Recent online services rely heavily on automatic personalization to recommend relevant content to a large number of users. This requires systems to scale promptly to accommodate the stream of new users visiting the online services for the first time. In this work, we propose a content-based recommendation system to address both the recommendation quality and the system scalability. We propose to u
![A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems - Microsoft Research](https://cdn-ak-scissors.b.st-hatena.com/image/square/785af067ea0ae941e85f9c4fdb5e7c5662894e02/height=288;version=1;width=512/https%3A%2F%2Fwww.microsoft.com%2Fen-us%2Fresearch%2Fuploads%2Fprod%2F2018%2F11%2FAutomated_Hero_Image_MSR_Social_11_2018_1200x627.png)