yusuke1997/dblp-id-title huggingface dataset:
LHMformer: Long-Range Historical Memory-Enhanced Transformer for Traffic Forecasting
Enhancing Repeat-Aware Recommendation from a Temporal-Sequential Perspective
Efficient Probabilistic Supergraph Search Over Large Uncertain Graphs
Cross language information retrieval based on concept base and language grid
ConCET: Entity-Aware Topic Classification for Open-Domain Conversational Agents
Representation of Medical Guidelines on Top of a Classification-Based System
Joint deduplication of multiple record types in relational data
TLCCSP: A Scalable Framework for Enhancing Time Series Forecasting with Time-Lagged Cross-Correlations
Exploiting Cluster-based Meta Paths for Link Prediction in Signed Networks
T-REX: A Topic-Aware Relation Extraction Model
A Meta-reasoner to Rule Them All: Automated Selection of OWL Reasoners Based on Efficiency
Integrating Fair Representation Learning with Fairness Regularization for Intersectional Group Fairness
What Can Researches Do to Improve Security of Data and Documents?
Ontology authoring with FORZA
Aggregate queries over ontologies
Image Matters: Visually Modeling User Behaviors Using Advanced Model Server
BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting
Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling
Whole-Chain Recommendations
Finding associations among SNPS for prostate cancer using collaborative filtering
Concurrency Control in Federated Databases: A Dynamic Approach
Dynamic Graph-based Deep Reinforcement Learning with Long and Short-term Relation Modeling for Portfolio Optimization
FedGC: Contrastive-enhanced Subgraph Federated Learning with Grouping Pseudo-Label
Extract knowledge from semi-structured websites for search task simplification
PRO: Preference-Aware Recurring Query Optimization
Cloning for privacy protection in multiple independent data publications
Clustering Enhancement for a Token-Based Recommender
Polar: An Architecture for a Parallel ODMG Compliant Object Database
CPSRank: Unsupervised Keyphrase Extraction via Contextual Perturbation
How to Find It Better?: Cross-Learning for WeChat Mini Programs
Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era
KDDCS: a load-balanced in-network data-centric storage scheme for sensor networks
A Zero Attention Model for Personalized Product Search
A user interaction model based on the principle of polyrepresentation
A web-based comparative visualization system for human endogenous RetroVirus(HERV) on whole genomes
Multi-task Generative Adversarial Network for Missing Mobility Data Imputation
GraFS: An Integrated GNN-LLM Approach for Inferring Best Functional Substitute Products
Understanding and Modeling Collision Avoidance Behavior for Realistic Crowd Simulation
Discovering the representative of a search engine
Boosting Few-shot Abstractive Summarization with Auxiliary Tasks
Heuristic containment check of partial tree-pattern queries in the presence of index graphs
MRCLQR: A Framework for Logical Query Reasoning Based on Multi-information Relation Constraints
Advancing Re-Ranking with Multimodal Fusion and Target-Oriented Auxiliary Tasks in E-Commerce Search
G-SPARQL: a hybrid engine for querying large attributed graphs
Improving the performance of the reinforcement learning model for answering complex questions
Travel distance versus navigation complexity: a study on different spatial queries on road networks
Understanding the Impact of the Role Factor in Collaborative Information Retrieval
A Power Method to Alleviate Over-smoothing for Recommendation
Semantic context learning with large-scale weakly-labeled image set
TAKES: a fast method to select features in the kernel space
Generating Paraphrase with Topic as Prior Knowledge
Link Prediction in Heterogeneous Social Networks
Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection
Video Popularity Prediction by Sentiment Propagation via Implicit Network
Synergistic Disease Similarity Measurement via Unifying Hierarchical Relation Perception and Association Capturing
Using negative voting to diversify answers in non-factoid question answering
Blog cascade affinity: analysis and prediction
A Joint Training-Calibration Framework for Test-Time Personalization with Label Shift in Federated Learning
Extending Faceted Search to the General Web
Benchmarking domain-specific expert search using workshop program committees
Gumshoe quality toolkit: administering programmable search
Comparative document summarization via discriminative sentence selection
From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction
Revealing the Power of Masked Autoencoders in Traffic Forecasting
Into the Battlefield: Quantifying and Modeling Intra-community Conflicts in Online Discussion
