Mining diverse consumer preferences for bundling and recommendation

• Main Author: DO, Ha Loc
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: data mining; database application; recommender systems; collaborative filtering; bundling; profit maximization; Categorical Data Analysis; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/etd_coll_all/18; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1036&context=etd_coll_all
• Institution: Singapore Management University

That consumers share similar tastes on some products does not guarantee their agreement on other products. Therefore, both similarity and dierence should be taken into account for a more rounded view on consumer preferences. This manuscript focuses on mining this diversity of consumer preferences fr...