Yong Zheng

Orcid: 0000-0003-4990-4580

Affiliations:
  • Illinois Institute of Technology, College of Computing, Chicago, IL, USA
  • DePaul University, Chicago, IL, USA


According to our database1, Yong Zheng authored at least 99 papers between 2011 and 2024.

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

Timeline

Legend:

Book 
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PhD thesis 
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Online presence:

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Bibliography

2024
ITM-Rec: An Open Data Set for Educational Recommender Systems.
Dataset, February, 2024

An Empirical Comparison of Outlier Detection Methods for Identifying Grey-Sheep Users in Recommender Systems.
Proceedings of the Advanced Information Networking and Applications, 2024

2023
MOPO-LSI: An open-source multi-objective portfolio optimization library for sustainable investments.
Softw. Impacts, May, 2023

ACM Conference on Recommender Systems September 18-22, 2023 at Singapore.
SIGWEB Newsl., 2023

MOPO-LSI: A User Guide.
CoRR, 2023

Hybrid Multi-Criteria Preference Ranking by Subsorting.
CoRR, 2023

ITM-Rec: An Open Data Set for Educational Recommender Systems.
CoRR, 2023

Multi-Criteria Ranking by Using Relaxed Pareto Ranking Methods.
Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023

Academic Writing by Using Latex: A Hands-on Workshop.
Proceedings of the 24th Annual Conference on Information Technology Education, 2023

ChatGPT for Teaching and Learning: An Experience from Data Science Education.
Proceedings of the 24th Annual Conference on Information Technology Education, 2023

A Comparative Study of Preference Ordering Methods for Multi-Criteria Ranking.
Proceedings of the 10th IEEE Swiss Conference on Data Science, 2023

Multi-Criteria Decision Making and Recommender Systems.
Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Multi-Objective Portfolio Optimization Towards Sustainable Investments.
Proceedings of the 6th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, 2023

Tutorial: Educational Recommender Systems.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022
DeepCARSKit: A deep learning based context-aware recommendation library.
Softw. Impacts, 2022

JIIS preface for the special issue on advances in recommender systems.
J. Intell. Inf. Syst., 2022

Context-Aware Collaborative Filtering Using Context Similarity: An Empirical Comparison.
Inf., 2022

A survey of recommender systems with multi-objective optimization.
Neurocomputing, 2022

Non-dominated differential context modeling for context-aware recommendations.
Appl. Intell., 2022

Multi-Criteria Ranking: Next Generation of Multi-Criteria Recommendation Framework.
IEEE Access, 2022

A Family of Neural Contextual Matrix Factorization Models for Context-Aware Recommendations.
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

DeepCARSKit: A Demo and User Guide.
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

A Comparison of Students' Learning Behaviors and Performance Among Pre, During and Post COVID-19 Pandemic.
Proceedings of the SIGITE '22: The 23rd Annual Conference on Information Technology Education, Chicago, IL, USA, September 21, 2022

Pressure Test: Finding Appropriate Data Size for Practice in Data Science Education.
Proceedings of the SIGITE '22: The 23rd Annual Conference on Information Technology Education, Chicago, IL, USA, September 21, 2022

FinRec: The 3rd International Workshop on Personalization & Recommender Systems in Financial Services.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021
The role of transparency in multi-stakeholder educational recommendations.
User Model. User Adapt. Interact., 2021

Personality-aware recommendations: an empirical study in education.
Int. J. Grid Util. Comput., 2021

Multi-Objective Recommendations: A Tutorial.
CoRR, 2021

Multi-Objective Recommendations.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Penalty-Enhanced Utility-Based Multi-Criteria Recommendations.
Inf., 2020

Time-Aware Music Recommender Systems: Modeling the Evolution of Implicit User Preferences and User Listening Habits in A Collaborative Filtering Approach.
CoRR, 2020

Predictive Staffing Model for Transit Security.
Proceedings of the SIGITE '20: The 21st Annual Conference on Information Technology Education, 2020

Fill Students' Knowledge Gap by Recommending Remedial Learning Materials.
Proceedings of the SIGITE '20: The 21st Annual Conference on Information Technology Education, 2020

SIGITE and SIGCSE Symposiums: A Comparative Study.
Proceedings of the SIGITE '20: The 21st Annual Conference on Information Technology Education, 2020

A Comparison of Tools and Libraries for In-Class Face Detection and Emotion Recognition.
Proceedings of the SIGITE '20: The 21st Annual Conference on Information Technology Education, 2020

Ride-Share Analysis in Boston City: A Comparison Between Uber and Lyft.
Proceedings of the SIGITE '20: The 21st Annual Conference on Information Technology Education, 2020

Educational Group Recommendations with Virtual Leaders.
Proceedings of the 20th IEEE International Conference on Advanced Learning Technologies, 2020

2019
Preference corrections: capturing student and instructor perceptions in educational recommendations.
Smart Learn. Environ., 2019

Personalized Educational Learning with Multi-Stakeholder Optimizations.
Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019

Educational Group Recommendations By Learning Group Expectations.
Proceedings of the IEEE International Conference on Engineering, Technology and Education, 2019

A Comparison of Tools for Teaching and Learning Data Analytics.
Proceedings of the 20th Annual SIG Conference on Information Technology Education, 2019

A Course on Applied AI and Data Science: Recommender Systems.
Proceedings of the 20th Annual SIG Conference on Information Technology Education, 2019

Exploratory Analysis of Chicago Taxi Rides.
Proceedings of the 20th Annual SIG Conference on Information Technology Education, 2019

