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Kris Jack

  • BSc Hons, PhD
  • Chief Data Scientist
  • Mendeley
  • 8h-indexImpact measure calculated using publication and citation counts. Updated daily.
  • 143CitationsNumber of citations received by Kris's publications. Updated daily.

Other IDs

Research interests

latent semantic indexingcomputersrecommender systems

About

Mendeley's Chief Data Scientist, running Knowledge Discovery products and R&D activities. Main responsibilities: - Lead Mendeley's Data Science team - Design and build Knowledge Discovery products (e.g. recommendation engine, crowd-sourced research catalogue, search engine and knowledge hub) - Integrate innovative data technologies in Mendeley’s products - Manage grant funded projects with a net worth of over 1 million euros Mendeley (Senior Data Mining Engineer) - Personalised recommendation system for research material. - Building related research feature from document relatedness algorithms. - Automatic reference extraction using Conditional Random Fields. - Data mining team lead + lots more! NaCTeM, School of Computer Science, University of Manchester, UK (Research Associate) - Developing text mining tools in the biomedical domain. - Recommendation system for clinical trial protocols. - Semantically-based information extraction. Commissariat à l'Energie Atomique (CEA), France (Expert Research & Development Engineer) - Developing a semantic map of the French language. - Machine learning techniques including automatic classification of huge sets of web pages. - Researcher's tool for studying child language acquisition. Orange Labs (Formally France Télécom R&D), France (Expert Research & Development Engineer) - Developing a personalised system for Orange film buyers. - Recommendation system for films using a new hybrid approach giving more control to users. - Data visualisation of actor similarity using the google distance metric and displayed as radial trees. School of Computing, University of Dundee, UK (PhD in Artificial Intelligence) - A computational model of language acquisition. - Modelling the developmental trajectory of child language through multiple stages from word learning to employing role-based syntax. - Explaining psycholinguistic data through computational modeling.

Co-authors (38)

Publications (40)

Building recommender systems for scholarly information

  • Knoth P
  • Kershaw D
  • Pettit B
1st Workshop on Scholarly Web Mining (SWM 2017), WSDM2017 (2017)
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Effectively identifying users' research interests for scholarly reference management and discovery

  • Rossetti M
  • Vargas S
  • Magatti D
1st Workshop on Scholarly Web Mining (SWM 2017), WSDM2017 (2017)
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What Others Say About This Work? Scalable Extraction of Citation Contexts from Research Papers

  • Knoth P
  • Gooch P
  • Jack K
International Conference on Theory and Practice of Digital Libraries (2017)
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De-duplicating a large crowd-sourced catalogue of bibliographic records

  • Subasic I
  • Gvozdenovic N
  • Jack K
Program (2016)
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Full text

Mendeley: Recommendations for Researchers

  • Vargas S
  • Hristakeva M
  • Jack K
Proceedings of the 10th ACM Conference on Recommender Systems (2016)
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Full text

Professional experience

Chief Data Scientist

Mendeley

July 2012 - Present

Senior Data Mining Engineer

Mendeley

March 2010 - July 2012(2 years)

Research Associate in NaCTem

University of Manchester

September 2009 - March 2010(6 months)

Expert R&D Engineer

Commissariat à l'Énergie Atomique

June 2008 - June 2009(a year)

Expert R&D Engineer

France Télécom

December 2006 - June 2008(2 years)

Education history

PhD in Applied Computing

University of Dundee

August 2002 - October 2006(4 years)

BSc Honours in Applied Computing

University of Dundee

August 1998 - August 2002(4 years)