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The Effect of Feedback Granularity on Recommender Systems ...
ACM Digital Library
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由 L Peska 著作2022被引用 4 次 — Results indicate that decreasing feedback granularity may lead to changes in RS's performance w.r.t. nDCG for some recommending algorithms.
有關 The Effect of Feedback Granularity on Recommender Systems Performance. 的學術文章 | |
Multi-granularity Fatigue in Recommendation - Xie - 7 個引述 … recommender systems: survey and framework - Zangerle - 170 個引述 … effectiveness of explanations for recommender systems … - Tintarev - 430 個引述 | |
The Effect of Feedback Granularity on Recommender Systems ...
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The expectation was that higher feedback granularity will lead to increased values of metrics (namely nDCG). This was only partially confirmed in the evaluation ...
Application of covering rough granular computing model in ...
ScienceDirect.com
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ScienceDirect.com
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由 HC Yan 著作2022被引用 15 次 — Data sparseness will reduce the accuracy and diversity of collaborative filtering recommendation algorithms. In response to this problem, using granular ...
Review-based Recommender Systems: A Survey of ...
arXiv
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arXiv
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In this paper, we provide a comprehensive overview of the developments in review-based recommender systems over recent years.
(PDF) Modeling User Preferences in Recommender Systems
ResearchGate
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2024年10月22日 — In this article, we propose a classification framework for the use of explicit and implicit user feedback in recommender systems based on a set ...
Explaining recommender systems fairness and accuracy ...
ScienceDirect.com
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由 Y Deldjoo 著作2021被引用 73 次 — This work provides a systematic study on the impact of broadly chosen data characteristics (DCs) of recommender systems.
Breaking Feedback Loops in Recommender Systems with ...
arXiv
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arXiv
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由 K Krauth 著作2022被引用 21 次 — Recent work has shown that feedback loops may compromise recommendation quality and homogenize user behavior, raising ethical and performance ...
Do Recommender Systems Manipulate Consumer ...
INFORMS PubsOnline
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由 G Adomavicius 著作2013被引用 323 次 — Results provide strong evidence that the rating presented by a recommender system serves as an anchor for the consumer's constructed preference.
ceo21ckim/Awesome-Recsys
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2024年1月13日 — What We Evaluate When We Evaluate Recommender Systems: Understanding Recommender Systems' Performance using Item Response Theory · Identifying ...
Recommender Systems: From General Suggestions to ...
Medium
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Medium
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2023年8月19日 — Representation and Aggregation: The representation and aggregation of user actions significantly impact the accuracy of recommendations.
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