SciReC2021 – Scientific Recommendation Challenge

co-located at the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB)

Unicage is proud to announce that it will sponsor the 1st edition of SciReC – Scientific  Recommendations Challenge, a scientific community challenge and workshop dedicated to the development of software solutions using recommender systems for the Health and Chemistry  domains.  

SciReC was proposed by Márcia Barros, Francisco M. Couto and Matilde Pato from Lasige, Faculdade de Ciências da Universidade de Lisboa, together with Ángel González-Prieto from Universidad Autónoma de Madrid, alongside with Raúl Lara-Cabrera and Fernando Ortega Requena from Universidad  Politécnica de Madrid. With this initiative, this group of Iberian researchers has the major goal of  developing and spreading the usage of state-of-the-art recommender systems for the Health and Chemistry domains. In order to achieve this, they invite the participants to develop a solution using recommender systems to rank a dataset comprised by information retrieved from thousands of  articles related with the COVID-19 disease, namely relevant entities retrieved from the Disease Ontology and the Chemical Entities of Biological Interest ontology. With this challenge, they plan to  benchmark a dataset for recommender systems in the fields of Health and Chemistry, while at the same time contribute to the fight against the COVID-19 pandemic. 

Participants are also invited to submit a paper describing their solutions for the challenge and the best scoring systems will be presented at the SciReC workshop, which will take place at the 12th edition of  the ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB), a premier dissemination forum for interdisciplinary research linking several scientific subjects, including computer sciences, mathematics, biology, bioinformatics, health informatics, among others. This year, the ACM BCB will be held online between August 1st and 4th

Recommender systems have been successfully applied to several domains such as e-commerce  platforms and search engines. However, the usage of recommender systems in Health Sciences and  other scientific domains is scarce, mostly due to the lack of available datasets. Unicage recognizes the  importance of the research that is made in these fields, therefore, Unicage has decided to sponsor the  SciReC challenge.

“It is an honour to have the opportunity to contribute to this challenge and to support the  best scientific minds in the development of solutions in the area of recommender systems”, says Carlos Cruz, CEO of Unicage. 

For more on the Scientific Recommendation Challenge, visit

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