29 citations · 66 across the 7 of their papers we have counts for
8 papers
Proxy-based Item Representation for Attribute and Context-aware Recommendation
Jinseok Seol, Minseok Gang, Sang-goo Lee +1
Neural network approaches in recommender systems have shown remarkable success by representing a large set of items as a learnable vector embedding table. However, infrequent items…
Exploiting Session Information in BERT-based Session-aware Sequential Recommendation
Jinseok Seol, Youngrok Ko, Sang-goo Lee
In recommendation systems, utilizing the user interaction history as sequential information has resulted in great performance improvement. However, in many online services, user in…
Technologies for AI-Driven Fashion Social Networking Service with E-Commerce
Jinseok Seol, Seongjae Kim, Sungchan Park +7
The rapid growth of the online fashion market brought demands for innovative fashion services and commerce platforms. With the recent success of deep learning, many applications em…
False Negative Distillation and Contrastive Learning for Personalized Outfit Recommendation
Seongjae Kim, Jinseok Seol, Holim Lim +1
Personalized outfit recommendation has recently been in the spotlight with the rapid growth of the online fashion industry. However, recommending outfits has two significant challe…
Contrastive Learning for Unsupervised Image-to-Image Translation
Hanbit Lee, Jinseok Seol, Sang-goo Lee
Image-to-image translation aims to learn a mapping between different groups of visually distinguishable images. While recent methods have shown impressive ability to change even in…
Masked Contrastive Learning for Anomaly Detection
Hyunsoo Cho, Jinseok Seol, Sang-goo Lee
Detecting anomalies is one fundamental aspect of a safety-critical software system, however, it remains a long-standing problem. Numerous branches of works have been proposed to al…
Style2Vec: Representation Learning for Fashion Items from Style Sets
Hanbit Lee, Jinseok Seol, Sang-goo Lee
With the rapid growth of online fashion market, demand for effective fashion recommendation systems has never been greater. In fashion recommendation, the ability to find items tha…
A Syllable-based Technique for Word Embeddings of Korean Words
Sanghyuk Choi, Taeuk Kim, Jinseok Seol +1
Word embedding has become a fundamental component to many NLP tasks such as named entity recognition and machine translation. However, popular models that learn such embeddings are…