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New research tackles carousel recommendation evaluation challenges · 2 sources tracked

By PulseAugur Editorial · [2 sources] ·

Two new research papers submitted to arXiv address the challenges of evaluating recommendation systems within carousel interfaces. The first paper focuses on developing a click modeling framework that accounts for the unique two-dimensional layout of carousels, aiming to improve policy evaluation from logged interaction data. The second paper revisits and reformulates the N2DCG metric, proposing improvements to better reflect user browsing behavior and accurately predict carousel layout performance based on empirical data and eye-tracking studies. AI

IMPACT These papers propose improved methods for evaluating carousel recommendation systems, potentially leading to more effective user engagement and personalized content delivery in such interfaces.

RANK_REASON Two academic papers published on arXiv detailing new methods for evaluating carousel recommendation systems.

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New research tackles carousel recommendation evaluation challenges · 2 sources tracked

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Two academic papers published on arXiv detailing new methods for evaluating carousel recommendation systems.
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COVERAGE [2]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Jingwei Kang ·

    From Click Modeling to Offline and Off-Policy Evaluation in Carousel Recommendation

    Carousel interfaces are widely used in modern recommendation systems. Unlike traditional interfaces that present a single ranked list, carousels simultaneously present several ranked lists to the user, as horizontally swipeable rows stacked on top of each other. In this design, t…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Harrie Oosterhuis ·

    Revisiting N2DCG: An Empirically Grounded Reformulation of Carousel Recommendation Evaluation

    Carousel interfaces have been widely used in video and music streaming services, yet it remains unclear how to properly evaluate recommender systems in these two-dimensional layouts. N2DCG has been proposed to address this gap by adapting NDCG to carousel-based recommendation, bu…

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