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OpenAlex konusu

Recommender Systems and Techniques

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 693 eser 47 yazar konusu

Çalışmalar

693 eser

  1. A New Distributed Denial-of-Service (DDoS) Attacks Detection System Combining Multistage Auto-Encoders with Radial Basis Function (RBF) 2019
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    Özet henüz yok.

  2. Design and Implementation of a Prototype Data Mining Agent System 2019
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  3. A review on deep learning for recommender systems: challenges and remedies 2019
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.9%

    Özet henüz yok.

  4. A review on deep learning for recommender systems: challenges and remedies 2019
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.9%

    Özet henüz yok.

  5. Shilling attacks against recommender systems: a comprehensive survey 2012
    YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %1 OpenAlex 99.5%

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  6. Shilling attacks against recommender systems a comprehensive survey 2014
    YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %1 OpenAlex 99.5%

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  7. Shilling attacks against recommender systems a comprehensive survey 2014
    YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %1 OpenAlex 99.5%

    Özet henüz yok.

  8. A Systematic Study on the Recommender Systems in the E-Commerce 2020
    YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %1 OpenAlex 99.2%

    Electronic commerce or e-commerce includes the service and good exchange through electronic support like the Internet. It plays a crucial role in today's business and users' experience. Also, e-commerce platforms produce a vast amount of information. So, Recommender Systems (RSs) are a solution to overcome the informa…

  9. Meghdoot: Content-Based Publish/Subscribe over P2P Networks 2004
    YÖKSİS SJR Q2 JCR Q4 OpenAlex üst %10 OpenAlex 96.0%

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  10. Software-hardware co-design for fast and scalable training of deep learning recommendation models 2022
    OpenAlex üst %1 OpenAlex 99.8%

    Deep learning recommendation models (DLRMs) have been used across many business-critical services at Meta and are the single largest AI application in terms of infrastructure demand in its data-centers. In this paper, we present Neo, a software-hardware co-designed system for high-performance distributed training of l…

  11. The development of intuitive knowledge classifier and the modeling of domain dependent data 2013
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 97.5%

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  12. Online Learning in Large-Scale Contextual Recommender Systems 2016
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.2%

    In this paper, we propose a novel large-scale, context-aware recommender system that provides accurate recommendations, scalability to a large number of diverse users and items, differential services, and does not suffer from “cold start” problems. Our proposed recommendation system relies on a novel algorithm which l…

Akademisyenler

47 akademisyen