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Recommender systems for citizens: the CitRec'17 workshop manifesto
This manifesto summarises the outcomes of the 1st Workshop on Recommender Systems for Citizens (CitRec'17), held at the 11th ACM Conference on Recommender Systems, in August 2017 in Como, Italy. We discuss challenges and opportunities for the ...
Revisiting revisits in trajectory recommendation
Trajectory recommendation is the problem of recommending a sequence of places in a city for a tourist to visit. It is strongly desirable for the recommended sequence to avoid loops, as tourists typically would not wish to revisit the same location. ...
Users psychological profiles for leisure activity recommendation: user study
Leisure activities are essential in the individual's pursuit of well-being and higher satisfaction with life. In the last few years, the event-based social networks and event-promoting services on Face-book, Couchsurfing etc., have seen a boosting use. ...
Bumblebee friendly planting recommendations with citizen science data
- Agung Toto Wibowo,
- Advaith Siddharthan,
- Helen Anderson,
- Annie Robinson,
- Nirwan Sharma,
- Helen Bostock,
- Andrew Salisbury,
- Richard Comont,
- René van der Wal
Several citizen science projects engage with the public around pollinator species, typically requesting data (e.g. in the form of photo-records of different species tagged by place and date). While such projects help scientists collect data, these data ...
Personalized recommendations in e-participation: offline experiments for the 'Decide Madrid' platform
In e-participation platforms, citizens suggest, discuss and vote online for initiatives aimed to address a wide range of issues and problems in a city, such as economic development, public safety, budges, infrastructure, housing, environment, social ...
Chatbots as conversational recommender systems in urban contexts
In this paper, we outline the vision of chatbots that facilitate the interaction between citizens and policy-makers at the city scale. We report the results of a co-design session attended by more than 60 participants. We give an outlook of how some ...
Recommender systems for e-governance in smart cities: state of the art and research opportunities
E-governance can be considered as the core and most important challenge of smart cities initiatives. It refers to the use of information and communication technologies in the public sector with the aim of improving information and service delivery, ...
- Proceedings of the International Workshop on Recommender Systems for Citizens