1 publication

• Published Subscription 31 Oct 2023

  A Comprehensive Analysis of Context-aware Recommender Systems Implemented Across a Range of Domains

  By Muhammad Nadeem, Syeda Wajiha Zahra, Muhammad Nouman Abbasi, Ali Arshad, Saman Riaz, Waqas Ahmed

  Abstract: In many different fields, recommender systems are essential for helping users find pertinent and personalized material. Traditional recommender systems often underestimate the impact of contextual factors on user preferences. Context-aware recommender systems are a potential method that uses dynamic contextual data to increase recommendation accuracy and user satisfaction. This review paper examines the benefits of context-aware recommender systems in many fields and offers a detailed analysis of these systems. We …

  Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 9–19 Read article →