yusuke1997/dblp-id-title huggingface dataset:
Associated Biological Information Retrieval from Distributed Databases
Detecting product review spammers using rating behaviors
What a Surprise! Computing Rewritten Modules Can Be as Efficient as Computing Subset Modules
Shoe Size Resolution in Search Queries and Product Listings using Knowledge Graphs
RobustFed: A Truth Inference Approach for Robust Federated Learning
Confidence-Guided Learning Process for Continuous Classification of Time Series
CoNet: feature generation for multi-view semi-supervised learning with partially observed views
Achieve Privacy-Preserving Truth Discovery in Crowdsensing Systems
LAMM: Language Aware Active Learning for Multilingual Models
IclForge: Enhancing In-Context Learning with Evolutionary Algorithms under Budgeted Annotation
The 'Path' to Clarity: Identifying False Claims Through a Knowledge Graph Exploration
CausalMed: Causality-Based Personalized Medication Recommendation Centered on Patient Health State
Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation
Calibrated and Diverse News Coverage
Utilizing common substructures to speedup tensor factorization for mining dynamic graphs
Enhancing Playback Performance in Video Recommender Systems with an On-Device Gating and Ranking Framework
Modeling historical and future movements of spatio-temporal objects in moving objects databases
E-Commerce Dispute Resolution Prediction
Feature subspace transformations for enhancing k-means clustering
PATRIC: a parallel algorithm for counting triangles in massive networks
PIDGIN: ontology alignment using web text as interlingua
How Many Folders Do You Really Need?: Classifying Email into a Handful of Categories
One size does not fit all: multi-granularity search of web forums
Balancing Speed and Quality in Online Learning to Rank for Information Retrieval
Learning to join everything
Want robust explanations? Get smoother predictions first
Personalized influence maximization on social networks
Collaborative Multi-objective Ranking
Cache refreshing for online social news feeds
An approach for implicitly detecting information needs
Siphon++: a hidden-webcrawler for keyword-based interfaces
Computing and Summarizing the Negative Skycube
Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance
Coreference resolution using expressive logic models
Deep Time-Aware Item Evolution Network for Click-Through Rate Prediction
Guaranteeing Accuracy and Fairness under Fluctuating User Traffic: A Bankruptcy-Inspired Re-ranking Approach
LST2A: Lexical-Syntactic Targeted Adversarial Attack for Texts
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation
A Semantic Data Marketplace for Easy Data Sharing within a Smart City
LARM: A Lifetime Aware Regression Model for Predicting YouTube Video Popularity
Bug Localization by Learning to Rank and Represent Bug Inducing Changes
Efficient Filter Approximation Using the Earth Mover's Distance in Very Large Multimedia Databases with Feature Signatures
Personal Entity, Concept, and Named Entity Linking in Conversations
Incorporating Peer Reviews and Rebuttal Counter-Arguments for Meta-Review Generation
Probabilistic Causal Analysis of Social Influence
OSSOBOOK: database and knowledgemanagement techniques for archaeozoology
Sequence Prediction under Missing Data: An RNN Approach without Imputation
EduCraft: A System for Generating Pedagogical Lecture Scripts from Long-Context Multimodal Presentations
Light-weight xPath processing of XML stream with deterministic automata
Framing Mobile Information Needs: An Investigation of Hierarchical Query Sequence Structure
Pairing Clustered Inverted Indexes with κ-NN Graphs for Fast Approximate Retrieval over Learned Sparse Representations
Web-centric language models
Generating Product Insights from Community Q&A
SK2: Integrating Implicit Sentiment Knowledge and Explicit Syntax Knowledge for Aspect-Based Sentiment Analysis
Simulating Zero-Resource Spoken Term Discovery
CR-Graph: Community Reinforcement for Accurate Community Detection
Cross-domain Recommendation via Adversarial Adaptation
Query Tracking for E-commerce Conversational Search: A Machine Comprehension Perspective
Question Headline Generation for News Articles
Incorporating query difference for learning retrieval functions in world wide web search
Minimizing Tension in Teams
An Empirical Study on How People Perceive AI-generated Music
Annotating Points of Interest with Geo-tagged Tweets
Learning Hypersphere for Few-shot Anomaly Detection on Attributed Networks
When Words Can't Capture It All: Towards Video-Based User Complaint Text Generation with Multimodal Video Complaint Dataset
Leveraging context in user-centric entity detection systems
Selective Tensorized Multi-layer LSTM for Orbit Prediction
Efficient algorithms based on relational queries to mine frequent graphs
Concept-based Short Text Classification and Ranking
Graph-based seed selection for web-scale crawlers
