Use case
Web portal for job advertisements
Implemented algorithms
Semantic
Algorithms for analysis and clustering session search activities to understand how users represent a concept
Clustering
Algorithm for content-based clustering of ads on the website to identify which ads are perceived as useful by the user
Matching
Recommendation algorithm with reference to the search made by the user to enhance supply-demand matching
Data
The starting data are user searches and ads clicked on the online platform
Implemented interfaces
- Dynamic graphical interface for user data exploration
- Dynamic graphical user interface for testing the new search engine algorithm