Browsing by Subject "recommender systems"

Now showing items 1-5 of 5

    • Analyzing Deep Learning Algorithms for Recommender Systems 
      Gu, Tianyu
      As the volume of online information increases, recommender systems have been an effective strategy to overcome information overload by giving selective recommendations based on certain criteria such as user ratings and ...
    • Compatible Item Recommendation 
      Wei, Victoria; Nguyen, Kevin
      Item recommendation is an increasingly important research topic that focuses on analyzing the relationships between products to recommend items to users based on their preferences or previous activity. These systems are ...
    • Identifying Inequality in Recommendations: A Framework and Experimental Study 
      Kohli, Diva
      Recommender systems have become increasingly prevalent online within the last two decades and are used extensively on social media and networking platforms. We look at one such platform, LinkedIn, which serves the purpose ...
    • Toward Responsible Recommender Systems 
      Zhu, Ziwei (2022-06-03)
      Recommender systems have become essential conduits: they can shape the media we consume, the jobs we seek, and even the friendships and professional contacts that form our social circles. With such a wide usage and impact, ...
    • Unified Implicit and Explicit Feedback for Multi-Application User Interest Modeling 
      Jayarathna, Ukwatta Kankanamalage Sampath (2016-08-02)
      A user often interacts with multiple applications while working on a task. User models can be developed individually at each of the individual applications, but there is no easy way to come up with a more complete user ...