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Weighted similarity estimation in data streams with applications to collaborative filtering and viral marketing

摘要

A method estimates similarities in data streams. A data source receives input vectors from users. A sketch feature generator converts the input vectors into sketch feature vectors corresponding to the users, wherein each sketch feature vector represents data and meta-information from each user received in a most recent sample period. A similarity comparator compares each sketch feature vector against other sketch feature vectors to calculate similarity probabilities between the users. A processor running a decision loop determines a prediction result for at least one user based on the similarity probabilities.

著录项

  • 公开/公告号US10713579B2

    专利类型

  • 公开/公告日2020.07.14

    原文格式PDF

  • 申请/专利权人

    申请/专利号US14795977

  • 申请日2015.07.10

  • 分类号

  • 国家 US

  • 入库时间 2022-08-21 10:58:49

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