Towards Principled User-side Recommender Systems
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy
Working with first nations: on-demand book service
From Big Data to Big Information and Big Knowledge: the Case of Earth Observation Data
Causality and Independence Enhancement for Biased Node Classification
Combining concept hierarchies and statistical topic models
Popularity-Enhanced News Recommendation with Multi-View Interest Representation
Management and preservation of research data with iRODS
How I learned to stop worrying and love the imminent internet singularity
Data Void Exploits: Tracking & Mitigation Strategies
Trained trigger language model for sentence retrieval in QA: bridging the vocabulary gap
SHOPSMART: product recommendations through technical specifications and user reviews
Online Schemaless Querying of Heterogeneous Open Knowledge Bases
Preserving Update Semantics in Schema Integration
Multi-Order Relations Hyperbolic Fusion for Heterogeneous Graphs
Incremental evaluation of a monotone XPath fragment
KORE: keyphrase overlap relatedness for entity disambiguation
First international workshop on information and knowledge management for developing region
Social and Collaborative Information Seeking: State of the Union
Do all birds tweet the same?: characterizing twitter around the world
Jailbreaking LLMs Through Cross-Cultural Prompts
Pattern discovery for large mixed-mode database
Privacy-Preserving Reachability Query Services for Massive Networks
Separating Semantics from Representation in a Temporal Object Database Domain
U-rank: Utility-oriented Learning to Rank with Implicit Feedback
Graph-Based Object-Oriented Approach for Structural and Behavioral Representation of Multimedia Data
Boolean representation based data-adaptive correlation analysis over time series streams
Understanding Job Seeker Funnel for Search and Discovery Personalization
Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection
Sixth workshop on exploiting semantic annotations in information retrieval (ESAIR'13)
Scalable Local-Recoding Anonymization using Locality Sensitive Hashing for Big Data Privacy Preservation
Augmenting Mathematical Formulae for More Effective Querying & Presentation
On the Impact of Features and Classifiers for Measuring Knowledge Gain during Web Search - A Case Study
Relation-Faceted Graph Pooling with LLM Guidance for Dynamic Span-Aware Information Extraction
More influence means less work: fast latent dirichlet allocation by influence scheduling
On-line index maintenance using horizontal partitioning
3D Visualization Technique for Retrieval of Documents and Images
Identification of a Specific Base Sequence of Pathogenic E. Coli through a Genomic Analysis
The power-method: a comprehensive estimation technique for multi-dimensional queries
KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare
A strategy for allowing meaningful and comparable scores in approximate matching
GLCN: Treatment Effect Estimation via Global-Local Networks with Adversarial Debiasing
STAMINA (Spatial-Temporal Aligned Meteorological INformation Attention) and FPL (Focal Precip Loss): Advancements in Precipitation Nowcasting for Heavy Rainfall Events
Fine-Grained Product Categorization in E-commerce
Tailoring Entity Matching for Industrial Settings
Simultaneous joint and conditional modeling of documents tagged from two perspectives
A Flash Attention Transformer for Multi-Behaviour Recommendation
Logistics Audience Expansion via Temporal Knowledge Graph
Toward Dual Roles of Users in Recommender Systems
How Discriminative Are Your Qrels? How To Study the Statistical Significance of Document Adjudication Methods
Pattern recognition in multivariate time series: dissertation proposal
Improving Spare Part Search for Maintenance Services using Topic Modelling
A Tutorial on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide
International Workshop on Legal Data Analytics and Mining (LeDAM 2018): Preface to the Proceedings
Detecting similar documents using salient terms
Selective Value Coupling Learning for Detecting Outliers in High-Dimensional Categorical Data
RESTFul: Resolution-Aware Forecasting of Behavioral Time Series Data
Session-aware Information Embedding for E-commerce Product Recommendation
Ranking-based Clustering on General Heterogeneous Information Networks by Network Projection
Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation
WMEgo: Willingness Maximization for Ego Network Data Extraction in Online Social Networks
GTE: a distributional second-order co-occurrence approach to improve the identification of top relevant dates in web snippets
Query-specific clustering of search results based on document-context similarity scores
Naive Parallelization of Coordinate Descent Methods and an Application on Multi-core L1-regularized Classification
Hybrid models for future event prediction
EFVAE: Efficient Federated Variational Autoencoder for Collaborative Filtering
