团体专利名称：DETECTING ATTRIBUTE CHANGE FROM TRIP DATA
发明人：Alvin AuYoung,Livia Zarnescu Yanez,Kyle Elliot DeHovitz,Ted Douglas
五年级除法
Herringshaw,Joshua Lodge Ross,Vikram
Saxena,Chandan Prakash Sheth,Shivendra
Pratap Singh,Sheng Yang
申请号：US15993313
住家保姆合同申请日：20180530
公开号：US20190163833A1
公开日：月句念什么
代数公式>演讲比赛策划书>积分入户广州
20190530
专利内容由知识产权出版社提供专利附图：
古诗游园不值
摘要：Systems and methods for detecting and verifying clod places (e.g., claims no longer in business) from trip data are provided. A networked system access trip data associated with the POI. The networked system process the trip data to generate at least two time buckets bad on timestamps from the trip data associated with the POI, and calculates trip counts associated with the POI for each of the time buckets. Using a machine learning algorithm and bad on the at least two time buckets, the networked system determines that the trip counts show a decline over time that indicates that the POI is likely clod. In respon to the determining, the networked system updates a databa to indicate the POI is clod.
申请人：Uber Technologies, Inc.
地址：San Francisco CA US
国籍：US
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