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Found 7 papers, 2 papers with code
EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention
The core of transformer architecture lies in the self-attention mechanism, which computes the pairwise attention scores in a sequence.
AFSPP: Agent Framework for Shaping Preference and Personality with Large Language Models
The evolution of Large Language Models (LLMs) has introduced a new paradigm for investigating human behavior emulation.
UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction
To address the above issue, we propose the Universal Feature Interaction Network (UFIN) approach for CTR prediction.
HIEN: Hierarchical Intention Embedding Network for Click-Through Rate Prediction
Based on this observation, in this paper, we propose a novel approach Hierarchical Intention Embedding Network (HIEN), which considers dependencies of attributes based on bottom-up tree aggregation in the constructed attribute graph.
POI-Transformers: POI Entity Matching through POI Embeddings by Incorporating Semantic and Geographic Information
A general and robust POI embedding framework, the POI-Transformers, is initially proposed in this study to address these problems of POI entity matching.
Multi-view Clustering via Deep Matrix Factorization and Partition Alignment
iii) The partition level information has not been utilized in existing work.
Multi-view Clustering with Deep Matrix Factorization and Global Graph Refinement
Multi-view clustering is an important yet challenging task in machine learning and data mining community.
