UNSUPERVISED ENTITY AND INTENT IDENTIFICATION FOR IMPROVED SEARCH QUERY RELEVANCE

Patent №

US 11,068,554

Granted

2021-07-20

Filed 2019

Owner

MICROSOFT TECHNOLOGY LICENSING, LLC

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16389825

Technologies are described here for, among other things, improving search query relevance by executing a query on a search engine, retrieving search-page-data generated from executing the query, the search-page-data including document-titles and universal resource locators (URLs), each document-title being a title of a document associated with a URL, determining relevant-entity-words in the query from an entity relevance score for matching search terms in the query, Domain-URLs, and Domain-Titles, determining relevant-intent-words in the query from an intent-word relevance score based on a number of times a search term appears in the query and the URLs relative to other search terms in the query and the URLs, comparing each of the determined relevant-entity-words and each of the determined relevant-intent-words with a plurality of stored past-user queries, retrieving the plurality of stored past-user search queries including the relevant-entity-words and the relevant-intent-words, and transmitting a set of query suggestions to a client device.

Machine learningNatural languageKnowledge representationPlanningAI hardwareG06F 16/9532G06F 16/9535G06F 16/24578G06F 16/90328G06F 16/9038

AI classification

Natural language1.00
Planning1.00
Machine learning1.00
Knowledge representation0.87
AI hardware0.51
Vision0.05
Evolutionary computation0.04
Speech0.01

Ownership

MICROSOFT TECHNOLOGY LICENSING, LLC

assignment · 489960672

Assignors

PRASAD, GAUTAM, CHUNDURI, BHANU TEJA, APPASWAMI, VARUN

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

© 2026 NYSGPT2525 LLC