发明申请
US20100169158A1 SQUASHED MATRIX FACTORIZATION FOR MODELING INCOMPLETE DYADIC DATA 审中-公开
用于建模不完整的数据的SQUASHED MATRIX FACTORIZATION

  • 专利标题: SQUASHED MATRIX FACTORIZATION FOR MODELING INCOMPLETE DYADIC DATA
  • 专利标题(中): 用于建模不完整的数据的SQUASHED MATRIX FACTORIZATION
  • 申请号: US12346641
    申请日: 2008-12-30
  • 公开(公告)号: US20100169158A1
    公开(公告)日: 2010-07-01
  • 发明人: Deepak K. AGARWALSrujana Merugu
  • 申请人: Deepak K. AGARWALSrujana Merugu
  • 申请人地址: US CA Sunnyvale
  • 专利权人: YAHOO! INC.
  • 当前专利权人: YAHOO! INC.
  • 当前专利权人地址: US CA Sunnyvale
  • 主分类号: G06N5/02
  • IPC分类号: G06N5/02 G06Q10/00
SQUASHED MATRIX FACTORIZATION FOR MODELING INCOMPLETE DYADIC DATA
摘要:
A method of predicting a response relationship between elements of two sets includes: specifying a dyadic response matrix; specifying covariates that measure additional dyadic relationships; specifying a number of row clusters and a number of column clusters for clustering the rows and columns of the response matrix; specifying a rank for cluster factors that model average interactions between row clusters and column clusters by products of cluster factors; and determining prediction parameters for predicting responses between elements of the first set and the second set by improving a likelihood value that relates the prediction parameters to the response matrix, the covariates, the observation weights, the row clusters and the column clusters. Determining the prediction parameters includes: updating the prediction parameters for fixed assignments of row clusters and column clusters, and updating assignments for row clusters and column clusters for fixed prediction parameters.
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