yusuke1997/dblp-id-title huggingface dataset:
Discovering coherent topics using general knowledge
SeiSMo: Semi-supervised Time Series Motif Discovery for Seismic Signal Detection
PairFac: Event Analytics through Discriminant Tensor Factorization
Click the search button and be happy: evaluating direct and immediate information access
Unsupervised transactional query classification based on webpage form understanding
STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions
Can social annotation support users in evaluating the trustworthiness of video clips?
From Skimming to Reading: A Two-stage Examination Model for Web Search
Learning Cross-modal Knowledge Reasoning and Heuristic-prompt for Visual-language Navigation
Exploiting A Controlled Vocabulary to Improve Collection Selection and Retrieval Effectiveness
Scaling Trust: Veracity-Driven Defect Detection in Entity Search
On Discovering the Number of Document Topics via Conceptual Latent Space
The Structure of Cross-National Collaboration in Open-Source Software Development
Predicting accuracy of extracting information from unstructured text collections
Scarce Feature Topic Mining for Video Recommendation
Selective Mixup for Debiasing Question Selection in Computerized Adaptive Testing
Ultra Fast Warm Start Solution for Graph Recommendations
Detecting controversy on the web
Rebalancing Social Feed to Minimize Polarization and Disagreement
Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events
Incremental and Interactive Sequence Mining
MEMSCALE: in-cluster-memory databases
Overview of the 4th HistoInformatics Workshop
Tight-Sketch: A High-Performance Sketch for Heavy Item-Oriented Data Stream Mining with Limited Memory Size
Sparse Shield: Social Network Immunization vs. Harmful Speech
H2D: Hierarchical Heterogeneous Graph Learning Framework for Drug-Drug Interaction Prediction
Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction
Understanding Multi-channel Customer Behavior in Retail
HuggingGraph: Understanding the Supply Chain of LLM Ecosystem
Sketch-based indexing of n-words
What is Next when Sequential Prediction Meets Implicitly Hard Interaction?
TerraFly GeoCloud: online spatial data analysis system
Facilitating Interactive Mining of Global and Local Association Rules
Categorising logical differences between OWL ontologies
RESQ: rank-energy selective query forwarding for distributed search systems
Query Abandonment Prediction with Recurrent Neural Models of Mouse Cursor Movements
Noise-Contrastive Estimation for Answer Selection with Deep Neural Networks
Improving Personalized Trip Recommendation by Avoiding Crowds
NQuAD: 70, 000+ Questions for Machine Comprehension of the Numerals in Text
DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder
Within-Network Classification Using Radius-Constrained Neighborhood Patterns
Expansion and search in networks
Structural extraction from visual layout of documents
Towards Self-supervised Learning on Graphs with Heterophily
ASEM: Mining Aspects and Sentiment of Events from Microblog
Measuring search engine quality in image queries in 10 non-English languages: an exploratory study
Multi-level Contrastive Learning Framework for Sequential Recommendation
A Cohesive Structure Based Bipartite Graph Analytics System
Rethinking Lipschitzness Data-free Backdoor Defense
Regularizing Matrix Factorization with User and Item Embeddings for Recommendation
Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial
Using Wikipedia categories for compact representations of chemical documents
Smart ECU: Scalable On-Vehicle Deployment of Drivetrain Fault Classification Systems for Commercial Electric Vehicles
Active Sampling for Large-scale Information Retrieval Evaluation
Fast dimension reduction for document classification based on imprecise spectrum analysis
Diversifying query results on semi-structured data
Detecting anomalies in graphs with numeric labels
GeoReasoner: Reasoning On Geospatially Grounded Context For Natural Language Understanding
A semantic annotation framework for retrieving and analyzing observational datasets
Accurate Sentence Matching with Hybrid Siamese Networks
Automatic metadata generation for scanned scientific volumes
SQR: a semantic query rating scheme
HotSpots: Failure Cascades on Heterogeneous Critical Infrastructure Networks
Retrievability based Document Selection for Relevance Feedback with Automatically Generated Query Variants
Exploiting entities in social media
Linking News across Multiple Streams for Timeliness Analysis
Tag-based filtering for personalized bookmark recommendations
Scalable clustering of signed networks using balance normalized cut
Efficient model selection for regularized linear discriminant analysis
VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels
VSEncoding: efficient coding and fast decoding of integer lists via dynamic programming
Meta-metadata: a metadata semantics language for collection representation applications
Efficient Hidden Trajectory Reconstruction from Sparse Data
