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每日口說挑戰愛用音樂串流平台的你,是否想過推薦播放清單是怎麼來的?了解 Spotify 背後的演算法吧!(How Spotify’s AI-Driven Algorithm Works | The Tech Behind | WSJ)

主持人 : Susan
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How does my app know what music I like and what new songs to recommend...?

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挑戰紀錄

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今日挑戰句子

影片不是英文?
愛用音樂串流平台的你,是否想過推薦播放清單是怎麼來的?了解 Spotify 背後的演算法吧!(How Spotify’s AI-Driven Algorithm Works | The Tech Behind | WSJ)
But relying so much on artificial intelligence has also drawn criticism from some industry experts worried about algorithmic bias.
但這麼大程度地仰賴人工智慧也引起了業界專家的批評,他們擔心會發生演算法偏差。
句子選自此影片:愛用音樂串流平台的你,是否想過推薦播放清單是怎麼來的?了解 Spotify 背後的演算法吧!(How Spotify’s AI-Driven Algorithm Works | The Tech Behind | WSJ)

學習重點

1. draw吸引,引起

draw

[drɔ](v.)吸引,引起

今日已有 0 人參加每日口說挑戰

Susan3 年前

Hi, everyone, this is Susan; welcome to today’s Pronunciation Challenge. Do you like listening to music? What kind of websites or apps do you use? Whatever you use, there is generally a certain kind of algorithm behind it that allows the service to put together the perfect playlist for you. The video uses Spotify as an example to give us a glimpse into how that works. Let's first take a look at today's sentence and its pronunciation tips.

Sentence
But relying so much on artificial intelligence has also drawn criticism from some industry experts worried about algorithmic bias.

Pronunciation Tips
1. artificial (the pronunciation of the vowels, t, and c)
2. criticism (the pronunciation of c and sm)
3. algorithmic (the pronunciation of the vowels and th and word stress)
4. bias (the pronunciation of ia)

Vocabulary
1. draw (v) 吸引,引起 KK [drɔ] IPA /drɑː/
to attract attention or interest
Eg. The most recent scandal involving that celebrity is drawing a lot of public interest.
與那位藝人相關的最新緋聞正引起許多民眾興趣。

I find that when using music apps, the recommendation isn’t always perfect. But generally speaking, it’s accurate enough for me to get music that I’ll almost certainly love. If you’re curious to find out how that works, this is just the video for you. But don't forget to record the sentence first, and I'll see you in the next episode!

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upu2 年前

偶葛..瑞絲米可

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RC2 年前

But relying so much on artificial intelligence has also drawn criticism from some industry experts worried about algorithmic bias.

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Sindi Zane2 年前

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Kate Shao2 年前

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張喬欽2 年前

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靈氣胖白蛇2 年前

But relying so much on artificial intelligence has also drawn criticism from some industry experts worried about algorithmic bias.

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chung Kyle2 年前

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Emeline Lu2 年前

But relying so much on artificial intelligence has also drawn criticism from some industry experts worried about algorithmic bias.
但這麼大程度地仰賴人工智慧也引起了業界專家的批評,他們擔心會發生演算法偏差。

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Hsiaoping Wu2 年前

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