Molecular Connections built a high-throughput Keyword Recommendation Service for IFIS, the not-for-profit food and health sciences publisher. Deep learning models — semantic similarity, contextual vectorisation, bi-directional transformers — analyse the Food Science and Technology Abstracts database and suggest keywords matched to an article's title and abstract.
Benefits & outcomes
Takes the guesswork out of picking thesaurus terms.
Better keyword coverage means better discoverability and SEO.
IFIS reported a 40% jump in website traffic.
Notes & quotes
"The system returns keyword data from the top 100 similar articles identified by an artificial intelligence algorithm."
"There was a 40 percent jump in traffic."
Publisher / company: Molecular Connections
Date of mention: 01/01/2025
Source: https://mcpublishing.co.in/case_studies/krs-ifs/