yusuke1997/dblp-id-title huggingface dataset:
Learning to Extract Conditional Knowledge for Question Answering using Dialogue
Transformer Based Bayesian Network Embedding for Efficient Multiple Probabilistic Inferences
Consistent query answering under key and exclusion dependencies: algorithms and experiments
Explainability for Misinformation in Financial Statements
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model
Bringing Head Closer to the Tail with Entity Linking
Learning Sparse Binary Code for Maximum Inner Product Search
Scaling Up Distance-generalized Core Decomposition
Using structured text for large-scale attribute extraction
Tag2Word: Using Tags to Generate Words for Content Based Tag Recommendation
Chinese Named Entity Recognition with Character-Word Mixed Embedding
A language modeling framework for resource selection and results merging
Does Vertical Bring more Satisfaction?: Predicting Search Satisfaction in a Heterogeneous Environment
Feature-based recommendation system
AKBC 2013: third workshop on automated knowledge base construction
A query-based multi-document sentiment summarizer
Robust and Skew-resistant Parallel Joins in Shared-Nothing Systems
Secure Top-k Inner Product Retrieval
Efficient and effective server-sided distributed clustering
QuestGen: Effectiveness of Question Generation Methods for Fact-Checking Applications
Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model
Dynamic Network Embedding via Temporal Path Adjacency Matrix Factorization
SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems
An efficient algorithm for approximate betweenness centrality computation
Incorporate Group Information to Enhance Network Embedding
Effective and efficient polarity estimation in blogs based on sentence-level evidence
Towards Representation Independent Similarity Search Over Graph Databases
Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings
Extending and inferring functional dependencies in schema transformation
MSOFormer: Multi-scale Transformer with Orthogonal Embedding and Frequency Modeling for Multivariate Time Series Forecasting
Interactive User Group Analysis
Social Book Search Reranking with Generalized Content-Based Filtering
ReducE-Comm: Effective Inventory Reduction System for E-Commerce
Mining User Interests from Social Media
A Chinese Knowledge Base Question Answering System
FindiLike: a preference driven entity search engine for evaluating entity retrieval and opinion summarization
CoHN: Context-Aware Hawkes Graph Network for Temporal Knowledge Graph Reasoning
Collective intelligence in the online social network of yahoo!answers and its implications
Implementing Query Completeness Reasoning
SparseBF: Enhancing Scalability and Efficiency for Sparsely Filled Privacy-Preserving Record Linkage
HiQuE: Hierarchical Question Embedding Network for Multimodal Depression Detection
Processing content-oriented XPath queries
Semantically-Enhanced Topic Modeling
Homogenization with Explicit Semantics Preservation for Heterogeneous Information Network
Faster Approximation Algorithms for Parameterized Graph Clustering and Edge Labeling
Publicly Verifiable and Fault-Tolerant Privacy-Preserving Aggregation for Federated Learning
Discriminative factored prior models for personalized content-based recommendation
An efficient method for using machine translation technologies in cross-language patent search
Adaptive Distributional Extensions to DFR Ranking
Topological Anonymous Walk Embedding: A New Structural Node Embedding Approach
Are Meta-Paths Necessary?: Revisiting Heterogeneous Graph Embeddings
Approximate Discovery of Functional Dependencies for Large Datasets
Multi-Task Self-Supervised Learning for Script Event Prediction
Addressing the Distortion of Community Representations in Anomaly Detection on Attributed Networks
MultiLoRA: Multi-Directional Low Rank Adaptation for Multi-Domain Recommendation
TSD-CT: A Benchmark Dataset for Truthfulness Stance Detection
Augmenting Limited and Biased RCTs through Pseudo-Sample Matching-Based Observational Data Fusion Method
End-to-end Information Extraction from Archival Records with Multimodal Large Language Models
TBGRecall: A Generative Retrieval Model for E-commerce Recommendation Scenarios
Deep Query Rewriting For Geocoding
UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation
Indexing text data under space constraints
Collaboration analytics: mining work patterns from collaboration activities
Enhancing Multi-Behavior Sequential Recommenders with Behavior-Aware Regularization
Ranking fraud detection for mobile apps: a holistic view
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation
