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:
Oct. 13, 2015

Filed:

Feb. 05, 2013
Applicants:

Anand Lakshminath, Fremont, CA (US);

Richard D Henderson, San Jose, CA (US);

Davide Libenzi, San Jose, CA (US);

Guanglei Song, San Jose, CA (US);

Prasad Sriram, Manchester, CT (US);

Nicholas Whyte, San Jose, CA (US);

Raffi Tutundjian, San Francisco, CA (US);

Inventors:

Anand Lakshminath, Fremont, CA (US);

Richard D Henderson, San Jose, CA (US);

Davide Libenzi, San Jose, CA (US);

Guanglei Song, San Jose, CA (US);

Prasad Sriram, Manchester, CT (US);

Nicholas Whyte, San Jose, CA (US);

Raffi Tutundjian, San Francisco, CA (US);

Assignee:

PayPal, Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/30 (2006.01); G06F 21/62 (2013.01);
U.S. Cl.
CPC ...
G06F 17/30011 (2013.01); G06F 17/30035 (2013.01); G06F 21/6227 (2013.01);
Abstract

A method and a system to configure a query language using an operator dictionary are provided. Dictionary information that corresponds to a first user is generated. The dictionary information includes a first list of compatible query operators and a description of compatible data types that correspond to each operator in the first list of query operators. A search query to search for document information in a database is received from a first user. The database includes an inverted index. Terms of the search query from the first user are determined to be in accordance with the dictionary information that corresponds to the first user. The search query is applied to the inverted index in the database to identify the document information. The document information is sent to the first user.


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