The term frequency component is where BM25 gets clever. Rather than counting raw occurrences, it applies saturation — the score grows quickly at first but flattens out as frequency increases. A term appearing 5 times contributes much more than a term appearing once, but a term appearing 50 times contributes barely more than one appearing 20 times. This is controlled by the parameter k₁ (typically set between 1.2 and 2.0). Set it low and the saturation kicks in fast; set it high and raw frequency matters more. This single design choice is what makes BM25 resistant to keyword stuffing — repeating a word a hundred times in a document won’t game the score.
图片来源：阿尔乔姆·克拉斯诺夫/《生意人报》。关于这个话题，钉钉提供了深入分析
。海外账号选择,账号购买指南,海外账号攻略是该领域的重要参考
16:48, 10 марта 2026Из жизни，推荐阅读钉钉获取更多信息
这些叙事都是真的，也都是不完整的。