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20092026
most citedInterpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking

122 citations · 457 across the 42 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.IR2024★ 4 cited

PODTILE: Facilitating Podcast Episode Browsing with Auto-generated Chapters

Azin Ghazimatin, Ekaterina Garmash, Gustavo Penha +14

Listeners of long-form talk-audio content, such as podcast episodes, often find it challenging to understand the overall structure and locate relevant sections. A practical solutio…

cs.IR2024★ 3 cited

Prompt-to-Slate: Diffusion Models for Prompt-Conditioned Slate Generation

Federico Tomasi, Francesco Fabbri, Justin Carter +3

Slate generation is a common task in streaming and e-commerce platforms, where multiple items are presented together as a list or ``slate''. Traditional systems focus mostly on ite…

cs.LG2024

Long-term Off-Policy Evaluation and Learning

Yuta Saito, Himan Abdollahpouri, Jesse Anderton +2

Short- and long-term outcomes of an algorithm often differ, with damaging downstream effects. A known example is a click-bait algorithm, which may increase short-term clicks but da…

cs.IR2024

Towards Graph Foundation Models for Personalization

Andreas Damianou, Francesco Fabbri, Paul Gigioli +4

In the realm of personalization, integrating diverse information sources such as consumption signals and content-based representations is becoming increasingly critical to build st…

cs.IR2024

Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks

Marco De Nadai, Francesco Fabbri, Paul Gigioli +11

In the ever-evolving digital audio landscape, Spotify, well-known for its music and talk content, has recently introduced audiobooks to its vast user base. While promising, this mo…

cs.IR2024

Generalized User Representations for Transfer Learning

Ghazal Fazelnia, Sanket Gupta, Claire Keum +3

We present a novel framework for user representation in large-scale recommender systems, aiming at effectively representing diverse user taste in a generalized manner. Our approach…

cs.CE2024

ForTune: Running Offline Scenarios to Estimate Impact on Business Metrics

Georges Dupret, Konstantin Sozinov, Carmen Barcena Gonzalez +9

Making ideal decisions as a product leader in a web-facing company is extremely difficult. In addition to navigating the ambiguity of customer satisfaction and achieving business g…