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.