Welcome To

Djordje Gligorijevic

Publications

Experience

Teaching

CV

ABOUT ME

Hi there, my name is Djordje Gligorijevic (pronounced as JORJ-e GLIG-oh-ree-E-vich), though I also go by George.

I am applied sciences manager at Meta, leading Intelligent Harvesting team in Meta’s Ranking AI Monetization organization focused on developing model templates with state-of-the-art ML techniques for hundreds of response prediction and quality models used for ads ecosystem.

I received PhD in computer science from Temple University, and a B.Sc. in information systems from the University of Belgrade.

For more info checkout the Journal & Conference Publications pages or my CV.

Research Interests

My research interests encompass Machine Learning, Spatial and Temporal Data Mining, Structured Regression, Extreme Multi-Label Classification, Natural Language Processing, Large Language Models, and the Integration of Qualitative Knowledge into predictive models. I specialize in Computational Healthcare & Precision Medicine, Auction Bid Valuation & Landscape Prediction, Search, Ranking, and Recommendation Systems, along with Computational Advertising.

Journal Publications

Title
Year
Authors
Journal
Page
Paper

Importance of social capital for knowledge acquisition – DeepLIFT learning from international development projects

  • 2024
  • Mikovic, R., Arsic, B.,Gligorijevic Dj.
  • Information Processing and Management, Volume 61, Issue 4, 2024, 10.1016/j.ipm.2024.103694. ISSN 0306-4573.
    (Impact Factor: 8.6)
more
pdf

Predicting Actions of Users using Heterogeneous Online Signals

  • 2022
  • Gligorijevic Dj., Gligorijevic J., Flores A.
  • Big Data 3:X, 1–15, DOI: 10.1089/big.2021.0320
    (Impact Factor: 2.128)
more
pdf

Use of Disease Embedding Technique to Predict the Risk of Progression to End-Stage Renal Disease

  • 2020
  • Zhou, F., Gillespie, A., Gligorijevic, Dj., Gligorijevic, J., Obradovic, Z.
  • Journal of Biomedical Informatics, vol. 105, May 2020, doi 10.1016/j.jbi.2020.103409
    (Impact Factor: 2.950)
more
pdf

Optimizing Clinical Trials Recruitment via Deep Learning

  • 2019
  • Gligorijevic, J.*, Gligorijevic, Dj.*, Pavlovski, M., Milkovitz, E., Glass, L., Grier, K., Vankireddy, P., Obradovic, Z
    * authors contributed equally
  • Journal of the American Medical Informatics Association, Volume 26, Issue 11, November 2019, pp. 1195-1202, doi 10.1093/jamia/ocz064.
    (Impact Factor: 4.270)
more
pdf

Social Network Analysis for better Understanding of Influenza

  • 2019
  • Ljubic, B., Gligorijevic, Dj., Gligorijevic, J., Pavlovski, M., Obradovic, Z.
  • Journal of Biomedical Informatics, vol. 93, May 2019, doi 10.1016/j.jbi.2019.103161.
    (Impact Factor: 2.882)
more
pdf

The influence of social capital on knowledge management maturity of nonprofit organizations - predictive modelling based on a multilevel analysis

  • 2019
  • Mikovic, R., Arsic, B., Gligorijevic, Dj., Gacic, M., Petrovic, D., Filipovic, N.
  • IEEE Access, IEEE, pp. 47929 - 47943, 2019, April 11, doi 10.1109/ACCESS.2019.2909812.
    (Impact Factor: 3.557)
more
pdf

Deeply Supervised Model for Click-Through Rate Prediction in Sponsored Search

  • 2019
  • Gligorijevic, J.*, Gligorijevic, Dj.*, Stojkovic, I., Bai, X., Goyal, A., Obradovic, Z.
    * authors contributed equally
  • Data Mining and Knowledge Discovery, Springer, 2019, April 3, doi 10.1007/s10618-019-00625-3. *Authors contributed equally.
    (Impact Factor: 2.481)
more
pdf

