Context-Aware Recommendation Based On Review Mining. - Negar Hariri; Bamshad Mobasher; Robin Burke; Yong Zheng 001 (ITWP@IJCAI, 2011)

Experience Discovery: hybrid recommendation of student activities using social network data. - Robin Burke; Yong Zheng 001; Scott Riley (HetRec@RecSys, 2011)

Differential Context Relaxation for Context-Aware Travel Recommendation. - Yong Zheng 001; Robin D. Burke; Bamshad Mobasher (EC-Web, 2012)

The Role of Emotions in Context-aware Recommendation. - Yong Zheng 001; Bamshad Mobasher; Robin D. Burke (Decisions@RecSys, 2013)

Recommendation with Differential Context Weighting. - Yong Zheng 001; Robin D. Burke; Bamshad Mobasher (UMAP, 2013)

Deviation-Based Contextual SLIM Recommenders. - Yong Zheng 001; Bamshad Mobasher; Robin D. Burke (CIKM, 2014)

Seismic Qualification of Telecommunication System in Nuclear Power Plant. - Zhichun Li; Yong Zheng 001 (ICGEC, 2014)

Deviation-based and similarity-based contextual SLIM recommendation algorithms. - Yong Zheng 001 (RecSys, 2014)

CSLIM: contextual SLIM recommendation algorithms. - Yong Zheng 001; Bamshad Mobasher; Robin D. Burke (RecSys, 2014)

Semi-supervised context-aware matrix factorization: using contexts in a way of "latent" factors. - Yong Zheng 001 (SAC, 2014)

Splitting approaches for context-aware recommendation: an empirical study. - Yong Zheng 001; Robin D. Burke; Bamshad Mobasher (SAC, 2014)

Context Recommendation Using Multi-label Classification. - Yong Zheng 001; Bamshad Mobasher; Robin D. Burke (WI-IAT (1), 2014)

Context Suggestion: Solutions and Challenges. - Yong Zheng 001 (ICDM Workshops, 2015)

CARSKit: A Java-Based Context-Aware Recommendation Engine. - Yong Zheng 001; Bamshad Mobasher; Robin D. Burke (ICDM Workshops, 2015)

Incorporating Context Correlation into Context-aware Matrix Factorization. - Yong Zheng 001; Bamshad Mobasher; Robin D. Burke (CPCR+ITWP@IJCAI, 2015)

A Revisit to The Identification of Contexts in Recommender Systems. - Yong Zheng 001 (IUI Companion, 2015)

Improve general contextual slim recommendation algorithms by factorizing contexts. - Yong Zheng 001 (SAC, 2015)

Integrating Context Similarity with Sparse Linear Recommendation Model. - Yong Zheng 001; Bamshad Mobasher; Robin D. Burke (UMAP, 2015)

Similarity-Based Context-Aware Recommendation. - Yong Zheng 001; Bamshad Mobasher; Robin D. Burke (WISE (1), 2015)

A User's Guide to CARSKit. - Yong Zheng 001 (CoRR, 2015)

Adapt to Emotional Reactions in Context-aware Personalization. - Yong Zheng 001 (EMPIRE@RecSys, 2016)

Context-driven mobile apps management and recommendation: student research abstract. - Yong Zheng 001 (SAC, 2016)

User-Oriented Context Suggestion. - Yong Zheng 001; Bamshad Mobasher; Robin Burke (UMAP, 2016)

Identification of Grey Sheep Users by Histogram Intersection in Recommender Systems. - Yong Zheng 001; Mayur Agnani; Mili Singh (ADMA, 2017)

Criteria Chains: A Novel Multi-Criteria Recommendation Approach. - Yong Zheng 001 (IUI, 2017)

The 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning: (RecSysKTL). - Yong Zheng 001; Weike Pan; Shaghayegh (Sherry) Sahebi; Ignacio Fernández (RecSys, 2017)

