Jiaxi Tang

Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding

2018

Top-N sequential recommendation models each user as a sequence of items interacted in the past and aims to predict top-N ranked items that a user will likely interact in a »near future». The order of …

Sequential Recommendation with User Memory Networks

2018

User preferences are usually dynamic in real-world recommender systems, and a user»s historical behavior records may not be equally important when predicting his/her future interests. Existing recommendation algorithms -- including both shallow and deep approaches …