yusuke1997/dblp-id-title huggingface dataset:
How do humans distinguish different people with identical names on the web?
BBoxDB - A Scalable Data Store for Multi-Dimensional Big Data
ReDRIVE: result-driven database exploration through recommendations
CiteData: a new multi-faceted dataset for evaluating personalized search performance
ExpressQ: Identifying Keyword Context and Search Target in Relational Keyword Queries
Robust Spectral Ensemble Clustering
A Multi-granularity Network for Emotion-Cause Pair Extraction via Matrix Capsule
Transforming Digital Forensics with Large Language Models: Unlocking Automation, Insights, and Justice
Accounting for data dependencies within a hierarchical dirichlet process mixture model
On the Impact of Speech Recognition Errors in Passage Retrieval for Spoken Question Answering
CP-index: on the efficient indexing of large graphs
3rd international workshop on patent information retrieval (PaIR'10)
Novel applications of information retrieval techniques to peer-to-peer file-sharing systems
CIKM '95, Proceedings of the 1995 International Conference on Information and Knowledge Management, November 28 - December 2, 1995, Baltimore, Maryland, USA
On Isolation, Concurrency, and the Venus Rule Language
Context-Aware Prompt for Generation-based Event Argument Extraction with Diffusion Models
BL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion
Domain Knowledge Guided Deep Atrial Fibrillation Classification and Its Visual Interpretation
Using sequence classification for filtering web pages
Matching query processing in high-dimensional space
Computing Betweenness Centrality in B-hypergraphs
Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation
Social recommendation incorporating topic mining and social trust analysis
Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM 2008, Napa Valley, California, USA, October 26-30, 2008
Graph-Based Multi-Modality Learning for Clinical Decision Support
Online Expectation-Maximization for Click Models
Dual-Augment Graph Neural Network for Fraud Detection
AI-safe Autocompletion with RAG and Relevance Curation
Falcon 2.0: An Entity and Relation Linking Tool over Wikidata
Improving Chinese Character Representation with Formation Graph Attention Network
Semi-supervised learning to rank with preference regularization
Alignment of short length parallel corpora with an application to web search
PODIUM: Probabilistic Datalog Analysis via Contribution Maximization
Exploiting Geographical Neighborhood Characteristics for Location Recommendation
IR From Bag-of-words to BERT and Beyond through Practical Experiments
Using Star Clusters for Filtering
HyperGraph Convolution Based Attributed HyperGraph Clustering
HGMF: Hierarchical Group Matrix Factorization for Collaborative Recommendation
Weak Regression Enhanced Lifelong Learning for Improved Performance and Reduced Training Data
BiasTrust: teaching biased users about controversial topics
Vandalism Detection in Wikidata
Location recommendation for out-of-town users in location-based social networks
A Hyperbolic-to-Hyperbolic User Representation with Multi-aspect for Social Recommendation
Automatic Gaussian Process Model Retrieval for Big Data
Modeling Temporal Primitives: Back to Basics
Querying external source code files of programs connecting to a relational database
Fast Approximations of Betweenness Centrality with Graph Neural Networks
Categorizing web queries according to geographical locality
Web page classification on child suitability
A new framework to combine descriptors for content-based image retrieval
ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning
Molecular Substructure-Aware Network for Drug-Drug Interaction Prediction
Privacy-enhanced public view for social graphs
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation
DP-COMET: A Differential Privacy Contextual Obfuscation MEchanism for Texts in Natural Language Processing
Dual encryption for query integrity assurance
Collaborative resource discovery in social tagging systems
Bootstrapping active name disambiguation with crowdsourcing
Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities
An architecture for personalized health information retrieval
H-DB: a hybrid quantitative-structural sql optimizer
Knowledge and information management: Is it possible to do interesting and important research, get funded, be useful and appreciated?
