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Jonathan Gemmell
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2020 – today
- 2022
- [c27]Mohammed Muheeb Ghori, Arman Dehpanah, Jonathan Gemmell, Hamed Qahri-Saremi, Bamshad Mobasher:
Does the User Have A Theory of the Recommender? A Grounded Theory Study. UMAP (Adjunct Publication) 2022: 167-174 - [i7]Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher:
Behavioral Player Rating in Competitive Online Shooter Games. CoRR abs/2207.00528 (2022) - 2021
- [c26]Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher:
Evaluating Team Skill Aggregation in Online Competitive Games. CoG 2021: 1-8 - [c25]Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher:
Player Modeling using Behavioral Signals in Competitive Online Games. CSCI 2021: 569-574 - [c24]Muheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell, Hamed Qahri-Saremi, Bamshad Mobasher:
How does the User's Knowledge of the Recommender Influence their Behavior? IntRS@RecSys 2021: 38-54 - [i6]Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher:
The Evaluation of Rating Systems in Team-based Battle Royale Games. CoRR abs/2105.14069 (2021) - [i5]Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher:
Evaluating Team Skill Aggregation in Online Competitive Games. CoRR abs/2106.11397 (2021) - [i4]Muheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell, Hamed Qahri-Saremi, Bamshad Mobasher:
How does the User's Knowledge of the Recommender Influence their Behavior? CoRR abs/2109.00982 (2021) - [i3]Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher:
Player Modeling using Behavioral Signals in Competitive Online Games. CoRR abs/2112.04379 (2021) - 2020
- [j5]Lucas Nunes Barbosa, Jonathan F. Gemmell, Miller Horvath, Tales Heimfarth:
Assessing distributed collaborative recommendations in different opportunistic network scenarios. Int. J. Grid Util. Comput. 11(5): 646-661 (2020) - [c23]Elise Glaser, Alexander Morain, Jonathan Gemmell, Daniela Raicu:
Comparing automatically extracted topics from online suicidal ideation and the responses they invoke. SAC 2020: 1818-1825 - [i2]Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher:
The Evaluation of Rating Systems in Online Free-for-All Games. CoRR abs/2008.06787 (2020)
2010 – 2019
- 2019
- [j4]Cynthia Putnam, Christina Hanschke, Jennifer Todd, Jonathan Gemmell, Mia Kollia:
Interactive Technologies Designed for Children with Autism: Reports of Use and Desires from Parents, Teachers, and Therapists. ACM Trans. Access. Comput. 12(3): 12:1-12:37 (2019) - [c22]Samah J. Fodeh, Taihua Li, Kevin Menczynski, Tedd Burgette, Andrew Harris, Georgeta Ilita, Satyan Rao, Jonathan Gemmell, Daniela Raicu:
Using Machine Learning Algorithms to Detect Suicide Risk Factors on Twitter. ICDM Workshops 2019: 941-948 - [c21]Muheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell, Hamed Qahri-Saremi, Bamshad Mobasher:
Does the User Have A Theory of the Recommender? A Pilot Study. IntRS@RecSys 2019: 77-85 - 2018
- [j3]Reilly Grant, David Kucher, Ana M. Leon, Jonathan Gemmell, Daniela Stan Raicu, Samah J. Fodeh:
Automatic extraction of informal topics from online suicidal ideation. BMC Bioinform. 19-S(8): 57-66 (2018) - [c20]Eduard Eiben, Jonathan Gemmell, Iyad A. Kanj, Andrew Youngdahl:
Improved Results for Minimum Constraint Removal. AAAI 2018: 6477-6484 - [c19]Lucas Nunes Barbosa, Jonathan Gemmell, Miller Horvath, Tales Heimfarth:
Distributed User-Based Collaborative Filtering on an Opportunistic Network. AINA 2018: 266-273 - [c18]Dante Chakravorti, Kathleen Law, Jonathan Gemmell, Daniela Raicu:
Detecting and Characterizing Trends in Online Mental Health Discussions. ICDM Workshops 2018: 697-706 - [c17]Denise C. Nacu, Jennifer Baltes, Taha Hamid, Jonathan Gemmell, Nichole Pinkard:
