Jesse Anderton

Orcid: 0000-0003-0405-2441

According to our database1, Jesse Anderton authored at least 15 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Calibrated Recommendations as a Minimum-Cost Flow Problem.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022
Identifying New Podcasts with High General Appeal Using a Pure Exploration Infinitely-Armed Bandit Strategy.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Time after Time: Longitudinal Trends in Nostalgic Listening.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

2021
Target-aware Aggregate Diversification in Recommendation.
Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021

2020
Methods for Individual Treatment Assignment: An Application and Comparison for Playlist Generation.
CoRR, 2020

2019
Scaling Up Ordinal Embedding: A Landmark Approach.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Adaptively Pruning Features for Boosted Decision Trees.
CoRR, 2018

Revealing the Basis: Ordinal Embedding Through Geometry.
CoRR, 2018

Measuring Human-perceived Similarity in Heterogeneous Collections.
CoRR, 2018

Pure Exploration in Infinitely-Armed Bandit Models with Fixed-Confidence.
Proceedings of the Algorithmic Learning Theory, 2018

2013
Northeastern University Runs at the TREC13 Crowdsourcing Track.
Proceedings of The Twenty-Second Text REtrieval Conference, 2013

A document rating system for preference judgements.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

A Modification of LambdaMART to Handle Noisy Crowdsourced Assessments.
Proceedings of the International Conference on the Theory of Information Retrieval, 2013

An analysis of crowd workers mistakes for specific and complex relevance assessment task.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Northeastern University Runs at the TREC12 Crowdsourcing Track.
Proceedings of The Twenty-First Text REtrieval Conference, 2012


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