Modeling contemporaneous basket sequences with twin networks for next-item recommendation

• Main Authors: LE, Duc Trong, LAUW, Hady W., FANG, Yuan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Machine Learning; Learning; Preferences or Rankings; Recommender Systems; Artificial Intelligence and Robotics; Databases and Information Systems; E-Commerce
• Online Access: https://ink.library.smu.edu.sg/sis_research/4069; https://ink.library.smu.edu.sg/context/sis_research/article/5072/viewcontent/0474.pdf
• Institution: Singapore Management University

Our interactions with an application frequently leave a heterogeneous and contemporaneous trail of actions and adoptions (e.g., clicks, bookmarks, purchases). Given a sequence of a particular type (e.g., purchases)-- referred to as the target sequence, we seek to predict the next item expected to ap...