Praveen Chandar

42 papers A* 19A 8Misc 1Journal 8Unranked 6

Year	Rank	Type	Title / 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	J	`jnl`	Do LLM-judges Align with Human Relevance in Cranfield-style Recommender Evaluation? CoRR Gustavo Penha, Aleksandr V. Petrov, Claudia Hauff, Enrico Palumbo, Ali Vardasbi, Edoardo D'Amico, Francesco Fabbri, Alice Wang, Praveen Chandar, Henrik Lindström, Hugues Bouchard, Mounia Lalmas
2023	J	`jnl`	A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation. Inf. Syst. Res. Carlos Fernández-Loría, Foster J. Provost, Jesse Anderton, Benjamin A. Carterette, Praveen Chandar
2023	Misc	`conf`	A is for Adele: An Offline Evaluation Metric for Instant Search. ICTIR Negar Arabzadeh, Oleksandra Kmet, Ben Carterette, Charles L. A. Clarke, Claudia Hauff, Praveen Chandar
2023	A	`conf`	Graph Learning for Exploratory Query Suggestions in an Instant Search System. CIKM Enrico Palumbo, Andreas Damianou, Alice Wang, Alva Liu, Ghazal Fazelnia, Francesco Fabbri, Rui Ferreira, Fabrizio Silvestri, Hugues Bouchard, Claudia Hauff, Mounia Lalmas, Ben Carterette, Praveen Chandar, David Nyhan
2023	—	`conf`	Machine Learning for Streaming Media. WWW (Companion Volume) Sudarshan Lamkhede, Praveen Chandar, Vladan Radosavljevic, Amit Goyal, Lan Luo
2022	A*	`conf`	Choice of Implicit Signal Matters: Accounting for User Aspirations in Podcast Recommendations. WWW Zahra Nazari, Praveen Chandar, Ghazal Fazelnia, Catherine M. Edwards, Benjamin A. Carterette, Mounia Lalmas
2022	A	`conf`	On the Challenges of Podcast Search at Spotify. CIKM Mi Tian, Claudia Hauff, Praveen Chandar
2022	A*	`conf`	Using Survival Models to Estimate User Engagement in Online Experiments. WWW Praveen Chandar, Brian St. Thomas, Lucas Maystre, Vijay Pappu, Roberto Sanchis-Ojeda, Tiffany Wu, Ben Carterette, Mounia Lalmas, Tony Jebara
2021	A*	`conf`	Mixed Method Development of Evaluation Metrics. KDD Brian St. Thomas, Praveen Chandar, Christine Hosey, Fernando Diaz
2021	J	`jnl`	Model Selection for Production System via Automated Online Experiments. CoRR Zhenwen Dai, Praveen Chandar, Ghazal Fazelnia, Ben Carterette, Mounia Lalmas-Roelleke
2021	A*	`conf`	Neural Instant Search for Music and Podcast. KDD Helia Hashemi, Aasish Pappu, Mi Tian, Praveen Chandar, Mounia Lalmas, Benjamin A. Carterette
2020	A*	`conf`	Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions. KDD James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, Benjamin A. Carterette
2020	J	`jnl`	Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions. CoRR James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, Ben Carterette
2020	A*	`conf`	Do podcasts and music compete with one another? Understanding users' audio streaming habits. WWW Ang Li, Alice Wang, Zahra Nazari, Praveen Chandar, Benjamin A. Carterette
2020	J	`jnl`	Methods for Individual Treatment Assignment: An Application and Comparison for Playlist Generation. CoRR Carlos Fernandez, Foster J. Provost, Jesse Anderton, Benjamin A. Carterette, Praveen Chandar
2020	A*	`conf`	Model Selection for Production System via Automated Online Experiments. NeurIPS Zhenwen Dai, Praveen Chandar, Ghazal Fazelnia, Benjamin A. Carterette, Mounia Lalmas
2020	A	`conf`	Stochastic Variational Inference for Dynamic Correlated Topic Models. UAI Federico Tomasi, Praveen Chandar, Gal Levy-Fix, Mounia Lalmas-Roelleke, Zhenwen Dai
