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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of International Workshop on Citizens for Recommender Systems, CitRec 2017 - In Conjunction with ACMRecSys 2017
PublisherAssociation for Computing Machinery (ACM)
ISBN (Electronic)9781450353700
DOIs
Publication statusPrint publication - 31 Aug 2017
Externally publishedYes
Event2017 International Workshop on Citizens for Recommender Systems, CitRec 2017 - In Conjunction with ACMRecSys 2017 - Como, Italy
Duration: 31 Aug 2017 → …

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2017 International Workshop on Citizens for Recommender Systems, CitRec 2017 - In Conjunction with ACMRecSys 2017
Country/TerritoryItaly
CityComo
Period31/08/17 → …

Bibliographical note


Publisher Copyright:
© 2017 Association for Computing Machinery.

Keywords

  • Bumblebees
  • Matrix factorization
  • Planting advice
  • Pollinator friendly plants
  • Recommender systems

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