Probabilistic models of ranking novel documents for faceted topic retrieval. - Ben Carterette; Praveen Chandar (CIKM, 2009)

Minimal Test Collections for Relevance Feedback. - Ben Carterette; Praveen Chandar; Aparna Kailasam; Divya Muppaneni; Sree Lekha Thota (TREC, 2009)

Ad Hoc and Diversity Retrieval at the University of Delaware. - Praveen Chandar; Aparna Kailasam; Divya Muppaneni; Sree Lekha Thota; Ben Carterette (TREC, 2009)

Diversification of search results using webgraphs. - Praveen Chandar; Ben Carterette (SIGIR, 2010)

Implicit Feedback and Document Filtering for Retrieval Over Query Sessions. - Ben Carterette; Praveen Chandar (TREC, 2011)

Alternative assessor disagreement and retrieval depth. - William Webber; Praveen Chandar; Ben Carterette (CIKM, 2012)

Using preference judgments for novel document retrieval. - Praveen Chandar; Ben Carterette (SIGIR, 2012)

Using PageRank to infer user preferences. - Praveen Chandar; Ben Carterette (SIGIR, 2012)

Preference based evaluation measures for novelty and diversity. - Praveen Chandar; Ben Carterette (SIGIR, 2013)

Document features predicting assessor disagreement. - Praveen Chandar; William Webber; Ben Carterette (SIGIR, 2013)

Udel @ NTCIR-11 IMine Track. - Ashraf Bah; Ben Carterette; Praveen Chandar (NTCIR, 2014)

Document Comprehensiveness and User Preferences in Novelty Search Tasks. - Ashraf Bah; Praveen Chandar; Ben Carterette (SIGIR, 2015)

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 (INTERACT (2), 2017)

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 (CHI, 2018)

Estimating Clickthrough Bias in the Cascade Model. - Praveen Chandar; Ben Carterette (CIKM, 2018)

Offline Comparative Evaluation with Incremental, Minimally-Invasive Online Feedback. - Ben Carterette; Praveen Chandar (SIGIR, 2018)

An Information Retrieval Framework for Contextual Suggestion Based on Heterogeneous Information Network Embeddings. - Dominic Seyler; Praveen Chandar; Matthew Davis (SIGIR, 2018)

Developing Evaluation Metrics for Instant Search Using Mixed Methods Methods. - Praveen Chandar; Jean Garcia-Gathright; Christine Hosey; Brian St. Thomas; Jennifer Thom (SIGIR, 2019)

Offline Evaluation to Make Decisions About PlaylistRecommendation Algorithms. - Alois Gruson; Praveen Chandar; Christophe Charbuillet; James McInerney; Samantha Hansen; Damien Tardieu; Ben Carterette (WSDM, 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 (WWW, 2019)

Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions. - James McInerney; Brian Brost; Praveen Chandar; Rishabh Mehrotra; Benjamin A. Carterette (KDD, 2020)

Model Selection for Production System via Automated Online Experiments. - Zhenwen Dai; Praveen Chandar; Ghazal Fazelnia; Benjamin A. Carterette; Mounia Lalmas (NeurIPS, 2020)

The Engagement-Diversity Connection: Evidence from a Field Experiment on Spotify. - David Holtz; Ben Carterette; Praveen Chandar; Zahra Nazari; Henriette Cramer; Sinan Aral (EC, 2020)

Stochastic Variational Inference for Dynamic Correlated Topic Models. - Federico Tomasi; Praveen Chandar; Gal Levy-Fix; Mounia Lalmas-Roelleke; Zhenwen Dai (UAI, 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 (WWW, 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)

Neural Instant Search for Music and Podcast. - Helia Hashemi; Aasish Pappu; Mi Tian; Praveen Chandar; Mounia Lalmas; Benjamin A. Carterette (KDD, 2021)

Mixed Method Development of Evaluation Metrics. - Brian St. Thomas; Praveen Chandar; Christine Hosey; Fernando Diaz 001 (KDD, 2021)

On the Challenges of Podcast Search at Spotify. - Mi Tian; Claudia Hauff; Praveen Chandar (CIKM, 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 (WWW, 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 (WWW, 2022)

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; et al. (CIKM, 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 (ICTIR, 2023)

Machine Learning for Streaming Media. - Sudarshan Lamkhede; Praveen Chandar; Vladan Radosavljevic; Amit Goyal; Lan Luo (WWW (Companion Volume), 2023)

A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation. - Carlos Fernández-Loría; Foster J. Provost; Jesse Anderton; Benjamin A. Carterette; Praveen Chandar (Inf. Syst. Res., 2023)