The Decision Support and Recommender Systems (DSRS) research group was founded in mid-2018 by researchers in the School of Computer Science, Electrical and Electronic Engineering, and Engineering Maths (SCEEM), University of Bristol.
Being led by Dr Iván Palomares Carrascosa, this young but highly enthusiastic group focuses on investigating data science, information fusion, decision analysis and artificial intelligence techniques can help supporting contemporary complex decision-making scenarios, involving humans, agents or groups of them. We are driven by developing cutting-edge solutions to nowadays societal problems involving challenging decision-making processes, through interdisciplinary, international and high-impact research and development activities.
Here are some examples of our research directions and ongoing projects:
- Large Group Decision Making and Consensus Building – Supporting collective decision-making scenarios requiring consensus among large and highly diverse groups of participants exhibiting conflicting opinions, attitudes, behaviour and social interactions with each other.
- Recommender Systems and Applications – Developing state-of-the-art personalisation approaches for recommending services, products or activities to both individuals and groups. Our target applications of interest include (i) personalisation for wellness and healthy living, (ii) tourism and leisure activity recommendation in smart cities, and (iii) reciprocal recommender systems for online dating and socialising-oriented personalisation.
- Intelligent Aggregation Techniques – Investigating how to intelligently incorporate and combine multiple sources of preferential, social and/or contextual data to (i) make highly informed group decisions and (ii) improve the performance of modern recommender system approaches.
- Human Decision Support with AI in the Loop – Supporting decision makers, stakeholders and analysts in making human-led data-driven decisions in complex scenarios, e.g. financial analysis, e-government, security analytics, management sciences, etc.
Research Group Logo: