{"id":1455449,"date":"2019-03-20T02:00:00","date_gmt":"2019-03-20T00:00:00","guid":{"rendered":"http:\/\/nhub.news\/?p=1455449"},"modified":"2019-03-20T06:08:05","modified_gmt":"2019-03-20T04:08:05","slug":"would-you-have-clicked-on-what-we-would-have-recommended","status":"publish","type":"post","link":"http:\/\/nhub.news\/fr\/2019\/03\/would-you-have-clicked-on-what-we-would-have-recommended\/","title":{"rendered":"Would You Have Clicked on What We Would Have Recommended?"},"content":{"rendered":"

Peter B. Golbus describes recent work on the offline estimation of recommender system A\/B tests using counterfactual reasoning techniques.<\/b>
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