NLP-based content recommender
US8700604B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 16, 2008 |
| Grant date | Apr 15, 2014 |
| Priority date | — |
| Expiry date | Jan 28, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/367
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, techniques, and systems for using natural language processing to recommend related content to an associated text segment or document. Example embodiments provide a NLP-based content recommender (“NCR”) which uses NLP-based search techniques, potentially in conjunction with context or other related information, to locate and provide content related to entities that are recognized in the associated material. NCRs may be embedded as widgets, for example on Web pages to assist users in their perusal and search for information, provided by means of browser plug-ins or other application plug-ins, provided in libraries or in standalone environments, or otherwise integrated into other code, programs, or devices. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.