Accurate bundle matching and generation via multitask learning with partially shared parameters.

ABSTRACT: How can we recommend existing bundles to users accurately? How can we generate new tailored bundles for users? Recommending a bundle, or a group of various items, has attracted widespread attention in e-commerce owing to the increased satisfaction of both users and providers. Bundle matching and bundle generation are two representative tasks in bundle recommendation. The bundle matching task is to correctly match existing bundles to users while the bundle generation is to generate new bundles that users would prefer. Although many recent works have developed bundle recommendation models, they fail to achieve high accuracy since they do not handle heterogeneous data effectively and do not learn a method for customized bundle generation. In this paper, we propose BundleMage, an accurate appr

SUBMITTER: Jeon H 

PROVIDER: S-EPMC10019671 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature