Skip to content
akaturk Academic measurement
Sign in Sign up

OpenAlex topic

Recommender Systems and Techniques

This page lists works and academicians tagged with an OpenAlex topic. It is not a YÖKSİS primary or secondary field.

OpenAlex 785 works 47 author topics

Works

785 works

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

    No abstract yet.

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

    No abstract yet.

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

    No abstract yet.

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

    No abstract yet.

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

    No abstract yet.

  6. A Systematic Study on the Recommender Systems in the E-Commerce 2020
    YÖKSİS SJR Q1 JCR Q2 OpenAlex top 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…

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

    No abstract yet.

  8. Developing a personalized recommendation system using a smart product service system based on unsupervised learning model 2021
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.6%

    No abstract yet.

  9. Software-hardware co-design for fast and scalable training of deep learning recommendation models 2022
    OpenAlex top 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…

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

    No abstract yet.

  11. Online Learning in Large-Scale Contextual Recommender Systems 2016
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 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…

  12. A collaborative filtering method based on artificial immune network 2009
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 98.8%

    No abstract yet.

Academicians

47 academicians