Interactive Garment Recommendation with User in the Loop

arXiv:2402.11627v1 Announce Type: new
Abstract: Recommending fashion items often leverages rich user profiles and makes targeted suggestions based on past history and previous purchases. In this paper, we work under the assumption that no prior knowledge is given about a user. We propose to build a user profile on the fly by integrating user reactions as we recommend complementary items to compose an outfit. We present a reinforcement learning agent capable of suggesting appropriate garments and ingesting user feedback so …

abstract arxiv build cs.cv cs.ir fashion fly history interactive knowledge loop paper prior profile profiles recommendation suggestions type work