RELEVANCE MODEL FOR SESSION SEARCH

Patent №

US 10,956,409

Granted

2021-03-23

Filed 2017

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15591413

A session search relevance model identifies a user's dynamic information need based on a feedback model and a session relevance model. The feedback model is based on query changes in the session search and user interest in particular documents presented throughout the session search. The relevance model modifies a user's current query to retrieve documents most relevant to a user's information need.

Machine learningNatural languageKnowledge representationPlanningAI hardwareG06F 16/2425G06F 16/24578G06F 16/248G06F 16/3349G06F 16/94G06F 16/9535

AI classification

Natural language1.00
Knowledge representation1.00
Planning1.00
Machine learning1.00
AI hardware1.00
Speech0.48
Evolutionary computation0.06
Vision0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 423220781

Assignors

ROITMAN, HAGGAI, COHEN, DORON, LEVINE, NIR

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

From the same owner

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