Oblivious Johnson-Lindenstrauss embeddings for compressed Tucker decompositions
Tightly coupling visual and linguistic features for enriching audio-based web browsing experience
ContentWise Impressions: An Industrial Dataset with Impressions Included
Semantic annotations in clinical documentation: exploring potentials for future information retrieval
Entity and Aspect Extraction for Organizing News Comments
AutoSeqRec: Autoencoder for Efficient Sequential Recommendation
Levels of Reasoning as the Basis for a Formalisation of Argumentation
Session-based Recommendation with Hierarchical Memory Networks
PLASMA: A Semantic Modeling Tool for Domain Experts
On the difficulty of clustering company tweets
Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management, Washington, DC, USA, November 8-13, 2004
Ontology-based Graph Visualization for Summarized View
Efficient Enumeration of Frequent Sequences
Adaptive Cascading Network for Continual Test-Time Adaptation
Categorizing information objects from user access patterns
Constructing Set-Compositional and Negated Representations for First-Stage Ranking
MTKDN: Multi-Task Knowledge Disentanglement Network for Recommendation
Reconciling ontologies and the web of data
Probabilistic models of ranking novel documents for faceted topic retrieval
Finding unusual review patterns using unexpected rules
Adding Robustness to Support Vector Machines Against Adversarial Reverse Engineering
Generative Graph Augmentation for Minority Class in Fraud Detection
Semantic data markets: a flexible environment for knowledge management
k-Means SubClustering: A Differentially Private Algorithm with Improved Clustering Quality
Scaling Vison-Language Foundation Model to 12 Billion Parameters in Baidu Dynamic Image Advertising
Towards a theoretical formalization of conversational recommendation
Scenic Routes Now: Efficiently Solving the Time-Dependent Arc Orienteering Problem
Distributed Deep Learning for Question Answering
Deco: declarative crowdsourcing
Robust periodicity detection algorithms
An Euclidean Distance based on the Weighted Self-information Related Data Transformation for Nominal Data Clustering
Facetedpedia: enabling query-dependent faceted search for wikipedia
Advances in data stream mining for mobile and ubiquitous environments
Ensembled CTR Prediction via Knowledge Distillation
User Modeling on Twitter with WordNet Synsets and DBpedia Concepts for Personalized Recommendations
Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation
Advanced News Event Clustering via Topic Enhanced Modeling with Multi-Aspect Contrastive Learning
The 3rd International Workshop on Mining and Learning in the Legal Domain
Modeling dynamics of meta-populations with a probabilistic approach: global diffusion in social media
Multi-task learning for learning to rank in web search
Narrow or Broad?: Estimating Subjective Specificity in Exploratory Search
Coupled Sparse Matrix Factorization for Response Time Prediction in Logistics Services
SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance
FRec: a novel framework of recommending users and communities in social media
Proceedings of the ACM 8th International Workshop on Data and Text Mining in Bioinformatics, DTMBIO@CIKM 2014, Shanghai, China, November 7, 2014
Open and Closed Schema for Aligning Knowledge and Text Collections
tHoops: A Multi-Aspect Analytical Framework for Spatio-Temporal Basketball Data
Instance- and bag-level manifold regularization for aggregate outputs classification
A Problem-Action Relation Extraction Based on Causality Patterns of Clinical Events in Discharge Summaries
Explore, Filter and Distill: Distilled Reinforcement Learning in Recommendation
Objectionable content filtering by click-through data
A Demonstration of PKGem: Secure Enrichment of Personal Knowledge Graphs
The surplus value of semantic annotations
Smoothing DCG for learning to rank: a novel approach using smoothed hinge functions
Simulating Users in Interactive Web Table Retrieval
Recursive Query Processing Using Graph Traversal Techniques
Proximity 2 -aware ranking for textual, temporal, and geographic queries
Do they belong to the same class: active learning by querying pairwise label homogeneity
A lightweight framework for reproducible parameter sweeping in information retrieval
'Biblioteca de livros digitais': the privileged space of a transliterate experience for children reading online
The monitoring of complex active rules with vector representation
Using Machine Learning to Improve the Email Experience
MV-BART: Multi-view BART for Multi-modal Sarcasm Detection
Sparse structured probabilistic projections for factorized latent spaces
Knowledge Distillation via Hypersphere Features Distribution Transfer
