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cover of episode The Secret Algorithms That Control Your Love Life

The Secret Algorithms That Control Your Love Life

2023/1/25
logo of podcast Land of the Giants

Land of the Giants

AI Deep Dive AI Chapters Transcript
People
A
Amarnath Tambrai
B
Benjamin Berman的朋友
B
Bumble公司
C
Cathy O'Neill
F
Fan Yin Zhang
J
Jeremy
领导EAA飞行熟练度中心,推动飞行员培训和安全提升。
J
Jonathan Badin
S
Sam Yagen
S
Sarah Sodoroff
T
Tim McGoogan
T
Tinder公司
节目主持人
Topics
Benjamin Berman的朋友:交友软件算法导致约会体验糟糕,匹配结果不理想。 节目主持人:交友软件算法不透明,用户对其缺乏了解,完全依赖于算法的匹配结果。 Jonathan Badin:Tinder曾经根据用户的受欢迎程度(右滑次数)进行排名匹配,这是一种基于ELO评分的算法。 Tinder公司:Tinder目前的算法考虑用户的活跃度、个人资料、滑动历史和点赞次数,仍然存在一定的局限性。 Bumble公司:Bumble的算法基于用户的历史数据进行匹配推荐,但具体细节不明确。 Tim McGoogan:Hinge的算法部分基于Gale-Shapley算法,但具体细节保密。 Amarnath Tambrai:Match.com的算法最初基于用户自填的资料进行匹配,后来转向基于用户行为。 Sam Yagen:早期交友网站试图说服用户,他们单身是因为不知道自己想要什么,算法能提供答案。 Cathy O'Neill:交友软件故意模糊算法运作方式,以增强用户信任感;算法是基于预测模型,根据历史数据预测未来匹配结果,但算法本身并不智能,无法判断用户是否匹配。 Sarah Sodoroff:尝试了'来者不拒'和配合算法的策略,但匹配结果仍然不理想,对算法的有效性表示怀疑。 Jeremy:发现过于真实的个人资料反而会降低匹配成功率,使用模糊和通用的个人资料信息可以提高匹配数量,但匹配质量并未提高。 Fan Yin Zhang:通过改进算法,可以提高交友软件的匹配率;算法会控制匹配速度,避免用户被过多的选择淹没;算法设计中存在平台利益与用户利益的冲突;改进算法,使其更个性化,避免基于群体行为的刻板印象导致错失匹配机会。

Deep Dive

Chapters
The episode explores the mystery behind dating app algorithms, revealing how they determine matches and why they remain largely undisclosed to users.

Shownotes Transcript

Dating app execs don’t like to explain how their matchmaking algorithms work– they’ll claim it’s too hard to explain, or that they just can’t talk about it, Fight Club style. But critics say that if daters really knew how basic the algorithms are, they might not put so much blind faith into them. In this episode, we dive into just how these algorithms work and speak with daters trying to hack the code that controls their love lives.

  • Hosted by Sangeeta Singh Kurtz (@sangeetaskurtz)) and Lakshmi Rengarajan (@Shmi_So_Far))

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