12 citations · 17 across the 7 of their papers we have counts for
3 papers · 1 filter
ReFORM: Review-aggregated Profile Generation via LLM with Multi-Factor Attention for Restaurant Recommendation
Moonsoo Park, Seulbeen Je, Donghyeon Park
In recommender systems, large language models (LLMs) have gained popularity for generating descriptive summarization to improve recommendation robustness, along with Graph Convolut…
SimDiffRec: Semantic Similarity-Guided Diffusion for Contrastive Sequential Recommendation
Jinkyeong Choi, Yejin Noh, Donghyeon Park
In sequential recommendation systems, data augmentation and contrastive learning techniques have recently been introduced using diffusion models to achieve robust representation le…
RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe Completion using Cascaded Set Transformer
Mogan Gim, Donghee Choi, Kana Maruyama +4
We propose a computational approach for recipe ideation, a downstream task that helps users select and gather ingredients for creating dishes. To perform this task, we developed Re…