Jonathan Gemmell

According to our database1, Jonathan Gemmell authored at least 35 papers between 2008 and 2022.

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Bibliography

2022
Behavioral Player Rating in Competitive Online Shooter Games.
CoRR, 2022

Does the User Have A Theory of the Recommender? A Grounded Theory Study.
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

2021
The Evaluation of Rating Systems in Team-based Battle Royale Games.
CoRR, 2021

How does the User's Knowledge of the Recommender Influence their Behavior?
Proceedings of the 8th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

Player Modeling using Behavioral Signals in Competitive Online Games.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

Evaluating Team Skill Aggregation in Online Competitive Games.
Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2020
Assessing distributed collaborative recommendations in different opportunistic network scenarios.
Int. J. Grid Util. Comput., 2020

The Evaluation of Rating Systems in Online Free-for-All Games.
CoRR, 2020

Comparing automatically extracted topics from online suicidal ideation and the responses they invoke.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

2019
Interactive Technologies Designed for Children with Autism: Reports of Use and Desires from Parents, Teachers, and Therapists.
ACM Trans. Access. Comput., 2019

Does the User Have A Theory of the Recommender? A Pilot Study.
Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 13th ACM Conference on Recommender Systems(RecSys 2019), 2019

Using Machine Learning Algorithms to Detect Suicide Risk Factors on Twitter.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018
Automatic extraction of informal topics from online suicidal ideation.
BMC Bioinform., 2018

A framework for developing metrics of youth engagement in informal learning environments.
Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 2018

Detecting and Characterizing Trends in Online Mental Health Discussions.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Distributed User-Based Collaborative Filtering on an Opportunistic Network.
Proceedings of the 32nd IEEE International Conference on Advanced Information Networking and Applications, 2018

Improved Results for Minimum Constraint Removal.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Discovery of Informal Topics from Post Traumatic Stress Disorder Forums.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Revealing Interaction Patterns Among Youth in an Online Social Learning Network Using Markov Chain Principles.
Proceedings of the 12th International Conference on Computer Supported Collaborative Learning, 2017

2016
Recommender System to Support Brokering of Youth Learning Opportunities.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

Infusing Collaborative Recommenders with Distributed Representations.
Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, 2016

2014
User Partitioning Hybrid for Tag Recommendation.
Proceedings of the User Modeling, Adaptation, and Personalization, 2014

Resource Recommendation in Social Annotation Systems Based on User Partitioning.
Proceedings of the E-Commerce and Web Technologies - 15th International Conference, 2014

2012
Resource recommendation in social annotation systems: A linear-weighted hybrid approach.
J. Comput. Syst. Sci., 2012

2011
Recommendation in the Social Web.
AI Mag., 2011

Tag-Based Resource Recommendation in Social Annotation Applications.
Proceedings of the User Modeling, Adaption and Personalization, 2011

Recommendation by Example in Social Annotation Systems.
Proceedings of the E-Commerce and Web Technologies - 12th International Conference, 2011

2010
Resource Recommendation in Collaborative Tagging Applications.
Proceedings of the E-Commerce and Web Technologies, 11th International Conference, 2010

Hybrid tag recommendation for social annotation systems.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
The impact of ambiguity and redundancy on tag recommendation in folksonomies.
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

A Fast Effective Multi-Channeled Tag Recommender.
Proceedings of ECML PKDD (The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) Discovery Challenge 2009, 2009

Adapting K-Nearest Neighbor for Tag Recommendation in Folksonomies.
Proceedings of the 7th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems (ITWP'09), Pasadena, California, USA, July 11-17, 2009 in conjunction with the 21st International Joint Conference on Artificial Intelligence, 2009

Evaluating the Impact of Attacks in Collaborative Tagging Environments.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

2008
Personalized recommendation in social tagging systems using hierarchical clustering.
Proceedings of the 2008 ACM Conference on Recommender Systems, 2008

Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering.
Proceedings of the Data Warehousing and Knowledge Discovery, 10th International Conference, 2008


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