发明授权
- 专利标题: Machine learning system and method to map keywords and records into an embedding space
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申请号: US16937223申请日: 2020-07-23
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公开(公告)号: US10902009B1公开(公告)日: 2021-01-26
- 发明人: Peter Ernest Lenz, Jr. , Yeming Shi , Patrick Joseph Mccarthy , Amelia Grieve White , Melinda Han Williams
- 申请人: Dstillery, Inc.
- 申请人地址: US NY New York
- 专利权人: Dstillery, Inc.
- 当前专利权人: Dstillery, Inc.
- 当前专利权人地址: US NY New York
- 代理机构: Cooley LLP
- 主分类号: G06F16/00
- IPC分类号: G06F16/00 ; G06F16/2457 ; G06F16/242 ; G06F40/274 ; G06F16/22
摘要:
In some embodiments, a method includes determining a position for a search query and a position for each audience record from multiple audience records in an embedding space. The method further includes receiving multiple device records, each associated with an audience record. The method further includes determining multiple keywords, each associated with an audience record and determining a position for each keyword in the embedding space. The method further includes calculating a first distance between the position of the search query in the embedding space and the position of each audience record in the embedding space. The method further includes calculating a second distance between the position of the search query in the embedding space and the position of each keyword in the embedding space. The method further includes ranking each audience record based on the first distance and the second distance.
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