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A semantic framework for enhancing pseudo-relevance feedback with soft negative sampling and contrastive learning
M Pan, S Zhou, J Chen, EA Huang, JX Huang - Information Processing & …, 2025 - Elsevier
In the field of information Retrieval (IR), Pseudo-relevance feedback (PRF) and Query
Expansion (QE) techniques have garnered significant attention for their efficacy in …
Expansion (QE) techniques have garnered significant attention for their efficacy in …
Graph attention contrastive learning with missing modality for multimodal recommendation
W Zhao, K Yang, P Ding, C Na, W Li - Knowledge-Based Systems, 2025 - Elsevier
Multimodal recommendation plays an important role in many online content-sharing
platforms. Most existing reported approaches of multimodal recommendation employ user …
platforms. Most existing reported approaches of multimodal recommendation employ user …
Temporal Preference and Knowledge-Aware Collaborative Attentive Network for Electrical Material Recommendation
J Shen, L Chen, G Zhu, J Cao, W Qin, Y Chen… - … Conference on Web …, 2024 - Springer
In the field of electrical power material management, it is paramount that users receive
accurate recommendations regarding the electrical power materials they require. In recent …
accurate recommendations regarding the electrical power materials they require. In recent …
MP-LLAVRec: an agricultural product recommendation algorithm based on LLAVA and user modal preference
P Li, L Gao, L Zhang, L Peng, C Bai, L Yang - Frontiers in Physics, 2025 - frontiersin.org
Introduction With the booming development of e-commerce, agricultural product
recommendation plays an increasingly important role in hel** consumers discover and …
recommendation plays an increasingly important role in hel** consumers discover and …