:: Library Catalog

Saved in:

Bibliographic Details
Main Authors:	Goda, Shuhei, Hayashi, Yudai, Saito, Yuta
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	https://arxiv.org/abs/2409.10992
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Off-Policy Evaluation and Learning for Matching Markets
by: Hayashi, Yudai, et al.
Published: (2025)

Fair Reciprocal Recommendation in Matching Markets
by: Tomita, Yoji, et al.
Published: (2024)

Balancing Fairness and High Match Rates in Reciprocal Recommender Systems: A Nash Social Welfare Approach
by: Tomita, Yoji, et al.
Published: (2026)

Counterfactual Reciprocal Recommender Systems for User-to-User Matching
by: Kawamura, Kazuki, et al.
Published: (2025)

Parallel and Mini-Batch Stable Matching for Large-Scale Reciprocal Recommender Systems
by: Nakada, Kento, et al.
Published: (2024)

Scalable and Provably Fair Exposure Control for Large-Scale Recommender Systems
by: Togashi, Riku, et al.
Published: (2024)

Powering Job Search at Scale: LLM-Enhanced Query Understanding in Job Matching Systems
by: Liu, Ping, et al.
Published: (2025)

Recommending Search Filters To Improve Conversions At Airbnb
by: Li, Hao, et al.
Published: (2026)

Research Paper Recommender System by Considering Users' Information Seeking Behaviors
by: Xu, Zhelin, et al.
Published: (2025)

Learning to Retrieve for Job Matching
by: Shen, Jianqiang, et al.
Published: (2024)

Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method
by: Yang, Chen, et al.
Published: (2024)

Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention
by: Liu, Ziru, et al.
Published: (2024)

Rotate Both Ways: Time-and-Order RoPE for Generative Recommendation
by: Wei, Xiaokai, et al.
Published: (2025)

Migrating a Job Search Relevance Function
by: Mountain, Bennett, et al.
Published: (2025)

JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer
by: Guan, Zhihao, et al.
Published: (2024)

TIMBRE: Efficient Job Recommendation On Heterogeneous Graphs For Professional Recruiters
by: Behar, Eric, et al.
Published: (2024)

Accurate and Diverse Recommendations via Propensity-Weighted Linear Autoencoders
by: Onishi, Kazuma, et al.
Published: (2025)

To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process
by: Sun, Zhongxiang, et al.
Published: (2024)

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation
by: Xu, Jinfeng, et al.
Published: (2025)

FAIR-MATCH: A Multi-Objective Framework for Bias Mitigation in Reciprocal Dating Recommendations
by: Kotecha, Madhav
Published: (2025)

Multimodal Point-of-Interest Recommendation
by: Kanzawa, Yuta, et al.
Published: (2024)

Unified Generative Search and Recommendation
by: Shi, Teng, et al.
Published: (2025)

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations
by: Wang, Yuyan, et al.
Published: (2025)

Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential Recommenders
by: Xu, Cong, et al.
Published: (2024)

PREMISE: Matching-based Prediction for Accurate Review Recommendation
by: Han, Wei, et al.
Published: (2025)

Result Diversification in Search and Recommendation: A Survey
by: Wu, Haolun, et al.
Published: (2022)

Flow Matching based Sequential Recommender Model
by: Liu, Feng, et al.
Published: (2025)

Long or Short or Both? An Exploration on Lookback Time Windows of Behavioral Features in Product Search Ranking
by: Liu, Qi, et al.
Published: (2024)

Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation
by: Chen, Ruijun, et al.
Published: (2026)

Feedback Reciprocal Graph Collaborative Filtering
by: Chen, Weijun, et al.
Published: (2024)

Improving Sequential Recommendations with LLMs
by: Boz, Artun, et al.
Published: (2024)

Semantic IDs for Joint Generative Search and Recommendation
by: Penha, Gustavo, et al.
Published: (2025)

Policy-Grounded Dynamic Facet Suggestions for Job Search
by: Xu, Dan, et al.
Published: (2026)

On Recommending Category: A Cascading Approach
by: Wang, Qihao, et al.
Published: (2025)

Preference Trajectory Modeling via Flow Matching for Sequential Recommendation
by: Li, Li, et al.
Published: (2025)

PRECTR: A Synergistic Framework for Integrating Personalized Search Relevance Matching and CTR Prediction
by: Chen, Rong, et al.
Published: (2025)

DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation
by: Yu, Xiaoshan, et al.
Published: (2024)

Benefit from Rich: Tackling Search Interaction Sparsity in Search Enhanced Recommendation
by: Shi, Teng, et al.
Published: (2025)

DESERE: The 1st Workshop on Decentralised Search and Recommendation
by: Ragab, Mohamed, et al.
Published: (2024)

Scalable Dynamic Embedding Size Search for Streaming Recommendation
by: Qu, Yunke, et al.
Published: (2024)