Vladan Radosavljevic

71 papers A* 16A 11B 1C 2Journal 21Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Unified Language Model for Large Scale Search, Recommendation, and Reasoning.
CoRR
Marco De Nadai, Edoardo D'Amico, Max Lefarov, Alexandre Tamborrino, Divita Vohra, Mark VanMiddlesworth, Shawn Lin, Jacqueline Wood, Jan Stypka, Eliza Klyce, Keshi Dai, Timothy Christopher Heath, Martin D. Gould, Yves Raimond, Sandeep Ghael, Tony Jebara, Andreas Damianou, Vladan Radosavljevic, Paul N. Bennett, Mounia Lalmas, Praveen Chandar
2026 J jnl
Deploying Semantic ID-based Generative Retrieval for Large-Scale Podcast Discovery at Spotify.
CoRR
Edoardo D'Amico, Marco De Nadai, Praveen Chandar, Divita Vohra, Shawn Lin, Max Lefarov, Paul Gigioli, Gustavo Penha, Ilya Kopysitsky, Ivo Joel Senese, Darren Mei, Francesco Fabbri, Oguz Semerci, Yu Zhao, Vincent Tang, Brian St. Thomas, Alexandra Ranieri, Matthew N. K. Smith, Aaron Bernkopf, Bryan Leung, Ghazal Fazelnia, Mark VanMiddlesworth, Timothy Christopher Heath, Petter Pehrson Skidén, Alice Y. Wang, Doug J. Cole, Andreas Damianou, Maya Hristakeva, Reid Wilbur, Tarun Chillara, Vladan Radosavljevic, Pooja Chitkara, Sainath Adapa, Juan Elenter, Bernd Huber, Jacqueline Wood, Saaketh Vedantam, Jan Stypka, Sandeep Ghael, Martin D. Gould, David Murgatroyd, Yves Raimond, Mounia Lalmas, Paul N. Bennett
2026 A conf
GenAI4SM: Generative AI for Streaming Media.
WSDM
Amit Goyal, Vladan Radosavljevic, Sudarshan Lamkhede, Praveen Chandar, Arnab Bhadury, Tao Ye
2025 — conf
AdKDD 2025.
KDD (2)
Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan
2025 — conf
TSMO 2025: Two-sided Marketplace Optimization: Search, Discovery, Matching, Pricing & Growth.
KDD (2)
Mihajlo Grbovic, Vladan Radosavljevic, Amit Goyal, Rui Song, Minmin Chen, Zhiwei Qin, Katerina Iliakopoulou-Zanos, Thanasis Noulas, Hongtu Zhu, Fabrizio Silvestri
2024 A* conf
AdKDD 2024.
KDD
Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan
2024 — conf
Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks.
WWW (Companion Volume)
Marco De Nadai, Francesco Fabbri, Paul Gigioli, Alice Wang, Ang Li, Fabrizio Silvestri, Laura Kim, Shawn Lin, Vladan Radosavljevic, Sandeep Ghael, David Nyhan, Hugues Bouchard, Mounia Lalmas, Andreas Damianou
2024 J jnl
Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks.
CoRR
Marco De Nadai, Francesco Fabbri, Paul Gigioli, Alice Wang, Ang Li, Fabrizio Silvestri, Laura Kim, Shawn Lin, Vladan Radosavljevic, Sandeep Ghael, David Nyhan, Hugues Bouchard, Mounia Lalmas-Roelleke, Andreas Damianou
2024 — ed.
Proceedings of the Workshop on Data Mining for Online Advertising (AdKDD 2024) co-located with the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), Barcelona, Spain, August 25, 2024.
AdKDD@KDD
Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan
2024 A* conf
TSMO 2024: Two-sided Marketplace Optimization.
KDD
Mihajlo Grbovic, Vladan Radosavljevic, Minmin Chen, Katerina Iliakopoulou-Zanos, Thanasis Noulas, Amit Goyal, Fabrizio Silvestri
2023 A* conf
AdKDD 2023.
KDD
Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan
2023 — conf
Machine Learning for Streaming Media.
WWW (Companion Volume)
Sudarshan Lamkhede, Praveen Chandar, Vladan Radosavljevic, Amit Goyal, Lan Luo
2023 — ed.
Proceedings of the Workshop on Data Mining for Online Advertising (AdKDD 2023) co-located with the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), Long Beach, CA, USA, August 7, 2023.
AdKDD@KDD
Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan
2022 A* conf
AdKDD 2022.