The metadata challenge: promoting discovery, access, and usability for online books
Flow-based Perturbation for Cause-effect Inference
Towards feature selection in network
Fairness-Aware Unsupervised Feature Selection
Incorporating the surfing behavior of web users into pagerank
Potential collaboration discovery using document clustering and community structure detection
ACM DAVA'16: 2nd International Workshop on DAta mining meets Visual Analytics at Big Data Era
Cluster-level Emotion Pattern Matching for Cross-Domain Social Emotion Classification
Proceedings of the Workshop on Databases - Active and Real-Time, DART 1996, Rockville, Maryland, USA
Efficient influence-based processing of market research queries
Attention-Residual Network with CNN for Rumor Detection
Discovering the Impact of Notifications on Social Network Addiction
Unsupervised discovery of opposing opinion networks from forum discussions
AI-Augmented Art Psychotherapy through a Hierarchical Co-Attention Mechanism
Deception Detection: When Computers Become Better than Humans
The 1st International Workshop on Federated Learning with Graph Data (FedGraph)
DialogID: A Dialogic Instruction Dataset for Improving Teaching Effectiveness in Online Environments
GCondenser: Benchmarking Graph Condensation
Selecting Top-k Data Science Models by Example Dataset
Coreference aware web object retrieval
Buffalo: Biomedical Vision-Language Understanding with Cross-Modal Prototype and Federated Foundation Model Collaboration
Concept Hierarchy Extraction from Legal Literature
Learning Node Embeddings in Interaction Graphs
A Fine-grained and Noise-aware Method for Neural Relation Extraction
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System
Finding Periodic Discrete Events in Noisy Streams
Grammar-based task analysis of web logs
Effective Illicit Account Detection on Large Cryptocurrency MultiGraphs
Diving into a Sea of Opinions: Multi-modal Abstractive Summarization with Comment Sensitivity
Indexing field values in field oriented systems: interval Quadtree
Decoder-only Pre-training Enhancement for Spatio-temporal Traffic Forecasting
Hyperbolic Hypergraphs for Sequential Recommendation
Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling
Adaptive query processing in data stream management systems under limited memory resources
Will Sorafenib Help?: Treatment-aware Reranking in Precision Medicine Search
Data Mining of Multi-dimensional Remotely Sensed Images
THECOG - Transforms In Behavioral And Affective Computing
Mining social tags to predict mashup patterns
Learning to Rank System Configurations
Generative Data Augmentation in Graph Contrastive Learning for Recommendation
Sentiment classification via l2-norm deep belief network
Efficient Algorithms for the Two Locus Problem in Genome-Wide Association Study: Algorithms for the Two Locus Problem
Understanding Mathematical Expressions: An Eye-Tracking Study
On domain similarity and effectiveness of adapting-to-rank
Weighted linear kernel with tree transformed features for malware detection
A diversity measure leveraging domain specific auxiliary information
Effective Neural Team Formation via Negative Samples
A correlation-based model for unsupervised feature selection
Where do the query terms come from?: an analysis of query reformulation in collaborative web search
Towards Better Utilization of Multiple Views for Bundle Recommendation
Book search: indexing the valuable parts
Domain-dependent/independent topic switching model for online reviews with numerical ratings
Semantic Annotation with RescoredESA: Rescoring Concept Features Generated From Explicit Semantic Analysis
A Cause-Focused Query Optimizer Alert System
Latency Reduction via Decision Tree Based Query Construction
AutoDW-TS: Automated Data Wrangling for Time-Series Data
Hierarchical Semantics Matching For Heterogeneous Spatio-temporal Sources
Improving Prompt-based News Recommendation with Individual Template and Customized Answer
IEEE13-AdvAttack A Novel Dataset for Benchmarking the Power of Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grid
Adaptive Graph Spatial-Temporal Transformer Network for Traffic Forecasting
Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training
Locker: Locally Constrained Self-Attentive Sequential Recommendation
Mitigating Extreme Cold Start in Graph-based RecSys through Re-ranking
Unified Robustness via Spurious-Invariant Features and On-Manifold Adversaries
Tracking Top-k Influential Users with Relative Errors
Learning to rank with cross entropy
Cross-domain Aspect/Sentiment-aware Abstractive Review Summarization
RCES: Rapid Cues Exploratory Search Using Taxonomies For COVID-19
(Not) yet another matcher
Hybrid 2 : Distributed GNN Training System Enhanced by Dual-Hybrid for Sampling and Loading
A Content-Driven Micro-Video Recommendation Dataset at Scale
REFORM: Error-Aware Few-Shot Knowledge Graph Completion
A Dataset of Journalists' Interactions with Their Readership: When Should Article Authors Reply to Reader Comments?