Climate Change: Relationships to CO2 Emission and Locations. - Mandar Kadam; Nisha Kanoo; Yong Zheng 001 (RITT, 2017)

Identifying Grey Sheep Users By The Distribution of User Similarities In Collaborative Filtering. - Yong Zheng 001; Mayur Agnani; Mili Singh (RITT, 2017)

Situation-aware multi-criteria recommender system: using criteria preferences as contexts. - Yong Zheng 001 (SAC, 2017)

Indirect Context Suggestion. - Yong Zheng 001 (UMAP, 2017)

Context suggestion: empirical evaluations vs user studies. - Yong Zheng 001 (WI, 2017)

Affective prediction by collaborative chains in movie recommendation. - Yong Zheng 001 (WI, 2017)

Multi-Stakeholder Recommendation: Applications and Challenges. - Yong Zheng 001 (CoRR, 2017)

Interpreting Contextual Effects By Contextual Modeling In Recommender Systems. - Yong Zheng 001 (CoRR, 2017)

Emotions in Context-Aware Recommender Systems. - Yong Zheng 001; Bamshad Mobasher; Robin Burke (Emotions and Personality in Personalized Services, 2017)

Context-Aware Recommendations. - Yong Zheng 001; Bamshad Mobasher (Collaborative Recommendations, 2018)

Special Track on Recommender Systems. - Nadia Najjar; Yong Zheng 001 (FLAIRS, 2018)

Context-Aware Mobile Recommendation By A Novel Post-Filtering Approach. - Yong Zheng 001 (FLAIRS, 2018)

Personality-Aware Decision Making In Educational Learning. - Yong Zheng 001 (IUI Companion, 2018)

Identifying Dominators and Followers in Group Decision Making based on The Personality Traits. - Yong Zheng 001 (IUI Workshops, 2018)

The 2nd workshop on intelligent recommender systems by knowledge transfer & learning (recsysKTL). - Shaghayegh (Sherry) Sahebi; Yong Zheng 001; Weike Pan; Ignacio Fernández (RecSys, 2018)

Predicting Political Trends By Social Tagging. - Yong Zheng 001; Mengran Liu (SIGITE, 2018)

Exploratory Malware Analysis of Mobile Usages. - Yong Zheng 001; Sridhar Srinivasan; Taehun Kim (SIGITE, 2018)

Exploring User Roles In Group Recommendations: A Learning Approach. - Yong Zheng 001 (UMAP (Adjunct Publication), 2018)

Fairness In Reciprocal Recommendations: A Speed-Dating Study. - Yong Zheng 001; Tanaya Dave; Neha Mishra; Harshit Kumar (UMAP (Adjunct Publication), 2018)

Incorporating Time Dynamics and Implicit Feedback into Music Recommender Systems. - Diego Sánchez-Moreno; Yong Zheng 001; María N. Moreno García (WI, 2018)

Utility-Based Multi-Stakeholder Recommendations by Multi-Objective Optimization. - Yong Zheng 001; Aviana Pu (WI, 2018)

Mobile App and Malware Classifications by Mobile Usage with Time Dynamics. - Yong Zheng 001; Sridhar Srinivasan (AINA, 2019)

Personality-Aware Collaborative Learning: Models and Explanations. - Yong Zheng 001; Archana Subramaniyan (AINA, 2019)

Recommendation for Multi-stakeholders and through Neural Review Mining. - Muthusamy Chelliah; Yong Zheng 001; Sudeshna Sarkar (CIKM, 2019)

Multi-stakeholder Personalized Learning with Preference Corrections. - Yong Zheng 001 (ICALT, 2019)

Discovering the Impact of Student Communities in Educational Recommendations. - Yong Zheng 001 (ICCE, 2019)

Multi-stakeholder recommendations: case studies, methods and challenges. - Yong Zheng 001 (RecSys, 2019)

Utility-based multi-criteria recommender systems. - Yong Zheng 001 (SAC, 2019)

