CUPID: A Real-Time Session-Based Reciprocal Recommendation System for a One-on-One Social Discovery Platform

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Beomsu, Kim, Sangbum, Kim, Minchan, Yi, Joonyoung, Ha, Sungjoo, Lee, Suhyun, Lee, Youngsoo, Yeom, Gihun, Chang, Buru, Lee, Gihun
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-intent-aware Session-based Recommendation
by: Choi, Minjin, et al.
Published: (2024)

FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
by: Lee, Gihun, et al.
Published: (2023)

Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions
by: Kim, Taehyeon, et al.
Published: (2023)

C$^3$: Capturing Consensus with Contrastive Learning in Group Recommendation
by: Kim, Soyoung, et al.
Published: (2025)

Enhancing Time Awareness in Generative Recommendation
by: Lee, Sunkyung, et al.
Published: (2025)

MARS: Matching Attribute-aware Representations for Text-based Sequential Recommendation
by: Kim, Hyunsoo, et al.
Published: (2024)

BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization
by: Lee, Gihun, et al.
Published: (2024)

ACE: Anisotropy-Controllable Embedding for LLM-enhanced Sequential Recommendation
by: Lee, Dongcheol, et al.
Published: (2026)

Offline Reasoning for Efficient Recommendation: LLM-Empowered Persona-Profiled Item Indexing
by: Kim, Deogyong, et al.
Published: (2026)

Linear Item-Item Model with Neural Knowledge for Session-based Recommendation
by: Choi, Minjin, et al.
Published: (2025)

Mean-Variance Efficient Collaborative Filtering for Stock Recommendation
by: Chung, Munki, et al.
Published: (2023)

A diffusion-based generative model for financial time series via geometric Brownian motion
by: Kim, Gihun, et al.
Published: (2025)

A Recommender System for NFT Collectibles with Item Feature
by: Choi, Minjoo, et al.
Published: (2024)

Architecture and evolution of shelf‐margin clinoforms developed in a back‐arc tectonic setting: Insights from quantitative analysis on the south‐west shelf margin of the Ulleung Basin
by: Gihun Song, et al.
Published: (2024)

The RAG Paradox: A Black-Box Attack Exploiting Unintentional Vulnerabilities in Retrieval-Augmented Generation Systems
by: Choi, Chanwoo, et al.
Published: (2025)

NSTRI Global Collaborative Research Data Platform
by: Lee, Hyeonhoon, et al.
Published: (2024)

A Self-Supervised Mixture-of-Experts Framework for Multi-behavior Recommendation
by: Kim, Kyungho, et al.
Published: (2025)

Dual Correction Strategy for Ranking Distillation in Top-N Recommender System
by: Lee, Youngjune, et al.
Published: (2021)

DIFF: Dual Side-Information Filtering and Fusion for Sequential Recommendation
by: Kim, Hye-young, et al.
Published: (2025)

Stop Playing the Guessing Game! Target-free User Simulation for Evaluating Conversational Recommender Systems
by: Kim, Sunghwan, et al.
Published: (2024)

Multi-Behavior Recommender Systems: A Survey
by: Kim, Kyungho, et al.
Published: (2025)

Empowering Retrieval-based Conversational Recommendation with Contrasting User Preferences
by: Kook, Heejin, et al.
Published: (2025)

Why is Normalization Necessary for Linear Recommenders?
by: Park, Seongmin, et al.
Published: (2025)

Approximate Thompson Sampling for Learning Linear Quadratic Regulators with $O(\sqrt{T})$ Regret
by: Kim, Yeoneung, et al.
Published: (2024)

ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation
by: Kim, Sunwoo, et al.
Published: (2025)

Graph Spectral Filtering with Chebyshev Interpolation for Recommendation
by: Kim, Chanwoo, et al.
Published: (2025)

General Item Representation Learning for Cold-start Content Recommendations
by: Kim, Jooeun, et al.
Published: (2024)

Track Role Prediction of Single-Instrumental Sequences
by: Han, Changheon, et al.
Published: (2024)

MergeRec: Model Merging for Data-Isolated Cross-Domain Sequential Recommendation
by: Kim, Hyunsoo, et al.
Published: (2026)

HEISIR: Hierarchical Expansion of Inverted Semantic Indexing for Training-free Retrieval of Conversational Data using LLMs
by: Kim, Sangyeop, et al.
Published: (2025)

A Survey of Graph Neural Networks for Social Recommender Systems
by: Sharma, Kartik, et al.
Published: (2022)

Rethinking Contrastive Learning for Graph Collaborative Filtering: Limitations and a Simple Remedy
by: Lee, Geon, et al.
Published: (2026)

Towards Personalized Conversational Sales Agents: Contextual User Profiling for Strategic Action
by: Kim, Tongyoung, et al.
Published: (2025)

SAGEO Arena: A Realistic Environment for Evaluating Search-Augmented Generative Engine Optimization
by: Kim, Sunghwan, et al.
Published: (2026)

GRAM: Generative Recommendation via Semantic-aware Multi-granular Late Fusion
by: Lee, Sunkyung, et al.
Published: (2025)

SPRINT: Scalable and Predictive Intent Refinement for LLM-Enhanced Session-based Recommendation
by: Lee, Gyuseok, et al.
Published: (2025)

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR
by: Ko, Dayoon, et al.
Published: (2025)

Recommendation Algorithm Based on Recommendation Sessions
by: Malinowski, Michał
Published: (2024)

CAPER: Enhancing Career Trajectory Prediction using Temporal Knowledge Graph and Ternary Relationship
by: Lee, Yeon-Chang, et al.
Published: (2024)

Leave No One Behind: Enhancing Diversity While Maintaining Accuracy in Social Recommendation
by: Li, Lei, et al.
Published: (2025)