PEPT: Expert Finding Meets Personalized Pre-training
Fuente:
arXiv
Saved in:
| Main Authors: | Peng, Qiyao, Xu, Hongyan, Wang, Yinghui, Liu, Hongtao, Huo, Cuiying, Wang, Wenjun |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FRONTIER-RevRec: A Large-scale Dataset for Reviewer Recommendation
by: Peng, Qiyao, et al.
Published: (2025)
by: Peng, Qiyao, et al.
Published: (2025)
ULMRec: User-centric Large Language Model for Sequential Recommendation
by: Shao, Minglai, et al.
Published: (2024)
by: Shao, Minglai, et al.
Published: (2024)
A Survey on LLM-powered Agents for Recommender Systems
by: Peng, Qiyao, et al.
Published: (2025)
by: Peng, Qiyao, 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)
by: Liu, Mingrui, et al.
Published: (2026)
ID-centric Pre-training for Recommendation
by: Wu, Yiqing, et al.
Published: (2024)
by: Wu, Yiqing, et al.
Published: (2024)
To Recommend or Not: Recommendability Identification in Conversations with Pre-trained Language Models
by: Wang, Zhefan, et al.
Published: (2024)
by: Wang, Zhefan, et al.
Published: (2024)
PPM : A Pre-trained Plug-in Model for Click-through Rate Prediction
by: Gao, Yuanbo, et al.
Published: (2024)
by: Gao, Yuanbo, et al.
Published: (2024)
Read the Docs Before Rewriting: Equip Rewriter with Domain Knowledge via Continual Pre-training
by: Wang, Qi, et al.
Published: (2025)
by: Wang, Qi, et al.
Published: (2025)
Understanding and Addressing Gender Bias in Expert Finding Task
by: Amendola, Maddalena, et al.
Published: (2024)
by: Amendola, Maddalena, et al.
Published: (2024)
CIRP: Cross-Item Relational Pre-training for Multimodal Product Bundling
by: Ma, Yunshan, et al.
Published: (2024)
by: Ma, Yunshan, et al.
Published: (2024)
I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval
by: Dong, Qian, et al.
Published: (2023)
by: Dong, Qian, et al.
Published: (2023)
Beyond the Sequence: Statistics-Driven Pre-training for Stabilizing Sequential Recommendation Model
by: Wang, Sirui, et al.
Published: (2024)
by: Wang, Sirui, et al.
Published: (2024)
A Pre-trained Sequential Recommendation Framework: Popularity Dynamics for Zero-shot Transfer
by: Wang, Junting, et al.
Published: (2024)
by: Wang, Junting, et al.
Published: (2024)
Towards Robust Expert Finding in Community Question Answering Platforms
by: Amendola, Maddalena, et al.
Published: (2025)
by: Amendola, Maddalena, et al.
Published: (2025)
GPR: Towards a Generative Pre-trained One-Model Paradigm for Large-Scale Advertising Recommendation
by: Zhang, Jun, et al.
Published: (2025)
by: Zhang, Jun, et al.
Published: (2025)
LDA-based Term Profiles for Expert Finding in a Political Setting
by: de Campos, Luis M., et al.
Published: (2024)
by: de Campos, Luis M., et al.
Published: (2024)
Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation with Pre-training
by: Jiang, Juyong, et al.
Published: (2021)
by: Jiang, Juyong, et al.
Published: (2021)
On the Biased Assessment of Expert Finding Systems
by: Decorte, Jens-Joris, et al.
Published: (2024)
by: Decorte, Jens-Joris, et al.
Published: (2024)
Contrastive Pre-training for Deep Session Data Understanding
by: Li, Zixuan, et al.
Published: (2024)
by: Li, Zixuan, et al.
Published: (2024)
ColBERT-Zero: To Pre-train Or Not To Pre-train ColBERT models
by: Chaffin, Antoine, et al.
Published: (2026)
by: Chaffin, Antoine, et al.
Published: (2026)
Pre-training Generative Recommender with Multi-Identifier Item Tokenization
by: Zheng, Bowen, et al.
