Enhancing Talent Search Ranking with Role-Aware Expert Mixtures and LLM-based Fine-Grained Job Descriptions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Jihang, Xu, Bing, Chen, Zulong, Xu, Chuanfei, Chen, Minping, Liu, Suyu, Zhou, Ying, Wen, Zeyi
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing Online Recruitment with Category-Aware MoE and LLM-based Data Augmentation
by: Chen, Minping, et al.
Published: (2026)

Taxon: Hierarchical Tax Code Prediction with Semantically Aligned LLM Expert Guidance
by: Li, Jihang, et al.
Published: (2026)

SEAL: Structure and Element Aware Learning to Improve Long Structured Document Retrieval
by: Huang, Xinhao, et al.
Published: (2025)

RCLRec: Reverse Curriculum Learning for Modeling Sparse Conversions in Generative Recommendation
by: Huang, Yulei, et al.
Published: (2026)

RankPO: Preference Optimization for Job-Talent Matching
by: Zhang, Yafei, et al.
Published: (2025)

ReAlign: Optimizing the Visual Document Retriever with Reasoning-Guided Fine-Grained Alignment
by: Yang, Hao, et al.
Published: (2026)

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

Unveiling Inference Scaling for Difference-Aware User Modeling in LLM Personalization
by: Chen, Suyu, et al.
Published: (2025)

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation
by: Lin, Xiao, et al.
Published: (2026)

LREA: Low-Rank Efficient Attention on Modeling Long-Term User Behaviors for CTR Prediction
by: Song, Xin, et al.
Published: (2025)

Hierarchical Multi-Interest Co-Network For Coarse-Grained Ranking
by: Yuan, Xu, et al.
Published: (2022)

Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract)
by: Li, Yuchen, et al.
Published: (2024)

Addressing Information Loss and Interaction Collapse: A Dual Enhanced Attention Framework for Feature Interaction
by: Xu, Yi, et al.
Published: (2025)

Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation
by: Zhang, Shengzhe, et al.
Published: (2025)

Mixture-of-Experts Knowledge Graph Retrieval-Augmented Generation for Multi-Agent LLM-based Recommendation
by: Wang, Shijie, et al.
Published: (2026)

TalentMine: LLM-Based Extraction and Question-Answering from Multimodal Talent Tables
by: Mannam, Varun, et al.
Published: (2025)

Facet-Aware Multi-Head Mixture-of-Experts Model with Text-Enhanced Pre-training for Sequential Recommendation
by: Liu, Mingrui, et al.
Published: (2026)

A Unified Search and Recommendation Framework Based on Multi-Scenario Learning for Ranking in E-commerce
by: Liu, Jinhan, et al.
Published: (2024)

TagLLM: A Fine-Grained Tag Generation Approach for Note Recommendation
by: Chen, Zhijian, et al.
Published: (2026)

Enhancing the Patent Matching Capability of Large Language Models via the Memory Graph
by: Xiong, Qiushi, et al.
Published: (2025)

RankLLM: A Python Package for Reranking with LLMs
by: Sharifymoghaddam, Sahel, et al.
Published: (2025)

RankSteer: Activation Steering for Pointwise LLM Ranking
by: Wang, Yumeng, et al.
Published: (2026)

CAMMSR: Category-Guided Attentive Mixture of Experts for Multimodal Sequential Recommendation
by: Xu, Jinfeng, et al.
Published: (2026)

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

BloomIntent: Automating Search Evaluation with LLM-Generated Fine-Grained User Intents
by: Choi, Yoonseo, et al.
Published: (2025)

MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment
by: Qin, Weicong, et al.
Published: (2025)

DESIRE-ME: Domain-Enhanced Supervised Information REtrieval using Mixture-of-Experts
by: Kasela, Pranav, et al.
Published: (2024)

Overview of the TalentCLEF 2025: Skill and Job Title Intelligence for Human Capital Management
by: Gasco, Luis, et al.
Published: (2025)

Counterfactual Learning-Driven Representation Disentanglement for Search-Enhanced Recommendation
by: Cui, Jiajun, et al.
Published: (2024)

Efficient Multimodal Streaming Recommendation via Expandable Side Mixture-of-Experts
by: Qu, Yunke, et al.
Published: (2025)

Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation
by: Liu, Mingrui, et al.
Published: (2024)

Controlling Output Rankings in Generative Engines for LLM-based Search
by: Jin, Haibo, et al.
Published: (2026)

REMOTE: A Unified Multimodal Relation Extraction Framework with Multilevel Optimal Transport and Mixture-of-Experts
by: Lin, Xinkui, et al.
Published: (2025)

RankTower: A Synergistic Framework for Enhancing Two-Tower Pre-Ranking Model
by: Yan, YaChen, et al.
Published: (2024)

Query2GMM: Learning Representation with Gaussian Mixture Model for Reasoning over Knowledge Graphs
by: Wu, Yuhan, et al.
Published: (2023)

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

Enhancing Medical Cross-Modal Hashing Retrieval using Dropout-Voting Mixture-of-Experts Fusion
by: Ahn, Jaewon, et al.
Published: (2025)

QUIDS: Query Intent Description for Exploratory Search via Dual Space Modeling
by: Wang, Yumeng, et al.
Published: (2024)

Evolutionary Router Feature Generation for Zero-Shot Graph Anomaly Detection with Mixture-of-Experts
by: Jiang, Haiyang, et al.
Published: (2026)

TubiFM: Unified Item, Carousel, and Search Ranking for Streaming Discovery
by: Salle, Alexandre, et al.
Published: (2026)