Search Results for author: Ming He

Found 13 papers, 2 papers with code

Collaborative Knowledge Fusion: A Novel Approach for Multi-task Recommender Systems via LLMs

no code implementations28 Oct 2024 Chuang Zhao, Xing Su, Ming He, Hongke Zhao, Jianping Fan, Xiaomeng Li

Owing to the impressive general intelligence of large language models (LLMs), there has been a growing trend to integrate them into recommender systems to gain a more profound insight into human interests and intentions.

Collaborative Filtering Explainable Recommendation +2

Generating Model Parameters for Controlling: Parameter Diffusion for Controllable Multi-Task Recommendation

no code implementations14 Oct 2024 Chenglei Shen, Jiahao Zhao, Xiao Zhang, Weijie Yu, Ming He, Jianping Fan

To address this issue, we propose a novel controllable learning approach via Parameter Diffusion for controllable multi-task Recommendation (PaDiRec), which allows the customization and adaptation of recommendation model parameters to new task requirements without retraining.

Recommendation Systems Test-time Adaptation

Enhancing Sequential Recommendations through Multi-Perspective Reflections and Iteration

no code implementations10 Sep 2024 Weicong Qin, Yi Xu, Weijie Yu, Chenglei Shen, Xiao Zhang, Ming He, Jianping Fan, Jun Xu

Specifically, MoRE introduces three reflectors for generating LLM-based reflections on explicit preferences, implicit preferences, and collaborative signals.

Collaborative Filtering

GANPrompt: Enhancing Robustness in LLM-Based Recommendations with GAN-Enhanced Diversity Prompts

no code implementations19 Aug 2024 Xinyu Li, Chuang Zhao, Hongke Zhao, Likang Wu, Ming He

In recent years, Large Language Models (LLMs) have demonstrated remarkable proficiency in comprehending and generating natural language, with a growing prevalence in the domain of recommendation systems.

Diversity Language Modelling +2

MobileExperts: A Dynamic Tool-Enabled Agent Team in Mobile Devices

no code implementations4 Jul 2024 Jiayi Zhang, Chuang Zhao, Yihan Zhao, Zhaoyang Yu, Ming He, Jianping Fan

The attainment of autonomous operations in mobile computing devices has consistently been a goal of human pursuit.

Cross-domain Transfer of Valence Preferences via a Meta-optimization Approach

1 code implementation24 Jun 2024 Chuang Zhao, Hongke Zhao, Ming He, Xiaomeng Li, Jianping Fan

Furthermore, in addition to the supervised loss for overlapping users, we design contrastive tasks for non-overlapping users from both group and individual-levels to avoid model skew and enhance the semantics of representations.

Meta-Learning Self-Supervised Learning

Multi-View Empowered Structural Graph Wordification for Language Models

no code implementations19 Jun 2024 Zipeng Liu, Likang Wu, Ming He, Zhong Guan, Hongke Zhao, Nan Feng

Significant efforts have been dedicated to integrating the powerful Large Language Models (LLMs) with diverse modalities, particularly focusing on the fusion of language, vision and audio data.

Graph Neural Network Node Classification

LangTopo: Aligning Language Descriptions of Graphs with Tokenized Topological Modeling

no code implementations19 Jun 2024 Zhong Guan, Hongke Zhao, Likang Wu, Ming He, Jianpin Fan

Specifically, since natural language descriptions are not sufficient for LLMs to understand and process graph-structured data, fine-tuned LLMs perform even worse than some traditional GNN models on graph tasks, lacking inherent modeling capabilities for graph structures.

Natural Language Understanding

Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning

no code implementations19 Jun 2024 Zhong Guan, Likang Wu, Hongke Zhao, Ming He, Jianpin Fan

To address this, we consider enhancing the learning capability of language model-driven recommendation models for structured data, specifically by utilizing interaction graphs rich in collaborative semantics.

In-Context Learning Language Modeling +2

BiVRec: Bidirectional View-based Multimodal Sequential Recommendation

no code implementations27 Feb 2024 Jiaxi Hu, Jingtong Gao, Xiangyu Zhao, Yuehong Hu, Yuxuan Liang, Yiqi Wang, Ming He, Zitao Liu, Hongzhi Yin

The integration of multimodal information into sequential recommender systems has attracted significant attention in recent research.

Semantic Similarity Semantic Textual Similarity +1

Cross-domain recommendation via user interest alignment

no code implementations26 Jan 2023 Chuang Zhao, Hongke Zhao, Ming He, Jian Zhang, Jianping Fan

Specifically, we first construct a unified cross-domain heterogeneous graph and redefine the message passing mechanism of graph convolutional networks to capture high-order similarity of users and items across domains.

Recommendation Systems

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