对可用响应进行排名
使用集合让一切井井有条
根据您的偏好保存内容并对其进行分类。
许多信号都会帮助 Google 助理对可用响应进行排名,其中包括以下主要因素:
- Google 助理对准确理解了指令的确定程度
- 响应是否确实可用于特定请求解读。
- 以前的用户对类似请求的特定响应是否满意。
- 响应的创建时间,以帮助您获取各种新的高质量响应。
- 响应方式在你所用设备上的效果如何。例如,针对具有屏幕的设备进行了优化的响应可能在音响设备上的排名较低。在内置 Google 助理的合作伙伴设备上,如果您要求使用特定于该设备的内容(例如更改音量或播放电影),设备制造商可能会根据合作伙伴确定的最佳用户体验处理部分或全部响应。
- 你最近提出的其他请求。例如,如果你说“Ok Google,启动五分钟的计时器”,然后又说“Ok Google,停止”,Google 助理可能就会根据你之前的请求来了解指令。
- 你目前在设备上运行时,例如在向 Google 助理寻求帮助时,你打开了哪个应用,或者 Google 助理已经提供了哪些帮助。例如,如果你正在听音乐,但说“Ok Google,跳过”,Google 助理会跳到下一首歌。同样,如果您在使用 Google 助理预订餐厅的过程中遇到了问题,它会优先完成预订,而非其他可能的响应。
- 在少数情况下,我们可能会为了提升用户体验而手动挑选一些高品质的响应,使其获得较高的排名。
例如,为了帮助用户及时获取 COVID-19 相关信息并减少可能危及公共安全的虚假信息,我们可能会从世界卫生组织和政府卫生机构等权威来源精选信息。
这些主要因素的权重分配方式取决于您与 Google 助理的互动方式以及您的个人偏好,如下所述。
如未另行说明,那么本页面中的内容已根据知识共享署名 4.0 许可获得了许可,并且代码示例已根据 Apache 2.0 许可获得了许可。有关详情,请参阅 Google 开发者网站政策。Java 是 Oracle 和/或其关联公司的注册商标。
最后更新时间 (UTC):2025-07-25。
[null,null,["最后更新时间 (UTC):2025-07-25。"],[[["\u003cp\u003eGoogle Assistant prioritizes responses based on understanding your request, response availability, user satisfaction, and response recency.\u003c/p\u003e\n"],["\u003cp\u003eDevice type, recent interactions, current activity, and occasional manual curation also influence response ranking.\u003c/p\u003e\n"],["\u003cp\u003eResponse ranking considers factors like how well Assistant understands your request and how satisfied previous users were with similar responses.\u003c/p\u003e\n"],["\u003cp\u003eAssistant uses context from previous interactions and current device activity to better understand your requests and provide relevant responses.\u003c/p\u003e\n"],["\u003cp\u003eIn some cases, high-quality responses are manually curated to ensure accuracy and user safety, especially for critical topics like public health.\u003c/p\u003e\n"]]],[],null,["# Ranking the available responses\n\nMany signals help Assistant rank the available responses, including the\nfollowing main factors:\n\n- How sure Assistant is that it understood what you asked.\n- Whether a response is actually available for a particular interpretation of your request.\n- How satisfied previous users were with a particular response to similar requests.\n- How recently the response was created, to help you get a variety of fresh, high-quality responses.\n- How well a response works on the device that you are using. For example, responses that are optimized for devices with screens are likely to be ranked lower on speakers. On a partner device where Assistant is built-in, if you ask for something specific to that device, such as changing the volume or playing a movie, the device manufacturer may handle some or all of the response, according to what the partner decides is the best user experience.\n- What else you asked for recently. For example, if you say, \"Hey Google, start a five minute timer,\" and then shortly after say, \"Hey Google, stop,\" Assistant may use your earlier request to understand what you mean.\n- What you are currently doing on your device, such as which app you have open when you ask Assistant for help, or what Assistant is already helping you with. For example, if you are listening to music and you say \"Hey Google, skip,\" Assistant jumps to the next song. Similarly, if you are part of the way through making a restaurant reservation using Assistant, it prioritizes completing the reservation above other possible responses.\n- In limited circumstances, some high-quality responses may be manually curated to rank higher, for the purpose of improving the user experience. For example, to help users get timely information about COVID-19 and mitigate misinformation that could risk public safety, we may curate information from authoritative sources like the World Health Organization and governmental health authorities.\n\nThese main factors for ranking are weighted differently based on how you're\nengaging Assistant and your personal preferences, as explained below."]]