Invention Grant
- Patent Title: Regularized latent semantic indexing for topic modeling
- Patent Title (中): 主题建模的正则化潜在语义索引
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Application No.: US13169808Application Date: 2011-06-27
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Publication No.: US08533195B2Publication Date: 2013-09-10
- Inventor: Jun Xu , Hang Li , Nicholas Craswell
- Applicant: Jun Xu , Hang Li , Nicholas Craswell
- Applicant Address: US WA Redmond
- Assignee: Microsoft Corporation
- Current Assignee: Microsoft Corporation
- Current Assignee Address: US WA Redmond
- Agency: Lee & Hayes, PLLC
- Main IPC: G06F7/00
- IPC: G06F7/00 ; G06F17/30 ; G06F17/16 ; G06F17/11 ; G06F11/34

Abstract:
Electronic documents are retrieved from a database and/or from a network of servers. The documents are topic modeled in accordance with a Regularized Latent Semantic Indexing approach. The Regularized Latent Semantic Indexing approach may allow an equation involving an approximation of a term-document matrix to be solved in parallel by multiple calculating units. The equation may include terms that are regularized via either l1 norm and/or via l2 norm. The Regularized Latent Semantic Indexing approach may be applied to a set, or a fixed number, of documents such that the set of documents is topic modeled. Alternatively, the Regularized Latent Semantic Indexing approach may be applied to a variable number of documents such that, over time, the variable of number of documents is topic modeled.
Public/Granted literature
- US20120330958A1 Regularized Latent Semantic Indexing for Topic Modeling Public/Granted day:2012-12-27
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