Large-Scale Discovery of Disease-Disease and Disease-Gene Associations

* datasets available

  • 2016
  • Gligorijevic, Dj., Stojanovic, J., Djuric, N., Radosavljevic, V., Grbovic, M., Kulathinal, R.J., Obradovic, Z.
  • Scientific Reports, Nature Publishing Group, 2016, Aug 31, 6:32404 doi 10.1038/srep32404.
    (Impact Factor: 5.578)
more
pdf

Disease Types Discovery from a Large Database of Inpatient Records: A Sepsis Study

  • 2016
  • Gligorijevic, Dj., Stojanovic, J., Obradovic, Z.
  • Methods, Elsevier, Jul 28. S1046-2023(16)30232-8, doi:10.1016/j.ymeth.2016.07.021
    (Impact Factor: 3.645)
more
pdf

Modeling Healthcare Quality via Compact Representations of Electronic Health Records

* datasets available

  • 2016
  • Stojanovic, J., Gligorijevic, Dj., Radosavljavic, V., Djuric, N., Grbovic, M., Obradovic, Z.
  • IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE, 2016, July 14, doi 10.1109/TCBB.2016.2591523
    (Impact Factor: 1.609)
more
pdf

Conference Publications

Title
Year
Authors
Conference
Page
Paper

Optimization-Based Budget Pacing in eBay Sponsored Search

  • 2024
  • Qinyi, C., Nguyen, H, Gligorijevic, Dj.
  • Proc. ACM The Web Conference 2024 (TheWebConf 2024), May 13. - 17. 2024, Singapore
more
pdf

Practical Budget Pacing Algorithms and Simulation Test Bed for eBay Marketplace Sponsored Search

  • 2023
  • Nguyen, H, Gligorijevic, Dj, Borah, A., Adalinge, G., Bagherjeiran, A.
  • AdKDD Workshop 2023 at the 29th ACM SIGKDD Conf. Knowledge Discovery and Data Mining (KDD 2023), August 6. - 10. 2023, Long Beach, CA, USA
more
pdf

Extreme Multi-label Classification for Ad Targeting using Factorization Machines

  • 2023
  • Pavlovski, M., Ravindan, S., Gligorijevic, Dj., Agrawal, S., Stojkovic, I., Segura-Nunez, N., Gligorijevic, J.,
  • Proc. 29th ACM SIGKDD Conf. Knowledge Discovery and Data Mining (KDD 2023), August 6. - 10. 2023, Long Beach, CA, USA
more
pdf

Efficient deep distribution network for bid shading in First-Price Auctions

  • 2021
  • Zhou, T., He, H., Pan, S., Karlsson, N., Shetty, B., Kitts, B., Gligorijevic, Dj., Pan, J., Gultekin, S., Mao, T., Long, J., Flores, A.
  • Proc. 27th ACM SIGKDD Conf. Knowledge Discovery and Data Mining (KDD 2021), August 14. - 18. 2021, Virtual Event, Singapore
more
pdf

Prospective Modeling of Users for Online Display Advertising via Deep Time-Aware Model

* datasets available

  • 2020
  • Gligorijevic, Dj., Gligorijevic, J., Flores, A.
  • 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), October 19-23, 2020, Virtual Event, Ireland
more
pdf

Bid Shading in The Brave New World of First-Price Auctions

  • 2020
  • Gligorijevic, Dj., Zhou, T., Shetty, B., Kitts, B., Pan, S., Pan, J., Flores, A.
  • 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), October 19-23, 2020, Virtual Event, Ireland
more
pdf

Bid Shading by Auction Clearing Price Prediction and Fast Surplus Maximization Search

  • 2020
  • Pan, S., Kitts, B., Zhou, T., He, H., Shetty, B., Flores, A., Gligorijevic, Dj., Pan, J., Mao, T., Gultekin, S., Zhang, J.
  • AdKDD workshop 2020 at the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020), San Diego, California, August 23, 2020
more
pdf

