Modeling sequential and basket-oriented associations for top-K recommendation

• Main Author: LE DUC TRONG, Duc-Trong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Recommender Systems; Preference Learning; Sequential Recommendation; Basket-Sensitive Recommendation; Item-Item Association; Sequential Association; Correlative Association; Basket-Oriented Association; Databases and Information Systems; Data Storage Systems
• Online Access: https://ink.library.smu.edu.sg/etd_coll/198; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1198&context=etd_coll
• Institution: Singapore Management University

Top-K recommendation is a typical task in Recommender Systems. In traditional approaches, it mainly relies on the modeling of user-item associations, which emphasizes the user-specific factor or personalization. Here, we investigate another direction that models item-item associations, especially wi...