Style Recommendation For Fashion Items Using Heterogeneous Information Network

Information

Title Style Recommendation For Fashion Items Using Heterogeneous Information Network
Authors Hanbit Lee, Sang-goo Lee
Year 2015 / 09
Keywords Recommendation, Style, Fashion product, Heterogeneous graph
Acknowledgement SRC
Publication Type International Conference
Publication Recommender Systems 2015 (RecSys2015)
Link doi

Abstract

In the midst of vast amounts of available fashion items, consumers today require more efficient recommendation services. A system that sorts out items that form a stylish ensemble with already selected or possessed items would provide them with greater convenience. In this paper, we propose a fashion item recommendation method that learns the way the fashion items are matched from a large ensemble database. We empirically show that the proposed method can explain factors that affect item matching and recommend the most suitable items to the given set of items.