Copertina

Leveraging Language Semantics for Collaborative Filtering with TextGCN and TextGCN-MLP: Zero-Shot vs In-Domain Performance

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chernov, Andrei, Wahab, Haroon, Novitskij, Oleg
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A TextGCN-Based Decoding Approach for Improving Remote Sensing Image Captioning
di: Das, Swadhin, et al.
Pubblicazione: (2024)

CombiGCN: An effective GCN model for Recommender System
di: Nguyen, Loc Tan, et al.
Pubblicazione: (2025)

Knowledge Graph Reasoning Based on Attention GCN
di: Gupta, Meera, et al.
Pubblicazione: (2023)

SEP-GCN: Leveraging Similar Edge Pairs with Temporal and Spatial Contexts for Location-Based Recommender Systems
di: Nguyen, Tan Loc, et al.
Pubblicazione: (2025)

IA-GCN: Interactive Graph Convolutional Network for Recommendation
di: Zhang, Yinan, et al.
Pubblicazione: (2022)

THeGCN: Temporal Heterophilic Graph Convolutional Network
di: Yan, Yuchen, et al.
Pubblicazione: (2024)

Retrieval Augmented Zero-Shot Text Classification
di: Abdullahi, Tassallah, et al.
Pubblicazione: (2024)

HEC-GCN: Hypergraph Enhanced Cascading Graph Convolution Network for Multi-Behavior Recommendation
di: Yin, Yabo, et al.
Pubblicazione: (2024)

Exploring the Upper Limits of Text-Based Collaborative Filtering Using Large Language Models: Discoveries and Insights
di: Li, Ruyu, et al.
Pubblicazione: (2023)

The Empirical Impact of Reducing Symmetries on the Performance of Deep Ensembles and MoE
di: Chernov, Andrei, et al.
Pubblicazione: (2025)

Leveraging Reference Documents for Zero-Shot Ranking via Large Language Models
di: Li, Jieran, et al.
Pubblicazione: (2025)

Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation
di: Shi, Teng, et al.
Pubblicazione: (2025)

Rolling Forward: Enhancing LightGCN with Causal Graph Convolution for Credit Bond Recommendation
di: Ghiye, Ashraf, et al.
Pubblicazione: (2025)

Text-Driven Neural Collaborative Filtering Model for Paper Source Tracing
di: Xu, Aobo, et al.
Pubblicazione: (2024)

Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation
di: Li, Hanyu, et al.
Pubblicazione: (2024)

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain
di: Xia, Rui, et al.
Pubblicazione: (2024)

Turning Semantics into Topology: LLM-Driven Attribute Augmentation for Collaborative Filtering
di: Meng, Junjie, et al.
Pubblicazione: (2026)

Large Language Models Enhanced Collaborative Filtering
di: Sun, Zhongxiang, et al.
Pubblicazione: (2024)

A Survey on Deep Text Hashing: Efficient Semantic Text Retrieval with Binary Representation
di: He, Liyang, et al.
Pubblicazione: (2025)

P4GCN: Vertical Federated Social Recommendation with Privacy-Preserving Two-Party Graph Convolution Network
di: Wang, Zheng, et al.
Pubblicazione: (2024)

Beyond Instance-Level Alignment and Uniformity: Semantic Factor Learning for Collaborative Filtering
di: Yu, Yajie, et al.
Pubblicazione: (2026)

Prompt Tuning without Labeled Samples for Zero-Shot Node Classification in Text-Attributed Graphs
di: Parameswaran, Sethupathy, et al.
Pubblicazione: (2026)

Enhancing Automatic Keyphrase Labelling with Text-to-Text Transfer Transformer (T5) Architecture: A Framework for Keyphrase Generation and Filtering
di: Gabín, Jorge, et al.
Pubblicazione: (2024)

Do We Really Need Specialization? Evaluating Generalist Text Embeddings for Zero-Shot Recommendation and Search
di: Attimonelli, Matteo, et al.
Pubblicazione: (2025)

FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation
di: Liu, Ruochen, et al.
Pubblicazione: (2025)

Making Text Embedders Few-Shot Learners
di: Li, Chaofan, et al.
Pubblicazione: (2024)

Flow Matching for Collaborative Filtering
di: Liu, Chengkai, et al.
Pubblicazione: (2025)

SDR-CIR: Semantic Debias Retrieval Framework for Training-Free Zero-Shot Composed Image Retrieval
di: Sun, Yi, et al.
Pubblicazione: (2026)

Understanding Embedding Scaling in Collaborative Filtering
di: He, Yicheng, et al.
Pubblicazione: (2025)

Representation Quantization for Collaborative Filtering Augmentation
di: Luo, Yunze, et al.
Pubblicazione: (2025)

Neural Causal Graph Collaborative Filtering
di: Wang, Xiangmeng, et al.
Pubblicazione: (2023)

Intent Propagation Contrastive Collaborative Filtering
di: Li, Haojie, et al.
Pubblicazione: (2026)

Feedback Reciprocal Graph Collaborative Filtering
di: Chen, Weijun, et al.
Pubblicazione: (2024)

Lightweight Embeddings for Graph Collaborative Filtering
di: Liang, Xurong, et al.
Pubblicazione: (2024)

PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering
di: Qin, Yifang, et al.
Pubblicazione: (2024)

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation
di: Zhang, Yang, et al.
Pubblicazione: (2024)

Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation
di: Zheng, Bowen, et al.
Pubblicazione: (2023)

Hound: Hunting Supervision Signals for Few and Zero Shot Node Classification on Text-attributed Graph
di: Wang, Yuxiang, et al.
Pubblicazione: (2024)

SLIMER-IT: Zero-Shot NER on Italian Language
di: Zamai, Andrew, et al.
Pubblicazione: (2024)

Lightweight Embeddings with Graph Rewiring for Collaborative Filtering
di: Liang, Xurong, et al.
Pubblicazione: (2025)