Point-Based Weakly Supervised Deep Learning for Water Extraction from High-Resolution Remote Sensing Imagery
DOLAP 2011: overview of the 14th international workshop on data warehousing and olap
Multidimensional News Quality: A Comparison of Crowdsourcing and Nichesourcing
Benchmarking OLTP/web databases in the cloud: the OLTP-bench framework
QARM: Quantitative Alignment Multi-Modal Recommendation at Kuaishou
An RDF Data Management System for Conflict Casualties
Parallel Execution of Integrity Constraint Checks
Relating dependent indexes using dempster-shafer theory
Dynamic Graph Learning via Historical Information Perception and Multi-Granular Temporal Curriculum Learning
A Principled Decomposition of Pointwise Mutual Information for Intention Template Discovery
Real-Time Transactions with Execution Histories: Priority Assignment and Load Control
Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information
Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings
SmartVenues: Recommending Popular and Personalised Venues in a City
Reuters Tracer: A Large Scale System of Detecting & Verifying Real-Time News Events from Twitter
Toward generic, immersive, and collaborative solutions to the data interoperability problem which target end-users
A Dual Channel Intent Evolution Network for Predicting Period-Aware Travel Intentions at Fliggy
Datalog Reasoning over Compressed RDF Knowledge Bases
Finding the topical anchors of a context using lexical cooccurrence data
Incomplete Multi-view Clustering via Subspace Learning
Rectifying Pseudo Labels: Iterative Feature Clustering for Graph Representation Learning
Visualization and analysis of large graphs
AI Agent for Information Retrieval: Generating and Ranking
Interactive Social Recommendation
CrisICSum: Interpretable Classification and Summarization Platform for Crisis Events from Microblogs
CHEM: Causally and Hierarchically Explaining Molecules
Feedback Loop and Bias Amplification in Recommender Systems
Ordinal Embedding for Collaborative Filtering: A Unified Regularization for Enhanced Generalization and Interpretability
Detection of orthogonal concepts in subspaces of high dimensional data
Examining the "leftness" property of Wikipedia categories
Multivariate and Propagation Graph Attention Network for Spatial-Temporal Prediction with Outdoor Cellular Traffic
Trada: tree based ranking function adaptation
Discerning Edge Influence for Network Embedding
MATCC: A Novel Approach for Robust Stock Price Prediction Incorporating Market Trends and Cross-time Correlations
Cross-lingual query classification: a preliminary study
Multi-scale Trajectory Clustering to Identify Corridors in Mobile Networks
IoT Data Quality
Joint learning on sentiment and emotion classification
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification
Build Faster with Less: A Journey to Accelerate Sparse Model Building for Semantic Matching in Product Search
Elusive vandalism detection in wikipedia: a text stability-based approach
The wisdom of advertisers: mining subgoals via query clustering
Entity Linking for Biomedical Literature
Urban Region Profiling via Multi-Graph Representation Learning
Clickthrough-based translation models for web search: from word models to phrase models
Learning to Geolocalise Tweets at a Fine-Grained Level
Assessor error in stratified evaluation
Addressing the lack of direct translation resources for cross-language retrieval
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
DifRec: A Social-Diffusion-Aware Recommender System
Mulco: Recognizing Chinese Nested Named Entities through Multiple Scopes
Generalizing Query Performance Prediction under Retriever and Concept Shifts via Data-driven Correction
Statistical Inference of Unknown Attribute Values in Databases
Interpreting Spread Sheet Data for Human-Agent Interactions
Two-Level Graph Path Reasoning for Conversational Recommendation with User Realistic Preference
Ensemble Pruning via Graph Neural Networks
Search Result Diversification via Filling Up Multiple Knapsacks
A Semantics Approach for KQML - A General Purpose Communication Language for Software Agents
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer
Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction
Type Prediction Combining Linked Open Data and Social Media
SGCL: Contrastive Representation Learning for Signed Graphs
Inspect What Your Location History Reveals About You: Raising user awareness on privacy threats associated with disclosing his location data
Analyzing Subject-Method Network of Bioinformatics and Biology
User Response Learning for Directly Optimizing Campaign Performance in Display Advertising
A Context-Enhanced Transformer with Abbr-Recover Policy for Chinese Abbreviation Prediction
Role of weak ties in link prediction of complex networks
Reverted indexing for feedback and expansion
Calibrate Automated Graph Neural Network via Hyperparameter Uncertainty
Two-way Recommendation Methods for Social Networks
Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models
Computational frameworks for semantic analysis and wikification: keynote abstract
Probabilistic moving range query over RFID spatio-temporal data streams
Codex Redux: books and new knowledge environments
Central Topic Model for Event-oriented Topics Mining in Microblog Stream
Multi-modal Dictionary BERT for Cross-modal Video Search in Baidu Advertising