Error-driven generalist+experts (edge): a multi-stage ensemble framework for text categorization
Guided-LIME: Structured Sampling based Hybrid Approach towards Explaining Blackbox Machine Learning Models
NumJoin: Discovering Numeric Joinable Tables with Semantically Related Columns
Generating links to background knowledge: a case study using narrative radiology reports
Query-Driven Mining of Citation Networks for Patent Citation Retrieval and Recommendation
Topic detection and organization of mobile text messages
Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning
DCAI: The 4th International Workshop on Data-Centric AI
Active Search using Meta-Bandits
UFeed: Refining Web Data Integration Based on User Feedback
Efficient Discovery of Ontology Functional Dependencies
SGES: A General and Space-efficient Framework for Graphlet Counting in Graph Streams
Supporting stock trading in multiple foreign markets: a multilingual news summarization approach
Scalable Vaccine Distribution in Large Graphs given Uncertain Data
Multi-Task Learning through Hierarchical Information Sharing and Transfer
A Network-Aware Approach for Searching As-You-Type in Social Media
Proceedings of the 2005 ACM Workshop on Research in Knowledge Representation for Autonomous Systems, KRAS 2005, Bremen, Germany, November 4, 2005, 2005
Spatial influence vs. community influence: modeling the global spread of social media
Scalable Entity Resolution Using Probabilistic Signatures on Parallel Databases
Towards a provenance framework for sub-image processing for astronomical data
k-sums Clustering: A Stochastic Optimization Approach
Domain Model Based Hypertext for Collaborative Authoring
Patterns in the stream: exploring the interaction of polarity, topic, and discourse in a large opinion corpus
Bidirectional Temporal-Aware Modeling with Multi-Scale Mixture-of-Experts for Multivariate Time Series Forecasting
Clustering Transactions Using Large Items
Efficient range-constrained similarity search on wavelet synopses over multiple streams
Re-ranking for joint named-entity recognition and linking
Context-aware query recommendation by learning high-order relation in query logs
Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems
Discovering logical knowledge for deep question answering
A Generative Benchmark Creation Framework for Detecting Common Data Table Versions
Learning similarity measures in non-orthogonal space
Personalized web search by mapping user queries to categories
Flexible and adaptive subspace search for outlier analysis
Learning Saliency Maps to Explain Deep Time Series Classifiers
Advancing Temporal Sensitive Question Answering through Progressive Multi-Step Reflection
Multidimensional political spectrum identification and analysis
Online update of b-trees
Numerical Feature Representation with Hybrid N -ary Encoding
Self-supervised Contrastive Enhancement with Symmetric Few-shot Learning Towers for Cold-start News Recommendation
Let Topology Speak: Graph Neural Network with Topology-Aware Augmentation
LiteratureQA: A Qestion Answering Corpus with Graph Knowledge on Academic Literature
Benchmarking Challenges for Temporal Knowledge Graph Alignment
Debiased Graph Poisoning Attack via Contrastive Surrogate Objective
Finding similar questions in large question and answer archives
Mining officially unrecognized side effects of drugs by combining web search and machine learning
Mining linguistic cues for query expansion: applications to drug interaction search
Deep Sequential Models for Task Satisfaction Prediction
Modeling Opinion Influence with User Dual Identity
Hierarchy-Consistent Learning and Adaptive Loss Balancing for Hierarchical Multi-Label Classification
STKGNN: Scalable Spatio-Temporal Knowledge Graph Reasoning for Activity Recognition
IR principles for content-based indexing and retrieval of functional brain images
Shine: search heterogeneous interrelated entities
Sparse Attentive Memory Network for Click-through Rate Prediction with Long Sequences
Pantheon: Personalized Multi-objective Ensemble Sort via Iterative Pareto Policy Optimization
What Rankers Can be Statistically Distinguished in Multileaved Comparisons?
DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades
Mining (maximal) Span-cores from Temporal Networks
Gate-based Bidirectional Interactive Decoding Network for Scene Text Recognition
Aggregation Techniques in Crowdsourcing: Multiple Choice Questions and Beyond
SQL Database Primitives for Decision Tree Classifiers
Attribute-enhanced Dual Channel Representation Learning for Session-based Recommendation
Effective Arabic-English Cross-Language Information Retrieval via Machine-Readable Dictionaries and Machine Translation
Logic Enhanced Commonsense Inference with Chain Transformer
Recency-sensitive model of web page authority
DoRA: Domain-Based Self-Supervised Learning Framework for Low-Resource Real Estate Appraisal
Digesting Multilingual Reader Comments via Latent Discussion Topics with Commonality and Specificity
Crowdsourcing-based Urban Anomaly Prediction System for Smart Cities
Using Cases to Represent Context for Text Classification
Efficiency Boost in Decentralized Optimization: Reimagining Neighborhood Aggregation with Minimal Overhead
SAUCE: Truncated Sparse Document Signature Bit-Vectors for Fast Web-Scale Corpus Expansion
A model-based approach for RFID data stream cleansing
Flexible O&M for Telecom Networks at Huawei: A Language Model-based Approach
Early Stage Sparse Retrieval with Entity Linking
Non-Compliant Bandits
Scary films good, scary flights bad: topic driven feature selection for classification of sentiment
High-performance distributed inverted files
SwaGNER: Leveraging Span-aware Grid Transformers for Accurate Nested Named Entity Recognition
Embedding Fuzzy K-Means with Nonnegative Spectral Clustering via Incorporating Side Information
Two-Level Models of Hypertext
CyberSafety 2016: The First International Workshop on Computational Methods in CyberSafety
Graph Convolutional Networks with Motif-based Attention
Exploring and visualizing academic social networks
An efficient data-centric storage scheme considering storage and query hot-spots in sensor networks
Efficiently Answering Minimum Reachable Label Set Queries in Edge-Labeled Graphs
Proceedings of the First International Workshop on Computational Methods for CyberSafety, CyberSafety@CIKM 2016, Indianapolis, IN, USA, October 28, 2016
Active Collaborative Sensing for Energy Breakdown
Learning to Augment Imbalanced Data for Re-ranking Models
Augment to Prevent: Short-Text Data Augmentation in Deep Learning for Hate-Speech Classification
Defining Contextual Factors for News Consumption
Joint inference for cross-document information extraction
Plagiarism detection based on structural information
A topical link model for community discovery in textual interaction graph
Approximated Doubly Robust Search Relevance Estimation
Who are My Familiar Strangers?: Revealing Hidden Friend Relations and Common Interests from Smart Card Data
Compression-Based Selective Sampling for Learning to Rank
Combination of Rule-based and Textual Similarity Approaches to Match Financial Entities
Rumor Detection with Hierarchical Social Attention Network
Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks
HGCH: A Hyperbolic Graph Convolution Network Model for Heterogeneous Collaborative Graph Recommendation
Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning
cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending
Extracting the author of web pages
Integration of cluster ensemble and EM based text mining for microarray gene cluster identification and annotation
The importance of being socially-savvy: quantifying the influence of social networks on microblog retrieval
Hearable Image: On-Device Image-Driven Sound Effect Generation for Hearing What You See
Trojan Activation Attack: Red-Teaming Large Language Models using Steering Vectors for Safety-Alignment
Selective user interaction
Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction
IWILDS'21: Second International Workshop on Learning During Web Search
Adaptive term frequency normalization for BM25
Event detection from flickr data through wavelet-based spatial analysis
Weighted Similarity Estimation in Data Streams
Spam characterization and detection in peer-to-peer file-sharing systems
ClaimVerif: A Real-time Claim Verification System Using the Web and Fact Databases
A GPU-based Graph Pattern Mining System
UXSim: Towards a Hybrid User Search Simulation
What Users Ask a Search Engine: Analyzing One Billion Russian Question Queries
The Need for Metrics in Visual Information Analysis
Msuggest: a semantic recommender framework for traditional chinese medicine book search engine
XQGen: an algebra-based XPath query generator for micro-benchmarking
Harnessing Large Language Models for Group POI Recommendations
GRETEL: Graph Counterfactual Explanation Evaluation Framework
Collaborative Interaction Behavior in the Era of Open Science Movement
Time feature selection for identifying active household members
A Novel Approach for Efficient Computation of Community Aware Ridesharing Groups
Efficient Non-sampling Expert Finding
