Praveen Chandar

According to our database, Praveen Chandar authored at least 34 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Machine Learning for Streaming Media.

Sudarshan Lamkhede, Praveen Chandar, Vladan Radosavljevic, Amit Goyal, Lan Luo

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

A is for Adele: An Offline Evaluation Metric for Instant Search.

Negar Arabzadeh, Oleksandra Kmet, Ben Carterette, Charles L. A. Clarke, Claudia Hauff, Praveen Chandar

Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, 2023

Graph Learning for Exploratory Query Suggestions in an Instant Search System.

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Choice of Implicit Signal Matters: Accounting for User Aspirations in Podcast Recommendations.

Zahra Nazari, Praveen Chandar, Ghazal Fazelnia, Catherine M. Edwards, Benjamin A. Carterette, Mounia Lalmas

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Using Survival Models to Estimate User Engagement in Online Experiments.

Praveen Chandar, Brian St. Thomas, Lucas Maystre, Vijay Pappu, Roberto Sanchis-Ojeda, Tiffany Wu, Ben Carterette, Mounia Lalmas, Tony Jebara

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

On the Challenges of Podcast Search at Spotify.

Mi Tian, Claudia Hauff, Praveen Chandar

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Mixed Method Development of Evaluation Metrics.

Brian St. Thomas, Praveen Chandar, Christine Hosey, Fernando Diaz

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Neural Instant Search for Music and Podcast.

Helia Hashemi, Aasish Pappu, Mi Tian, Praveen Chandar, Mounia Lalmas, Benjamin A. Carterette

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Methods for Individual Treatment Assignment: An Application and Comparison for Playlist Generation.

Carlos Fernandez, Foster J. Provost, Jesse Anderton, Benjamin A. Carterette, Praveen Chandar

CoRR, 2020

Do podcasts and music compete with one another? Understanding users' audio streaming habits.

Ang Li, Alice Wang, Zahra Nazari, Praveen Chandar, Benjamin A. Carterette

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Stochastic Variational Inference for Dynamic Correlated Topic Models.

Federico Tomasi, Praveen Chandar, Gal Levy-Fix, Mounia Lalmas-Roelleke, Zhenwen Dai

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

The Engagement-Diversity Connection: Evidence from a Field Experiment on Spotify.

David Holtz, Ben Carterette, Praveen Chandar, Zahra Nazari, Henriette Cramer, Sinan Aral

Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

Model Selection for Production System via Automated Online Experiments.

Zhenwen Dai, Praveen Chandar, Ghazal Fazelnia, Benjamin A. Carterette, Mounia Lalmas

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions.

James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, Benjamin A. Carterette

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Search Mindsets: Understanding Focused and Non-Focused Information Seeking in Music Search.

Ang Li, Jennifer Thom, Praveen Chandar, Christine Hosey, Brian St. Thomas, Jean Garcia-Gathright

Proceedings of the World Wide Web Conference, 2019

Offline Evaluation to Make Decisions About PlaylistRecommendation Algorithms.

Alois Gruson, Praveen Chandar, Christophe Charbuillet, James McInerney, Samantha Hansen, Damien Tardieu, Ben Carterette

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Developing Evaluation Metrics for Instant Search Using Mixed Methods Methods.

Praveen Chandar, Jean Garcia-Gathright, Christine Hosey, Brian St. Thomas, Jennifer Thom

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

2018

An Information Retrieval Framework for Contextual Suggestion Based on Heterogeneous Information Network Embeddings.

Dominic Seyler, Praveen Chandar, Matthew Davis

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Offline Comparative Evaluation with Incremental, Minimally-Invasive Online Feedback.

Ben Carterette, Praveen Chandar

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Estimating Clickthrough Bias in the Cascade Model.

Praveen Chandar, Ben Carterette

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

All Work and No Play?

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

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017

Leveraging Conversational Systems to Assists New Hires During Onboarding.

Praveen Chandar, Yasaman Khazaeni, Matthew Davis, Michael J. Muller, Marco Crasso, Q. Vera Liao, N. Sadat Shami, Werner Geyer

Proceedings of the Human-Computer Interaction - INTERACT 2017, 2017

2015

Document Comprehensiveness and User Preferences in Novelty Search Tasks.

Ashraf Bah, Praveen Chandar, Ben Carterette

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

2014

Udel @ NTCIR-11 IMine Track.

Ashraf Bah, Ben Carterette, Praveen Chandar

Proceedings of the 11th NTCIR Conference on Evaluation of Information Access Technologies, 2014

2013

Document features predicting assessor disagreement.

Praveen Chandar, William Webber, Ben Carterette

Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Preference based evaluation measures for novelty and diversity.

Praveen Chandar, Ben Carterette

Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

2012

Using PageRank to infer user preferences.

Praveen Chandar, Ben Carterette

Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Using preference judgments for novel document retrieval.

Praveen Chandar, Ben Carterette

Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Alternative assessor disagreement and retrieval depth.

William Webber, Praveen Chandar, Ben Carterette

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Implicit Feedback and Document Filtering for Retrieval Over Query Sessions.

Ben Carterette, Praveen Chandar

Proceedings of The Twentieth Text REtrieval Conference, 2011

2010

Diversification of search results using webgraphs.

Praveen Chandar, Ben Carterette

Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

2009

Ad Hoc and Diversity Retrieval at the University of Delaware.

Praveen Chandar, Aparna Kailasam, Divya Muppaneni, Sree Lekha Thota, Ben Carterette

Proceedings of The Eighteenth Text REtrieval Conference, 2009

Minimal Test Collections for Relevance Feedback.

Ben Carterette, Praveen Chandar, Aparna Kailasam, Divya Muppaneni, Sree Lekha Thota

Proceedings of The Eighteenth Text REtrieval Conference, 2009

Probabilistic models of ranking novel documents for faceted topic retrieval.

Ben Carterette, Praveen Chandar

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009