2020	A*	`conf`	The Engagement-Diversity Connection: Evidence from a Field Experiment on Spotify. EC David Holtz, Ben Carterette, Praveen Chandar, Zahra Nazari, Henriette Cramer, Sinan Aral
2020	J	`jnl`	The Engagement-Diversity Connection: Evidence from a Field Experiment on Spotify. CoRR David Holtz, Benjamin A. Carterette, Praveen Chandar, Zahra Nazari, Henriette Cramer, Sinan Aral
2019	A*	`conf`	Developing Evaluation Metrics for Instant Search Using Mixed Methods Methods. SIGIR Praveen Chandar, Jean Garcia-Gathright, Christine Hosey, Brian St. Thomas, Jennifer Thom
2019	A	`conf`	Offline Evaluation to Make Decisions About PlaylistRecommendation Algorithms. WSDM Alois Gruson, Praveen Chandar, Christophe Charbuillet, James McInerney, Samantha Hansen, Damien Tardieu, Ben Carterette
2019	A*	`conf`	Search Mindsets: Understanding Focused and Non-Focused Information Seeking in Music Search. WWW Ang Li, Jennifer Thom, Praveen Chandar, Christine Hosey, Brian St. Thomas, Jean Garcia-Gathright
2018	A*	`conf`	All Work and No Play? CHI Q. Vera Liao, Muhammed Mas-ud Hussain, Praveen Chandar, Matthew Davis, Yasaman Khazaeni, Marco Patricio Crasso, Dakuo Wang, Michael J. Muller, N. Sadat Shami, Werner Geyer
2018	A*	`conf`	An Information Retrieval Framework for Contextual Suggestion Based on Heterogeneous Information Network Embeddings. SIGIR Dominic Seyler, Praveen Chandar, Matthew Davis
2018	A	`conf`	Estimating Clickthrough Bias in the Cascade Model. CIKM Praveen Chandar, Ben Carterette
2018	A*	`conf`	Offline Comparative Evaluation with Incremental, Minimally-Invasive Online Feedback. SIGIR Ben Carterette, Praveen Chandar
2017	—	`conf`	Leveraging Conversational Systems to Assists New Hires During Onboarding. INTERACT (2) Praveen Chandar, Yasaman Khazaeni, Matthew Davis, Michael J. Muller, Marco Crasso, Q. Vera Liao, N. Sadat Shami, Werner Geyer
2015	A*	`conf`	Document Comprehensiveness and User Preferences in Novelty Search Tasks. SIGIR Ashraf Bah, Praveen Chandar, Ben Carterette
2014	—	`conf`	Udel @ NTCIR-11 IMine Track. NTCIR Ashraf Bah, Ben Carterette, Praveen Chandar
2013	A*	`conf`	Document features predicting assessor disagreement. SIGIR Praveen Chandar, William Webber, Ben Carterette
2013	A*	`conf`	Preference based evaluation measures for novelty and diversity. SIGIR Praveen Chandar, Ben Carterette
2012	A	`conf`	Alternative assessor disagreement and retrieval depth. CIKM William Webber, Praveen Chandar, Ben Carterette
2012	A*	`conf`	Using PageRank to infer user preferences. SIGIR Praveen Chandar, Ben Carterette
2012	A*	`conf`	Using preference judgments for novel document retrieval. SIGIR Praveen Chandar, Ben Carterette
2011	—	`conf`	Implicit Feedback and Document Filtering for Retrieval Over Query Sessions. TREC Ben Carterette, Praveen Chandar
2010	A*	`conf`	Diversification of search results using webgraphs. SIGIR Praveen Chandar, Ben Carterette
2009	—	`conf`	Ad Hoc and Diversity Retrieval at the University of Delaware. TREC Praveen Chandar, Aparna Kailasam, Divya Muppaneni, Sree Lekha Thota, Ben Carterette
2009	—	`conf`	Minimal Test Collections for Relevance Feedback. TREC Ben Carterette, Praveen Chandar, Aparna Kailasam, Divya Muppaneni, Sree Lekha Thota
2009	A	`conf`	Probabilistic models of ranking novel documents for faceted topic retrieval. CIKM Ben Carterette, Praveen Chandar