Mendeley's Data and Perspectives on Data Challenges
•
4 likes•1,355 views
Presentation given at the RecSysChallenge workshop (http://2012.recsyschallenge.com/) at Recommender Systems 2012 (http://recsys.acm.org/2012/).
Recommended
Recommended
More Related Content
Viewers also liked
Viewers also liked (13)
Similar to Mendeley's Data and Perspectives on Data Challenges
Similar to Mendeley's Data and Perspectives on Data Challenges (20)
Recently uploaded
Recently uploaded (20)
Mendeley's Data and Perspectives on Data Challenges
- 1. Mendeley's Data and Perspectives on Data Challenges Kris Jack, PhD Chief Data Scientist https://twitter.com/_krisjack
- 2. Overview ➔ What's Mendeley? ➔ Why Run Challenges? ➔ Mendeley's Challenges ➔ Conclusions
- 4. ➔ Mendeley is a platform that connects researchers, research data and apps Mendeley Open API ➔ How are we building our community?
- 5. Mendeley provides tools to help users... ...organise their research ➔ Reference management ➔ Cite-as-you- write ➔ Full-text article search ➔ Digitalised annotations
- 6. Mendeley provides tools to help users... ...collaborate with one another ...organise their research ➔ Professional research groups ➔ Social network ➔ Annotation sharing
- 7. Mendeley provides tools to help users... ...collaborate with one another ...organise ...discover new their research research ➔ Personalised article recommendations ➔ Related research ➔ Research contact suggestions
- 8. Our community from a data perspective Social network Personal libraries (~2M users) (~300M articles) Research groups Research catalogue (~175K groups) (~50M unique articles)
- 10. Why Run Challenges? ➔ An important part of our mission is to make science more open
- 11. Why Run Challenges? ➔ An important part of our mission is to make science more open “All the time we are very conscious of the huge challenges that human society has now – curing cancer, understanding the brain for Alzheimer‘s [...].
- 12. Why Run Challenges? ➔ An important part of our mission is to make science more open “All the time we are very conscious of the huge challenges that human society has now – curing cancer, understanding the brain for Alzheimer‘s [...]. But a lot of the state of knowledge of the human race is sitting in the scientists’ computers, and is currently not shared […] We need to get it unlocked so we can tackle those huge problems.“
- 13. Why Run Challenges? ➔ An important part of our mission is to make science more open “All the time we are very conscious of the huge challenges that human society has now – curing cancer, understanding the brain for Alzheimer‘s [...]. But a lot of the state of knowledge of the human race is sitting in the ➔ We run challenges that scientists’ computers, and is aim to open up science currently not shared […] We need to get it unlocked so we can tackle ➔ Your skills in information those huge problems.“ sciences are valuable to us
- 15. PloS/Mendeley's Binary Battle Challenge: Build an application with our data, make science more open. Results: More details at http://dev.mendeley.com/api-binary-battle/
- 16. ScienceRec Challenge 2012 Challenge: Build off-line system for scientific recommendations with our API and DataTEL data set Results: Will discuss today How to improve for the future? 50K users, with at least 20 articles each More details at http://2012.recsyschallenge.com/tracks/sciencerec/
- 17. Conclusions
- 18. Conclusions ➔ Mendeley makes tools that help researchers to: ➔ organise their research ➔ collaborate with one another ➔ discover new research ➔ We are crowdsourcing a wealth of research data ➔ We're opening it up to the world ➔ And inviting you to participate
- 19. We're Hiring! ➔ Data Scientist ➔ apply recommender technologies to Mendeley's data ➔ work on improving the quality of Mendeley's research catalogue ➔ starting in first quarter of 2013 ➔ 6 month secondment in KNOW Center, TU Graz, Austria as part of the EC FP7 TEAM project (http://team-project.tugraz.at/) ➔ http://www.mendeley.com/careers/
- 20. www.mendeley.com
- 21. A Challenge for the Future? Challenge: Investigate how well algorithms perform in real-world settings Motivation: Industry repeatedly finds that aggressive A/B testing is required because offline improvements do not necessarily translate to online improvements Problem: Academia tends not to have access to large online communities Research groups (~175K groups) Solution: Industry runs A/B test with academic algorithms and reports results What about privacy? Use publicly available data Anonymise and aggregate results reported