yusuke1997/dblp-id-title huggingface dataset:
Scalable community discovery on textual data with relations
Topic modeling for named entity queries
The Metadata Impedance Mismatch between Databases and Programming Languages
CasJoin: a cascade chain for text similarity joins
NLP for Student and Teacher: Concept for an AI based Information Literacy Tutoring System
Sketching Streaming Histogram Elements using Multiple Weighted Factors
Visualet: Visualizing Shapelets for Time Series Classification
Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation
User Models for Customized Hypertext
Embedding Partial Propagation Network for Fake News Early Detection
Efficient Retrieval for Browsing Large Image Databases
EHR Coding with Multi-scale Feature Attention and Structured Knowledge Graph Propagation
Mixed-initiative conversational system using question-answer pairs mined from the web
Structural Entropy-based Multivariate Time Series Forecasting
Time Lag Aware Sequential Recommendation
GReS: Graphical Cross-domain Recommendation for Supply Chain Platform
High Impact Academic Paper Prediction Using Temporal and Topological Features
GYANI: An Indexing Infrastructure for Knowledge-Centric Tasks
Efficient frequent pattern mining over data streams
Does word sense disambiguation improve information retrieval?
Challenges in personalized authority flow based ranking of social media
Tracking Knowledge Proficiency of Students with Educational Priors
CLEAR: A Fully User-side Image Search System
Supervised matching of comments with news article segments
Memory Augmented Graph Learning Networks for Multivariate Time Series Forecasting
A knowledge-rich approach to feature-based opinion extraction from product reviews
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
From big data to big knowledge
CMG: A Causality-enhanced Multi-view Graph Model for Stock Trend Prediction
Hyper Questions: Unsupervised Targeting of a Few Experts in Crowdsourcing
Text mining for pharmacogenomics
Demonstrating SubStrat: A Subset-Based Strategy for Faster AutoML on Large Datasets
GAKG: A Multimodal Geoscience Academic Knowledge Graph
OmpiJava: a tool for development of high-performance reasoning applications for the semantic web
Privacy-Preserving Classification with Secret Vector Machines
Multivariate classification of urine metabolome profiles for breast cancer diagnosis
Enriching Pre-trained Language Model with Entity Information for Relation Classification
Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum
Towards a Framework for Integrating Multilevel Secure Models and Temporal Data Models
Distilling Knowledge from BERT into Simple Fully Connected Neural Networks for Efficient Vertical Retrieval
PROSPECT: Learn MLPs on Graphs Robust against Adversarial Structure Attacks
Instagrammers, Fashionistas, and Me: Recurrent Fashion Recommendation with Implicit Visual Influence
An analysis of systematic judging errors in information retrieval
Applying weighted queries on probabilistic databases
Workshop On Large Language Models' Interpretability and Trustworthiness (LLMIT)
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research
KIEM: A Knowledge Graph based Method to Identify Entity Morphs
Deep Adversarial Network Alignment
Modeling document features for expert finding
Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement
Exploiting Document Content for Efficient Aggregation of Crowdsourcing Votes
Task-based process know-how reuse and proactive information delivery in TaskNavigator
Measuring User Satisfaction on Smart Speaker Intelligent Assistants Using Intent Sensitive Query Embeddings
NeutronCache: An Efficient Cache-Enhanced Distributed Graph Neural Network Training System
Efficient extraction of ontologies from domain specific text corpora
Efficient record-level wrapper induction
Modeling a Vocabulary in an Object-Oriented Database
Generating Full Spatiotemporal Vehicular Paths: A Data Fusion Approach
Towards Edge-Cloud Collaborative Machine Learning: A Quality-aware Task Partition Framework
Efficient retrieval of 3D building models using embeddings of attributed subgraphs
Deep Ensemble Learning for Legal Query Understanding
Towards Fully-Automated Materials Discovery via Large-Scale Synthesis Dataset and Expert-Level LLM-as-a-Judge
Quark-X : An Efficient Top-K Processing Framework for RDF Quad Stores
Optimizing plurality for human intelligence tasks
Toward a more rational patent search paradigm
Towards large-scale twitter mining for drug-related adverse events
Document update summarization using incremental hierarchical clustering
XML schema computations: schema compatibility testing and subschema extraction
A machine learning approach for improved BM25 retrieval
