Green knowledge recommendation method based on characteristic similarity and user demands, electronic device and computer readable storage medium thereof
US12326882B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 30, 2024 |
| Grant date | Jun 10, 2025 |
| Priority date | — |
| Expiry date | Nov 30, 2044 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02D10/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention discloses a green knowledge recommendation method based on characteristic similarity and user demands, an electronic device and a computer readable storage medium thereof. The method includes: obtaining a current-search text e and a historical-search-texts set Eu both from a user; constructing a topics dictionary and a subtopics dictionary according to a green knowledge base, and decomposing the e and the Eu on the basis of semantic decomposition; picking words in a text-vector set and a valid-text set that about two dictionaries; finding the corresponding knowledge according to user satisfaction. The invention enables users to quickly find the required content through templating, thus avoiding users' meaningless search, improving search efficiency, and reducing the loss of useless time.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.