Sequential recommendation with user memory networks

• Main Authors: CHEN, Xu, XU, Hongteng, ZHANG, Yongfeng, TANG, Jiaxi, CAO, Yixin, QIN, Zheng, ZHA, Hongyuan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Sequential Recommendation; Memory Networks; Collaborative Filtering; Databases and Information Systems; OS and Networks
• Online Access: https://ink.library.smu.edu.sg/sis_research/7467; https://ink.library.smu.edu.sg/context/sis_research/article/8470/viewcontent/3159652.3159668.pdf
• Institution: Singapore Management University

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 -- usually embed a user»s historica...