date:: [[16-10-2020]]
publisher:: ACM
place:: Virtual Event Canada
conference-name:: MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems
proceedings-title:: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings
isbn:: 978-1-4503-8135-2
doi:: 10.1145/3417990.3420202
title:: @Democratizing the development of recommender systems by means of low-code platforms
pages:: 1-9
item-type:: [[ConferencePaper]]
access-date:: 2023-05-17T09:27:46Z
original-title:: Democratizing the development of recommender systems by means of low-code platforms
language:: en
url:: https://dl.acm.org/doi/10.1145/3417990.3420202
authors:: [[Claudio Di Sipio]], [[Davide Di Ruscio]], [[Phuong T. Nguyen]]
library-catalog:: DOI.org (Crossref)
links:: [Local library](zotero://select/library/items/6XPRI6KG), [Web library](https://www.zotero.org/users/1039502/items/6XPRI6KG)

- [[Abstract]]
	- In recent years, recommender systems have gained an increasingly crucial role in software engineering. Such systems allow developers to exploit a plethora of reusable artifacts, including source code and documentation, which can support the development activities. However, recommender systems are complex tools that are difficult to personalize or fine-tune if developers want to improve them for increasing the relevance of the retrievable recommendations.
- [[Attachments]]
	- [Di Sipio et al. - 2020 - Democratizing the development of recommender syste.pdf](zotero://select/library/items/2KD47JMP) {{zotero-imported-file 2KD47JMP, "Di Sipio et al. - 2020 - Democratizing the development of recommender syste.pdf"}}