Success case
An intelligent and
personalised search engine
The challenge
One of the largest independent biotechnology companies in the world has different profiles (technical, commercial, regulatory, etc.) that require information on the company’s areas of interest in different aspects: media coverage, scientific publications, etc.
Objectives
The aim is to improve search effectiveness through an intuitive tool that searches a variety of data sources in order to provide a personalised, profile-based response.
Services performed
- Natural Language Processing
- Fuzzy search
- Neo4j
- Embeddings
- TF-IDF
- Django
Results provided
The developed tool searches 13 data sources (Twitter, YouTube, Google News, PubMed, Clinical Trials, FDA…), customising the results according to the user pre-configured selection.