KDD
Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Wei Liu, Linsey Pang, Vladan Radosavljevic, Suju Rajan, Kexin Xie
2021 A* conf
AdKDD 2021.
KDD
Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Vladan Radosavljevic, Suju Rajan
2021 A conf
Multi-Modal Trajectory Prediction of NBA Players.
WACV
Sandro Hauri, Nemanja Djuric, Vladan Radosavljevic, Slobodan Vucetic
2020 J jnl
Multi-Modal Trajectory Prediction of NBA Players.
CoRR
Sandro Hauri, Nemanja Djuric, Vladan Radosavljevic, Slobodan Vucetic
2020 A conf
PodRecs: Workshop on Podcast Recommendations.
RecSys
Ching-Wei Chen, Longqi Yang, Hongyi Wen, Rosie Jones, Vladan Radosavljevic, Hugues Bouchard
2020 C conf
Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets.
IV
Fang-Chieh Chou, Tsung-Han Lin, Henggang Cui, Vladan Radosavljevic, Thi Nguyen, Tzu-Kuo Huang, Matthew Niedoba, Jeff Schneider, Nemanja Djuric
2020 A conf
Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving.
WACV
Nemanja Djuric, Vladan Radosavljevic, Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Nitin Singh, Jeff Schneider
2019 A conf
Homepage personalization at spotify.
RecSys
Oguz Semerci, Alois Gruson, Catherine M. Edwards, Ben Lacker, Clay Gibson, Vladan Radosavljevic
2019 A* conf
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks.
ICRA
Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, Thi Nguyen, Tzu-Kuo Huang, Jeff Schneider, Nemanja Djuric
2019 J jnl
Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets.
CoRR
Fang-Chieh Chou, Tsung-Han Lin, Henggang Cui, Vladan Radosavljevic, Thi Nguyen, Tzu-Kuo Huang, Matthew Niedoba, Jeff Schneider, Nemanja Djuric
2018 J jnl
Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks.
CoRR
Nemanja Djuric, Vladan Radosavljevic, Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Jeff Schneider
2018 J jnl
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks.
CoRR
Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, Thi Nguyen, Tzu-Kuo Huang, Jeff Schneider, Nemanja Djuric
2017 — conf
Analyzing Uber's Ride-sharing Economy.
WWW (Companion Volume)
Farshad Kooti, Mihajlo Grbovic, Luca Maria Aiello, Nemanja Djuric, Vladan Radosavljevic, Kristina Lerman
2017 J jnl
Modeling Healthcare Quality via Compact Representations of Electronic Health Records.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jelena Stojanovic, Djordje Gligorijevic, Vladan Radosavljevic, Nemanja Djuric, Mihajlo Grbovic, Zoran Obradovic
2017 J jnl
Proceedings of the 2017 AdKDD & TargetAd Workshop.
CoRR
Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Vladan Radosavljevic, Suju Rajan
2016 J jnl
E-commerce in Your Inbox: Product Recommendations at Scale.
CoRR
Mihajlo Grbovic, Vladan Radosavljevic, Nemanja Djuric, Narayan Bhamidipati, Jaikit Savla, Varun Bhagwan, Doug Sharp
2016 J jnl
Gender and Interest Targeting for Sponsored Post Advertising at Tumblr.
CoRR
Mihajlo Grbovic, Vladan Radosavljevic, Nemanja Djuric, Narayan Bhamidipati, Ananth Nagarajan
2016 J jnl
Hierarchical Neural Language Models for Joint Representation of Streaming Documents and their Content.
CoRR
Nemanja Djuric, Hao Wu, Vladan Radosavljevic, Mihajlo Grbovic, Narayan Bhamidipati
2016 — conf
Leveraging Blogging Activity on Tumblr to Infer Demographics and Interests of Users for Advertising Purposes.
#Microposts
Mihajlo Grbovic, Vladan Radosavljevic, Nemanja Djuric, Narayan Bhamidipati, Ananth Nagarajan
2016 A conf
Network-Efficient Distributed Word2vec Training System for Large Vocabularies.
CIKM
Erik Ordentlich, Lee Yang, Andy Feng, Peter Cnudde, Mihajlo Grbovic, Nemanja Djuric, Vladan Radosavljevic, Gavin Owens
2016 J jnl
Network-Efficient Distributed Word2vec Training System for Large Vocabularies.
