EDUCATIONAL QUERYING PROCESSING BASED ON DETECTED COURSE ENROLLMENT AND COURSE-RELEVANT QUERY TIME

Patent №

US 10,061,813

Granted

2018-08-28

Filed 2014

Owner

PEARSON EDUCATION, INC.

Lab

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14465297

Techniques can construct a learner's educational context (e.g., course enrollments, subject-matter interests, and/or activity involvements) and tailor query processing using the educational context. For a given query, each concept in a set of concepts can be assigned a weight. The weight can depend on a query term in the query. For example, for a query including “North America”, a “geography” concept and a “history” concept can be determined to be related to the query, and weights can be influenced accordingly. Weights can also depend on a user's educational context (e.g., such that the “geography” weight is higher when a learner is enrolled in a geography course). A query time can also be analyzed in view of schedule data (e.g., indicating when particular topics are to be studied in a course). Weights can further depend on which concepts are recently, currently or will soon be of interest based on the schedule.

Machine learningNatural languageKnowledge representationPlanningAI hardwareG06F 16/24575G09B 7/00G06F 16/2457G06F 16/335G06F 16/9535G09B 7/02G06N 5/02

AI classification

Natural language1.00
Planning1.00
AI hardware1.00
Machine learning0.97
Knowledge representation0.61
Vision0.06
Speech0.00
Evolutionary computation0.00

Ownership

PEARSON EDUCATION, INC.

assignment · 338260555

Assignors

POCHA, DAYASANKAR SAMINATHAN, AMARATUNGA, THIMIRA DILINA KALINDU, BALASINGAM, SARANYAH

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

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