On handling textual errors in latent document modeling
Periormer: Periodic Transformer for Seasonal and Irregularly Sampled Time Series
PQC: personalized query classification
Integrating Constraints in Complex Objects
Axiomatic Analysis of Cross-Language Information Retrieval
Learning with Temporal Knowledge Graphs
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017
GeoFlink: A Distributed and Scalable Framework for the Real-time Processing of Spatial Streams
Experimental Evaluation of Dynamic Data Allocation Strategies in A Distributed Database with Changing Workloads
Predicting Personal Life Events from Streaming Social Content
Speed up semantic search in p2p networks
Health conversational system based on contextual matching of community-driven question-answer pairs
TrajFormer: Efficient Trajectory Classification with Transformers
MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models
LLM-based Interactive Coding Education via Predictive Query Management and Student-Centered Fine-Tuning: Design and Implementation with 1500-Student Class Data
OMS-TL: a framework of online multiple source transfer learning
Using virtual documents to move information retrieval and knowledge management closer together
Adaptive geospatially focused crawling
Sentiment analysis of movie reviews on discussion boards using a linguistic approach
A Simple Meta-path-free Framework for Heterogeneous Network Embedding
TABLE: A Task-Adaptive BERT-based ListwisE Ranking Model for Document Retrieval
STAR: Sparse Text Approach for Recommendation
Semi-supervised learning for music artists style identification
A latent variable model for query expansion using the hidden markov model
ECG-Doctor: An Interpretable Multimodal ECG Diagnosis Framework Based on Large Language Models
Open-Source LLM-based Relevance Assessment vs. Highly Reliable Manual Relevance Assessment: A Case Study
Scalable collaborative filtering using incremental update and local link prediction
Understanding Within-Content Engagement through Pattern Analysis of Mouse Gestures
A formal study of classification techniques on entity discovery and their application to opinion mining
RepMedGAN: Self-supervised Representation-guided Medical GAN for Label-free Medical Image Synthesis
Scalable Clustering Algorithm via a Triangle Folding Processing for Complex Networks
SRGSIS: a novel framework based on social relationship graph for social image search
Learning Effective Representations for Person-Job Fit by Feature Fusion
Conversational Product Search Based on Negative Feedback
Probing the Robustness of Pre-trained Language Models for Entity Matching
Few-Shot Relational Triple Extraction with Perspective Transfer Network
Multi-Task Modeling of Student Knowledge and Behavior
Anomaly Detection for Advanced Driver Assistance System with NCDE-based Normalizing Flow
Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning
Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network
Learning user's intent using user tags: intelligent interactive image search system
Learning to Represent Knowledge Graphs with Gaussian Embedding
The robustness of content-based search in hierarchical peer to peer networks
Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks
Honest-Majority Maliciously Secure Skyline Queries on Outsourced Data
Towards query log based personalization using topic models
A Neural Network Approach to Quote Recommendation in Writings
Exploring Diversified Similarity with Kundaha
Form 10-Q Itemization
Data-Driven Contextual Valence Shifter Quantification for Multi-Theme Sentiment Analysis
A Sentiment and Style Controllable Approach for Chinese Poetry Generation
Rethinking Sentiment Analysis under Uncertainty
Exact match search in sequence data using suffix trees
An Improved Method of Automated Nonparametric Content Analysis for Social Science
Background for Association Rules and Cost Estimate of Selected Mining Algorithms
Modeling Affinity based Popularity Dynamics
K-AID: Enhancing Pre-trained Language Models with Domain Knowledge for Question Answering
Direct comparison of commercial and academic retrieval system: an initial study
MIC: Model-agnostic Integrated Cross-channel Recommender
Magellan: A Personalized Travel Recommendation System Using Transaction Data
Wikification via link co-occurrence
A Hypothesis Refinement Method for Summary Discovery in Databases
On privacy preservation in text and document-based active learning for named entity recognition
Learning to rank for robust question answering
Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation
Duplicate detection through structure optimization
From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification
A matrix-based approach for semi-supervised document co-clustering
Cutty: Aggregate Sharing for User-Defined Windows
A User Experience Model for Privacy and Context Aware Over-the-Top (OTT) TV Recommendations
Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction
RecDiff: Diffusion Model for Social Recommendation
An NVM SSD-Optimized Query Processing Framework