Sequential Optimum Test with Multi-armed Bandits for Online Experimentation
Performance and Implications of Semantic Indexing in a Distributed Environment
Creative Storytelling with Language Models and Knowledge Graphs
Temporality- and Frequency-aware Graph Contrastive Learning for Temporal Network
Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network
Learning to rank for hybrid recommendation
Discovering approximate keys in XML data
Efficient Multimodal Streaming Recommendation via Expandable Side Mixture-of-Experts
Drive Less but Finish More: Food Delivery based on Multi-Level Workers in Spatial Crowdsourcing
Large-scale item categorization for e-commerce
Estimating selectivity for joined RDF triple patterns
Local, Domain-independent Heuristics for the FEIII Challenge: Lessons and Observations
A code generation approach to optimizing high-performance distributed data stream processing
Proceedings of the 2008 ACM Workshop on Research Advances in Large Digital Book Repositories, BooksOnline 2008, Napa Valley, California, USA, October 30, 2008
Neural Gender Prediction in Microblogging with Emotion-aware User Representation
Application of Knowledge Base Design Techniques to Genetic Markers
NR-GCF: Graph Collaborative Filtering with Improved Noise Resistance
Normalizing Knowledge Objects
A Model-Agnostic Method to Interpret Link Prediction Evaluation of Knowledge Graph Embeddings
Concept search in Urdu
LuPe: A System for Personalized and Transparent Data-driven Decisions
Attacking Visually-aware Recommender Systems with Transferable and Imperceptible Adversarial Styles
Ix-cubes: iceberg cubes for data warehousing and olap on xml data
Distributed Ledger Technology for Document and Workflow Management in Trade and Logistics
Graph-based Weakly Supervised Framework for Semantic Relevance Learning in E-commerce
RDF Keyword Search based on Keywords-To-SPARQL Translation
J-REED: Joint Relation Extraction and Entity Disambiguation
PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning
Item-based variational auto-encoder for fair music recommendation
STP-TrellisNets: Spatial-Temporal Parallel TrellisNets for Metro Station Passenger Flow Prediction
Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, Georgia, USA, October 17-21, 2022
An Automated Approach for Retrieving Hierarchical Data from HTML Tables
Attributed Network Embedding for Learning in a Dynamic Environment
Context-aware top-K processing using views
Practice on Effectively Extracting NLP Features for Click-Through Rate Prediction
Region Profile Enhanced Urban Spatio-Temporal Prediction via Adaptive Meta-Learning
Rule-based construction of matching processes
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities
A consensus based approach to constrained clustering of software requirements
Predicting product adoption in large-scale social networks
Task-Difficulty-Aware Meta-Learning with Adaptive Update Strategies for User Cold-Start Recommendation
Towards non-intrusive elastic query processing in the cloud
CRUX: Adaptive Querying for Efficient Crowdsourced Data Extraction
Star-Join: spatio-textual similarity join
Health Forum Thread Recommendation Using an Interest Aware Topic Model
A hybrid index structure for geo-textual searches
Learning to be Relevant: Evolution of a Course Recommendation System
Queries in Object-Oriented Database Systems
AGENTiGraph: A Multi-Agent Knowledge Graph Framework for Interactive, Domain-Specific LLM Chatbots
Learning from mistakes: towards a correctable learning algorithm
Sybil Defense in Crowdsourcing Platforms
CFOM: Lead Optimization For Drug Discovery With Limited Data
Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation
Perturbation-Based Two-Stage Multi-Domain Active Learning
Indexing methods for efficient protein 3D surface search
Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal Point Processes
Constructing test collections by inferring document relevance via extracted relevant information
Scalable Manifold-Regularized Attributed Network Embedding via Maximum Mean Discrepancy
Towards Deep and Representation Learning for Talent Search at LinkedIn
Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning
Static and Dynamic Information Organization with Star Clusters
MMFair: Fair Learning via Min-Min Optimization
RCached-tree: an index structure for efficiently answering popular queries
Mining characteristic multi-scale motifs in sensor-based time series
Fast optimization of weighted sparse decision trees for use in optimal treatment regimes and optimal policy design
Effective and efficient classification on a search-engine model
A General Language Model for Information Retrieval
Performance Evaluation of G-tree and Its Application in Fuzzy Databases