CoRR
Erik Ordentlich, Lee Yang, Andy Feng, Peter Cnudde, Mihajlo Grbovic, Nemanja Djuric, Vladan Radosavljevic, Gavin Owens
2016 J jnl
Non-linear Label Ranking for Large-scale Prediction of Long-Term User Interests.
CoRR
Nemanja Djuric, Mihajlo Grbovic, Vladan Radosavljevic, Narayan Bhamidipati, Slobodan Vucetic
2016 A conf
Portrait of an Online Shopper: Understanding and Predicting Consumer Behavior.
WSDM
Farshad Kooti, Kristina Lerman, Luca Maria Aiello, Mihajlo Grbovic, Nemanja Djuric, Vladan Radosavljevic
2016 A* conf
Scalable Semantic Matching of Queries to Ads in Sponsored Search Advertising.
SIGIR
Mihajlo Grbovic, Nemanja Djuric, Vladan Radosavljevic, Fabrizio Silvestri, Ricardo Baeza-Yates, Andrew Feng, Erik Ordentlich, Lee Yang, Gavin Owens
2016 J jnl
Scalable Semantic Matching of Queries to Ads in Sponsored Search Advertising.
CoRR
Mihajlo Grbovic, Nemanja Djuric, Vladan Radosavljevic, Fabrizio Silvestri, Ricardo Baeza-Yates, Andrew Feng, Erik Ordentlich, Lee Yang, Gavin Owens
2016 — conf
Smartphone App Categorization for Interest Targeting in Advertising Marketplace.
WWW (Companion Volume)
Vladan Radosavljevic, Mihajlo Grbovic, Nemanja Djuric, Narayan Bhamidipati, Daneo Zhang, Jack Wang, Jiankai Dang, Haiying Huang, Ananth Nagarajan, Peiji Chen
2016 A conf
TargetAd2016: 2nd International Workshop on Ad Targeting at Scale.
WSDM
Mihajlo Grbovic, Nemanja Djuric, Vladan Radosavljevic
2016 — conf
Travel the World: Analyzing and Predicting Booking Behavior using E-mail Travel Receipts.
WWW (Companion Volume)
Nemanja Djuric, Mihajlo Grbovic, Vladan Radosavljevic, Jaikit Savla, Varun Bhagwan, Doug Sharp
2016 J jnl
Travel the World: Analyzing and Predicting Booking Behavior using E-mail Travel Receipts.
CoRR
Nemanja Djuric, Mihajlo Grbovic, Vladan Radosavljevic, Jaikit Savla, Varun Bhagwan, Doug Sharp
2015 A* conf
Context- and Content-aware Embeddings for Query Rewriting in Sponsored Search.
SIGIR
Mihajlo Grbovic, Nemanja Djuric, Vladan Radosavljevic, Fabrizio Silvestri, Narayan Bhamidipati
2015 A* conf
E-commerce in Your Inbox: Product Recommendations at Scale.
KDD
Mihajlo Grbovic, Vladan Radosavljevic, Nemanja Djuric, Narayan Bhamidipati, Jaikit Savla, Varun Bhagwan, Doug Sharp
2015 J jnl
Gaussian Conditional Random Fields for Aggregation of Operational Aerosol Retrievals.
IEEE Geosci. Remote. Sens. Lett.
Nemanja Djuric, Vladan Radosavljevic, Zoran Obradovic, Slobodan Vucetic
2015 A* conf
Gender and Interest Targeting for Sponsored Post Advertising at Tumblr.
KDD
Mihajlo Grbovic, Vladan Radosavljevic, Nemanja Djuric, Narayan Bhamidipati, Ananth Nagarajan
2015 — conf
Hate Speech Detection with Comment Embeddings.
WWW (Companion Volume)
Nemanja Djuric, Jing Zhou, Robin Morris, Mihajlo Grbovic, Vladan Radosavljevic, Narayan Bhamidipati
2015 A* conf
Hierarchical Neural Language Models for Joint Representation of Streaming Documents and their Content.
WWW
Nemanja Djuric, Hao Wu, Vladan Radosavljevic, Mihajlo Grbovic, Narayan Bhamidipati
2015 — conf
Large-scale Contextual Query-to-Ad Matching and Retrieval System for Sponsored Search: (Abstract).
WWW (Companion Volume)
Ricardo Baeza-Yates, Nemanja Djuric, Mihajlo Grbovic, Vladan Radosavljevic, Fabrizio Silvestri
2015 J jnl
Portrait of an Online Shopper: Understanding and Predicting Consumer Behavior.
