Web Information Systems Engineering - WISE 2025

.- Recommender Systems II.
.- A multi-modal short-video recommendation method for enhancing user behaviors based on graph contrastive learning.
.- Enhancing Multi-behavior Sequential Recommendation via Transformer-based Cross-layer Contrastive Learning.
.- Meta-User2Vec: Recommendations Based on Embeddings for Users and Products Using Meta-data.
.- Semantic-guided Data Augmentation and Filtering for Sequential Recommendation.
.- Recommender Systems III.
.- GACS: Graph Contrastive Learning with Augmented Collaborative Signals for Recommendation.
.- ReGeS: Reciprocal Retrieval-Generation Synergy for Conversational Recommender Systems.
.- Ontology-Enhanced RAG Architecture for Sensory-Aware Food Recommendation.
.- LSA: A Long-Short-term Aspect Interest Transformer for Aspect-Based Recommendation.
.- Route Optimisation and Networks.
.- A Comparative Study on Sub-route Merging Ways for Clustering Assisted Ant Colony Optimization to Solve Large-Scale Traveling Salesman Problem.
.- A Comparative Analysis of Ant Colony Optimization for Mobile Robot Route Optimization.
.- An Effective Multi-Hop Ride-Sharing Algorithm on Large-Scale Road Networks.
.- Interval Based Constrained Path Optimization in Time-Dependent Road Networks.
.- Large Language Models II.
.- HALIFacts: Evaluating Large Language Models for Domain-Specific Fact-Checking and Their Carbon Impact.
.- A Hybrid AI System for Evaluating Media Representation of Violence and Inequality.
.- TCM-Eval: A Multi-dimensional Benchmark Framework for Evaluating Large Language Models in Traditional Chinese Medicine.
.- Boosting Pre-trained Language Models for Temporal Knowledge Graph Reasoning via Joint Structure and Recurring Patterns.
.- Knowledge Graphs II.
.- On Large-scale Evaluation of Embedding Models for KG Completion.
.- Analysis Neuro-Symbolic Embedding Approaches: Assessing Knowledge Representation and Latent Space Reasoning Capabilities.
.- RAG-KT: Retrieval Augmented Generation based Difficulty Estimation for Knowledge Tracing.
.- BiRKGC: Bidirectional Relation and Graph-Aware Model for Knowledge Graph Completion.
.- Information Retrieval and Keywords.
.- MAGIC-Enhanced Keyword Prompting for Zero-Shot Audio Captioning with CLIP Models.
.- ESGTabQA: Open-Domain Question Answering on High-Cardinality ESG Tables.
.- Finding Top-k Keywords-Aware Optimal Routes: A Splice-Based Expansion Approach.
.- Backbone-based Neighbor Transferring Proximity Graph for Fast Inner Product Retrieval.
.- Graph Models and Methods.
.- Counting the Number of Hop-Constrained Simple s-t Paths in Large Graphs.
.- MambaTSC: Towards Robust Time Series Completion via Multi-Scale Temporal Enhancement and Score-Gated Graph Modeling.
.- Fake News Detection with Hypergraph Neural Networks via Leveraging User-Topic Interactions.
.- Aspect-oriented GraphQL.
.- Human-Centred Applications and Services.
.- DIVE - A Neuro-Symbolic and User-Centered Approach for Data Insight Visualization.
.- Pose-guide Feature Restoration Transformer for Occluded Person Re-identification.
.- A Fine-Grained Predictive Stress Quantification Framework for Drivers with Autism Spectrum Disorder in Inclusive Smart Mobility.
.- PersoDPO: Scalable Preference Optimization for Instruction-Adherent, Persona-Grounded Dialogue via Multi-LLM Evaluation.
.- Distributed Data and Code Generation.
.- Controllable Structured Data Generation and Augmentation Mechanism for Power Grid Applications.
.- A Distributed Sharing Model for EMRs Based on Hybrid Consortium Chain and Stackelberg Game.
.- CODE ACROSTIC: Robust Watermarking for Code Generation.
.- Reimagining Attentional Copulas: A Transformer-Based Approach with Proportional Dependency Learning.