Graph Prototypical Networks for Few-shot Learning on Attributed Networks
Revisiting the relationship between document length and relevance
Community Partition-based Source Localization with Adaptive Observers Deployment
Semantic convolution kernels over dependency trees: smoothed partial tree kernel
Explainable and Coherent Complement Recommendation Based on Large Language Models
D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning
A first step towards automated conjecture-making in higher arithmetic geometry
Shared Embedding Based Neural Networks for Knowledge Graph Completion
Automatic creation of a reference corpus for political opinion mining in user-generated content
Balancing Exploration and Exploitation: Empirical Parameterization of Exploratory Search Systems
swMATH - Challenges, Next Steps, and Outlook
A Weakly Supervised Approach for Adaptive Detection of Cyberbullying Roles
DAS-CL: Towards Multimodal Machine Translation via Dual-Level Asymmetric Contrastive Learning
On the complexity of schema inference from web pages in the presence of nullable data attributes
How to interpret the helpfulness of online product reviews: bridging the needs between customers and designers
Electronic Catalogs: a Technology Overview and Survey Results
A survey of noise reduction methods for distant supervision
Smoothing with Fake Label
MOAT: Graph Prompting for 3D Molecular Graphs
ECMA: An Efficient Convoy Mining Algorithm for Moving Objects
Higher-order Structure and Semantics-enhanced User Profiling for Recommendation
A design rationale representation model using patent documents
Data Driven Water Pipe Failure Prediction: A Bayesian Nonparametric Approach
Multi-Emotion Category Improving Embedding for Sentiment Classification
Ontology emergence from folksonomies
AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs
Towards Uncertainty Quantification for Time Series Segmentation
Social capital in online communities
ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions
Incremental Update Summarization: Adaptive Sentence Selection based on Prevalence and Novelty
Practical representations for web and social graphs
Dynamic Explicit Embedding Representation for Numerical Features in Deep CTR Prediction
Supporting Complex Search Tasks
Weakly-Supervised Neural Text Classification
Efficient Techniques for Adaptive Hypermedia
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction
Dual-Process Graph Neural Network for Diversified Recommendation
Skyline in Crowdsourcing with Imprecise Comparisons
Exploiting temporal contexts in text classification
Querying Temporal Drifts at Multiple Granularities
Translating Description Logics to Information Server Queries
Hybrid MemNet for Extractive Summarization
Interactive and context-aware tag spell check and correction
A Collaborative Ranking Model for Cross-Domain Recommendations
Robust Sequence-Based Self-Supervised Representation Learning for Anti-Money Laundering
Diversification and refinement in collaborative filtering recommender
Investigating the Usage and Evaluation of Quantum Computing Technologies for Information Access
Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm
A multi-functional architecture addressing workflow and service challenges using provenance data
Baseline for Urdu IR evaluation
Dynamic covering for recommendation systems
Evaluating Document Retrieval in Patent Database: A Preliminary Report
Semantics of an Extended Relational Model for Managing Uncertain Information
Leveraging Scalable Profiling to Learn and Visualize the Latest Trustworthy COVID-19 Medical Research Findings
Distributed Knowledge Revision/Integration
Acquiring advanced properties in ontology mapping
Open-Schema Event Profiling for Massive News Corpora
SEQ: Example-based Query for Spatial Objects
PEQ: An Explainable, Specification-based, Aspect-oriented Product Comparator for E-commerce
Author-conference topic-connection model for academic network search
GIA: An Agent-Based Architecture for Intelligent Tutoring Systems
Hierarchical Prompt Tuning for Few-Shot Multi-Task Learning
DuARUS: Automatic Geo-object Change Detection with Street-view Imagery for Updating Road Database at Baidu Maps
Ads Supply Personalization via Doubly Robust Learning
Active real-time database management for command & control applications
Mashup-based information retrieval for domain experts
On the design of LDA models for aspect-based opinion mining
Scalable sequential pattern mining for biological sequences
The µ-RA System for Recursive Path Queries over Graphs
A linear-time approximation of the earth mover's distance
Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models
Towards a Quantum-Inspired Framework for Binary Classification
