Short Video Recommendation Algorithms Forum
A forum discussing frontiers in short video recommendation algorithms, featuring academic research from Kuaishou and collaborations with universities, including topics like reinforcement learning and graph neural networks for personalized recommendations.
This document details the CIR-Kuaishou Academic Forum held on November 23, 2023, focusing on cutting-edge research in short video recommendation algorithms. The event included sessions on reinforcement learning, graph neural networks, and user interest modeling, with presentations from Kuaishou researchers and academic partners. Key highlights include papers presented at top conferences like SIGIR and KDD, as well as innovations in CTR prediction and lifelong user behavior modeling.
The forum covered technical challenges in recommendation systems, such as alleviating the Matthew effect in reinforcement learning and disentangled search representations for recommendation. It also featured a Kuaishou campus recruitment event following the academic sessions.
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