Showing posts with label recommendations. Show all posts
Showing posts with label recommendations. Show all posts
Friday, May 7, 2021

How can medical residency candidates be evaluated more reliably?

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  Standardized tests as measures of physician aptitude are falling into disrepute and disuse.  Consequently the medical profession needs to ...
Tuesday, September 22, 2020

Filtering 'inappropriate' content is still a challenge for AI--human monitoring of YouTube

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The Financial Times has the story: YouTube reverts to human moderators in fight against misinformation--Video platform relied on machines af...
Friday, May 1, 2020

Yelping about restaurant health violations, by Dai and Luca

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Online reviews, like Yelp, can play an effective role in disseminating information about restaurant hygiene scores... Digitizing Disclosu...
Wednesday, April 15, 2020

Coronavirus information, mis-information, conspiracy theories, web search, and social media

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The coronavirus / Covid-19 pandemic is constantly generating new information, and misinformation.  How to separate them? A number of soci...
Wednesday, March 4, 2020

Can YouTube's recommender engine tone down conspiracy theories?

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The NY Times has the story: Can YouTube Quiet Its Conspiracy Theorists? A new study examines YouTube’s efforts to limit the spread of co...
Monday, January 20, 2020

Recommender systems behaving badly: YouTube and Instagram

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Why are readers drawn to sensationalist stories?  Why do content providers produce them?  It likely has something to do with the recommende...