IP Library Granted Patent US 10,740,421
Granted Patent B2
US 10,740,421 · App. 15/917,080 · Granted Aug 11, 2020

System and method for enhanced search

Inventors: Newton Howard (Providence, RI); Mustak Ibn Ayub (Oxford, GB)
Assignee: Newton Howard
G06F16/9535G06F16/24575G06F16/24578
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Quick Facts
Patent No.
US 10,740,421
App. No.
15/917,080
Granted
Aug 11, 2020
Kind
B2
Abstract

Embodiments of the present systems and methods may provide a fundamentally different approach to process the ‘search key words’ from users. For example, the process may progress through a series of steps that will understand ‘WHY’ a user is looking for the information instead of just ‘WHAT’ the user is searching. This will give the present techniques a very different way to look for the information and generate the search outputs. For example, a method may provide search results to a user of a computing device, the method may comprise receiving at least one search term from the user via the computing device, collecting information relating to the user other than the at least one search term, and providing search results to the user via the computing device based on the search term and on the collected information relating to the user.

Claims (507)

1. A computer-implemented method for providing search results to a user of a computing device, the method comprising:

receiving at least one search term from the user via the computing device;

collecting information relating to the user other than the at least one search term;

determining information relating to why the user is conducting the search using a maximum attainable set of cues (MASC) derived from the collected information relating to the user;

providing search results to the user via the computing device based on the search term, on the collected MASC information relating to the user, and on attributes of content of the search results that on match the MASC information, wherein the search results comprise a plurality of webpages that are ranked based on a score of attributes of content (CAS) of each webpage according to R 1→∞ =∫ CAS(P 1 →P ∞ ), wherein R 1→∞ is the ranks of all pages (P 1 →P ∞ ) that contain search results information for the user, wherein the pages (P 1 →P ∞ ) are scored according to:

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and E . . . T are qualities of contents according to:

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.

2. A system for providing search results to a user of a computing device, the system comprising a processor, memory accessible by the processor, and computer program instructions stored in the memory and executable by the processor to perform:

receiving at least one search term from the user via the computing device;

collecting information relating to the user other than the at least one search term;

determining information relating to why the user is conducting the search using a maximum attainable set of cues (MASC) derived from the collected information relating to the user;

providing search results to the user via the computing device based on the search term, on the collected MASC information relating to the user, and on attributes of content of the search results that on match the MASC information, wherein the search results comprise a plurality of webpages that are ranked based on a score of attributes of content (CAS) of each webpage according to R 1→∞ =∫ CAS(P 1 →P ∞ ), wherein R 1→∞ is the ranks of all pages (P 1 →P ∞ ) that contain search results information for the user, wherein the pages (P 1 →P ∞ ) are scored according to:

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.

3. A computer program product for providing search results to a user of a computing device, the computer program product comprising a non-transitory computer readable storage having program instructions embodied therewith, the program instructions executable by a computer, to cause the computer to perform a method comprising:

receiving at least one search term from the user via the computing device;

collecting information relating to the user other than the at least one search term;

determining information relating to why the user is conducting the search using a maximum attainable set of cues (MASC) derived from the collected information relating to the user;

providing search results to the user via the computing device based on the search term, on the collected MASC information relating to the user, and on attributes of content of the search results that on match the MASC information, wherein the search results comprise a plurality of webpages that are ranked based on a score of attributes of content (CAS) of each webpage according to R 1→∞ =∫ CAS(P 1 →P ∞ ), wherein R 1→∞ is the ranks of all pages (P 1 →P ∞ ) that contain search results information for the user, wherein the pages (P 1 →P ∞ ) are scored according to:

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and E . . . T are qualities of contents according to:

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.

4. The method of claim 1 , wherein the information relating to the user comprises at least one of the user's location, the user's mental/physical status, the user's occupation, the user's passions, the user's hobbies, the user's academic background, the user's ethnicity.

5. The method of claim 1 , wherein the information relating to the user is collected from at least one of the computing device of the user, from social media systems, from public or private databases, from a browsing history of the user, from email messages of the user, and from text messages of the user.

6. The method of claim 1 , further comprising:

updating the search result webpages and the ranking of the search result webpages when attributes of the user determined from the collected information relating to the user change.

7. The method of claim 1 , further comprising:

updating the search result webpages and the ranking of the search result web pages based on user interaction with the search results.

8. The system of claim 2 , wherein the information relating to the user comprises at least one of the user's location, the user's mental/physical status, the user's occupation, the user's passions, the user's hobbies, the user's academic background, the user's ethnicity.

9. The system of claim 2 , wherein the information relating to the user is collected from at least one of the computing device of the user, from social media systems, from public or private databases, from a browsing history of the user, from email messages of the user, and from text messages of the user.

10. The system of claim 2 , further comprising:

updating the search result webpages and the ranking of the search result webpages when attributes of the user determined from the collected information relating to the user change.

11. The system of claim 2 , further comprising:

updating the search result web pages and the ranking of the search result web pages based on user interaction with the search results.

12. The computer program product of claim 3 , wherein the information relating to the user comprises at least one of the user's location, the user's mental/physical status, the user's occupation, the user's passions, the user's hobbies, the user's academic background, the user's ethnicity.

13. The computer program product of claim 3 , wherein the information relating to the user is collected from at least one of the computing device of the user, from social media systems, from public or private databases, from a browsing history of the user, from email messages of the user, and from text messages of the user.

14. The method of claim 3 , further comprising:

updating the search result webpages and the ranking of the search result webpages when attributes of the user determined from the collected information relating to the user change.

15. The method of claim 3 , further comprising:

updating the search result webpages and the ranking of the search result web pages based on user interaction with the search results.

Assignments (4)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 26, 2026
From: HOWARD, NEWTON
To: GENESIS INTELLIGENCE, LLC
Reel/Frame 074196/0136 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 26, 2026
From: AYUB, MUSTAK IBN
To: GENESIS INTELLIGENCE, LLC
Reel/Frame 074196/0335 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 16, 2026
From: AYUB, MUSTAK IBN
To: GENESIS INTELLIGENCE, LLC
Reel/Frame 073792/0899 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 28, 2025
From: HOWARD, NEWTON
To: GENESIS INTELLIGENCE, LLC
Reel/Frame 072702/0249 →
Continuity (2)
Provisional Application 62469171 · Mar 9, 2017
Related Publication 20180260486A1 · Sep 13, 2018