The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 28, 2012

Filed:

Sep. 15, 2010
Applicants:

Chi-hoon Lee, Los Altos, CA (US);

Eric Crestan, Union City, CA (US);

Jiefeng Shen, Sammamish, WA (US);

Richard Allan Kasperski, Creston, CA;

Su-lin Wu, San Carlos, CA (US);

Omer Emre Velipasaoglu, San Francisco, CA (US);

Benoit Dumoulin, Palo Alto, CA (US);

Inventors:

Chi-Hoon Lee, Los Altos, CA (US);

Eric Crestan, Union City, CA (US);

Jiefeng Shen, Sammamish, WA (US);

Richard Allan Kasperski, Creston, CA;

Su-Lin Wu, San Carlos, CA (US);

Omer Emre Velipasaoglu, San Francisco, CA (US);

Benoit Dumoulin, Palo Alto, CA (US);

Assignee:

Yahoo! Inc., Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/30 (2006.01);
U.S. Cl.
CPC ...
Abstract

One embodiment selects from a set of query-suggestion pairs a first query and a subset of query-suggestion pairs that each has the first query as its query; computes a Log Likelihood Ratio (LLR) value for each query-suggestion pair from the subset of query-suggestion pairs; ranks the subset of query-suggestion pairs according to their respective LLR values; removes from the subset of query-suggestion pairs all query-suggestion pairs whose LLR values are below a predetermined LLR threshold; computes a Pointwise Mutual Information (PMI) value for each remaining query suggestion pair from the subset of query-suggestion pairs; removes from the subset of query-suggestion pairs all query-suggestion pairs whose PMI values are below a predetermine PMI threshold; and constructs a ranked set of suggestions for the first query, wherein the ranked set of suggestions comprises one or more suggestions of the remaining query-suggestion pairs from the subset of query-suggestion pairs.


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