This research initiative aims to address the growing concerns surrounding recommender systems by developing more nuanced approaches that consider domain-specific contexts and user preferences. Beyond traditional accuracy metrics, the focus is on incorporating measures of novelty, diversity, and serendipity in recommendations. A multi-level user model will be introduced, encompassing individual, group, and network levels, utilizing multi-faceted feature sets to capture implicit preferences. Clustering techniques and social relations will further enhance user understanding. The goal is to create a more comprehensive user model facilitating systematic exploration of beyond-accuracy measures across various domains. Additionally, the research will analyze the dynamics of these measures over time and evaluate the long-term impacts of bias. This endeavor aligns with the principles of Digital Humanism, emphasizing fairness and broader societal concerns in algorithmic systems.
Company Details
- Employees
- 3
- Founded
- -
- Address
- Favoritenstraße 9-11, Tu Wien,cd Labor Recsys,austria
- Industry
- Research Services
- NAICS
-
Scientific Research and Development ServicesResearch and Development in the Physical, Engineering, and Life SciencesResearch and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Website
- https://recsys-lab.at/
- HQ
- Vienna, Vienna
Christian Doppler Lab For Recommender Systems Questions
Christian Doppler Lab For Recommender Systems's website is https://recsys-lab.at/
Christian Doppler Lab For Recommender Systems's LinkedIn profile is https://at.linkedin.com/company/cdlab-recsys
Christian Doppler Lab For Recommender Systems has
3 employees.
View email and phone details for 3
employees at Christian Doppler Lab For Recommender Systems.
Christian Doppler Lab For Recommender Systems's industry is
Research Services
Christian Doppler Lab For Recommender Systems's top competitors are
Avon Defence Systems Pvt. Ltd.,
Seventh Sense,
Nexetic,
Fusilli Project,
Datasenses,
Design Storz,
Statistics Austria,
Christian Doppler Forschungsgesellschaft Cdg,
Austrian Research Institute For Artificial Intelligence,
Doppler Electronics Private Limited.
Christian Doppler Lab For Recommender Systems's categories are Research Services
Christian Doppler Lab For Recommender Systems's founding year is 2022