Natural Language Understanding with Privacy-Preserving BERT
Maximum In-Support Return Modeling for Dynamic Recommendation with Language Model Prior
Dynamic Neural Control Flow Execution: an Agent-Based Deep Equilibrium Approach for Binary Vulnerability Detection
Measuring Systemic Risk with Network Connectivity: Extended Abstract
Label constrained shortest path estimation
Efficient indexing and querying of XML data using modified Prüfer sequences
k-Nearest neighbor query processing method based on distance relation pattern
Automatic schema merging using mapping constraints among incomplete sources
Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models
Improving Recommendation Accuracy by Combining Trust Communities and Collaborative Filtering
Learning and Transferring Social and Item Visibilities for Personalized Recommendation
Image clustering fusion technique based on BFS
Switch detector: an activity spotting system for desktop
Canonicalizing Open Knowledge Bases
Temporal-Aware User Behaviour Simulation with Large Language Models for Recommender Systems
A Data-Driven Approach to Distinguish Cyber-Attacks from Physical Faults in a Smart Grid
Evaluating profiling and query expansion methods for P2P information retrieval
Imputing Multi-Agent Trajectories from Event and Snapshot Data in Soccer
Exploiting 5W annotations for opinion tracking
A Contrastive Pre-training Approach to Discriminative Autoencoder for Dense Retrieval
Safeguarding Generative AI Applications in Preclinical Imaging through Hybrid Anomaly Detection
Processing relaxed skylines in PDMS using distributed data summaries
Exploiting Electronic Health Records to Mine Drug Effects on Laboratory Test Results
StereoTrust: a group based personalized trust model
ROAD: an efficient framework for location dependentspatial queries on road networks
Estimating the Number and Sizes of Fuzzy-Duplicate Clusters
A flexible simulation environment for flash-aware algorithms
FairAD: Computationally Efficient Fair Graph Clustering via Algebraic Distance
Re-considering neighborhood-based collaborative filtering parameters in the context of new data
Leveraging Intra-Modal Consistency for Cross-Modal Alignment and Retrieval
Learning Indicators in SCIS Tasks
SNPR: A Serendipity-Oriented Next POI Recommendation Model
ExplIQuE: Interactive Databases Exploration with SQL
Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph
Merging taxonomies under RCC-5 algebraic articulations
Clustering short text using Ncut-weighted non-negative matrix factorization
LeDQA: A Chinese Legal Case Document-based Question Answering Dataset
Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction
Inferring Appliance Energy Usage from Smart Meters using Fully Convolutional Encoder Decoder Networks
Lifting News into a Journalistic Knowledge Platform
A Terrain Database Representation Based on an Extended Vector Product Format
DTMBIO 2015: International Workshop on Data and Text Mining in Biomedical Informatics
Recommending Short-lived Dynamic Packages for Golf Booking Services
Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks
Targeted Shilling Attacks on GNN-based Recommender Systems
GPU-Accelerated Graph Clustering via Parallel Label Propagation
Variational Graph Normalized AutoEncoders
Explicit Path CGR: Maintaining Sequence Fidelity in Geometric Representations
Multi-Item-Query Attention for Stable Sequential Recommendation
Epidemiology Inspired Framework for Fake News Mitigationin Social Networks
Functionality and Architecture of a Cooperative Database System: A Vision
PATROL: A Velocity Control Framework for Autonomous Vehicle via Spatial-Temporal Reinforcement Learning
Powering Job Search at Scale: LLM-Enhanced Query Understanding in Job Matching Systems
VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case Law
COKE: Causal Discovery with Chronological Order and Expert Knowledge in High Proportion of Missing Manufacturing Data
NWSearch 2015: International Workshop on Novel Web Search Interfaces and Systems
Application of Large Language Models in Chemistry Reaction Data Extraction and Cleaning
Adapting LLMs for Personalized Evaluation of Explanations for Recommendations: A Meta-Learning Approach based on MAML
Socially Responsible and Trustworthy Generative Foundation Models: Principles, Challenges, and Practices
A novel local patch framework for fixing supervised learning models
AdaHet-MKD: An Adaptive Heterogeneous Multi-teacher Knowledge Distillation for Medical Image Analysis
DeepIST: Deep Image-based Spatio-Temporal Network for Travel Time Estimation
Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks
Summarizing Significant Changes in Network Traffic Using Contrast Pattern Mining
Filtering or adapting: two strategies to exploit noisy parallel corpora for cross-language information retrieval
A quasi-synchronous dependence model for information retrieval
A proactive personalised retrieval system
Finding components of a good accuracy with XAI!
