论文阅读——Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation

00 文章基本信息

01 摘要

当前RNNs在处理neighbor check-ins时存在的弊端：

• rarely consider the spatio-temporal intervals between neighbor
  check-ins, which are essential for modeling user check-in behaviors
  in next POI recommendation.
• 换言之：现有的基于RNN的方法在对用户短期偏好建模时，要么忽略了用户的长期偏好，要么忽略了最近访问的poi之间的地理关系，使得我们的推荐结果并不可靠。

our contributions：

• we propose a new Spatio-Temporal Gated Network (STGN) by
  enhancing long-short term memory network;针对上述局限性，我们提出了一种新的长短期偏好建模方法（LSTPM）。
• two pairs of time gate and distance gate are designed to control the
  short-term interest and the long-term interest updates, respectively;
• we introduce coupled input and forget gates to reduce the number of
  parameters and further improve efficiency;
• we evaluate the proposed mode