AspectMMKG: A Multi-modal Knowledge Graph with Aspect-aware Entities
Incremental shared nearest neighbor density-based clustering
LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis
The AudioWeb
What can quantum theory bring to information retrieval
The Effect of Icon Semantic Distance on Preschool Children's Information Search: Evidence from an Eye-Tracking Study
High dimensional reverse nearest neighbor queries
Content based social behavior prediction: a multi-task learning approach
Optimizing Nugget Annotations with Active Learning
Real-word spelling correction using Google web 1Tn-gram data set
Rank learning for factoid question answering with linguistic and semantic constraints
Mining frequent patterns across multiple data streams
Dynamic Generation of Data Broadcasting Programs for a Broadcast Disk Array
Energy management schemes for memory-resident database systems
A Neural Candidate-Selector Architecture for Automatic Structured Clinical Text Annotation
Intelligent knowledge discovery in peer-to-peer file sharing
DDTA 2016: The Workshop on Data-Driven Talent Acquisition
Research Problems in Data Warehousing
Search-Efficient Computerized Adaptive Testing
Learning to Answer Complex Questions over Knowledge Bases with Query Composition
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU
INforE: Interactive Cross-platform Analytics for Everyone
A Framework for Building Chat-based Recommender Systems
An Adaptive Semantic Stream Reasoning Framework for Deep Neural Networks
The EGG/YOLK Reliability Hierarchy : Semantic Data Integration Using Sorts with Prototypes
Learning a Monolingual Language Model from a Multilingual Text Database
SemQL: A Semantic Query Language for Multidatabase Systems
CGMOS: Certainty Guided Minority OverSampling
TweetSift: Tweet Topic Classification Based on Entity Knowledge Base and Topic Enhanced Word Embedding
Learning to recommend questions based on public interest
The effectiveness study of various music information retrieval approaches
Optimization of Answer Set Programs for Consistent Query Answering by Means of First-Order Rewriting
Adaptive distributed indexing for structured peer-to-peer networks
A self-managing data cache for edge-of-network web applications
Multi-Stage Refined Visual Captioning for Baidu Ad Creatives Generation
Validating associations in biological databases
Harnessing GPT for Topic-Based Call Segmentation in Microsoft Dynamics 365 Sales
Structure feature selection for graph classification
Data-thirsty business analysts need SODA: search over data warehouse
Framework and algorithms for trend analysis in massive temporal data sets
Dex: high-performance exploration on large graphs for information retrieval
Mining social networks using heat diffusion processes for marketing candidates selection
CANN: Coupled Approximation Neural Network for Partial Domain Adaptation
Information preservation in static index pruning
Word Sense Disambiguation for Free-text Indexing Using a Massive Semantic Network
Generating Persuasive Visual Storylines for Promotional Videos
An agent-based approach to knowledge management
Composing activity groups in social networks
Causal Discovery from Heterogenous Multivariate Time Series
Group Formation Mechanisms for Transactions in ISIS
Contrastive ECOC: Learning Output Codes for Adversarial Defense
BoDBES: a boosted dictionary-based biomedical entity spotter
TEI2GO: A Multilingual Approach for Fast Temporal Expression Identification
DP-HORUS: Differentially Private Hierarchical Count Histograms under Untrusted Server
Smarter and Safer Traffic Signal Controlling via Deep Reinforcement Learning
Feature engineering on event-centric surrogate documents to improve search results
Towards Scalable and Complete Query Explanation with OWL 2 EL Ontologies
KB-Enabled Query Recommendation for Long-Tail Queries
Locality Sensitive Hashing with Temporal and Spatial Constraints for Efficient Population Record Linkage
From Known to Unknown: Quality-aware Self-improving Graph Neural Network For Open Set Social Event Detection
Unlocking the Potential of Smaller Language Models as Superior Instruction Evolvers
iRAG: Advancing RAG for Videos with an Incremental Approach
The visual funding navigator: analysis of the NSF funding information
Efficient Multi-Scale Feature Generation Adaptive Network
XuanYuan 2.0: A Large Chinese Financial Chat Model with Hundreds of Billions Parameters
PlatoGL: Effective and Scalable Deep Graph Learning System for Graph-enhanced Real-Time Recommendation
A Skill Proficiency Framework for Workforce Learning and Development
Retrieval from Captioned Image Databases Using Natural Language Processing
Weighted hashing for fast large scale similarity search
