Adith Swaminathan
4 papers in the PaperMetrix corpus
Papers by this author
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Unbiased Comparative Evaluation of Ranking Functions
2016 · arXiv (Cornell University)
Eliciting relevance judgments for ranking evaluation is labor-intensive and costly, motivating careful selection of which documents to judge. Unlike traditional approaches that make this selection deterministically, probabilistic sampling has shown intriguing promise since it enables …
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How to Solve Contextual Goal-Oriented Problems with Offline Datasets?
2024 · arXiv (Cornell University)
We present a novel method, Contextual goal-Oriented Data Augmentation (CODA), which uses commonly available unlabeled trajectories and context-goal pairs to solve Contextual Goal-Oriented (CGO) problems. By carefully constructing an action-augmented MDP that is equivalent to …
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Recommendations as Treatments: Debiasing Learning and Evaluation
2016 · arXiv (Cornell University)
Most data for evaluating and training recommender systems is subject to selection biases, either through self-selection by the users or through the actions of the recommendation system itself. In this paper, we provide a principled …
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Unbiased Learning-to-Rank with Biased Feedback
2017
Implicit feedback (e.g., clicks, dwell times, etc.) is an abundant source of data in human-interactive systems. While implicit feedback has many advantages (e.g., it is inexpensive to collect, user centric, and timely), its inherent biases …