A Low-Code Tool Supporting the Development of Recommender Systems
Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Phuong T. Nguyen · 2021
The design of recommender systems (RSs) to support software development encompasses the fulfillment of different steps, including data preprocessing, choice of the most appropriate algorithms, item delivery. Though RSs can alleviate the curse of information overload, existing approaches resemble black-box systems, in which the end-user is not expected to fine-tune or personalize the overall process.