Mitigating Cold-Start Problems in Knowledge Tracing with Large Language Models: An Attribute-aware Approach
Generative-Free Urban Flow Imputation
Adaptive Differentially Private Structural Entropy Minimization for Unsupervised Social Event Detection
Soap: Soaking Capacity Optimization for Multi-Document Summarization
Spatio-Temporal Meta Contrastive Learning
A singer identification technique for content-based classification of MP3 music objects
CoST: An annotated Data Collection for Complex Search
Self-correcting queries for xml
Design of a data warehouse system for network/web services
Community-based user recommendation in uni-directional social networks
A knowledge-based search engine powered by wikipedia
A Comparison of Top-k Threshold Estimation Techniques for Disjunctive Query Processing
CAPatternMiner: Mining Ship Collision Avoidance Behavior from AIS Trajectory Data
Comprehensively Computing Link-based Similarities by Building A Random Surfer Graph
Multi-Turn Response Selection in Retrieval-Based Chatbots with Iterated Attentive Convolution Matching Network
3rd International Workshop on Industrial Recommendation Systems (IRS)
Daily-deal selection for revenue maximization
Proceedings of the First Workshop on CyberInfrastructure: Information Management in eScience, CIMS 2007, Sixteenth ACM Conference on Information and Knowledge Management, CIKM 2007, Lisbon, Portugal, November 9, 2007
Sparse and Dense Retrievers Learn Better Together: Joint Sparse-Dense Optimization for Text-Image Retrieval
Fragment Allocations for Partially Replicated Databases Considering Data Modifications and Changing Workloads
Usability in machine learning at scale with graphlab
PSTIE: Time Information Enhanced Personalized Search
Integrating clustering and multi-document summarization to improve document understanding
Workshop on Generative AI for E-commerce
Ensemble Learning Methods for Dirty Data
KGPR: Knowledge Graph Enhanced Passage Ranking
Analysis of pre-computed partition top method for range top-k queries in OLAP data cubes
ECLIPSE: Efficient Cross-Lingual Log Intelligence Parser with Semantic Entropy-Enhanced LCS Algorithm
FAIR-SE: Framework for Analyzing Information Disparities in Search Engines with Diverse LLM-Generated Personas
Real-time Emotion Pre-Recognition in Conversations with Contrastive Multi-modal Dialogue Pre-training
Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks
Automated feature weighting in naive bayes for high-dimensional data classification
AMiner-mini: A People Search Engine for University
LearnLexTo: a machine-learning based word segmentation for indexing Thai texts
The LambdaLoss Framework for Ranking Metric Optimization
Reinforcement Learning with Sequential Information Clustering in Real-Time Bidding
Web-based open-domain information extraction
Probabilistic ranking in fuzzy object databases
Learning to Comparison-Shop
LogicBase: A Deductive Database System Prototype
Fast Algorithms for Pareto Optimal Group-based Skyline
Fair Graph Mining
Removing redundancy and inconsistency in memory-based collaborative filtering
Deep Modality-Disentangled Prompt Tuning for Few-Shot Multimodal Sarcasm Detection
How Consistent is Relevance Feedback in Exploratory Search?
Large scale data analytics on clouds
Hol-Light: A Holistic framework for Efficient and Dynamic Traffic Signal Management
The Ebb and Flow of the COVID-19 Misinformation Themes
OpinionIt: a text mining system for cross-lingual opinion analysis
Machine-Assisted Search Preference Evaluation
Discovering Denial Constraints Based on Deep Reinforcement Learning
Mathematics Content Understanding for Cyberlearning via Formula Evolution Map
Tracking dragon-hunters with language models
Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation
Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction
Hierarchy evolution for improved classification
Estimating the number of answers with guarantees for structured queries in p2p databases
Overlapping community detection using seed set expansion
Robust distributed indexing for locality-skewed workloads
PopDCL: Popularity-aware Debiased Contrastive Loss for Collaborative Filtering
THECOG 2022 - Transforms In Behavioral And Affective Computing (Revisited)
Evaluating Relevance Judgments with Pairwise Discriminative Power
ITIU: Intention Understanding via Interactive Table in Large Language Models
Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction
Beacon in the Dark: A System for Interactive Exploration of Large Email Corpora
Estimating Clickthrough Bias in the Cascade Model
Pseudo-Inverse Prefix Tuning for Effective Unlearning in LLMs
Algorithmic Bias: Do Good Systems Make Relevant Documents More Retrievable?