Internet scale string attribute publish/subscribe data networks
Spectral analysis of a blogosphere
Phrase-based document categorization revisited
ORCA: Mitigating Over-Reliance for Multi-Task Dwell Time Prediction with Causal Decoupling
MF-Tree: Matrix Factorization Tree for Large Multi-Class Learning
A Scalable Tool for Democratizing Variant Calling on Human Genomes Using Commodity Clusters
Organizing query completions for web search
Learning sentiment classification model from labeled features
Frontiers of Large Language Model-Based Agentic Systems - Construction, Efficacy and Safety
Exploring Robustness of GNN against Universal Injection Attack from a Worst-case Perspective
PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations
Weakly-Guided User Stance Prediction via Joint Modeling of Content and Social Interaction
Efficient distributed locality sensitive hashing
Qualitative Cleaning of Uncertain Data
Diverging patterns: discovering significant frequency change dissimilarities in large databases
LittleMu: Deploying an Online Virtual Teaching Assistant via Heterogeneous Sources Integration and Chain of Teach Prompts
Information re-finding by context: a brain memory inspired approach
A Data-Driven Index Recommendation System for Slow Queries
TRAWL: External Knowledge-Enhanced Recommendation with LLM Assistance
Securing Bloom Filters for Privacy-preserving Record Linkage
Clustering-based Active Learning on Sensor Type Classification in Buildings
Learning Graph Edit Distance via Node Matching Patterns
Acronym extraction and disambiguation in large-scale organizational web pages
Browsing and Querying in Object-Oriented Database
MDGCF: Multi-Dependency Graph Collaborative Filtering with Neighborhood- and Homogeneous-level Dependencies
HyperSum: hypergraph based semi-supervised sentence ranking for query-oriented summarization
A generative retrieval model for structured documents
Mining Entry Gates for Points of Interest
Hyper-Path-Based Representation Learning for Hyper-Networks
Processing the signature quadratic form distance on many-core GPU architectures
MARIO: Modality-Aware Attention and Modality-Preserving Decoders for Multimedia Recommendation
ARP: Aspect-aware Neural Review Rating Prediction
An Effective Approach for Modelling Time Features for Classifying Bursty Topics on Twitter
Adaptive Query Optimization in a Deductive Database System
CLOCK: Online Temporal Hierarchical Framework for Multi-scale Multi-granularity Forecasting of User Impression
ExpertBert: Pretraining Expert Finding
A Real-Time Adaptive Multi-Stream GPU System For Online Approximate Nearest Neighborhood Search
Session details: Mining biological data and text
On the Storage and Retrieval of Continuous Media Data
Towards Unbiased and Real-Time Staytime Prediction for Live Streaming Recommendation
Causal Interventional Prediction System for Robust and Explainable Effect Forecasting
View and index selection for query-performance improvement: quality-centered algorithms and heuristics
Incremental non-gaussian analysis of microarray gene expression data
Dr. Can See: Towards a Multi-modal Disease Diagnosis Virtual Assistant
I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval
Measuring user preference changes in digital libraries
GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps
Linking Today's Wikipedia and News from the Past
HUSK: A Hierarchically Structured Urban Knowledge Graph Dataset for Multi-Level Spatial Tasks
Knowledge Discovery in Reaction Databases
Do You Really Like Her Post?: Network-Based Analysis for Understanding Like Activities in SNS
Information extraction from biomedical literature: methodology, evaluation and an application
Trapping Malicious Crawlers in Social Networks
SPARK: Adaptive Low-Rank Knowledge Graph Modeling in Hybrid Geometric Spaces for Recommendation
MOHPER: Multi-objective Hyperparameter Optimization Framework for E-commerce Retrieval System
Indexes for highly repetitive document collections
Finding all justifications of OWL entailments using TMS and MapReduce
Reformulating Query Plans for Multidatabase Systems
Debiasing Neighbor Aggregation for Graph Neural Network in Recommender Systems
Facilitating real-time graph mining
A GAN-based Framework for Modeling Hashtag Popularity Dynamics Using Assistive Information
