Unsupervised entity and intent identification for improved search query relevance
AssigneeMicrosoft Technology Licensing, LLC
InventorsGautam Prasad, Varun Appaswami, Bhanu Teja Chunduri
Life of this patent
Estimating the term…
Loading patent…
AssigneeMicrosoft Technology Licensing, LLC
InventorsGautam Prasad, Varun Appaswami, Bhanu Teja Chunduri
Estimating the term…
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.
A method performed by a search engine for generating a query suggestion, the method comprising:
A computing system that is configured to return a query suggestion to a user, the computing system comprising:
A computer-readable memory device comprising instructions that, when executed by a processor, cause the processor to perform acts comprising:
Dependencies are inferred from the claim text.