- Prediction candidate presentation
- Language media analysis
- Knowledge organization
Text search/product recommendations using scalable graph data analysis
Discover knowledge required in data business from large volumes of data, using minimal computational resources.
- Processes large volumes of data using graph data analysis technologies that operate with limited computational resources, to discover knowledge required in data business.
- Extracts, from large volumes of text, text with meaning close to search words specified by the user.
- Presents product category information that is effective in product recommendations, from large volumes of purchase data.
Applications
- Text search systems (extraction of similar literature)
- Item recommendations (similar product categorization)
Benchmarks, strengths, and track record
- In the case of conventional graph data analysis, substantial computational resources are required to process large volumes of data, but with this method, processing can be achieved with minimum computational resources.
- Currently being verified using in-house document search systems.
Inquiries
Contact the Toshiba Corporate Research & Development Center
Please include the title “Toshiba AI Technology Catalog: Text search/product recommendations using scalable graph data analysis” or the URL in the inquiry text.
Please note that because this technology is currently the subject of R&D activities, immediate responses to inquiries may not be possible.
