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Found 8 papers, 4 papers with code
Proxy-based Item Representation for Attribute and Context-aware Recommendation
Additionally, that the proxy embeddings are shared across all items allows the infrequent items to borrow training signals of frequent items in a unified model structure and end-to-end manner.
Ranked #1 on
Recommendation Systems
on Amazon Beauty
(using extra training data)
Exploiting Session Information in BERT-based Session-aware Sequential Recommendation
In recommendation systems, utilizing the user interaction history as sequential information has resulted in great performance improvement.
Technologies for AI-Driven Fashion Social Networking Service with E-Commerce
The rapid growth of the online fashion market brought demands for innovative fashion services and commerce platforms.
False Negative Distillation and Contrastive Learning for Personalized Outfit Recommendation
The first challenge is that outfit recommendation often requires a complex and large model that utilizes visual information, incurring huge memory and time costs.
Masked Contrastive Learning for Anomaly Detection
However, the primary objective of contrastive learning is to learn task-agnostic features without any labels, which is not entirely suited to discern anomalies.
Contrastive Learning for Unsupervised Image-to-Image Translation
Image-to-image translation aims to learn a mapping between different groups of visually distinguishable images.
Style2Vec: Representation Learning for Fashion Items from Style Sets
With the rapid growth of online fashion market, demand for effective fashion recommendation systems has never been greater.
A Syllable-based Technique for Word Embeddings of Korean Words
Word embedding has become a fundamental component to many NLP tasks such as named entity recognition and machine translation.
