Recsperts - Recommender Systems Experts podcast

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Science Tech Math Marcel Kurovski Data Science Artificial Intelligence Information Retrieval Recommendations Machine Learning Personal Search

内容由Marcel Kurovski提供。所有播客内容（包括剧集、图形和播客描述）均由 Marcel Kurovski 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。

Recsperts - Recommender Systems Experts

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内容由Marcel Kurovski提供。所有播客内容（包括剧集、图形和播客描述）均由 Marcel Kurovski 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。

Recommender Systems are the most challenging, powerful and ubiquitous area of machine learning and artificial intelligence. This podcast hosts the experts in recommender systems research and application. From understanding what users really want to driving large-scale content discovery - from delivering personalized online experiences to catering to multi-stakeholder goals. Guests from industry and academia share how they tackle these and many more challenges. With Recsperts coming from universities all around the globe or from various industries like streaming, ecommerce, news, or social media, this podcast provides depth and insights. We go far beyond your 101 on RecSys and the shallowness of another matrix factorization based rating prediction blogpost! The motto is: be relevant or become irrelevant! Expect a brand-new interview each month and follow Recsperts on your favorite podcast player.

… continue reading

22集单集

#Science #Tech #Math #Marcel Kurovski #Data Science #Artificial Intelligence #Information Retrieval #Recommendations #Machine Learning #Personal #Search

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Recsperts - Recommender Systems Experts

updated 19d ago

分享

系列首页•Feed

内容由Marcel Kurovski提供。所有播客内容（包括剧集、图形和播客描述）均由 Marcel Kurovski 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。

Recommender Systems are the most challenging, powerful and ubiquitous area of machine learning and artificial intelligence. This podcast hosts the experts in recommender systems research and application. From understanding what users really want to driving large-scale content discovery - from delivering personalized online experiences to catering to multi-stakeholder goals. Guests from industry and academia share how they tackle these and many more challenges. With Recsperts coming from universities all around the globe or from various industries like streaming, ecommerce, news, or social media, this podcast provides depth and insights. We go far beyond your 101 on RecSys and the shallowness of another matrix factorization based rating prediction blogpost! The motto is: be relevant or become irrelevant! Expect a brand-new interview each month and follow Recsperts on your favorite podcast player.

… continue reading

22集单集

#Science #Tech #Math #Marcel Kurovski #Data Science #Artificial Intelligence #Information Retrieval #Recommendations #Machine Learning #Personal #Search

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