yusuke1997/dblp-id-title huggingface dataset:
RDFViewS: a storage tuning wizard for RDF applications
Lightweight Visual Question Answering using Scene Graphs
BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware
CARPG: Cross-City Knowledge Transfer for Traffic Accident Prediction via Attentive Region-Level Parameter Generation
First Story Detection In TDT Is Hard
Geolocating Tweets in any Language at any Location
Robust Handwritten Text Recognition via Multi-Source Adversarial Domain Adaptation for Low-Resource Scripts
Efficient Variant Calling on Human Genome Sequences Using a GPU-Enabled Commodity Cluster
Top-N Recommendation on Graphs
Representation Learning in Continuous-Time Dynamic Signed Networks
E-Books are not books
TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations
Ginga: a self-adaptive query processing system
Spreadsheet Property Detection With Rule-assisted Active Learning
Multilevel business process modeling: motivation, approach, design issues, and applications
Semi-automatic annotation and MPEG-7 authoring of dance videos
Leveraging Knowledge Graphs and LLMs to Support and Monitor Legislative Systems
A Configurable Approach for Object Sharing Among Multidatabase Systems
A Universal and Interpretable Method for Enhancing Stock Price Prediction
Enhancing Knowledge Graph Completion By Embedding Correlations
Robust video fingerprinting based on hierarchical symmetric difference feature
Argumentation-Driven Information Extraction for Online Crime Reports
Corrective Guidance and Learning for Dialogue Management
Focused Crawling for Structured Data
Designing the reconciled schema for a pharmacovigilance data warehouse through a temporally-enhanced ER model
Relying on topic subsets for system ranking estimation
RevEx: An Online Consumer Reviews Extraction Tool
Inducing Causal Structure for Abstractive Text Summarization
Corrupted queries in Spanish text retrieval: error correction vs. N-Grams
SDM: Sequential Deep Matching Model for Online Large-scale Recommender System
Geotagging Named Entities in News and Online Documents
Product feature categorization with multilevel latent semantic association
Isolation of Transaction Aborts in Object-Oriented Database Management Systems
Multiple Rumor Source Detection with Graph Convolutional Networks
Evaluation with the VIRTUOSO platform: an open source platform for information extraction and retrieval evaluation
Biological pathways as features for microarray data classification
A practical concurrent index for solid-state drives
The 8th Workshop on Graph Techniques for Adversarial Activity Analytics (GTA 3 2024)
Condorcet fusion for improved retrieval
Multi-scale link prediction
A secure pervasive health care system using location dependent unicast key generation scheme
Can back-of-the-book indexes be automatically created?
Recurrent Neural Networks with Top-k Gains for Session-based Recommendations
Customizing search results for non-native speakers
Aging effects on query flow graphs for query suggestion
POTATO: exPlainable infOrmation exTrAcTion framewOrk
CLAP: Coreference-Linked Augmentation for Passage Retrieval
℘-MinHash Algorithm for Continuous Probability Measures: Theory and Application to Machine Learning
Karsha Drawdown Explorer Demonstration
Process-Informed Deep Learning for Enhanced Order Fulfillment Cycle Time Prediction in On-Demand Grocery Retailing
Context modeling and discovery using vector space bases
TrafCL: Robust Encrypted Malicious Traffic Detection via Contrastive Learning
Modeling Heterogeneous Graph Network on Fraud Detection: A Community-based Framework with Attention Mechanism
A Unified View on Graph Neural Networks as Graph Signal Denoising
Evaluation Framework for Context-aware Speaker Recognition in Noisy Smart Living Environments
A comparative study of methods for estimating query language models with pseudo feedback
Efficient processing of twig pattern matching in fuzzy XML
Toward Semantic Assessment of Vulnerability Severity: A Text Mining Approach
EnDeA: Ensemble based Decoupled Adversarial Learning for Identifying Infrastructure Damage during Disasters
Kernel methods, syntax and semantics for relational text categorization
Latent Aspect Detection via Backtranslation Augmentation
REFINE: Random RangE FInder for Network Embedding
To obtain orthogonal feature extraction using training data selection
TPR: Text-aware Preference Ranking for Recommender Systems
Structural Relationship Representation Learning with Graph Embedding for Personalized Product Search
Personalized point-of-interest recommendation by mining users' preference transition
A "quick and dirty" website data quality indicator
Discovering, ranking and annotating cross-document relationships between concepts
