METHOD AND SYSTEM OF SCORING DOCUMENTS BASED ON ATTRIBUTES OBTAINED FROM A DIGITAL DOCUMENT BY EYE-TRACKING DATA ANALYSIS

Patent №

US 9,727,645

Granted

2017-08-08

Filed 2014

Owner

BUCKYBALL MOBILE INC.

Lab

AI components

4

ml · nlp · vision · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14164753

In one exemplary embodiment, a set of attributes derived from an element of a first digital document is obtained. The element is identified from eye-tracking data of a user viewing the digital document. A search query of a database comprising at least one query term is received. A set of documents in the database is identified according to the search query. An attribute score is determined for each document. The set of documents are sorted according to the attribute score. Optionally, a commonality between the query term and at least one member of the set of attributes ma be determined. The search query may be generated by the user. The database may be a hypermedia database.

Machine learningNatural languageVisionPlanningG06F 16/951G06F 16/24578G06F 16/436G06F 16/903G06F 16/9035G06F 16/93

AI classification

Natural language1.00
Vision1.00
Planning0.99
Machine learning0.96
AI hardware0.15
Knowledge representation0.05
Evolutionary computation0.01
Speech0.00

Ownership

BUCKYBALL MOBILE INC.

assignment · 428490907

Assignors

KARMARKAR, AMIT, PETERS, RICHARD R

On an employer assignment, the assignors are typically the inventors.

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