- 专利标题: Multi-attribute evaluation of narratives using event datasets
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申请号: US15850100申请日: 2017-12-21
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公开(公告)号: US11386369B2公开(公告)日: 2022-07-12
- 发明人: Debarun Bhattacharjya , Nicholas Mattei
- 申请人: International Business Machines Corporation
- 申请人地址: US NY Armonk
- 专利权人: International Business Machines Corporation
- 当前专利权人: International Business Machines Corporation
- 当前专利权人地址: US NY Armonk
- 代理机构: Ryan, Mason & Lewis, LLP
- 代理商 Stosch Sabo
- 主分类号: G06N5/02
- IPC分类号: G06N5/02 ; G06F16/33 ; G06N7/00 ; G06Q10/06 ; G06F16/335 ; G06N3/04
摘要:
Techniques for multi-attribute evaluation of narratives are provided. Inputs are obtained representing: (i) at least one historical dataset of events; (ii) a set of candidate narratives, wherein each candidate narrative is a potential future event sequence; and (iii) a query, wherein the query comprises one or more events of interest to a user. Attribute scores are computed for at least a subset of the candidate narratives based on at least a portion of the obtained input. One of the attribute scores comprises a plausibility attribute score representing a measure estimating the likelihood that a given candidate narrative will occur in the future. Another one of the attribute scores comprises a surprise attribute score representing a measure estimating how surprising a given candidate narrative will be to the user.
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