{"id":419919,"date":"2017-08-14T15:57:22","date_gmt":"2017-08-14T22:57:22","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=419919"},"modified":"2018-10-16T20:09:54","modified_gmt":"2018-10-17T03:09:54","slug":"deep-sequential-models-task-satisfaction-prediction","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/deep-sequential-models-task-satisfaction-prediction\/","title":{"rendered":"Deep Sequential Models for Task Satisfaction Prediction"},"content":{"rendered":"

CIKM is a premier forum for research on topics at the confluence of information retrieval, data management, and knowledge management. This year, CIKM highlights technologies and insights that materialize the \u201cSmart Cities, Smart Nations\u201d vision shared by many urban areas and their countries, while we bring together international and Singapore technology providers and seekers to explore technology and business collaboration opportunities through open innovation.<\/p>\n","protected":false},"excerpt":{"rendered":"

CIKM is a premier forum for research on topics at the confluence of information retrieval, data management, and knowledge management. This year, CIKM highlights technologies and insights that materialize the \u201cSmart Cities, Smart Nations\u201d vision shared by many urban areas and their countries, while we bring together international and Singapore technology providers and seekers to 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