Towards Maintaining Consistency of Spatial Databases
Efficient Multi-Task Learning via Generalist Recommender
Joint topic modeling for event summarization across news and social media streams
Data Cube Approximation and Histograms via Wavelets
CyberSafety 2016 Panel Discussion
Training Sensitivity in Graph Isomorphism Network
Path-hop: efficiently indexing large graphs for reachability queries
PriPeARL: A Framework for Privacy-Preserving Analytics and Reporting at LinkedIn
Constructing Information Systems Based on Schema Reuse
Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting
GFlowNet with Gradient-based Optimization for Bayesian Network Structure Learning
Dynamic Clustering of Contextual Multi-Armed Bandits
hopwise: A Python Library for Explainable Recommendation based on Path Reasoning over Knowledge Graphs
Transfer learning from multiple source domains via consensus regularization
Toward a Semantics for a Speech Act Based Agent Communications Language
Ensembles for Outlier Detection and Evaluation
Collective Traffic Prediction with Partially Observed Traffic History using Location-Based Social Media
Contextual Text Understanding in Distributional Semantic Space
Entity ranking using Wikipedia as a pivot
Dynamic Hypergraph Learning for Collaborative Filtering
Coarse-to-fine sentence-level emotion classification based on the intra-sentence features and sentential context
Unsupervised identification of synonymous query intent templates for attribute intents
Supporting queries spanning across phases of evolving artifacts using Steiner forests
Structure-Attribute Transformations with Markov Chain Boost Graph Domain Adaptation
Fair&Share: Fast and Fair Multi-Criteria Selections
Data Augmentation for Graph Classification
An extended cooperative transaction model for xml
Decomposition-by-normalization (DBN): leveraging approximate functional dependencies for efficient tensor decomposition
Predicting Popularity of Twitter Accounts through the Discovery of Link-Propagating Early Adopters
MMPolymer: A Multimodal Multitask Pretraining Framework for Polymer Property Prediction
Efficient Incremental Evaluation of Succinct Regular Expressions
Statistical transliteration for english-arabic cross language information retrieval
AdaDebunk: An Efficient and Reliable Deep State Space Model for Adaptive Fake News Early Detection
Educating the Next Generation of Information and Knowledge Experts, in Collaboration with Industry (Keynote Address)
Collective multi-label classification
Multi-task Sparse Structure Learning
Content-Based Email Classification at Scale
Using Word Embeddings for Information Retrieval: How Collection and Term Normalization Choices Affect Performance
Supervised Dynamic Topic Models for Associative Topic Extraction with A Numerical Time Series
A Multi-Scale Temporal Feature Aggregation Convolutional Neural Network for Portfolio Management
Evaluating topic models for information retrieval
Content-based retrieval in hybrid peer-to-peer networks
On popularity prediction of videos shared in online social networks
Discovering trending phrases on information streams
Will This Online Shopping Session Succeed? Predicting Customer's Purchase Intention Using Embeddings
CurrentClean: Interactive Change Exploration and Cleaning of Stale Data
Product Retrieval and Ranking for Alphanumeric Queries
Novelty detection based on sentence level patterns
Aligning Large Language Models to a Domain-specific Graph Database for NL2GQL
Automatic Catchphrase Identification from Legal Court Case Documents
MIKE: Keyphrase Extraction by Integrating Multidimensional Information
A mapping mechanism to support bitmap index and other auxiliary structures on tables stored as primary B±trees
ESA: emergency situation awareness via microbloggers
Spatial-temporal query homogeneity for KNN object search on road networks
Mining gene expression datasets using density-based clustering
Entity and Relation Matching Consensus for Entity Alignment
Map search via a factor graph model
Temporal Reconciliation for Dating Photographs Using Entity Information
Infrastructure and workflow for the formal evaluation of semantic search technologies
CNN-IETS: A CNN-based Probabilistic Approach for Information Extraction by Text Segmentation
ANITA: a narrative interpretation of taxonomies for their adaptation to text collections
From Rules to Flexibility: A Resource and Method for SEC Item Extraction in Post-2021 10-K Filings
Query recommendation for children
Using a Sequential Index in Terrain-Aided Navigation
Knowledge Graph Error Detection with Hierarchical Path Structure
EFFECTS: Explorable and Explainable Feature Extraction Framework for Multivariate Time-Series Classification
