Design and Development of a Recommender System for Job Recommendations
Reference persons MAURIZIO MORISIO
External reference persons Giuseppe Rizzo, Istituto Superiore Mario Boella
Research Groups SOFTWARE ENGINEERING GROUP - SOFTENG
Thesis type APPLIED, EXPERIMENTAL
Description The undergraduate will design and develop a deep learning recommender system that selects those users who are (a) interested in getting notified about a given job position, and (b) appropriate candidates for the given job.
The innovation being researched will design a solution that balances both user interests and requirements for a given job as well as dealing with the cold-start situation (i.e. not enough personal data to perform the recommendation task).
The thesis will be structured as follows:
- problem formulation: objective function, data structures and resources to be used;
- algorithm design (covering all the value chain from the collection of the required data to the generation of the recommendation) and approach implementation according to software engineering best practices;
- in-lab testing verification with real data and measurement of the goodness of the approach.
The implementation will process real data from a well-know business- and employment-oriented social networking service. The goodness of the solution will be tested in an offline setting scenario with quantitative and qualitative analyses.
Deadline 17/10/2018 PROPONI LA TUA CANDIDATURA