推荐系统与过滤气泡
Recommendation Systems and Filter Bubbles
推荐系统如何运作：YouTube、Netflix 和购物网站会记录你点击的内容并找出规律；了解过滤气泡；分辨有益的建议与操纵行为之间的区别。
How recommendation systems work: YouTube, Netflix, and shop websites track what you click and find patterns; filter bubbles; the difference between helpful suggestions and manipulation
学习证据 / Evidence
- 解释YouTube或Netflix如何决定接下来推荐什么
- 描述什么是“过滤气泡”（只看到与自己已喜欢的内容相似的东西）
- 说出推荐系统的一个好处和一个风险
- Explain how YouTube or Netflix decides what to suggest next
- Describe what a 'filter bubble' is (only seeing things similar to what you already like)
- Give one benefit and one risk of recommendation systems
评估问题 / Assessment
{{name}}是否明白为什么YouTube会不断推荐与自己看过的视频类似的视频？{{name}}能解释推荐系统是如何运作的吗？
Does {{name}} understand why YouTube keeps suggesting similar videos to ones they've watched, and could they explain how the recommendation system works?