STaR: Space and Time-aware Statistic Query Answering
REDUS: finding reducible subspaces in high dimensional data
GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps
Personalizing Task-oriented Dialog Systems via Zero-shot Generalizable Reward Function
A Mixture of Experts in Forecasting Student Performance in Classroom Programming Activities
Measuring article quality in wikipedia: models and evaluation
Frequent pattern-growth approach for document organization
Learning the Mapping Rules for Sentiment Analysis
AR 2 : Adversarial Reinforcement Learning for Abstract Reasoning in Large Language Models
More or better: on trade-offs in compacting textual problem solution repositories
Who should I cite: learning literature search models from citation behavior
Extracting structured information from Wikipedia articles to populate infoboxes
PRemiSE: personalized news recommendation via implicit social experts
Improving Long-Tail Item Recommendation with Graph Augmentation
Mutual Information-Driven Multi-View Clustering
Coupling or decoupling for KNN search on road networks?: a hybrid framework on user query patterns
CityTraffic: Modeling Citywide Traffic via Neural Memorization and Generalization Approach
SC-DAG: Semantic-Constrained Diffusion Attacks for Stealthy Exposure Manipulation in Visually-Aware Recommender Systems
DiHAN: A Novel Dynamic Hierarchical Graph Attention Network for Fake News Detection
OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction
Learning Conditional Probability Distributions for Robust Probabilistic Inference in Bayesian Network
Pedagogy-R1: Pedagogical Large Reasoning Model and Well-balanced Educational Benchmark
A Large Test Collection for Entity Aspect Linking
Crowd-enabled Pareto-Optimal Objects Finding Employing Multi-Pairwise-Comparison Questions
Communities in graphs and hypergraphs
Toward Secure Federated Partial Label Learning Against Poisoning Attacks
Mining direct antagonistic communities in explicit trust networks
Approximate String Matching by End-Users using Active Learning
Predicting short-term interests using activity-based search context
Exploring simultaneous keyword and key sentence extraction: improve graph-based ranking using wikipedia
Multi-Ontology Integration with Dual-Axis Propagation for Medical Concept Representation
StatioCL : Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast
Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean
3DString: a feature string kernel for 3D object classification on voxelized data
iMap: Incremental Node Mapping between Large Graphs Using GNN
DataDoc Analyzer: A Tool for Analyzing the Documentation of Scientific Datasets
Meta path-based collective classification in heterogeneous information networks
A Lossy Compression Method on Positional Index for Efficient and Effective Retrieval
Interpretable Meta-weighting Sparse Neural Additive Networks for Datasets with Label Noise and Class Imbalance
A structure-sensitive framework for text categorization
AdaSim: A Recursive Similarity Measure in Graphs
Sequential Query Expansion using Concept Graph
CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods
MORPHER: Structural Transformation of Ill-formed Rows
Utilization of navigational queries for result presentation and caching in search engines
Detecting Phosphorylation Determined Active Protein Interaction Network during Cancer Development by Robust Network Component Analysis
Workshop on Document Intelligence Understanding
Multi-Dimensional Sequential Pattern Mining
Beyond hyperlinks: organizing information footprints in search logs to support effective browsing
An extension of PLSA for document clustering
Matching product titles using web-based enrichment
Event gazetteers for navigating humanities resources
P-Rank+: A Scalable Efficient P-Rank Search Algorithm
DocPolicyKG: A Lightweight LLM-Based Framework for Knowledge Graph Construction from Chinese Policy Documents
Adapting vector space model to ranking-based collaborative filtering
NICE: Neural In-Hospital Cost Estimation from Medical Records
Towards an effective and unbiased ranking of scientific literature through mutual reinforcement
Jailbreaking LLMs Through Alignment Vulnerabilities in Out-of-Distribution Settings
Learning Multiple Intent Representations for Search Queries
Extracting Interest Tags for Non-famous Users in Social Network
A hybrid approach for efficient provenance storage
Budget-constrained Truss Maximization over Large Graphs: A Component-based Approach
dEFEND: A System for Explainable Fake News Detection
MERLIN: Multimodal & Multilingual Embedding for Recommendations at Large-scale via Item Associations
Identifying Your Customers in Social Networks
Information propagation in social rating networks
