yusuke1997/dblp-id-title huggingface dataset:
Model Asset eXchange: Path to Ubiquitous Deep Learning Deployment
Probabilistic latent preference analysis for collaborative filtering
#StayHome or #Marathon?: Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs
BSML: bio-synergy modeling language for multi-component and multi-target analysis
Continual Domain Adaptation for Machine Reading Comprehension
Mining term association patterns from search logs for effective query reformulation
HyperFormer: Enhancing Entity and Relation Interaction for Hyper-Relational Knowledge Graph Completion
More than Threads: Identifying Related Email Messages
From Menus to the Interactive Food-Ordering Systems
Temporal constraints for rule-based event processing
Semantic Query Processing in Object-Oriented Databases Using Deductive Approach
Consistent, Balanced, and Overlapping Label Trees for Extreme Multi-label Learning
Adversarial Kernel Sampling on Class-imbalanced Data Streams
Can Corpus Similarity-Based Self-Annotation Assist Information Retrieval?
Knowledge base population and visualization using an ontology based on semantic roles
Retention is All You Need
Ask or Recommend: An Empirical Study on Conversational Product Search
Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement
Multimodal Optimal Transport Knowledge Distillation for Cross-domain Recommendation
Open user schema guided evaluation of streaming RDF queries
Aspect-level Sentiment Classification with HEAT (HiErarchical ATtention) Network
Batch-Mix Negative Sampling for Learning Recommendation Retrievers
Real-time new event detection for video streams
Unveiling Intellectual Property Vulnerabilities of GAN-Based Distributed Machine Learning through Model Extraction Attacks
On challenges with mobile e-health: lessons from a game-theoretic perspective
Mining topic-level opinion influence in microblog
Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions
Single-User Injection for Invisible Shilling Attack against Recommender Systems
SWE2: SubWord Enriched and Significant Word Emphasized Framework for Hate Speech Detection
NAD: Neural Network Aided Design for Textile Pattern Generation
A study of information retrieval on accumulative social descriptions using the generation features
From Limited Annotated Raw Material Data to Quality Production Data: A Case Study in the Milk Industry
FZR: Enhancing Knowledge Transfer via Shared Factors Composition in Zero-Shot Relational Learning
I/O-efficient techniques for computing pagerank
Estimating retrieval effectiveness using rank distributions
Learning to Rewrite Queries
PatMat: A Distributed Pattern Matching Engine with Cypher
Clustered Semi-Supervised Relevance Feedback
FactCheckBureau: Build Your Own Fact-Check Analysis Pipeline
Active Learning for Large-Scale Entity Resolution
Learning to rank categories for web queries
Zipf-Gramming: Scaling Byte N-Grams Up to Production Sized Malware Corpora
Search and mining entity-relationship data
Head First: Living Labs for Ad-hoc Search Evaluation
LCMKL: latent-community and multi-kernel learning based image annotation
BIGtensor: Mining Billion-Scale Tensor Made Easy
Network-wide Crowd Flow Prediction of Sydney Trains via Customized Online Non-negative Matrix Factorization
Travel route recommendation using geotags in photo sharing sites
From Properties to Links: Deep Network Embedding on Incomplete Graphs
Towards Partition-Aware Lifted Inference
Providing Semantics for Indefinite Deductive Databases
MarlRank: Multi-agent Reinforced Learning to Rank
Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach
Precision Meets Resilience: Cross-Database Generalization with Uncertainty Quantification for Robust Cost Estimation
The Newspaper Navigator Dataset: Extracting Headlines and Visual Content from 16 Million Historic Newspaper Pages in Chronicling America
FedMatch: Federated Learning Over Heterogeneous Question Answering Data
Prompt-Based Spatio-Temporal Graph Transfer Learning
Analyzing the Effects of Document's Opinion and Credibility on Search Behaviors and Belief Dynamics
Co-guided Random Walk for Polarized Communities Search
Personal Ontologies for Web Navigation
L-APPLE: Language-agnostic Prototype Prefix Learning for Cross-lingual Event Detection
TGNet: Learning to Rank Nodes in Temporal Graphs
Multitask Ranking System for Immersive Feed and No More Clicks: A Case Study of Short-Form Video Recommendation