What Is a Network Community?: A Novel Quality Function and Detection Algorithms
Efficiently querying archived data using Hadoop
Heterogeneous Hypergraph Neural Network for Friend Recommendation with Human Mobility
Query Rewriting on Path Views Without Integrity Constraints
Social Recommendation with Strong and Weak Ties
When is Nearest Neighbor Meaningful: Sequential Data
Enhanced Nested-Inherited Index for OODBMS
NP-SSL: A Modular and Extensible Self-supervised Learning Library with Neural Processes
Discriminatory Analysis of Alzheimer's Disease through pathway Activity inference in the Resting-State brain
Analytical Version Control Management in a Hypertext System
RAGUEL: Recourse-Aware Group Unfairness Elimination
Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects
Set cover algorithms for very large datasets
Simultaneous multilingual search for translingual information retrieval
Query processing of streamed XML data
Termination and Confluence of Rule Execution
GeoAI for Natural Disaster Assessment
Semantic Annotation for Places in LBSN through Graph Embedding
The Role of the Database Community in the National Information Infrastructure
Ranking Multiple Choice Question Distractors using Semantically Informed Neural Networks
Stop&Hop: Early Classification of Irregular Time Series
BRIGHT - Graph Neural Networks in Real-time Fraud Detection
Labels or attributes?: rethinking the neighbors for collective classification in sparsely-labeled networks
Knowledge-enhanced Dynamic Modeling framework for Multi-Behavior Recommendation
Secure search in enterprise webs: tradeoffs in efficient implementation for document level security
Stamp: Semantic-Aware Sub-trajectory Anomaly Detection with Diffusion Multi-model Pool for Evolving Data Streams
Hierarchical Multi-Label Classification with Partial Labels and Unknown Hierarchy
Efficient Hyperparameter Optimization under Multi-Source Covariate Shift
Modeling interaction features for debate side clustering
SWAM: a family of access methods for similarity-search in peer-to-peer data networks
Constructing better document and query models with markov chains
DSETA: Driving Style-Aware Estimated Time of Arrival
Predicting individual disease risk based on medical history
Cost-effective Resource Provisioning for Spark Workloads
Topic-aware Heterogeneous Graph Neural Network for Link Prediction
Building self-organized image retrieval network
Sharper Utility Bounds for Differentially Private Models: Smooth and Non-smooth
Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies
A comparative study on classifying the functions of web page blocks
aptMTVL: Nailing Interactions in Multi-Task Multi-View Multi-Label Learning using Adaptive-basis Multilinear Factor Analyzers
LSH based outlier detection and its application in distributed setting
Mutually beneficial learning with application to on-line news classification
Joint Link Prediction Via Inference from a Model
Locking Objects and Classes in Multiversion Object-Oriented Databases
One seed to find them all: mining opinion features via association
Construction of Efficient V-Gram Dictionary for Sequential Data Analysis
Predicting Search Task Difficulty at Different Search Stages
Confucius and "its" intelligent disciples
AMPPERE: A Universal Abstract Machine for Privacy-Preserving Entity Resolution Evaluation
Adaptive non-linear clustering in data streams
Task Publication Time Recommendation in Spatial Crowdsourcing
Recommendation-based Team Formation for On-demand Taxi-calling Platforms
Query Performance Prediction for Aspect Weighting in Search Result Diversification
SemVis: Semantic Visualization for Interactive Topical Analysis
Towards the Internet of Cities: A Research Roadmap for Next-Generation Smart Cities
Coupled nominal similarity in unsupervised learning
Personalized social search based on the user's social network
DECWA: Density-Based Clustering using Wasserstein Distance
Zero-shot Relation Classification from Side Information
An efficient probabilistic framework for multi-dimensional classification
Mining Brokers in Dynamic Social Networks
Few-Shot Knowledge Graph Completion via Transfer Knowledge from Similar Tasks
Persistence of information on the web: Analyzing citations contained in research articles
Hierarchical Optimization of Optimal Path Finding for Transportation Applications
Learning to Bundle Proactively for On-Demand Meal Delivery
The Solitude of Relevant Documents in the Pool
Simultaneously improving CSAT and profit in a retail banking organization
Identifying Regional Driving Risks via Transductive Cross-City Transfer Learning Under Negative Transfer
A Hierarchical Imitation Learning-based Decision Framework for Autonomous Driving
Large margin transductive transfer learning
Exploring Causal Effect of Social Bias on Faithfulness Hallucinations in Large Language Models