Published: (2025)
by: Zheng, Bowen, et al.
Published: (2025)
Caseformer: Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions
by: Su, Weihang, et al.
Published: (2023)
by: Su, Weihang, et al.
Published: (2023)
Stratified Expert Cloning for Retention-Aware Recommendation at Scale
by: Lin, Chengzhi, et al.
Published: (2025)
by: Lin, Chengzhi, et al.
Published: (2025)
Leveraging Topic Specificity and Social Relationships for Expert Finding in Community Question Answering Platforms
by: Amendola, Maddalena, et al.
Published: (2024)
by: Amendola, Maddalena, et al.
Published: (2024)
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval
by: Tang, Yubao, et al.
Published: (2024)
by: Tang, Yubao, et al.
Published: (2024)
Enhancing SPARQL Generation by Triplet-order-sensitive Pre-training
by: Su, Chang, et al.
Published: (2024)
by: Su, Chang, et al.
Published: (2024)
Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models
by: Wang, Yuhao, et al.
Published: (2024)
by: Wang, Yuhao, et al.
Published: (2024)
Text Embeddings by Weakly-Supervised Contrastive Pre-training
by: Wang, Liang, et al.
Published: (2022)
by: Wang, Liang, et al.
Published: (2022)
Towards Personalized Federated Multi-Scenario Multi-Task Recommendation
by: Ding, Yue, et al.
Published: (2024)
by: Ding, Yue, et al.
Published: (2024)
Taming the One-Epoch Phenomenon in Online Recommendation System by Two-stage Contrastive ID Pre-training
by: Hsu, Yi-Ping, et al.
Published: (2025)
by: Hsu, Yi-Ping, et al.
Published: (2025)
Divergence Meets Consensus: A Multi-Source Negative Sampling Framework for Sequential Recommendation
by: Li, Yuanzi, et al.
Published: (2026)
by: Li, Yuanzi, et al.
Published: (2026)
Pre-trained Recommender Systems: A Causal Debiasing Perspective
by: Lin, Ziqian, et al.
Published: (2023)
by: Lin, Ziqian, et al.
Published: (2023)
Debiasing Recommendation with Personal Popularity
by: Ning, Wentao, et al.
Published: (2024)
by: Ning, Wentao, et al.
Published: (2024)
Next Interest Flow: A Generative Pre-training Paradigm for Recommender Systems by Modeling All-domain Movelines
by: Gao, Chen, et al.
Published: (2025)
by: Gao, Chen, et al.
Published: (2025)
Predicting IR Personalization Performance using Pre-retrieval Query Predictors
by: Vicente-López, Eduardo, et al.
Published: (2024)
by: Vicente-López, Eduardo, et al.
Published: (2024)
GENET: Unleashing the Power of Side Information for Recommendation via Hypergraph Pre-training
by: Li, Yang, et al.
Published: (2023)
by: Li, Yang, et al.
Published: (2023)
The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation
by: Qu, Zekai, et al.
Published: (2024)
by: Qu, Zekai, et al.
Published: (2024)
Markovian Pre-Trained Transformer for Next-Item Recommendation
by: Xu, Cong, et al.
Published: (2026)
by: Xu, Cong, et al.
Published: (2026)
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities
by: Chen, Jin, et al.
Published: (2023)
by: Chen, Jin, et al.
Published: (2023)
FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation
by: Wang, Maolin, et al.
Published: (2025)
by: Wang, Maolin, et al.
Published: (2025)
Similar Items
-
FRONTIER-RevRec: A Large-scale Dataset for Reviewer Recommendation
by: Peng, Qiyao, et al.
Published: (2025) -
ULMRec: User-centric Large Language Model for Sequential Recommendation
by: Shao, Minglai, et al.
Published: (2024) -
A Survey on LLM-powered Agents for Recommender Systems
by: Peng, Qiyao, 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) -
ID-centric Pre-training for Recommendation
by: Wu, Yiqing, et al.
Published: (2024)