Adaptive Feature Redundancy Minimization
O-PreH: Optimistic Transaction Processing Algorithm based on Pre-Reordering in Hybrid Broadcast Environments
HITL IRL: 12 Reflections on Expertise Finding and Engagement for a Large Data Curation Team
CleanCloud: Cleaning Big Data on Cloud
Intent Based Relevance Estimation from Click Logs
Heterogeneous Multi-task Semantic Feature Learning for Classification
TemDep: Temporal Dependency Priority for Multivariate Time Series Prediction
Deep Adaptive Feature Aggregation in Multi-task Convolutional Neural Networks
Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale
Learning to Cluster via Same-Cluster Queries
Representation Learning of Large-Scale Knowledge Graphs via Entity Feature Combinations
TGraph: A Temporal Graph Data Management System
Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation
X-Rank: Explainable Ranking in Complex Multi-Layered Networks
Hearing the Meaning, Not the Mess: Beyond Literal Transcription for Spoken Language
Natural Language-Assisted Multi-modal Medication Recommendation
Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models
A Novel Class Noise Estimation Method and Application in Classification
A Framework for Global Optimization of Aggregate Queries
A latent semantic classification model
Credibility Assessment of Textual Claims on the Web
State & Geopolitical Censorship on Twitter (X): Detection & Impact Analysis of Withheld Content
GARF: A Self-supervised Data Cleaning System with SeqGAN
A Bootstrapping Based Refinement Framework for Mining Opinion Words and Targets
Cross-lingual Text Classification via Model Translation with Limited Dictionaries
Answering questions with authority
Cognitive-inspired Graph Redundancy Networks for Multi-source Information Fusion
Eliminating Bias from Presentation Attack Detection Algorithms for Face Recognition Systems
ED2: A Case for Active Learning in Error Detection
Extracting emotion topics from blog sentences: use of voting from multi-engine supervised classifiers
Land Deformation Prediction via Multi-modal Adaptive Association Learning
A novel optimization approach to efficiently process aggregate similarity queries in metric access methods
Mining entity attribute synonyms via compact clustering
Formalization of Polynomially Bounded and Negligible Functions Using the Computer-Aided Proof-Checking System Mizar
Ranking news events by influence decay and information fusion for media and users
Spatio-temporal and events based analysis of topic popularity in twitter
Disentangled Contrastive Learning for Social Recommendation
Exploiting DBpedia for web search results clustering
Improving Rare and Common ICD Coding via a Multi-Agent LLM-Based Approach
Expertise retrieval in bibliographic network: a topic dominance learning approach
DeepVT: Deep View-Temporal Interaction Network for News Recommendation
Latent interest-topic model: finding the causal relationships behind dyadic data
CoSEM: Contextual and Semantic Embedding for App Usage Prediction
Towards Real-Time and Personalized Code Generation
Reliable and Efficient Container Orchestration of LLMs via MCP
ESPRESSO: Explaining Relationships between Entity Sets
A graph-based approach for biomedical thesaurus expansion
Generating Clarifying Questions in Conversational Search Systems
Learning to Quantify: Methods and Applications (LQ 2021)
Data Poisoning Attacks on Cross-domain Recommendation
LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction
LambdaRank Gradients are Incoherent
Smuc 2010 industry panel
Domain customization for aspect-oriented opinion analysis with multi-level latent sentiment clues
Relevance-based Infilling for Natural Language Counterfactuals
ESSTER at the EYRE 2020 Entity Summarization Task
Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification
A Probabilistic Description-Oriented Approach for Categorizing Web Documents
Few-shot Insider Threat Detection
AdaRNN: Adaptive Learning and Forecasting of Time Series
Towards Adaptive Personalized Conversational Information Retrieval
Combining Text and Formula Queries in Math Information Retrieval: Evaluation of Query Results Merging Strategies
SEERa: A Framework for Community Prediction
Hyperbolic Contrastive Learning for Cross-Domain Recommendation
pm-SCAN: an I/O Efficient Structural Clustering Algorithm for Large-scale Graphs
User engagement: the network effect matters!