Characterizing the evolution of collaboration network
In the development of a spanish metamap
Research proposal for distributed deep web search
Motif discovery in spatial trajectories using grammar inference
A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty
Self-Paced and Discrete Multiple Kernel k -Means
AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation
Enhancing Dynamic On-demand Food Order Dispatching via Future-informed and Spatial-temporal Extended Decisions
CNN to GNN: Unsupervised Multi-level Knowledge Learning
Joint Rebalancing and Charging for Shared Electric Micromobility Vehicles with Energy-informed Demand
LLMCBR: Large Language Model-based Multi-View and Multi-Grained Learning for Bundle Recommendation
Optimizing Email Volume For Sitewide Engagement
Online duplicate document detection: signature reliability in a dynamic retrieval environment
On Novel Object Recognition: A Unified Framework for Discriminability and Adaptability
PrLM: Learning Explicit Reasoning for Personalized RAG via Contrastive Reward Optimization
Detecting the Fake Candidate Instances: Ambiguous Label Learning with Generative Adversarial Networks
PKGRec: Personal Knowledge Graph Construction and Mining for Federated Recommendation Enhancement
CANCN-BERT: A Joint Pre-Trained Language Model for Classical and Modern Chinese
Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation
Kids Computer Interaction with a Focus on Story Telling and Educational Robotics
Minimal data sets vs. synchronized data copies in a schema and data versioning system
Using titles and category names from editor-driven taxonomies for automatic evaluation
Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), Galway, Ireland, October 19-23, 2020
A Method of Geographical Name Extraction from Japanese Text for Thematic Geographical Search
RoSeS: a continuous query processor for large-scale RSS filtering and aggregation
Label-Aware Graph Convolutional Networks
Supervised Robust Discrete Multimodal Hashing for Cross-Media Retrieval
Knowledge-Sensed Cognitive Diagnosis for Intelligent Education Platforms
An FCA-based solution for ontology mediation
Centerpoint Query Authentication
Discretionary social network data revelation with a user-centric utility guarantee
Memory Graph with Message Rehearsal for Multi-Turn Dialogue Generation
Distributed Algorithm for Relationship Queries on Large Graphs
Modelling the Usefulness of Document Collections for Query Expansion in Patient Search
Human-AI Collaboration for Improving the Identification of Cars for Autonomous Driving
Understanding and Modeling Job Marketplace with Pretrained Language Models
Privacy policy robustness to reverse engineering
Detecting Social Bots by Jointly Modeling Deep Behavior and Content Information
Twitter hyperlink recommendation with user-tweet-hyperlink three-way clustering
Performance Prediction of Elementary School Students in Search Tasks
Detecting Environmental Violations with Satellite Imagery in Near Real Time: Land Application under the Clean Water Act
Faithful Abstractive Summarization via Fact-aware Consistency-constrained Transformer
Causal Intervention for Sentiment De-biasing in Recommendation
GameTrail: Probabilistic Lifecycle Process Model for Deep Game Understanding
Soft Seeded SSL Graphs for Unsupervised Semantic Similarity-based Retrieval
Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-task Learning
Clustered subset selection and its applications on it service metrics
Please spread: recommending tweets for retweeting with implicit feedback
Exploiting concept hierarchy for result diversification
Transfer incremental learning for pattern classification
Speller performance prediction for query autocorrection
Implementation techniques for large-scale latent semantic indexing applications
Proceedings of the 1999 ACM CIKM International Conference on Information and Knowledge Management, Kansas City, Missouri, USA, November 2-6, 1999
GAEAT: Graph Auto-Encoder Attention Networks for Knowledge Graph Completion
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification
IWILDS'20: The 1st International Workshop on Investigating Learning during Web Search
SERM: A Recurrent Model for Next Location Prediction in Semantic Trajectories
AIDA-Social: Entity Linking on the Social Stream