CoRR
Farshad Kooti, Kristina Lerman, Luca Maria Aiello, Mihajlo Grbovic, Nemanja Djuric, Vladan Radosavljevic
2015 — conf
Search Retargeting using Directed Query Embeddings.
WWW (Companion Volume)
Mihajlo Grbovic, Nemanja Djuric, Vladan Radosavljevic, Narayan Bhamidipati
2015 — conf
queryCategorizr: A Large-Scale Semi-Supervised System for Categorization of Web Search Queries.
WWW (Companion Volume)
Mihajlo Grbovic, Nemanja Djuric, Vladan Radosavljevic, Narayan Bhamidipati, Jordan Hawker, Caleb Johnson
2014 A* conf
Hidden Conditional Random Fields with Deep User Embeddings for Ad Targeting.
ICDM
Nemanja Djuric, Vladan Radosavljevic, Mihajlo Grbovic, Narayan Bhamidipati
2014 — conf
Neural Gaussian Conditional Random Fields.
ECML/PKDD (2)
Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic
2014 A* conf
Non-Linear Label Ranking for Large-Scale Prediction of Long-Term User Interests.
AAAI
Nemanja Djuric, Mihajlo Grbovic, Vladan Radosavljevic, Narayan Bhamidipati, Slobodan Vucetic
2014 J jnl
Panning for gold: using variograms to select useful connections in a temporal multigraph setting.
Soc. Netw. Anal. Min.
Alexey Uversky, Dusan Ramljak, Vladan Radosavljevic, Kosta Ristovski, Zoran Obradovic
2014 A* conf
Utilizing temporal patterns for estimating uncertainty in interpretable early decision making.
KDD
Mohamed F. Ghalwash, Vladan Radosavljevic, Zoran Obradovic
2013 A* conf
Continuous Conditional Random Fields for Efficient Regression in Large Fully Connected Graphs.
AAAI
Kosta Ristovski, Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic
2013 — conf
Early Diagnosis and Its Benefits in Sepsis Blood Purification Treatment.
ICHI
Mohamed F. Ghalwash, Vladan Radosavljevic, Zoran Obradovic
2013 A* conf
Extraction of Interpretable Multivariate Patterns for Early Diagnostics.
ICDM
Mohamed F. Ghalwash, Vladan Radosavljevic, Zoran Obradovic
2013 B conf
Which links should I use?: a variogram-based selection of relationship measures for prediction of node attributes in temporal multigraphs.
ASONAM
Alexey Uversky, Dusan Ramljak, Vladan Radosavljevic, Kosta Ristovski, Zoran Obradovic
2012 — conf
A data mining approach for optimization of acute inflammation therapy.
BIBM
Vladan Radosavljevic, Kosta Ristovski, Zoran Obradovic
2012 C conf
Multi-dimensional coherence deblending of simultaneous sources.
IGARSS
Heiko Claussen, Vladan Radosavljevic, Justinian Rosca
2010 J jnl
A Data-Mining Technique for Aerosol Retrieval Across Multiple Accuracy Measures.
IEEE Geosci. Remote. Sens. Lett.
Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic
2010 A conf
Continuous Conditional Random Fields for Regression in Remote Sensing.
ECAI
Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic
2010 — conf
Predicting Ground-based Aerosol Optical Depth with Satellite Images Via Gaussian Processes.
KDIR
Goo Jun, Joydeep Ghosh, Vladan Radosavljevic, Zoran Obradovic
2009 — conf
Reduction of ground-based sensor sites for spatio-temporal analysis of aerosols.
KDD Workshop on Knowledge Discovery from Sensor Data
Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic
2008 A conf
Aerosol Optical Depth Prediction from Satellite Obsercations by Multiple Instance Regression.
SDM
Zhuang Wang, Vladan Radosavljevic, Bo Han, Zoran Obradovic
2008 — conf
Reducing Need for Collocated Ground and Satellite based Observations in Statistical Aerosol Optical Depth Estimation.
IGARSS (2)
Debasish Das, Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic
2008 A conf
Spatio-Temporal Partitioning for Improving Aerosol Prediction Accuracy.
SDM
Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic
2007 J jnl
Accelerating of Image Retrieval in CBIR System with Relevance Feedback.
EURASIP J. Adv. Signal Process.
Goran Zajic, Nenad Kojic, Vladan Radosavljevic, Maja Rudinac, Stevan Rudinac, Nikola Reljin, Irini Reljin, Branimir Reljin