SIoTEc 2025 - 6th edition of ACM Workshop on Secure IoT, Edge and Cloud systems
Effect of Model Merging in Domain-Specific Ad-hoc Retrieval
Selecting the Optimal Groups: Efficiently Computing Skyline k-Cliques
An Efficient PIM-Based Graph Engine on a Single Machine
Integrating Priors into Domain Adaptation Based on Evidence Theory
Managing interoperability and complexity inhealth systems: MIXHS'11 workshop summary
Enhancing Information Diffusion Prediction via Multiple Granularity Hypergraphs and Position-aware Sequence Model
Stemming and lemmatization in the clustering of finnish text documents
Adaptive Spline Networks in the Kolmogorov-Arnold Framework: Knot Analysis and Stability Enhancement
Diversifying Multi-aspect Search Results Using Simpson's Diversity Index
Term context models for information retrieval
Multi-objective Few-shot Learning for Fair Classification
Channel-Aware Low-Rank Adaptation in Time Series Forecasting
Sequential Recommender via Time-aware Attentive Memory Network
Exploiting query term correlation for list caching in web search engines
MAPer: A Multi-scale Adaptive Personalized Model for Temporal Human Behavior Prediction
ASAP: Unsupervised Post-training with Label Distribution Shift Adaptive Learning Rate
Learning to Ask: Question-based Sequential Bayesian Product Search
A Compare-Aggregate Model with Latent Clustering for Answer Selection
Incremental Graph Convolutional Network for Collaborative Filtering
On the credibility of wikipedia: an accessibility perspective
Learning to Re-Rank Questions in Community Question Answering Using Advanced Features
Feature selection for ranking using boosted trees
A comparative evaluation of personality estimation algorithms for the twin recommender system
The Subspace Coding Method: A New Indexing Scheme for High-Dimensional Data
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction
Lessons from the implementation of an adaptive parts acquisition ePortal
MillGNN: Learning Multi-Scale Lead-Lag Dependencies for Multi-Variate Time Series Forecasting
Learning document aboutness from implicit user feedback and document structure
SLOQUE: slot-based query expansion for complex questions
Extracting collective expectations about the future from large text collections
GraphITE: Estimating Individual Effects of Graph-structured Treatments
A framework for selective query expansion
Sort-based query-adaptive loading of R-trees
The Shapley Value of Classifiers in Ensemble Games
Compact reachability labeling for graph-structured data
Queryable Acyclic Production Systems
Machamp: A Generalized Entity Matching Benchmark
Extracting Skill Endorsements from Personal Communication Data
LARCH: Large Language Model-based Automatic Readme Creation with Heuristics
Thematic Bottleneck Models for Multimodal Analysis of School Attendance
Aligning Vertical Collection Relevance with User Intent
Pattern-based semantic class discovery with multi-membership support
Global and Local Influence-based Social Recommendation
Enhancing Badminton Player Performance via a Closed-Loop AI Approach: Imitation, Simulation, Optimization, and Execution
The t4sql temporal query language
An automatic approach to construct domain-specific web portals
Using specification-driven concepts for distributed data management and dissemination
Information-complete and redundancy-free keyword search over large data graphs
Proceeding of the 2008 ACM Workshop on Search in Social Media, SSM 2008, Napa Valley, California, USA, October 30, 2008
Bayesian Privacy Guarantee for User History in Sequential Recommendation Using Randomised Response
Generating News-Centric Crossword Puzzles As A Constraint Satisfaction and Optimization Problem
Inferring Visualization Intent from Conversation
Precision-Oriented Query Facet Extraction
GGP: A Graph-based Grouping Planner for Explicit Control of Long Text Generation
Attention Calibration for Transformer-based Sequential Recommendation
RIN: Reformulation Inference Network for Context-Aware Query Suggestion
ADOR: A New Medical Dataset for Sentiment-based IR
Using semantics to process legal document updates
Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning
Time Series Analysis of Nursing Notes for Mortality Prediction via a State Transition Topic Model
Dynamic Collaborative Recurrent Learning
LocWeb'14 - 4th International Workshop on Location and the Web: CIKM 2014 Workshop Summary
Improve retrieval accuracy for difficult queries using negative feedback
Mining-based compression approach of propositional formulae
Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval
Continuous keyword search on multiple text streams
iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models
User guided entity similarity search using meta-path selection in heterogeneous information networks
Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy
Post-rank reordering: resolving preference misalignments between search engines and end users
Traversing the Journey of Data and AI: From Convergence to Translation
LLM-based Automated Web Retrieval and Text Classification of Food Sharing Initiatives
A Foundation for Commitments as Resource Management in Multi-Agent Systems
The Role of Relevance in Sponsored Search
Best-k queries on database systems
Toward Robust Machine Learning under Diverse Incomplete Data Mechanisms in Real-World Applications
Landmark Explanation: An Explainer for Entity Matching Models
Named Entity Disambiguation for Resource-Poor Languages
Deploying Hash Tables on Die-Stacked High Bandwidth Memory
Concept-based document readability in domain specific information retrieval
Dyadic event attribution in social networks with mixtures of hawkes processes
NagE: Non-Abelian Group Embedding for Knowledge Graphs
TEAMOPT: Interactive Team Optimization in Big Networks
A Recurrent Neural Network for Sentiment Quantification
MASS: a multi-axis storage structure for large XML documents
Formal approach and automated tool for constructing ontology from object-oriented database model
Towards noise-resilient document modeling
Irregularity in Multi-Dimensional Space-Filling Curves with Applications in Multimedia Databases
Fast Heuristics for Near-Optimal Task Allocation in Data Stream Processing over Clusters
Imbalanced sentiment classification
Rebuilding the Tower of Babel: Towards Cross-System Malware Information Sharing
Offensive text detection across languages and datasets using rule-based and hybrid methods
Improving user interest inference from social neighbors
Auto-completion for Data Cells in Relational Tables
You can stop early with COLA: online processing of aggregate queries in the cloud
GHOST: an effective graph-based framework for name distinction
Improved index compression techniques for versioned document collections
"Let Me Tell You About Your Mental Health!": Contextualized Classification of Reddit Posts to DSM-5 for Web-based Intervention
Utilizing sub-topical structure of documents for information retrieval
Improved latent concept expansion using hierarchical markov random fields
Privacy-Preserving Batch-based Task Assignment in Spatial Crowdsourcing with Untrusted Server
SoMeSci- A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific Articles
Explainable Link Prediction in Knowledge Hypergraphs
CSSA'20: Workshop on Combining Symbolic and Sub-Symbolic Methods and their Applications
Probabilistic model for discovering topic based communities in social networks
3se: a semi-structured search engine for heterogeneous data in graph model
A Unified Index for Spatio-Temporal Keyword Queries
DeepCamera: A Unified Framework for Recognizing Places-of-Interest based on Deep ConvNets
Learning to rank audience for behavioral targeting in display ads
PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval
Effective ranked conceptual retrieval
Dynamic Causal Collaborative Filtering
Ranking support for keyword search on structured data using relevance models
Navigating the topical structure of academic search results via the Wikipedia category network
Towards Time-Discounted Influence Maximization
A Payment Transaction Pre-training Model for Fraud Transaction Detection
Adaptive Information Filtering: Detecting Changes in Text Streams
TESSM: Tree-based Selective State Space Models for Efficient Join Order Selection Learning
BigNet 2016: First Workshop on Big Network Analytics
CloudDB workshop summary
Proceedings of the 5th Ph.D. Workshop on Information and Knowledge Management, PIKM 2012, Maui, HI, USA, November 2, 2012
Classifying networked entities with modularity kernels
Explainable Numerical Claim Verification
Learning to aggregate vertical results into web search results
A cluster based mobile peer to peer architecture in wireless ad hoc networks
Optimized processing of multiple aggregate continuous queries
Towards Fair Graph Neural Networks via Graph Counterfactual
Independent informative subgraph mining for graph information retrieval
Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data
Frailty Detection using Presence in a Room
Partisan alignments and political polarization online: a computational approach to understanding the french and US presidential elections
Scalable Distributed Belief Propagation with Prioritized Block Updates
"Bridge": Enhanced Signed Directed Network Embedding
Bridging the Gap between Click and Relevance for Learning-to-Rank with Minimal Supervision
Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction
A survey of pre-retrieval query performance predictors
Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation
Finding information nebula over large networks
Node ranking in labeled directed graphs
Deep Collaborative Filtering via Marginalized Denoising Auto-encoder
Approximating the top-m passages in a parallel question answering system
Tracking changes in user interests with a few relevance judgments
Learning cross-document structural relationships using boosting
BOVIS: Bias-Mitigated Object-Enhanced Visual Emotion Analysis
Goal-oriented methods and meta methods for document classification and their parameter tuning
SVM Binary Classifier Ensembles for Image Classification
Can LLMs Really Help Query Understanding In Web Search? A Practical Perspective
Recall oriented search on the web using semantic annotations
Diffusion Augmentation for Sequential Recommendation
Correlated multi-label feature selection
Porting an expert database application to an active database: an experience report
Detecting Malicious Accounts in Online Developer Communities Using Deep Learning
Maximal termsets as a query structuring mechanism
A Uniform Approach to Global Concurrency Control and Recovery in Multidatabase Environment
Sequence Mining in Categorical Domains: Incorporating Constraints
Forecasting Seasonal Time Series Using Weighted Gradient RBF Network based Autoregressive Model
HAO Unity: A Graph-based System for Unifying Heterogeneous Data
Using CrowdLogger for in situ information retrieval system evaluation
Top-k subgraph matching query in a large graph
Extracting semantic annotations from twitter
Ontology evaluation using wikipedia categories for browsing
When Just One is Enough
Product Entity Matching via Tabular Data
Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction
Attribute-based Crowd Entity Resolution
Is top-k sufficient for ranking?
Improving End-to-End Sequential Recommendations with Intent-aware Diversification
OFedED: One-shot Federated Learning with Model Ensemble and Dataset Distillation
Rule-Based Query Optimization, Revisited
Joint relevance and answer quality learning for question routing in community QA
k NNBE: Incorporating Labeled Sentences in Bi-encoder Inference for Fast and Accurate Skill Mapping
Entity timelines: visual analytics and named entity evolution
CQArank: jointly model topics and expertise in community question answering
Provenance query evaluation: what's so special about it?
Secure and resilient proximity-based access control
Document Release versus Data Access Controls: Two Sides of the Same Coin?
Extracting N-ary Facts from Wikipedia Table Clusters
Clustering of Conversational Bandits for User Preference Learning and Elicitation
Fast parameterless density-based clustering via random projections
Combining Powers of Two Predictors in Optimizing Real-Time Bidding Strategy under Constrained Budget
Matching in Selective and Balanced Representation Space for Treatment Effects Estimation
Distribution Distance Minimization for Unsupervised User Identity Linkage
Sequential selection of correlated ads by POMDPs
FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update
Proceedings of the 20th ACM Conference on Information and Knowledge Management, CIKM 2011, Glasgow, United Kingdom, October 24-28, 2011
Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation
Bayesian latent variable models for collaborative item rating prediction
Learning Relative Similarity from Data Streams: Active Online Learning Approaches
Discovering Polarized Communities in Signed Networks
AIMLAI: Advances in Interpretable Machine Learning and Artificial Intelligence
Explaining Convolutional Neural Networks by Tagging Filters
Neural Personalized Topic Modeling for Mining User Preferences on Social Media
Sequential Text-based Knowledge Update with Self-Supervised Learning for Generative Language Models
Region-Growing Fully Convolutional Networks for Hyperspectral Image Classification with Point-Level Supervision
Neural Educational Recommendation Engine (NERE)
DocSemMap 2.0: Semantic Labeling based on Textual Data Documentations Using Seq2Seq Context Learner
Faceted models of blog feeds
Detecting Check-worthy Factual Claims in Presidential Debates
Pitfalls in Quantification Assessment
The Impact of Negative Relevance Judgments on NDCG
An Incremental Update Framework for Online Recommenders with Data-Driven Prior
Recommendation via user's personality and social contextual
Sub-Task Imputation via Self-Labelling to Train Image Moderation Models on Sparse Noisy Data
Large Scale Landmark Recognition via Deep Metric Learning
Measuring Uncertainty in Medical Image Diagnosis via Conformal Focal Loss
Proceedings of the ACM sixth international workshop on Data and text mining in biomedical informatics, DTMBIO@CIKM 2012, Maui, Hawaii, USA, October 29, 2012