Personalized Bundle Recommendation in Online Games
International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021)
Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models
Online User Location Inference Exploiting Spatiotemporal Correlations in Social Streams
Fine-Grained Fuel Consumption Prediction
Efficient filtering and ranking schemes for finding inclusion dependencies on the web
Database selection in intranet mediators for natural language queries
Proceedings of the 2011 Workshop on Data Infrastructures for Supporting Information Retrieval Evaluation, DESIRE '11, Glasgow, Scotland, UK, October 28, 2011
Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning
Data weaving: scaling up the state-of-the-art in data clustering
"Shall I Be Your Chat Companion?": Towards an Online Human-Computer Conversation System
Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak Transitivity
A Toolkit for Managing Multiple Crowdsourced Top-K Queries
SOPER: Discovering the Influence of Fashion and the Many Faces of User from Session Logs using Stick Breaking Process
Semantic Technologies for Data Access and Integration
Large Language Models as Zero-Shot Conversational Recommenders
Enhancing Information Comprehension Through Hypertext
Mapping enterprise entities to text segments
I want what i need!: analyzing subjectivity of online forum threads
CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems
SciTweets - A Dataset and Annotation Framework for Detecting Scientific Online Discourse
SNAKE Challenge: Sanitization Algorithms under Attack
PCENet: Psychological Clues Exploration Network for Multimodal Personality Assessment
Interactive Multi-Grained Joint Model for Targeted Sentiment Analysis
Parsing Clinical Text: How Good are the State-of-the-Art Parsers?
Do People and Neural Nets Pay Attention to the Same Words: Studying Eye-tracking Data for Non-factoid QA Evaluation
Learning Graph-based Embedding For Time-Aware Product Recommendation
Topology-aware Retrieval Augmentation for Text Generation
From Product Searches to Conversational Agents for E-Commerce
Multiperspective Graph-Theoretic Similarity Measure
Correlation-aware Online Change Point Detection
Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), Torino, Italy, October 22, 2018
Sampling Big Trajectory Data
Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems
Analysis of Adaptive Training for Learning to Rank in Information Retrieval
Feature Fusion Based Subgraph Classification for Link Prediction
ASTRO: A Datalog System for Advanced Stream Reasoning
PLEAD 2013: politics, elections and data
Towards Federated Learning against Noisy Labels via Local Self-Regularization
AI on the Pulse: Real-Time Health Anomaly Detection with Wearable and Ambient Intelligence
UDM: A Unified Deep Matching Framework in Recommender Systems
Region-Wise Attentive Multi-View Representation Learning For Urban Region Embedding
Distributed Stochastic ADMM for Matrix Factorization
A unified learning framework for auto face annotation by mining web facial images
Framboise - An Approach to Framework-Based Active Database Management System Construction
Index construction for linear categorisation
A Latent-Constrained Variational Neural Dialogue Model for Information-Rich Responses
Automobile, car and BMW: horizontal and hierarchical approach in social tagging systems
An Extensive Investigation of Machine Learning Techniques for Sleep Apnea Screening
Consistency Checking in Object Oriented Databases: a Behavioral Approach
ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior
MSRA: A Multi-Aspect Semantic Relevance Approach for E-Commerce via Multimodal Pre-Training
Extracting Records from the Web Using a Signal Processing Approach
Effective pattern taxonomy mining in text documents
REGAL: Representation Learning-based Graph Alignment
UA-CRNN: Uncertainty-Aware Convolutional Recurrent Neural Network for Mortality Risk Prediction
Visual cube and on-line analytical processing of images
Learning Optimal Personalised Reservation Prices in Impression Ad Auctions with Mixture Density Networks
Topic-sensitive probabilistic model for expert finding in question answer communities
GLaD: Synergizing Molecular Graphs and Language Descriptors for Enhanced Power Conversion Efficiency Prediction in Organic Photovoltaic Devices
Beyond Trading Data: The Hidden Influence of Public Awareness and Interest on Cryptocurrency Volatility
MusicBot: Evaluating Critiquing-Based Music Recommenders with Conversational Interaction
Evaluation of Disease-Associated Text-Mining Databases
Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking
Software plagiarism detection: a graph-based approach
Efficient joins with compressed bitmap indexes
Frozen in the Middle: Hidden States Remain Unchanged Across Intermediate Layers of Language Models
Intelligent SSD: a turbo for big data mining
Attention prediction on social media brand pages
