Now showing items 193-195 of 55045

    • Understanding and Scaling Collaborative Filtering Optimization from the Perspective of Matrix Rank 

      Loveland, Donald; Wu, Xinyi; Zhao, Tong; Koutra, Danai; Shah, Neil; e.a. (ACM|Proceedings of the ACM Web Conference 2025, 2025-04-22)
      Collaborative Filtering (CF) methods dominate real-world recommender systems given their ability to learn high-quality, sparse ID-embedding tables that effectively capture user preferences. These tables scale linearly with ...
    • Unified and Generalizable Reinforcement Learning for Facility Location Problems on Graphs 

      Guo, Wenxuan; Wang, Runzhong; Xu, Yanyan; Jin, Yaohui (ACM|Proceedings of the ACM Web Conference 2025, 2025-04-22)
      Facility location problems on graphs are ubiquitous in the real world and hold significant importance, yet their resolution is often impeded by NP-hardness. MIP solvers can find the optimal solutions but fail to handle ...
    • Paratrouper: Exploratory Creation of Character Cast Visuals Using Generative AI 

      Leong, Joanne; Ledo, David; Driscoll, Thomas; Grossman, Tovi; Fitzmaurice, George; e.a. (ACM|CHI Conference on Human Factors in Computing Systems, 2025-04-25)
      Great characters are critical to the success of many forms of media, such as comics, games, and films. Designing visually compelling casts of characters requires significant skill and consideration, and there is a lack of ...