Fifty Shades of Pink: Understanding Color in e-commerce using Knowledge Graphs
An Efficient and Reliable Reservation Algorithm for Mobile Transactions
Evaluating the Prediction Bias Induced by Label Imbalance in Multi-label Classification
Evaluating Document Retrieval Methods for Resource Selection in Clustered P2P IR
Disentangled Representation for Long-tail Senses of Word Sense Disambiguation
STORM: Spatio-Temporal Similar Trajectory Retrieval on Non-Uniform Maritime Data
Privacy without noise
Linear time membership in a class of regular expressions with interleaving and counting
Online community search using thread structure
Accelerating locality preserving nonnegative matrix factorization
Inferring Trip Occupancies in the Rise of Ride-Hailing Services
Graph Analytical Re-Ranking for Entity Search
Learning compact hashing codes for efficient tag completion and prediction
Integrating Static and Time-Series Data in Deep Recurrent Models for Oncology Early Warning Systems
A Graph Matching Attack on Privacy-Preserving Record Linkage
Hyperspectral Anomaly Detection based on Low-rank Structure Exploration
Eigenvalues perturbation of integral operator for kernel selection
FinBot: A Memory-Augmented Intelligent Financial Assistant
Bridging the Gap between Knowledge Graphs and LLMs for Multi-hop Question Answering
Beyond Aggregation: Efficient Federated Model Consolidation with Heterogeneity-Adaptive Weights Diffusion
Bias Invariant Approaches for Improving Word Embedding Fairness
Predicting baby feeding method from unstructured electronic health record data
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer
VocQuiz: Vocabulary Question Generation for English Language Education
A Simulation Study on Demand Disruptions and Limited Resources for Healthcare Provision
DATSING: Data Augmented Time Series Forecasting with Adversarial Domain Adaptation
MTGR: Industrial-Scale Generative Recommendation Framework in Meituan
Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models
Sentence Retrieval with Sentiment-specific Topical Anchoring for Review Summarization
LayerPlexRank: Exploring Node Centrality and Layer Influence through Algebraic Connectivity in Multiplex Networks
Preface and Keynote's Talk of the Workshop on Social Interaction-based Recommendation (SIR 2018)
An analysis of crowd workers mistakes for specific and complex relevance assessment task
Cost-efficient repair in inconsistent probabilistic databases
ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal
Supporting temporal analytics for health-related events in microblogs
PROQID: partial restarts of queries in distributed databases
A Practical Fine-grained Approach to Resolving Incoherent OWL 2 DL Terminologies
Mining Cross Features for Financial Credit Risk Assessment
An Explainable Multi-atlas Fusion Model based on Spatial Overlap for ASD Diagnosis
SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation
Imitation Learning to Outperform Demonstrators by Directly Extrapolating Demonstrations
Cross-Domain Product Search with Knowledge Graph
PP4RNR: Popularity- and Position-Aware Contrastive Learning for Retrieval-Driven News Recommendation
DOLAP 2010 workshop summary
IntentsKB: A Knowledge Base of Entity-Oriented Search Intents
Reasoning over Incomplete Knowledge Graphs
Robust Adaptive-weighting Multi-view Classification
Causality and responsibility: probabilistic queries revisited in uncertain databases
GranCATs: Cross-Lingual Enhancement through Granularity-Specific Contrastive Adapters
Pet-Bench: Benchmarking the Abilities of Large Language Models as E-Pets in Social Network Services
Emerging data management systems: close-up and personal
Tools for whom: readers, fans, or authors?
FCS-HGNN: Flexible Multi-type Community Search in Heterogeneous Information Networks
Cross-Market Product Recommendation
Unified Generative & Dense Retrieval for Query Rewriting in Sponsored Search
Mirroring the real world in social media: twitter, geolocation, and sentiment analysis
Privacy-Preserving Graph Embedding based on Local Differential Privacy
HEDC: a histogram estimator for data in the cloud
The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective
A Multi-Interest Evolution Story: Applying Psychology in Query-based Recommendation for Inferring Customer Intention
Massive structured data management solution
Exploiting topic tracking in real-time tweet streams
Evaluating Robustness of LLMs in Question Answering on Multilingual Noisy OCR Data
Reformulating Conversational Recommender Systems as Tri-Phase Offline Policy Learning
Forecasting Geo-sensor Data with Participatory Sensing Based on Dropout Neural Network
Causal Effect Variational Transformer for Public Health Measures and COVID-19 Infection Cluster Analysis
M-Grid: similarity searching in grid
Understanding the Multi-vector Dense Retrieval Models
Improving the classification of newsgroup messages through social network analysis
Not All Neighbors are Friendly: Learning to Choose Hop Features to Improve Node Classification