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社区首页 >专栏 >中科院Kaggle全球文本匹配竞赛华人第1名团队-深度学习与特征工程

中科院Kaggle全球文本匹配竞赛华人第1名团队-深度学习与特征工程

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机器学习AI算法工程
发布2019-10-28 16:29:39
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发布2019-10-28 16:29:39
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文章被收录于专栏:机器学习AI算法工程

Where else but Quora can a physicist help a chef with a math problem and get cooking tips in return? Quora is a place to gain and share knowledge—about anything. It’s a platform to ask questions and connect with people who contribute unique insights and quality answers. This empowers people to learn from each other and to better understand the world.

Over 100 million people visit Quora every month, so it's no surprise that many people ask similarly worded questions. Multiple questions with the same intent can cause seekers to spend more time finding the best answer to their question, and make writers feel they need to answer multiple versions of the same question. Quora values canonical questions because they provide a better experience to active seekers and writers, and offer more value to both of these groups in the long term.

Currently, Quora uses a Random Forest model to identify duplicate questions. In this competition, Kagglers are challenged to tackle this natural language processing problem by applying advanced techniques to classify whether question pairs are duplicates or not. Doing so will make it easier to find high quality answers to questions resulting in an improved experience for Quora writers, seekers, and readers.

https://www.kaggle.com/c/quora-question-pairs

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关注微信公众号 datayx 然后回复 文本匹配 即可获取。

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原始发表:2018-11-28,如有侵权请联系 cloudcommunity@tencent.com 删除

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