Changes in reading research proposition: some psychological aspects of reading 2.0
Scalable Graph Representation Learning via Locality-Sensitive Hashing
Misinformation Concierge: A Proof-of-Concept with Curated Twitter Dataset on COVID-19 Vaccination
Exploring weakly supervised latent sentiment explanations for aspect-level review analysis
RealGraph GPU : A High-Performance GPU-Based Graph Engine toward Large-Scale Real-World Network Analysis
MultiCAD: Contrastive Representation Learning for Multi-modal 3D Computer-Aided Design Models
Neural Retrieval with Partially Shared Embedding Spaces
Public Transportation Mode Detection from Cellular Data
Semi-supervised Curriculum Ensemble Learning for Financial Precision Marketing
Survival analysis for freshness in microblogging search
The Skyline of Counterfactual Explanations for Machine Learning Decision Models
Why query annotations may help in providing accurate public health information
Evaluating window joins over punctuated streams
Visualization is a State of Mind
Convolution-Consistent Collective Matrix Completion
Crawler Detection in Location-Based Services Using Attributed Action Net
CHDAER: Consistent Hashing-based Data Allocation for Efficient Recommendation in Edge Environment
ORec: An Opinion-Based Point-of-Interest Recommendation Framework
Recommender Systems with Characterized Social Regularization
GPU-Accelerated Decoding of Integer Lists
Efficient mining of correlated sequential patterns based on null hypothesis
MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction
Information shared by many objects
Leveraging Large Language Models for Complementary Product Ads Recommendation
Hybrid Deep Pairwise Classification for Author Name Disambiguation
Proceedings of the 2010 ACM Workshop on Research Advances in Large Digital Book Repositories and Complementary Media, BooksOnline 2010, Toronto , ON, Canada - October 26, 2010
Towards Reliable GNNs: Adversarial Calibration Learning for Confidence Estimation
Green by Design: Detecting Environmental Claims in Corporate Web Content
FairCORELS, an Open-Source Library for Learning Fair Rule Lists
Towards optimum query segmentation: in doubt without
A SLA graph model for data services
Web search: from information retrieval to microeconomic modeling
Towards an engaging e-reading experience
CIKM 2018 Co-Located Workshops Summary
SQuAI: Scientific Question-Answering with Multi-Agent Retrieval-Augmented Generation
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31 - November 5, 2005
Multiple Queries as Bandit Arms
Where You Go Reveals Who You Know: Analyzing Social Ties from Millions of Footprints
Learn From Mistakes: Guidance on Zero-shot Conversational Text-to-SQL
Cost-Effective Framework with Optimized Task Decomposition and Batch Prompting for Medical Dialogue Summary
LLM-as-a-Judge in Entity Retrieval: Assessing Explicit and Implicit Relevance
Improvements that don't add up: ad-hoc retrieval results since 1998
SHB 2012: international workshop on smart health and wellbeing
NCR: A Scalable Network-Based Approach to Co-Ranking in Question-and-Answer Sites
Towards Rational Pesticide Design with Graph Machine Learning Models for Ecotoxicology
Networked user engagement
RSD: A Reinforced Siamese Network with Domain Knowledge for Early Diagnosis
Non-Exhaustive, Overlapping Co-Clustering
Automatic construction of domain and aspect specific sentiment lexicons for customer review mining
Bootstrap-based Causal Structure Learning
TATHYA: A Multi-Classifier System for Detecting Check-Worthy Statements in Political Debates
Semantic Topology
Topic Detection from Large Scale of Microblog Stream with High Utility Pattern Clustering
PyTFL: A Python-based Neural Team Formation Toolkit
Clustering multi-way data via adaptive subspace iteration
Concept-based analysis of scientific literature
Counterfactual Review-based Recommendation
The effect of aggregated search coherence on search behavior
Automated interaction in social networks with datalog
Moving Region Representations on the Spread of a Forest Fire
Empowering LLMs for Multi-Page Layout Generation via Consistency-Oriented In-Context Learning
Construction and maintenance of clinical pathways using data mining methods
A Model of Object Database Applications and its Use in Cost Estimation
Nonlinear Causal Discovery in Time Series
Natural Language Question/Answering: Let Users Talk With The Knowledge Graph
Global Nested Transaction Management for ODMG-Compliant Multi-Database Systems
Modeling Sequential Online Interactive Behaviors with Temporal Point Process
CoDet: sentence-based containment detection in news corpora
ArXivDigest: A Living Lab for Personalized Scientific Literature Recommendation
Knowledge discovery from texts: a concept frame graph approach