@inproceedings{66eb47dadc6045a8a4d4c45d53b9b6e0,
title = "Bumblebee friendly planting recommendations with citizen science data",
abstract = "Several citizen science projects engage with the public around pollinator species, typically requesting data (e.g. in the form of photorecords of different species tagged by place and date). While such projects help scientists collect data, these data are rarely fed back to the public in any meaningful manner. In this paper, we address this through a recommender system based on Matrix Factorization over a matrix of observed bumblebee-plant interactions derived from data submitted to a citizen science project BeeWatch. The system recommends pollinator-friendly plants for domestic gardens and takes into account both the fact that different bumblebee species exhibit differing preferences for flowers, and that plants flower at different times of the year. The goal is to attract a range of bumblebee species to a garden and to ensure that these species have sufficient food sources through the season.",
keywords = "Bumblebees, Matrix factorization, Planting advice, Pollinator friendly plants, Recommender systems",
author = "Wibowo, {Agung Toto} and Advaith Siddharthan and Helen Anderson and Annie Robinson and Nirwan Sharma and Helen Bostock and Andrew Salisbury and Richard Comont and {Van Der Wal}, Ren{\'e}",
note = "Planting for Pollinators was supported by the Natural Environment Research Council (grant number: Public Engagement Pilot 2016_094) and BeeWatch was supported by Research Council UK (grant reference EP/G066051/1).; 2017 International Workshop on Citizens for Recommender Systems, CitRec 2017 - In Conjunction with ACMRecSys 2017 ; Conference date: 31-08-2017 Through 31-08-2017",
year = "2017",
month = aug,
day = "31",
doi = "10.1145/3127325.3128330",
language = "English",
series = "ACM International Conference Proceedings Series",
publisher = "Association for Computing Machinery",
pages = "1--6",
editor = "Jie Yang and Zhu Sun and Alessandro Bozzon and Jie Zhang and Martha Larson",
booktitle = "Proceedings of International Workshop on Citizens for Recommender Systems, CitRec 2017 - In Conjunction with ACMRecSys 2017",
}