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:
Jul. 26, 2022

Filed:

Apr. 06, 2020
Applicant:

B. G. Negev Technologies and Applications Ltd., AT Ben-gurion University, Beer Sheva, IL;

Inventors:

Rami Puzis, Ashdod, IL;

Aviad Elyashar, Beer Sheva, IL;

Maor Reuben, Haifa, IL;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/2453 (2019.01); G06F 16/953 (2019.01);
U.S. Cl.
CPC ...
G06F 16/2453 (2019.01); G06F 16/953 (2019.01);
Abstract

An automated interactive optimization method of short keyword queries for improving information retrieval from opaque (black box) search engines, according to which data including labeled claims from several fact-checking websites, is collected for creating dataset which is used for evaluation. The relevance of posts/query results retrieved from a search engine to a given input document, is estimated by calculating the mean relevance error (MRE), based on estimating the minimal distance between words comprising both the retrieved posts and the input document. A subset of claims is labeled for evaluation, by choosing a number of claims that gained the maximal and the minimal mean relevance error (MRE). The most appropriate keywords is found in order to retrieve the maximal number of relevant posts using an opaque search engine, by performing an interactive greedy search for the best word that should be added to the input query, for maximizing the corresponding posts retrieved by the search engine.


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