁版登入获取更多信息
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Release Engineering。wps对此有专业解读
Shipped & Standardized #