2022

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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, Atlanta, GA, USA, October 17-21, 2022

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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
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

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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
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

2020

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Do podcasts and music compete with one another? Understanding users' audio streaming habits
Ang Li | Alice Wang | Zahra Nazari | Praveen Chandar | Benjamin A. Carterette
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

2019

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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, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019

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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, SIGIR 2019, Paris, France, July 21-25, 2019

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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
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019

2018

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An Information Retrieval Framework for Contextual Suggestion Based on Heterogeneous Information Network Embeddings
Dominic Seyler | Praveen Chandar | Matthew Davis
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018

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Offline Comparative Evaluation with Incremental, Minimally-Invasive Online Feedback
Ben Carterette | Praveen Chandar
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018

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Estimating Clickthrough Bias in the Cascade Model
Praveen Chandar | Ben Carterette
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018

2015

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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, Santiago, Chile, August 9-13, 2015

2014

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Udel @ NTCIR-11 IMine Track
Ashraf Bah | Ben Carterette | Praveen Chandar
Proceedings of the 11th NTCIR Conference on Evaluation of Information Access Technologies, NTCIR-11, National Center of Sciences, Tokyo, Japan, December 9-12, 2014

2013

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Document features predicting assessor disagreement
Praveen Chandar | William Webber | Ben Carterette
The 36th International ACM SIGIR conference on research and development in Information Retrieval, SIGIR '13, Dublin, Ireland - July 28 - August 01, 2013

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Preference based evaluation measures for novelty and diversity
Praveen Chandar | Ben Carterette
The 36th International ACM SIGIR conference on research and development in Information Retrieval, SIGIR '13, Dublin, Ireland - July 28 - August 01, 2013

2012

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Using PageRank to infer user preferences
Praveen Chandar | Ben Carterette
The 35th International ACM SIGIR conference on research and development in Information Retrieval, SIGIR '12, Portland, OR, USA, August 12-16, 2012

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Using preference judgments for novel document retrieval
Praveen Chandar | Ben Carterette
The 35th International ACM SIGIR conference on research and development in Information Retrieval, SIGIR '12, Portland, OR, USA, August 12-16, 2012

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Alternative assessor disagreement and retrieval depth
William Webber | Praveen Chandar | Ben Carterette
21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012

2011

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Implicit Feedback and Document Filtering for Retrieval Over Query Sessions
Ben Carterette | Praveen Chandar
Proceedings of The Twentieth Text REtrieval Conference, TREC 2011, Gaithersburg, Maryland, USA, November 15-18, 2011

2010

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Diversification of search results using webgraphs
Praveen Chandar | Ben Carterette
Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2010, Geneva, Switzerland, July 19-23, 2010

2009

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Minimal Test Collections for Relevance Feedback
Ben Carterette | Praveen Chandar | Aparna Kailasam | Divya Muppaneni | Sree Lekha Thota
Proceedings of The Eighteenth Text REtrieval Conference, TREC 2009, Gaithersburg, Maryland, USA, November 17-20, 2009

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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, TREC 2009, Gaithersburg, Maryland, USA, November 17-20, 2009

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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, CIKM 2009, Hong Kong, China, November 2-6, 2009

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