A framework for developing metrics of youth engagement in informal learning environments. LAK 2018: 310-314 - 2017
- [c16]Sarah Bishara, Jennifer Baltes, Taha Hamid, Taihua Li, Denise C. Nacu, Caitlin Kennedy Martin, Jonathan Gemmell, Chris MacArthur, Daniela Raicu, Nichole Pinkard:
Revealing Interaction Patterns Among Youth in an Online Social Learning Network Using Markov Chain Principles. CSCL 2017 - [c15]Reilly Grant, David Kucher, Ana M. Leon, Jonathan Gemmell, Daniela Raicu:
Discovery of Informal Topics from Post Traumatic Stress Disorder Forums. ICDM Workshops 2017: 452-461 - 2016
- [c14]Greg Zanotti, Miller Horvath, Lucas Nunes Barbosa, Venkata Trinadh Kumar Gupta Immedisetty, Jonathan Gemmell:
Infusing Collaborative Recommenders with Distributed Representations. DLRS@RecSys 2016: 35-42 - [c13]Taha Hamid, Denise C. Nacu, Taihua Li, Jonathan Gemmell, Daniela Stan Raicu, Caitlin Kennedy Martin, Michael Schutzenhofer, Nichole Pinkard:
Recommender System to Support Brokering of Youth Learning Opportunities. WI Workshops 2016: 64-65 - [i1]Greg Zanotti, Miller Horvath, Lucas Nunes Barbosa, Venkata Trinadh Kumar Gupta Immedisetty, Jonathan Gemmell:
Infusing Collaborative Recommenders with Distributed Representations. CoRR abs/1608.06298 (2016) - 2014
- [c12]Jonathan Gemmell, Bamshad Mobasher, Robin D. Burke:
Resource Recommendation in Social Annotation Systems Based on User Partitioning. EC-Web 2014: 101-112 - [c11]Jonathan Gemmell, Bamshad Mobasher, Robin D. Burke:
User Partitioning Hybrid for Tag Recommendation. UMAP 2014: 74-85 - 2012
- [j2]Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin D. Burke:
Resource recommendation in social annotation systems: A linear-weighted hybrid approach. J. Comput. Syst. Sci. 78(4): 1160-1174 (2012) - 2011
- [j1]Robin D. Burke, Jonathan Gemmell, Andreas Hotho, Robert Jäschke:
Recommendation in the Social Web. AI Mag. 32(3): 46-56 (2011) - [c10]Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin D. Burke:
Recommendation by Example in Social Annotation Systems. EC-Web 2011: 209-220 - [c9]Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin D. Burke:
Tag-Based Resource Recommendation in Social Annotation Applications. UMAP 2011: 111-122 - 2010
- [c8]Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin D. Burke:
Hybrid tag recommendation for social annotation systems. CIKM 2010: 829-838 - [c7]Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin D. Burke:
Resource Recommendation in Collaborative Tagging Applications. EC-Web 2010: 1-12
2000 – 2009
- 2009
- [c6]Maryam Ramezani, Jeff J. Sandvig, Thomas Schimoler, Jonathan Gemmell, Bamshad Mobasher, Robin D. Burke:
Evaluating the Impact of Attacks in Collaborative Tagging Environments. CSE (4) 2009: 136-143 - [c5]Jonathan Gemmell, Thomas Schimoler, Maryam Ramezani, Bamshad Mobasher:
Adapting K-Nearest Neighbor for Tag Recommendation in Folksonomies. ITWP 2009 - [c4]Jonathan Gemmell, Maryam Ramezani, Thomas Schimoler, Laura Christiansen, Bamshad Mobasher:
A Fast Effective Multi-Channeled Tag Recommender. DC@PKDD/ECML 2009 - [c3]Jonathan Gemmell, Maryam Ramezani, Thomas Schimoler, Laura Christiansen, Bamshad Mobasher:
The impact of ambiguity and redundancy on tag recommendation in folksonomies. RecSys 2009: 45-52 - 2008
- [c2]Jonathan Gemmell, Andriy Shepitsen, Bamshad Mobasher, Robin D. Burke:
Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering. DaWaK 2008: 196-205 - [c1]Andriy Shepitsen, Jonathan Gemmell, Bamshad Mobasher, Robin D. Burke:
Personalized recommendation in social tagging systems using hierarchical clustering. RecSys 2008: 259-266
Coauthor Index
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