Context-aware recommendations via sequential predictions. - Yong Zheng 001; Alisha Anna Jose (SAC, 2019)

Integrating context-awareness and multi-criteria decision making in educational learning. - Yong Zheng 001; Shephalika Shekhar; Alisha Anna Jose; Sunil Kumar Rai (SAC, 2019)

Bikesharing: Analysis and Prediction. - Geeth Priya Kuppusamy; Chandni Thakkar; Yong Zheng 001 (SIGITE, 2019)

Exploratory Analysis of Chicago Taxi Rides. - Nikita Shahane; Megha Kaul; Yong Zheng 001 (SIGITE, 2019)

A Course on Applied AI and Data Science: Recommender Systems. - Yong Zheng 001 (SIGITE, 2019)

A Comparison of Tools for Teaching and Learning Data Analytics. - Yong Zheng 001 (SIGITE, 2019)

Educational Group Recommendations By Learning Group Expectations. - Yong Zheng 001 (TALE, 2019)

Personalized Educational Learning with Multi-Stakeholder Optimizations. - Yong Zheng 001; Nastaran Ghane; Milad Sabouri (UMAP (Adjunct Publication), 2019)

Preference corrections: capturing student and instructor perceptions in educational recommendations. - Yong Zheng 001 (Smart Learn. Environ., 2019)

Educational Group Recommendations with Virtual Leaders. - Yong Zheng 001 (ICALT, 2020)

Ride-Share Analysis in Boston City: A Comparison Between Uber and Lyft. - Vih Modeste Dogo; Khushboo Garg; Yong Zheng 001 (SIGITE, 2020)

A Comparison of Tools and Libraries for In-Class Face Detection and Emotion Recognition. - Alejandro Susillo Ridao; Yong Zheng 001 (SIGITE, 2020)

SIGITE and SIGCSE Symposiums: A Comparative Study. - Yong Zheng 001 (SIGITE, 2020)

Fill Students' Knowledge Gap by Recommending Remedial Learning Materials. - Yong Zheng 001 (SIGITE, 2020)

Predictive Staffing Model for Transit Security. - Yong Zheng 001; Shubham Madke; Vih Modeste Dogo; Yash Agrawal (SIGITE, 2020)

Time-Aware Music Recommender Systems: Modeling the Evolution of Implicit User Preferences and User Listening Habits in A Collaborative Filtering Approach. - Diego Sánchez-Moreno; Yong Zheng 001; María N. Moreno García (CoRR, 2020)

Penalty-Enhanced Utility-Based Multi-Criteria Recommendations. - Yong Zheng 001 (Inf., 2020)

Multi-Objective Recommendations. - Yong Zheng 001; David (Xuejun) Wang (KDD, 2021)

Multi-Objective Recommendations: A Tutorial. - Yong Zheng 001; David (Xuejun) Wang (CoRR, 2021)

Personality-aware recommendations: an empirical study in education. - Yong Zheng 001; Archana Subramaniyan (Int. J. Grid Util. Comput., 2021)

The role of transparency in multi-stakeholder educational recommendations. - Yong Zheng 001; Juan Ruiz Toribio (User Model. User Adapt. Interact., 2021)

FinRec: The 3rd International Workshop on Personalization & Recommender Systems in Financial Services. - Toine Bogers; Cataldo Musto; David (Xuejun) Wang; Alexander Felfernig; Simone Borg Bruun; Giovanni Semeraro; Yong Zheng 001 (RecSys, 2022)

Pressure Test: Finding Appropriate Data Size for Practice in Data Science Education. - Yong Zheng 001; Arnold Liu; Shuaiqi Zheng (SIGITE, 2022)

A Comparison of Students' Learning Behaviors and Performance Among Pre, During and Post COVID-19 Pandemic. - Yong Zheng 001; Shuaiqi Zheng (SIGITE, 2022)

DeepCARSKit: A Demo and User Guide. - Yong Zheng 001 (UMAP (Adjunct Publication), 2022)

