Research Interests

His research interests lie in Data Science, Personalizations, Recommender Systems, Context-Awareness, Human Factors, Technology-Enhanced Learning, and so forth. It could be related to the following topics:

• General Areas: Data Science, Machine Learning, Artificial Intelligence
• Web & Learning Intelligence: Personalization, Recommender Systems, Learning Analytics
• HCI and Users: User Modeling, Human Factors (trust, emotion, personality), Behavior Analysis

Grants

• 2018 - 2020, NSF grant (#1830908) to support students in ACM UMAP 2018

Projects & Supervisions

Below is a list of students or researchers under his supervision

• List of PhD Students
  • Diego Sánchez-Moreno (Part-time PhD Student; University of Salamanca, Spain); Project: Music Recommender Systems

• List of Master Students
  • Recommender Systems
    • Maria Delgado Franco, Mili Singh, Mayur Agnani; Project: Grey Sheep Users In RecSys
    • Tanaya Dave, Neha Mishra, Harshit Kumar; Project: Reciprocal Recommendations
    • Shephalika Shekhar; Project: Multi-Criteria Recommender System
    • Shravan Shankar Polisetty, Alisha Anna Jose; Project: Context-Aware Recommender System
    • Nastaran Ghane, Milad Sabouri; Project: Multi-Stakeholder Recommendations
    • Archana Subramaniyan; Project: Personality-Aware Recommendations
    • student pending; Project: Transparency and Fairness
  • Cybersecurity
    • Raquel Noblejas Sampedro, Sridhar Srinivasan, Kim Taehun; Project: Mobile Security
• Students and Careers
  • Archana Subramaniyan, Zurich North America
  • Sridhar Srinivasan, DXC Technology
  • Shravan Shankar Polisetty, Google, Inc
  • Diego Sánchez-Moreno, Shotfarm, LLC
  • Mayur Agnani, MathWorks

Data Sets for Recommender Systems

• Context-aware Data Sets: https://github.com/irecsys/CARSKit/tree/master/context-aware_data_sets
• Movies: MovieLens, MovieTweetings, Netflix Prize Data, DoubanMovie, FilmTrust, CiaoDVD, MovieReviews, Yahoo Movies
• Music: Million Song, Last.FM, Yahoo Music, Audioscrobbler
• Books/Jokes: Book-Crossing, Jester
• Restaurant: EntreeChicago, Yelp
• Reviews: Epinions, TripAdvisor, MovieReviews, Yelp
• Tagging: Last.FM,
• Dating: LibimSeTi
• Scholarly Paper/Citations: ACL and ACM library data, DBLP1, DBLP2, DBLP3, DBLP4
• Healthcare: Nursing Home, Hospital Ratings
• MicroFinance: Kiva

Open Source Recommender Engines

• Apache Mahout, Java-based library, especially for scalable data mining.
• MyMediaLite, .Net-based library, specifically for recommender systems.
• LensKit, Java-based recsys engine with classical recsys algorithms.
• LibFM, a library for Factorization Machines
• JavaFM, Java 8 Factorisation Machines Library
• PITF, for tag recommendations
• RankSys: Java 8 RecSys framework for novelty, diversity and much more
• LibRec, Java-based library which implements the state-of-the-art recsys algorithms.
• CARSKit, Java-based library for context-aware recommendations.