research
∙
05/10/2023
Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction
Large Language Models (LLMs) have demonstrated exceptional capabilities ...
share
research
∙
09/12/2019
Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation
Generating the Top-N recommendations from a large corpus is computationa...
research
∙
08/27/2019
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation
Sequential patterns play an important role in building modern recommende...
research
∙
12/04/2018
Complete the Look: Scene-based Complementary Product Recommendation
Modeling fashion compatibility is challenging due to its complexity and ...
research
∙
09/25/2018
Learning Consumer and Producer Embeddings for User-Generated Content Recommendation
User-Generated Content (UGC) is at the core of web applications where us...
research
∙
08/29/2018
Recommendation Through Mixtures of Heterogeneous Item Relationships
Recommender Systems have proliferated as general-purpose approaches to m...
research
∙
08/20/2018
Self-Attentive Sequential Recommendation
Sequential dynamics are a key feature of many modern recommender systems...
research
∙
11/07/2017
Visually-Aware Fashion Recommendation and Design with Generative Image Models
Building effective recommender systems for domains like fashion is chall...
research
∙
11/12/2015