CAGCL: A Community-Aware Graph Contrastive Learning Model for Social Bot Detection
FORCE on Nextflow: Scalable Analysis of Earth Observation Data on Commodity Clusters
Executable Knowledge Graph for Transparent Machine Learning in Welding Monitoring at Bosch
A dual-view approach to interactive network visualization
Inductive Matrix Completion Using Graph Autoencoder
GradAlign+: Empowering Gradual Network Alignment Using Attribute Augmentation
Using random walks for multi-label classification
Efficient resource attribute retrieval in RDF triple stores
Identifying Latent Study Habits by Mining Learner Behavior Patterns in Massive Open Online Courses
Adaptive Multi-Source Causal Inference from Observational Data
Proceedings of the 7th International Workshop on Exploiting Semantic Annotations in Information Retrieval, ESAIR '14, Shanghai, China, November 7, 2014
A spam resistant family of concavo-convex ranks for link analysis
Session-based Recommendation with Dual Graph Networks
Just-In-Time Databases and the World-Wide Web
Voting in social networks
Object and Query Transformation: Supporting Multi-Dimensional Queries through Code Reuse
Multiview hierarchical bayesian regression model andapplication to online advertising
FGITrans: Cross-City Transformer for Fine-grained Urban Flow Inference
Accelerating CNN via Dynamic Pattern-based Pruning Network
Genre and domain in patent texts
An integrated environment for semantic knowledge work
Opinion digger: an unsupervised opinion miner from unstructured product reviews
Ensemble Block Co-clustering: A Unified Framework for Text Data
Proceedings of the Fourth International Workshop on Cloud Data Management, CloudDB 2012, Maui, HI, USA, October 29, 2012
VidLife: A Dataset for Life Event Extraction from Videos
Message Clustering based Matrix Factorization Model for Retweeting Behavior Prediction
Hashtag Recommendation Based on Topic Enhanced Embedding, Tweet Entity Data and Learning to Rank
Collaborative partitioning with maximum user satisfaction
Curriculum Guided Personalized Subgraph Federated Learning
Pairwise statistical significance of local sequence alignment using multiple parameter sets
Learning Graph-based POI Embedding for Location-based Recommendation
Commentary-based video categorization and concept discovery
Search-log anonymization and advertisement: are they mutually exclusive?
An Analysis of the Structural Validity of Ternary Relatinships in Entity Relationship Modeling
CP/CV: concept similarity mining without frequency information from domain describing taxonomies
Adapting a Spatial Access Structure for Document Representations in Vector Space
A study on query expansion methods for patent retrieval
Query expansion using random walk models
The walls have ears: optimize sharing for visibility and privacy in online social networks
FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop
Chronological Citation Recommendation with Information-Need Shifting
Consortium: A Framework for Transaction Collaborative Environments
Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR framework
Auto-generation of topic hierarchies for web images from users' perspectives
International Workshop on Model Selection and Parameter Tuning in Recommender Systems
On the use of semantic knowledge bases for temporally-aware entity retrieval
A Knowledge-Based Patient Data Acquisition System for Primary Care Medicine
MomNet: Gender Prediction using Mechanism of Working Memory
Workshop on multimodal crowd sensing (CrowdSens 2012)
Defragging Subgraph Features for Graph Classification
Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation
XPL-CF: Explainable Embeddings for Feature-based Collaborative Filtering
MLPST: MLP is All You Need for Spatio-Temporal Prediction
A new method for indexing genomes using on-disk suffix trees
Intent-aware query similarity
On Evaluation Metrics for Diversity-enhanced Recommendations
Efficient two-party private blocking based on sorted nearest neighborhood clustering
Soft Frequency Capping for Improved Ad Click Prediction in Yahoo Gemini Native
The social (open) workspace
Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing
EAPformer: Entropy-Aware Patch Transformer for Multivariate Long-Term Time Series Forecasting
The TELLTALE Dynamic Hypertext Environment: Approaches to Scalability
PACIFIC: Enhancing Sequential Recommendation via Preference-aware Causal Intervention and Counterfactual Data Augmentation
Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images
Topic-dependent sentiment analysis of financial blogs
An Empirical Study on Clarifying Question-Based Systems
Strategies for minimising errors in hierarchical web categorisation
Learning Chinese Word Embeddings from Stroke, Structure and Pinyin of Characters