Time-Aware User Embeddings as a Service

  • 2020
  • Pavlovski, M., Gligorijevic, J., Stojkovic, I., Agrawal, S., Komirishetty, S., Gligorijevic, Dj., Bhamidipati, N., Obradovic, Z.
  • Proc. 26th ACM SIGKDD Conf. Knowledge Discovery and Data Mining (KDD 2020), San Diego, California, August 23, 2020
more
pdf

Time-Aware Prospective Modeling of Users for Online Display Advertising

  • 2019
  • Gligorijevic, Dj., Gligorijevic, J., Flores, A.
  • AdKDD workshop 2019 at the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), Anchorage, Alaska, August 5, 2019
more
pdf

Decomposition Based Reparameterization for Efficient Estimation of Sparse Gaussian Conditional Random Fields

  • 2019
  • Stojkovic, I., Jelisavcic, V., Gligorijevic, J., Gligorijevic, Dj., Obradovic, Z.
  • 36th International Conference on Machine Learning (ICML) Workshop on Tractable Probabilistic Modeling (TMP), Long Beach, CA, June 2019
more
pdf

Spatially Aware Ensemble-Based Learning to Predict Weather-Related Outages in Transmission

  • 2019
  • Dokic, T., Pavlovski, M., Gligorijevic, Dj., Kezunovic, M., Obradovic, Z.
  • Proc. 52nd IEEE Hawaii International Conference on System Science (HICSS 2018), Maui, Hawaii, January 2019.
more
pdf

Modeling Mobile User Actions for Purchase Recommendations using Deep Memory Networks

  • 2018
  • Gligorijevic, Dj., Gligorijevic, J., Raghuveer, A., Grbovic, M., Obradovic, Z.
  • Proc. 41st Int'l ACM SIGIR Conf. on Research and Development in Information Retrieval (SIGIR 2018), Ann Arbor, MI, July 2018.
more
pdf

Deep Attention Model for Triage of Emergency Department Patients

  • 2018
  • Gligorijevic, Dj.*, Stojanovic, J.*, Satz, W., Stojkovic, I., Schreyer, K., Del Portal, D., Obradovic, Z.
    * Authors contributed equally
  • Proc. 2018 SIAM International Conference on Data Mining (SDM 2018), San Diego, CA, May 2018.
more
pdf

Modeling Customer Engagement from Partial Observations

  • 2016
  • Stojanovic, J., Gligorijevic, Dj., Obradovic, Z.
  • Proc. 25th ACM International Conference on Information and Knowledge Management (CIKM 2016), Indianapolis, United States October 24 - 28, 2016
more
pdf

Uncertainty Propagation in Long-term Structured Regression on Evolving Networks

* code available

  • 2016
  • Gligorijevic, Dj., Stojanovic, J., Obradovic, Z.
  • Proc. 30th AAAI Conference on Artificial Intelligence (AAAI 2016), Phoenix, AZ, February 2016
more
pdf

Improving Confidence while Predicting Trends in Temporal Disease Networks

  • 2015
  • Gligorijevic, Dj., Stojanovic, J., Obradovic, Z.
  • Proc. 4th Workshop on Data Mining for Medicine and Healthcare, 2015 SIAM International Conference on Data Mining, Vancouver, Canada, April 30 - May 02, 2015
more
pdf

Semi-supervised learning for structured regression on partially observed attributed graphs

  • 2015
  • Stojanovic, J., Jovanovic, M., Gligorijevic, Dj., Obradovic, Z.
  • Proc. 2015 SIAM International Conference on Data Mining (SDM 2015), Vancouver, Canada, April 30 - May 02, 2015
more
pdf

Education

Temple University

Ph.D., Computer and Information Sciences

Center for Data Analytics and Biomedical Informatics, Department of Computer and Information Sciences, Temple University

Doctoral dissertation: “Predictive Uncertainty Quantification and Explainable Machine Learning in Healthcare“

Advisor: Prof. Zoran Obradovic

University of Belgrade

B.Sc., Information Systems and Technologies

Faculty of Organizational Sciences, University of Belgrade

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