- 专利标题： Deep learning approach to mitigate the cold-start problem in textual items recommendations
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申请号： US16699545申请日： 2019-11-29
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公开(公告)号： US11210358B2公开(公告)日： 2021-12-28
- 发明人: Elik Sror , Oren Sar Shalom , Rami Cohen
- 申请人： Intuit Inc.
- 申请人地址： US CA Mountain View
- 专利权人： Intuit Inc.
- 当前专利权人： Intuit Inc.
- 当前专利权人地址： US CA Mountain View
- 代理机构： Ferguson Braswell Fraser Kubasta PC
- 主分类号： G06F16/957
- IPC分类号： G06F16/957 ; G06F17/16 ; G06N3/08 ; G06F12/06 ; G06F12/02 ; G06F12/0895
摘要：
A method for mitigating cold starts in recommendations includes receiving a request that identifies a requested page and identifying a content vector of the requested page. The content vector is generated based on providing text of the requested page to a neural network text encoder. The method further includes selecting, based on a rank engine and the content vector, a link to a cold start page that does not satisfy a threshold level of interaction data. The rank engine ranks the selected link above a second link to a warm page that does satisfy the threshold level of the interaction data. The method further includes presenting the requested page with the selected link.
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