EnhanceMyPrompt: Rewriting Chat Queries for Effective Response Generation from LLMs
A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning
PBFilter: indexing flash-resident data through partitioned summaries
Modeling reformulation using passage analysis
Improving Message-Passing GNNs by Asynchronous Aggregation
On Building Decision Trees from Large-scale Data in Applications of On-line Advertising
Privacy-Preserving Triangle Counting in Large Graphs
Parallel proximal support vector machine for high-dimensional pattern classification
You should read this! let me explain you why: explaining news recommendations to users
Self-Supervised Learning for Recommendation
An efficient algorithm for mining time interval-based patterns in large database
Audience-Aware and Self-Adaptive Multi-Interest Modeling for Sharing Rate Prediction in Affiliate Marketing
Evaluation of a Machine Learning Duplicate Detection Method for Bioinformatics Databases
Towards Dynamic and Reliable Private Key Management for Hierarchical Access Structure in Decentralized Storage
Conkar: constraint keyword-based association discovery
Learning to Attend, Copy, and Generate for Session-Based Query Suggestion
A language for manipulating clustered web documents results
Compact explanatory opinion summarization
Structural link analysis and prediction in microblogs
Effective and efficient structured retrieval
Diversification for multi-domain result sets
Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
Characterizing and predicting community members from evolutionary and heterogeneous networks
Generating Persuasive Responses to Customer Reviews with Multi-Source Prior Knowledge in E-commerce
LearnShapley: Learning to Predict Rankings of Facts Contribution Based on Query Logs
An Enhanced Batch Query Architecture in Real-time Recommendation
Who will follow you back?: reciprocal relationship prediction
Local Large Language Models for Recommendation
The Yelp Collaborative Knowledge Graph
Age Inference Using A Hierarchical Attention Neural Network
Incorporating occupancy into frequent pattern mining for high quality pattern recommendation
PIKM 2014: The 7th ACM Workshop for Ph.D. Students in Information and Knowledge Management
On the usefulness of query features for learning to rank
Boosting Certificate Robustness for Time Series Classification with Efficient Self-Ensemble
LTBoost: Boosted Hybrids of Ensemble Linear and Gradient Algorithms for the Long-term Time Series Forecasting
InCaToMi: integrative causal topic miner between textual and non-textual time series data
Misbeliefs and Biases in Health-Related Searches
An Adaptive Algorithm for Learning Changes in User Interests
Robust Heterogeneous GNNs via Semantic Attention and Contrastive Learning
LearNext: learning to predict tourists movements
What Data is Really Necessary? A Feasibility Study of Inference Data Minimization for Recommender Systems
Determining the semantic orientation of terms through gloss classification
Embedding Node Structural Role Identity into Hyperbolic Space
Enhancing Recommendation with Reliable Multi-profile Alignment and Collaborative-aware Contrastive Learning
User Interests Imbalance Exploration in Social Recommendation: A Fitness Adaptation
Learning Community Embedding with Community Detection and Node Embedding on Graphs
Knowledge-Aware Neural Networks for Medical Forum Question Classification
PriSHAP: Prior-guided Shapley Value Explanations for Correlated Features
Toward interactive training and evaluation
Enhanced Word Embeddings from a Hierarchical Neural Language Model
Dense Retrieval for Aggregated Search
New Online Kernel Ridge Regression via Incremental Predictive Sampling
Expected browsing utility for web search evaluation
Multi-model Databases and Tightly Integrated Polystores: Current Practices, Comparisons, and Open Challenges
Towards Trustworthy Rumor Detection with Interpretable Graph Structural Learning
A Comparison of Nuggets and Clusters for Evaluating Timeline Summaries
Components for information extraction: ontology-based information extractors and generic platforms
An Information Model for Use in Software Management Estimation and Prediction
Detecting changes on unordered XML documents using relational databases: a schema-conscious approach
Using a sentiment map for visualizing credibility of news sites on the web
FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection
Joint Optimization of Cost and Coverage of Query Plans in Data Integration
Cformer: Semi-Supervised Text Clustering Based on Pseudo Labeling
Counterfactual Adversarial Learning for Recommendation
Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks
Osprey 🪶: A Reference Framework for Online Grooming Detection via Neural Models and Conversation Features
MM: A new Framework for Multidimensional Evaluation of Search Engines
An efficient and effective algorithm for density biased sampling
