Recent Research Advances on Interactive Machine Learning

no code implementations • 12 Nov 2018 • Liu Jiang, Shixia Liu, Changjian Chen

Interactive Machine Learning (IML) is an iterative learning process that tightly couples a human with a machine learner, which is widely used by researchers and practitioners to effectively solve a wide variety of real-world application problems.

BIG-bench Machine Learning

Trinity: Syncretizing Multi-/Long-tail/Long-term Interests All in One

no code implementations • 5 Feb 2024 • Jing Yan, Liu Jiang, Jianfei Cui, Zhichen Zhao, Xingyan Bin, Feng Zhang, Zuotao Liu

Interest modeling in recommender system has been a constant topic for improving user experience, and typical interest modeling tasks (e. g. multi-interest, long-tail interest and long-term interest) have been investigated in many existing works.

Recommendation Systems