Huawei's vision and mission is to build a fully connected intelligent world. Since 2013, Huawei Noah's Ark Lab has helped many products build recommender systems and search engines for getting the right information to the right users. Every day, our recommender systems serve hundreds of millions of mobile phone users and recommend different kinds of content and services such as apps, news feeds, songs, videos, books, themes, and instant services. The big data and various scenarios provide us with great opportunities to develop advanced recommendation technologies. Furthermore, we have witnessed the technical trend of recommendation models in the past ten years, from the shallow and simple models like collaborative filtering, linear models, low rank models to deep and complex models like neural networks, pre-trained language models. Based on the mission, opportunities and technological trends, we have also met several hard problems in our recommender systems. In this talk, we will share ten important and interesting challenges and hope that the RecSys community can get inspired and create better recommender systems.

华为的愿景与使命是构建一个完全互联的智能世界。自2013年以来，华为诺亚方舟实验室帮助了许多产品构建推荐系统和搜索引擎，为用户提供合适的信息。在这篇研究论文中，我们将分享十个重要且有趣的挑战，希望能够激发 RecSys 社区，并创造更好的推荐系统。

工业推荐系统中的十大挑战