John Hannon

Orcid: 0000-0002-1790-0860

According to our database1, John Hannon authored at least 13 papers between 2010 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Open Source Software as the Main Driver for Evolving Software Systems Toward a Distributed and Performant E-Commerce Platform: A Zalando Fashion Store Case Study.
IT Prof., 2021

2017
A New Methodology for Partnering Transportation Projects.
Proceedings of the Advances in Human Factors, Sustainable Urban Planning and Infrastructure, 2017

2016
3rd Workshop on Recommendation Systems for Television and Online Video (RecSysTV 2016).
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

2015
2nd Workshop on Recommendation Systems for Television and Online Video (RecSysTV 2015).
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

2014
First workshop on recommendation systems for television and online video: (RecSysTV 2014).
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

2013
Incommensurate practices: sociomaterial entanglements of learning technology implementation.
J. Comput. Assist. Learn., 2013

2012
A Multi-faceted User Model for Twitter.
Proceedings of the User Modeling, Adaptation, and Personalization, 2012

Content vs. Tags for Friend Recommendation.
Proceedings of the Research and Development in Intelligent Systems XXIX, 2012

2011
Personalized and automatic social summarization of events in video.
Proceedings of the 16th International Conference on Intelligent User Interfaces, 2011

Bridging Recommendation and Adaptation: Generic Adaptation Framework - Twittomender compliance case-study.
Proceedings of the Workshop on Dynamic and Adaptive Hypertext: Generic Frameworks, 2011

Finding Useful Users on Twitter: Twittomender the Followee Recommender.
Proceedings of the Advances in Information Retrieval, 2011

2010
Negotiating Contested Discourses of Learning Technologies in Higher Education.
J. Educ. Technol. Soc., 2010

Recommending twitter users to follow using content and collaborative filtering approaches.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010


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