A Family of Neural Contextual Matrix Factorization Models for Context-Aware Recommendations. - Yong Zheng 001; Gonzalo Florez Arias (UMAP (Adjunct Publication), 2022)

Multi-Criteria Ranking: Next Generation of Multi-Criteria Recommendation Framework. - Yong Zheng 001; David (Xuejun) Wang (IEEE Access, 2022)

Non-dominated differential context modeling for context-aware recommendations. - Yong Zheng 001 (Appl. Intell., 2022)

A survey of recommender systems with multi-objective optimization. - Yong Zheng 001; David (Xuejun) Wang (Neurocomputing, 2022)

Context-Aware Collaborative Filtering Using Context Similarity: An Empirical Comparison. - Yong Zheng 001 (Inf., 2022)

JIIS preface for the special issue on advances in recommender systems. - Yong Zheng 001; Li Chen 009; Markus Zanker; Panagiotis Symeonidis (J. Intell. Inf. Syst., 2022)

DeepCARSKit: A deep learning based context-aware recommendation library. - Yong Zheng 001 (Softw. Impacts, 2022)

Tutorial: Educational Recommender Systems. - Yong Zheng 001 (AIED (Posters/Late Breaking Results/...), 2023)

Multi-Objective Portfolio Optimization Towards Sustainable Investments. - Yong Zheng 001; Kumar Neelotpal Shukla; Jasmine Xu; David Xuejun Wang; Michael O'Leary (COMPASS, 2023)

Multi-Criteria Decision Making and Recommender Systems. - Yong Zheng 001; David (Xuejun) Wang (IUI Companion, 2023)

A Comparative Study of Preference Ordering Methods for Multi-Criteria Ranking. - Yong Zheng 001; David Xuejun Wang (SDS, 2023)

ChatGPT for Teaching and Learning: An Experience from Data Science Education. - Yong Zheng 001 (SIGITE, 2023)

Academic Writing by Using Latex: A Hands-on Workshop. - Yong Zheng 001 (SIGITE, 2023)

Multi-Criteria Ranking by Using Relaxed Pareto Ranking Methods. - Yong Zheng 001; David Xuejun Wang (UMAP (Adjunct Publication), 2023)

ITM-Rec: An Open Data Set for Educational Recommender Systems. - Yong Zheng 001 (CoRR, 2023)

Hybrid Multi-Criteria Preference Ranking by Subsorting. - Yong Zheng 001; David Xuejun Wang (CoRR, 2023)

MOPO-LSI: A User Guide. - Yong Zheng 001; Kumar Neelotpal Shukla; Jasmine Xu; David (Xuejun) Wang; Michael O'Leary (CoRR, 2023)

ACM Conference on Recommender Systems September 18-22, 2023 at Singapore. - Yong Zheng 001; Hanna Hauptmann; Guibing Guo (SIGWEB Newsl., 2023)

MOPO-LSI: An open-source multi-objective portfolio optimization library for sustainable investments. - Yong Zheng 001; Kumar Neelotpal Shukla; Jasmine Xu; David (Xuejun) Wang; Michael O'Leary (Softw. Impacts, 2023)

An Empirical Comparison of Outlier Detection Methods for Identifying Grey-Sheep Users in Recommender Systems. - Yong Zheng 001 (AINA (2), 2024)

Designing a FAQ Chatbot to Enhance Faculty Support. - Sahil Thorat; Yong Zheng 001; Vivian Jacob Varghese; Anette Volkova (SIGITE, 2024)

A Comprehensive Analysis of ACM SIGITE 2003 - 2023 Publications Using LitStudy. - Yong Zheng 001 (SIGITE, 2024)

ITM-Rec: An Open Data Set for Educational Recommender Systems. - Yong Zheng 001 (IEEE DataPort, 2024)

OpenTable data with multi-criteria ratings. - Yong Zheng 001 (IEEE DataPort, 2025)