Bikesharing: Analysis and Prediction.
Proceedings of the 20th Annual SIG Conference on Information Technology Education, 2019

Integrating context-awareness and multi-criteria decision making in educational learning.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Context-aware recommendations via sequential predictions.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Utility-based multi-criteria recommender systems.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Multi-stakeholder recommendations: case studies, methods and challenges.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Multi-stakeholder Personalized Learning with Preference Corrections.
Proceedings of the 19th IEEE International Conference on Advanced Learning Technologies, 2019

Recommendation for Multi-stakeholders and through Neural Review Mining.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Personality-Aware Collaborative Learning: Models and Explanations.
Proceedings of the Advanced Information Networking and Applications, 2019

Mobile App and Malware Classifications by Mobile Usage with Time Dynamics.
Proceedings of the Advanced Information Networking and Applications, 2019

2018
Utility-Based Multi-Stakeholder Recommendations by Multi-Objective Optimization.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Incorporating Time Dynamics and Implicit Feedback into Music Recommender Systems.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Fairness In Reciprocal Recommendations: A Speed-Dating Study.
Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018

Exploring User Roles In Group Recommendations: A Learning Approach.
Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018

Exploratory Malware Analysis of Mobile Usages.
Proceedings of the 19th Annual SIG Conference on Information Technology Education, 2018

Predicting Political Trends By Social Tagging.
Proceedings of the 19th Annual SIG Conference on Information Technology Education, 2018

The 2nd workshop on intelligent recommender systems by knowledge transfer & learning (recsysKTL).
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Identifying Dominators and Followers in Group Decision Making based on The Personality Traits.
Proceedings of the Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), 2018

Personality-Aware Decision Making In Educational Learning.
Proceedings of the 23rd International Conference on Intelligent User Interfaces Companion, 2018

Context-Aware Mobile Recommendation By A Novel Post-Filtering Approach.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

Special Track on Recommender Systems.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

Context-Aware Recommendations.
Proceedings of the Collaborative Recommendations, 2018

2017
Emotions in Context-Aware Recommender Systems.
Proceedings of the Emotions and Personality in Personalized Services, 2017

Interpreting Contextual Effects By Contextual Modeling In Recommender Systems.
CoRR, 2017

Multi-Stakeholder Recommendation: Applications and Challenges.
CoRR, 2017

Affective prediction by collaborative chains in movie recommendation.
Proceedings of the International Conference on Web Intelligence, 2017

Context suggestion: empirical evaluations vs user studies.
Proceedings of the International Conference on Web Intelligence, 2017

Indirect Context Suggestion.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Situation-aware multi-criteria recommender system: using criteria preferences as contexts.
Proceedings of the Symposium on Applied Computing, 2017

Identifying Grey Sheep Users By The Distribution of User Similarities In Collaborative Filtering.
Proceedings of the 6th Annual Conference on Research in Information Technology, 2017

Climate Change: Relationships to CO<sub>2</sub> Emission and Locations.
Proceedings of the 6th Annual Conference on Research in Information Technology, 2017

The 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning: (RecSysKTL).
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Criteria Chains: A Novel Multi-Criteria Recommendation Approach.
Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017

Identification of Grey Sheep Users by Histogram Intersection in Recommender Systems.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2016
User-Oriented Context Suggestion.
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Context-driven mobile apps management and recommendation: student research abstract.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Adapt to Emotional Reactions in Context-aware Personalization.
Proceedings of the 4th Workshop on Emotions and Personality in Personalized Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), 2016

2015
A User's Guide to CARSKit.
CoRR, 2015

Similarity-Based Context-Aware Recommendation.
Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

Integrating Context Similarity with Sparse Linear Recommendation Model.
Proceedings of the User Modeling, Adaptation and Personalization, 2015

Improve general contextual slim recommendation algorithms by factorizing contexts.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

A Revisit to The Identification of Contexts in Recommender Systems.
Proceedings of the 20th International Conference on Intelligent User Interfaces Companion, 2015

Incorporating Context Correlation into Context-aware Matrix Factorization.
Proceedings of the IJCAI 2015 Joint Workshop on Constraints and Preferences for Configuration and Recommendation and Intelligent Techniques for Web Personalization co-located with the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), 2015

CARSKit: A Java-Based Context-Aware Recommendation Engine.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Context Suggestion: Solutions and Challenges.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
Context Recommendation Using Multi-label Classification.
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

Splitting approaches for context-aware recommendation: an empirical study.
Proceedings of the Symposium on Applied Computing, 2014

Semi-supervised context-aware matrix factorization: using contexts in a way of "latent" factors.
Proceedings of the Symposium on Applied Computing, 2014

CSLIM: contextual SLIM recommendation algorithms.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Deviation-based and similarity-based contextual SLIM recommendation algorithms.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Seismic Qualification of Telecommunication System in Nuclear Power Plant.
Proceedings of the Genetic and Evolutionary Computing, 2014

Deviation-Based Contextual SLIM Recommenders.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Recommendation with Differential Context Weighting.
Proceedings of the User Modeling, Adaptation, and Personalization, 2013

The Role of Emotions in Context-aware Recommendation.
Proceedings of the 3rd Workshop on Human Decision Making in Recommender Systems in conjunction with the 7th ACM Conference on Recommender Systems (RecSys 2013), 2013

2012
Differential Context Relaxation for Context-Aware Travel Recommendation.
Proceedings of the E-Commerce and Web Technologies - 13th International Conference, 2012

2011
Experience Discovery: hybrid recommendation of student activities using social network data.
Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems, 2011

Context-Aware Recommendation Based On Review Mining.
Proceedings of the 9th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems, 2011


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