Towards generic framework for tabular data extraction and management in documents
Applied Machine Learning Methods for Time Series Forecasting
Enhancing the Network Embedding Quality with Structural Similarity
When Labels Fall Short: Property Graph Simulation via Blending of Network Structure and Vertex Attributes
MrMine: Multi-resolution Multi-network Embedding
Large-scale Knowledge Base Completion: Inferring via Grounding Network Sampling over Selected Instances
KuaiSAR: A Unified Search And Recommendation Dataset
KG4Ex: An Explainable Knowledge Graph-Based Approach for Exercise Recommendation
Structural Analysis of Contract Renewals
Multimodal Misinformation Detection using Large Vision-Language Models
Semi-supervised ranking aggregation
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach
A fine-grained taxonomy of tables on the web
Graph hashing and factorization for fast graph stream classification
When Rank Order Isn't Enough: New Statistical-Significance-Aware Correlation Measures
Personalized Query Suggestion with Searching Dynamic Flow for Online Recruitment
Delineating social network data anonymization via random edge perturbation
Chinese syntactic parsing based on linguistic entity-relationship model
Workload-aware indexing for keyword search in social networks
SMAD: Scalable Multi-view Ad Retrieval System for E-Commerce Sponsored Search
DashBot: An ML-Guided Dashboard Generation System
Learning Fuzzy Knowledge from Training Examples
Ordinal Association Rules for Error Identification in Data Sets
Information Extraction from Social Media: A Hands-on Tutorial on Tasks, Data, and Open Source Tools
Scalable indexing of RDF graphs for efficient join processing
REDI: Recurrent Diffusion Model for Probabilistic Time Series Forecasting
Text summarization model based on the budgeted median problem
Understanding Stability of Noisy Networks through Centrality Measures and Local Connections
A Context-Enhanced Generate-then-Evaluate Framework for Chinese Abbreviation Prediction
On the inference of average precision from score distributions
Hierarchical image annotation using semantic hierarchies
Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification
Session details: Mining clinical data and text
Agent Tcl: A transportable agent system
SimpleX: A Simple and Strong Baseline for Collaborative Filtering
A private living lab for requirements based evaluation
Feature selection for link prediction
BiListing: Modality Alignment for Listings
Finding and linking incidents in news
Enabling information extraction by inference of regular expressions from sample entities
Reinforced Active Entity Alignment
Parallelizing the buckshot algorithm for efficient document clustering
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models
FedCDR: Federated Cross-Domain Recommendation for Privacy-Preserving Rating Prediction
Improving Co-Cluster Quality with Application to Product Recommendations
Markov logic: a unifying language for knowledge and information management
EgoCentric: Ego Networks for Knowledge-based Short Text Classification
Vandals and Hoaxes on the Web
Locale-Aware Product Type Prediction for E-commerce Search Queries
Versatile structural disambiguation for semantic-aware applications
Data Security and Privacy on Intelligent Environments
Locally contextualized smoothing of language models for sentiment sentence retrieval
MACRON: An Architecture for Multi-agent Cooperative Information Gathering
Hierarchical two-tier ensemble learning: a new paradigm for network intrusion detection
FinCast: A Foundation Model for Financial Time-Series Forecasting
"All roads lead to Rome": optimistic recovery for distributed iterative data processing
TwiSent: a multistage system for analyzing sentiment in twitter
Exploring the cluster hypothesis, and cluster-based retrieval, over the web
Large maximal cliques enumeration in sparse graphs
An Intelligent Mediation Platform for Smart Contracts in Blockchain
CADRE: A Cloud-Based Data Service for Big Bibliographic Data
Recipe Representation Learning with Networks
Tag data and personalized information retrieval
Selectively diversifying web search results
Multi-stage Deep Classifier Cascades for Open World Recognition
Understanding Engagement through Search Behaviour
You're Not Alone in Battle: Combat Threat Analysis Using Attention Networks and a New Open Benchmark
Incremental Techniques for Large-Scale Dynamic Query Processing
Diffusion of innovations revisited: from social network to innovation network
Cluster-Based Focused Retrieval
On Embedding Uncertain Graphs
Measuring Metrics
Multi-modal Adaptive Mixture of Experts for Cold-start Recommendation
Can irrelevant data help semi-supervised learning, why and how?
