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:
Nov. 10, 2020

Filed:

Dec. 12, 2017
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Shai Erera, Gilon, IL;

Haggai Roitman, Yoknea'm Elit, IL;

Oren Sar-Shalom, Nes Ziona, IL;

Bar Weiner, Hof Ashqelon, IL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/2457 (2019.01); G06F 16/93 (2019.01); G06F 16/33 (2019.01); G06F 16/951 (2019.01); G06F 16/332 (2019.01); G06F 16/248 (2019.01); G06F 16/9535 (2019.01);
U.S. Cl.
CPC ...
G06F 16/24578 (2019.01); G06F 16/3334 (2019.01); G06F 16/3346 (2019.01); G06F 16/93 (2019.01); G06F 16/248 (2019.01); G06F 16/3322 (2019.01); G06F 16/951 (2019.01); G06F 16/9535 (2019.01);
Abstract

A computer implemented method for estimating quality of document retrieval comprising: retrieving from a corpus of documents stored on at least one storage a plurality of digital documents which comply with a document retrieval query according to a retrieval model; computing a plurality of retrieval scores each calculated for one of the plurality of digital documents using a relevance function scoring a relevance of one of the retrieved plurality of digital documents to the query; computing a calibrated weighted product model (WPM) estimator by calculating a combination of the plurality of retrieval scores weighted according to a plurality of retrieval features of the corpus and/or the query and/or a document, wherein the plurality of retrieval features are weighted according to a relative importance; and using the calibrated WPM estimator to score the plurality of digital documents' relevance to the query.


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