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
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申请号: US12346641申请日: 2008-12-30
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公开(公告)号: US20100169158A1公开(公告)日: 2010-07-01
- 发明人: Deepak K. AGARWAL , Srujana Merugu
- 申请人: Deepak K. AGARWAL , Srujana 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
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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