DrugNerAR: linguistic rule-based anaphora resolver for drug-drug interaction extraction in pharmacological documents
Collaborative blacklist generation via searches-and-clicks
LensKit for Python: Next-Generation Software for Recommender Systems Experiments
Clinical entity recognition using structural support vector machines with rich features
TrustMap: Mapping Truthfulness Stance of Social Media Posts on Factual Claims for Geographical Analysis
MODIMO: Workshop on Multi-Omics Data Integration for Modelling Biological Systems
Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks
Q+Tree: An Efficient Quad Tree based Data Indexing for Parallelizing Dynamic and Reverse Skylines
DYCOR: Capturing Hidden Stock Relationships for Stock Trend Prediction
Product query classification
Two-tier Graph Contextual Embedding for Cross-device User Matching
Adversarial Domain Adaptation with Semantic Consistency for Cross-Domain Image Classification
Interpretable Triplet Importance for Personalized Ranking
Learning to rank search results for time-sensitive queries
On the complexity of computing peer agreements for consistent query answering in peer-to-peer data integration systems
E-commerce Recommendation with Weighted Expected Utility
Effective Clustering of Objects Stored by Linear Hashing
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank
Predicting web search success with fine-grained interaction data
Structured Sparse Regression for Recommender Systems
Customized Organization of Social Media Contents using Focused Topic Hierarchy
Deep Noise-Aware Quality Loss for Speaker Verification
Predicting the impact of expansion terms using semantic and user interaction features
Deviation-Based Contextual SLIM Recommenders
DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval
AWETO: efficient incremental update and querying in rdf storage system
JustEva: A Toolkit to Evaluate LLM Fairness in Legal Knowledge Inference
Multi-resolution disambiguation of term occurrences
P-Rank: a comprehensive structural similarity measure over information networks
Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously
Enriching textbooks with images
GDA-HIN: A Generalized Domain Adaptive Model across Heterogeneous Information Networks
Privacy and transparency in graph machine learning: A unified perspective
Robust Recurrent Classifier Chains for Multi-Label Learning with Missing Labels
Evaluating partial tree-pattern queries on XML streams
The ReQAP System for Question Answering over Personal Information
Metadata extraction and indexing for map search in web documents
HENA 2019: The 3rd Workshop of Heterogeneous Information Network Analysis and Applications
A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank
Effective Nearest Neighbor Indexing with the Euclidean Metric
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms
Optimal End-Biased Histograms for Hierarchical Data
Connecting topics in document collections with stepping stones and pathways
DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps
Leveraging User Email Actions to Improve Ad-Close Prediction
Optimizing Numerical Estimation and Operational Efficiency in the Legal Domain through Large Language Models
Distributed cache table: efficient query-driven processing of multi-term queries in P2P networks
Deep Generative Positive-Unlabeled Learning under Selection Bias
MOVER: Multimodal Optimal Transport with Volume-based Embedding Regularization
2nd International Workshop on Rumours and Deception in Social Media: Preface
Who is Delivering My Food?: Detecting Food Delivery Abusers using Variational Reward Inference Networks
Indexing time vs. query time: trade-offs in dynamic information retrieval systems
PAS: Privacy Algorithms in Systems
Extracting Methodology Components from AI Research Papers: A Data-driven Factored Sequence Labeling Approach
Is that scene dangerous?: transferring knowledge over a video stream
Evaluation of a MCA-based approach to organize data cubes
Term necessity prediction
kBrowse: kNN Graph Browser
Incremental hierarchical clustering of text documents
Neighbor-enhanced Graph Pre-training and Prompt Learning Framework for Fraud Detection
Knowledge-enhanced Artificial Intelligence in Drug Discovery (KAIDD)
Human-in-the-Loop Feature Discovery for Tabular Data
On Influencing the Influential: Disparity Seeding