Large-scale behavioral targeting with a social twist
Multi-view Clustering via Structured Low-rank Representation
Graph Learning for Exploratory Query Suggestions in an Instant Search System
Hierarchical and Dynamic k -Path Covers
Anonymizing data with quasi-sensitive attribute values
Hierarchically Constrained Adaptive Ad Exposure in Feeds
MissDDIM: Deterministic and Efficient Conditional Diffusion for Tabular Data Imputation
Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsity
A translation model for matching reviews to objects
Interactive reasoning in uncertain RDF knowledge bases
Hyperspherical Dynamic Multi-Prototype with Arguments Dependencies and Role Consistency for Event Argument Extraction
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms
Multi-Agent Reinforcement Learning for Network Load Balancing in Data Center
Retrievability: an evaluation measure for higher order information access tasks
Mining rules to align knowledge bases
Finding a Maximum Clique in Dense Graphs via χ2 Statistics
Carpe Diem, Seize the Samples Uncertain "at the Moment" for Adaptive Batch Selection
Selected new training documents to update user profile
Incorporation of multimedia capabilities in distributed real-time applications
A Comparison of Retrieval Models using Term Dependencies
An unsupervised method for author extraction from web pages containing user-generated content
Patent search using IPC classification vectors
Future directions in data mining: streams, networks, self-similarity and power laws
Contextualized Formula Search Using Math Abstract Meaning Representation
QALink: Enriching Text Documents with Relevant Q&A Site Contents
A phased ranking model for question answering
RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model
Demonstrating PARS: A Decision Support System for Developing Vertical Partitioning Plans
Multi-evidence, multi-criteria, lazy associative document classification
Is the Search Engine of the Future a Chatbot?
Enhancing Fake News Video Detection via LLM-Driven Creative Process Simulation
Relevant query feedback in statistical language modeling
Efficient query monitoring using adaptive multiple key hashing
Query Understanding for Surfacing Under-served Music Content
Mr.KNN: soft relevance for multi-label classification
Digitalkoot: electrifying the finnish cultural heritage
Creating a framework for a Benchmark Religion Dataset
Mining community structure of named entities from free text
SyynX solutions: practical knowledge management in a medical environment
Efficient peer-to-peer semantic overlay networks based on statistical language models
Agent-based Document Construction
Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency
Gtensor: Fast and Accurate Tensor Analysis System using GPUs
BigScholar 2019: The 6th Workshop on Big Scholarly Data
Query Rewriting in TaoBao Search
Using Path Information for Query Processing in Object-Oriented Database Systems
A heuristic approach for checking containment of generalized tree-pattern queries
Data and Decision Fusion with Uncertainty Quantification for ML-based Healthcare Decision Systems
CyberWater: An Open Framework for Data and Model Integration in Water Science and Engineering
FaDE: A Face Segment Driven Identity Anonymization Framework For Fair Face Recognition
Feature selection using hierarchical feature clustering
How do users grow up along with search engines?: a study of long-term users' behavior
Transformers are Good Clusterers for Lifelong User Behavior Sequence Modeling
Breaking State-of-the-Art Poisoning Defenses to Federated Learning: An Optimization-Based Attack Framework
MIaS: Math-Aware Retrieval in Digital Mathematical Libraries
ToxVI: a Multimodal LLM-based Framework for Generating Intervention in Toxic Code-Mixed Videos
VFDS: An Application to Generate Fast Sample Databases
Retrieval constraints and word frequency distributions: a log-logistic model for IR
Timely and fault-tolerant data access from broadcast disks: a pinwheel-based approach
Model-guided information discovery for intelligence analysis
Cross-Domain Graph Neural Networks for Notification at LinkedIn
The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?
Truth Discovery via Exploiting Implications from Multi-Source Data
Node-dependent Semantic Search over Heterogeneous Graph Neural Networks
Time Series Prediction with Interpretable Data Reconstruction
Rethinking Large-scale Pre-ranking System: Entire-chain Cross-domain Models
Expanding Relationship for Cross Domain Recommendation
Organic or Organized?: Exploring URL Sharing Behavior
Count or Not to Count: Counting Challenges for Big Spatial Data Analytics
PISeL : Pipelining DNN Inference for Serverless Computing
Learning to Form Skill-based Teams of Experts
Hierarchical Complementary Attention Network for Predicting Stock Price Movements with News
Combining prestige and relevance ranking for personalized recommendation