recsyslabs - privacy preserving personalisation for publishers
- UCD wins at AI Ireland AI Awards
- UCDCS Athena SWAN Award
- Jan Łukasiewicz
- International Men’s Day
- 1st Year BSc Halloween Networking Event
- Ada Lovelace Energy Hackathon
- 5G for digital healthcare in COVID-19
- UCD CS Faculty Elected Vice Chair of ACM SIGCSE
- CS Big Data project for strategies to combat childhood obesity recognised for its innovation potential
- Welcome to CS News 2022
- UCD CS to host the 27th ACM Innovation and Technology in Computer Science Education
- UCD Computer Science Success in SFI Frontiers to the Future
- Why study Computer Science at UCD?
- CAMEO project receives funding from the Disruptive Technology Innovation Fund
- Congratulations to the Class of 2021 - MSc Forensic Computing & Cybercrime Investigation
- Computer Science Colleagues’ success in Interdisciplinary Research Scheme
- ML Labs Annual Newsletter
- Seagate CORTX Challenge
- UCD Academic awarded the 2021 Beijing Great Wall Friendship Award
- Recent funding successes and industry collaborations
- EU H2020 SPATIAL project
- recsyslabs - privacy preserving personalisation for publishers
- Congratulations to our recent PhD graduates
- UCD In Conversation: Cybercrime causes, trends, and prevention
- CS researchers partner in three successful Disruptive Technologies Innovation Fund projects
- Welcome to CS News, the new UCD CS magazine
- Congratulations to our recent PhD and research MSc graduates
- New book showcases digital forensic research by UCD law enforcement graduates
- Training the next generation of Computer Scientists
- Industry Partnership Event to showcase new research on using machine learning
- Poems that Solve Puzzles: The History and Science of Algorithms
- A welcome to incoming first year Computer Science students
- Zoom for Thought with Prof. Muthoni Masinde
- iPROCEEDS-2: Starting of the long-distance master programme on forensic computing and cybercrime investigation
- Short Term Contract Positions Opportunities
- Most Influential Paper Award at the 28th International Requirements Engineering Conference
- From the School of Medicine in partnership with the School of Computer Science
- 2nd Workshop on Implementing Machine Ethics on 30th June
- CeADAR receives Enterprise Ireland Funding for a new Supercomputer
- Assistant Professor Brett Becker awarded Research Fellowship
- UCD CS Masters Student wins prestigious Intel Student Scholarship
- Navigating COVID19 data with a little help from a tame data scientist
- PhD Positions
- UCD Computer Science Project Nominated for Two Education Awards
- Vacancies - Lecturer/Assistant Professor in Computer Science (x2)
- Ad Astra Fellows - Applications to Computer Science
- CALL OPEN - PhD Scholarships 2020 in Machine Learning
- Commissioner of An Garda Síochána visits the School of Computer Science for Conferring
- Computing Education Group SIGCSEire to launch in UCD on December 11th
- UCD Computer Science wins over €34m in Research Grants in 2018-19
- UCDCS Best Short Paper award 13th ACM Conference on Recommender Systems (RecSys)
- CS Sparks Programme
- CS Sparks
recsyslabs - privacy preserving personalisation for publishers
recsyslabs is a start-up company using artificial intelligence (AI) to make it easy for publishers to deliver tailored newsletters based on readers’ interests, whilst also preserving their privacy and making it easy for them to see why specific content was recommended.
The recsyslabs technology uses AI to automatically segment readers, based on their interests, and generates one newsletter for each segment by selecting the most relevant content for each subscriber base.
The founders of recsyslabs are Dr Ernesto Diaz-Aviles, Dr Claudia Orellana-Rodriguez and Dr Igor Brigadir, and are affiliated to UCD School of Computer Science. recsyslabs received funding from the Enterprise Ireland Commercialization Fund and spun-off in July 2021.
recsyslabs was one of five emerging startup participants in the annual Nova UCD venture launch accelerator programme in November 2020. The VentureLaunch Accelerator aims to equip UCD researchers with the knowledge, skills and understanding to create a commercial venture with a viable business plan, out of their research.
The recsyslabs team presented their research at RecSys '21: Fifteenth ACM Conference on Recommender Systems in September 2021. Read the text in ACM Digital Library here
Ernesto from recyslabs explains the background to their technology and how the solution they have developed (NU:BRIEF) helps publishers to tailor and target content better.
“People around the world are becoming uneasy with how much personal data they are asked to give away. They are becoming concerned about how the data they give to web sites and apps is shared with, sold to, or used by 3rd parties, and the lack of transparency about how this works.
Regulators are enforcing stronger data protection and privacy laws such as General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) to protect the public from over-intrusive data collection. Oceans of personal data are vulnerable to loss and misuse, with headline data breaches and hacks heightening privacy concerns.
The use of third-party cookie (tracking) technology is being phased out. However, for many years, cookies have been an important ingredient in the business model for adtech companies, e-commerce businesses and advertising-funded publishers. However intrusive ads and click-bait are not a viable business model any longer. Neo-media publishers, thinking more as a tech company than the old-media counterparts, are extremely focused on engaging with their audience in a respectful long lasting relationship, which leads to more sustainable reader-supported and membership business models.
recsyslabs is initially focused on the needs of publishers who want to renew and improve their relationship with their readers, regain their trust and loyalty and cut their reliance on intrusive tracking. Responding to privacy concerns and declining ad revenues, they want to build alternative revenue streams around a closer relationship with readers, and subscriptions and memberships.
Readers want relevant content without the feeling that their privacy is being compromised. Writers want their words to reach a large and interested audience.
recsyslabs has built an AI product for publishers called NU:BRIEF that personalizes content and delivers delightful recommendations based on user interests without the need for intrusive and excessive reliance on personal data.
Importantly, it does not impose a big technical burden on publishers to deploy. It does not rely on them gathering, managing and holding securely large pools of personal data, in compliance with data protection law.
Stakeholders (users, customers, readers, advertisers, regulators, the public) can see and understand how the system works and how it came to its decisions, which not only reduces bias and bugs, but also builds trust.
It balances privacy with personalization, giving power and control back to the reader, whilst also delivering the timely, relevant and useful content they want.”