Multi-Resource-Aware Admission Control for Online Data Processing
WOT-Class: Weakly Supervised Open-world Text Classification
Spatio-temporal meme prediction: learning what hashtags will be popular where
Incorporating robustness into web ranking evaluation
Multi-Turn Interactions for Text-to-SQL with Large Language Models
Time-Aware Rank Aggregation for Microblog Search
Local computation of PageRank: the ranking side
NC 2 D: Novel Class Discovery for Node Classification
Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models
Wise Fusion: Group Fairness Enhanced Rank Fusion
Traffic Safety Evaluation Based on Macroscopic Traffic Features in Road Tunnels
Simultaneous clustering of multi-type relational data via symmetric nonnegative matrix tri-factorization
Optimising ontology stream reasoning with truth maintenance system
An Interactive Framework for Video Surveillance Event Detection and Modeling
Learning Global-Local Multi-Scale Node Embeddings with Random Walks and Landmark-Guided Optimization
Finding Interesting Rules from Large Sets of Discovered Association Rules
Quality Prediction in Arc Welding: Leveraging Transformer Models and Discrete Representations from Vector Quantised-VAE
Retrogressive Document Manipulation of US Federal Environmental Websites
LCD: Adaptive Label Correction for Denoising Music Recommendation
Alternatives to the k-means algorithm that find better clusterings
Uncertainty-Aware Graph-Based Multimodal Remote Sensing Detection of Out-Of-Distribution Samples
Closure Maintenance in An Object-Oriented Query Model
Enhancing Spatio-temporal Traffic Prediction through Urban Human Activity Analysis
A Probabilistic Fusion Framework
Unanswerable Question Correction and Explanation over Personal Knowledge Base
FACeTOR: cost-driven exploration of faceted query results
Inductive Learning Algorithms and Representations for Text Categorization
Hockey: A Hybrid PMem-SSD Storage Engine for Analytical Database
SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection
An Entropy Heuristic to Optimize Decision Diagrams for Index-driven Search in Biological Graph Databases
Community-Based Hierarchical Positive-Unlabeled (PU) Model Fusion for Chronic Disease Prediction
GRIT: An Accurate and Efficient Graph Stream Summarization for Temporal Query
Semantics-Based Information Brokering
Extracting Global Temporal Patterns Within Short Look-Back Windows for Traffic Forecasting
Hybrid results merging
CrowdSelect: Increasing Accuracy of Crowdsourcing Tasks through Behavior Prediction and User Selection
MVQAS: A Medical Visual Question Answering System
External evaluation measures for subspace clustering
InfoCrystal: A Visual Tool for Information Retrieval & Management
Location-Based Influence Maximization in Social Networks
Augmenting Guest Search Results with Recommendations at Airbnb
DeepClair: Utilizing Market Forecasts for Effective Portfolio Selection
Extreme Systematic Reviews: A Large Literature Screening Dataset to Support Environmental Policymaking
PIKM 2015: The 8th ACM Workshop for Ph.D. Students in Information and Knowledge Management
Latency-aware strategy for static list caching in flash-based web search engines
Incorporating Latent Semantic Indexing into a Neural Network Model for Information Retrieval
Collaborative Experts Discovery in Social Coding Platforms
Towards Spoken Language Understanding via Multi-level Multi-grained Contrastive Learning
Expert identification in community question answering: exploring question selection bias
Semi-Supervised Collaborative Learning for Social Spammer and Spam Message Detection in Microblogging
Agent-Based Models of the Corporate Bond Market
EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation
Reverse Chain-of-Thought and Causal Path Verification: A Modular Plugin for Aligning LLMs with Knowledge Graphs
Loan Default Analysis with Multiplex Graph Learning
Suffix trees for very large genomic sequences
Sliding Cross Entropy for Self-Knowledge Distillation
Understanding the roles of sub-graph features for graph classification: an empirical study perspective
Select Your Questions Wisely: For Entity Resolution With Crowd Errors
Autonomous Reasoning-Retrieval for Large Language Model Based Recommendation
Unsupervised Question Clarity Prediction through Retrieved Item Coherency
Properties of Networked Information Retrieval with ALIBI
Privacy-Preserving Federated Learning via Disentanglement
Proceedings of the fifth international workshop on Cloud data management, CloudDB 2013, San Francisco, California, USA, October 28, 2013
CAST: A Context-Aware Story-Teller for Streaming Social Content
Mining multiple phenotype structures underlying gene expression profiles
The Enosys Markets Data Integration Platform: Lessons from the Trenches
Explainable Stock Price Movement Prediction using Contrastive Learning
Search Result Diversification Using Query Aspects as Bottlenecks