Method for obtaining search suggestions from fuzzy score matching and population frequencies
US9201931B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 2, 2014 |
| Grant date | Dec 1, 2015 |
| Priority date | — |
| Expiry date | Dec 2, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for obtaining and providing search suggestions using entity co-occurrence is disclosed. The method may be employed in any search system that may include at least one search engine, one or more databases including entity co-occurrence knowledge and trends co-occurrence knowledge. The method may extract and disambiguate entities from search queries by using an entity and trends co-occurrence knowledge in one or more database. Subsequently, a list of search suggestion may be provided by each database, then by comparing the score of each search suggestion, a new list of suggestion may be built based on the individual and/or overall score of each search suggestion. Based on the user's selection of the suggestions, the trends co-occurrence knowledgebase can be updated, providing a means of on-the-fly learning, which improves the search relevancy and accuracy.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.