A large-scale gene network inference system for systems biology on supercomputing resources
People search using NDC classification system
Cost-constrained Minimal Steiner Tree Enumeration
FactSet Concordance: Entity Data Management
ST-PIL: Spatial-Temporal Periodic Interest Learning for Next Point-of-Interest Recommendation
Collecting and Analyzing Public Data from Mastodon
Learning to generate summary as structured output
Multi-Label Feature Selection using Correlation Information
COOLCAT: an entropy-based algorithm for categorical clustering
HySAGE: A Hybrid Static and Adaptive Graph Embedding Network for Context-Drifting Recommendations
RefMed: relevance feedback retrieval system fo PubMed
Dual-view Contrastive Learning for Auction Recommendation
Answering Questions with Complex Semantic Constraints on Open Knowledge Bases
PraDa: Privacy-preserving Data-Deduplication-as-a-Service
DFLStar: A Decentralized Federated Learning Framework with Self-Knowledge Distillation and Participant Selection
Guided Text-based Item Exploration
Cluster-Explorer: An interactive Framework for Explaining Black-Box Clustering Results
A proposal for chemical information retrieval evaluation
EI-KGC: A Knowledge Graph Completion Model Based on Fine-Grained Element Interactions
Modeling Edge-Specific Node Features through Co-Representation Neural Hypergraph Diffusion
Beyond Pairwise Learning-To-Rank At Airbnb
Improving Dynamic Index Pruning via Linear Programming
An In-depth Interactive and Visualized Platform for Evaluating and Analyzing MRC Models
Vector-Quantized Autoencoder With Copula for Collaborative Filtering
Group-by skyline query processing in relational engines
Anomalies in the Peer-review System: A Case Study of the Journal of High Energy Physics
Dually Enhanced Propensity Score Estimation in Sequential Recommendation
Storing Multi-model Data in RDBMSs based on Reinforcement Learning
Alternating Pointwise-Pairwise Learning for Personalized Item Ranking
Learning from Graph: Mitigating Label Noise on Graph through Topological Feature Reconstruction
A risk minimization framework for domain adaptation
Evaluating Human-AI Hybrid Conversational Systems with Chatbot Message Suggestions
Entity-based query reformulation using wikipedia
Image Captioning with Internal and External Knowledge
An Efficient Selective Ensemble Learning with Rejection Approach for Classification
Learning to target: what works for behavioral targeting
Hierarchical Reinforcement Learning using Gaussian Random Trajectory Generation in Autonomous Furniture Assembly
Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting
Fast evaluation of iceberg pattern-based aggregate queries
MetaRule: A Meta-path Guided Ensemble Rule Set Learning for Explainable Fraud Detection
Assessing Image Inpainting via Re-Inpainting Self-Consistency Evaluation
Global and Local Feature Interaction with Vision Transformer for Few-shot Image Classification
Practical Lessons Learned From Detecting, Preventing and Mitigating Harmful Experiences on Facebook
DeepAries: Adaptive Rebalancing Interval Selection for Enhanced Portfolio Selection
Real-time aggregate monitoring with differential privacy
Geometry Interaction Augmented Graph Collaborative Filtering
Probabilistic Non-negative Inconsistent-resolution Matrices Factorization
ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding
Flexible IR Pipelines with Capreolus
Link analysis using time series of web graphs
Discovering Temporal Purchase Patterns with Different Responses to Promotions
Counterfactual Explainable Recommendation
Clustering-based transduction for learning a ranking model with limited human labels
Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network
Real-time bid optimization for group-buying ads
Adversarial Text Rewriting for Text-aware Recommender Systems
Text Classification in a Hierarchical Mixture Model for Small Training Sets
Providing grades and feedback for student summaries by ontology-based information extraction
Towards Large Generative Recommendation: A Tokenization Perspective
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
Bad Actors in Social Media
Multiple Pairwise Ranking with Implicit Feedback
Attacking Recommender Systems with Augmented User Profiles
Understanding GNNs for Boolean Satisfiability through Approximation Algorithms
DinoCompanion: An Attachment-Theory Informed Multimodal Robot for Emotionally Responsive Child-AI Interaction
Noisy Perturbations for Estimating Query Difficulty in Dense Retrievers
Computational geography
Search by strategy
Optimizing data migration for cloud-based key-value stores
Data aspects in a relational database
Mining named entity transliteration equivalents from comparable corpora
A Fast k-Nearest Neighbor Search Using Query-Specific Signature Selection
An integration strategy for mining product features and opinions
Distributed spatio-temporal similarity search
Algebraic Query Languages on Temporal Databases with Multiple Time Granularities
Videolytics: System for Data Analytics of Video Streams
HoloScope: Topology-and-Spike Aware Fraud Detection
Answering XML queries using materialized views revisited
Hierarchical RNN with Static Sentence-Level Attention for Text-Based Speaker Change Detection
User intent and assessor disagreement in web search evaluation
CIKM 1995 Intelligent Information Agents Workshop, Omni Inner Harbor Hotel, Baltimore, MD, USA, December 1-2, 1995
Temporal Blocks with Memory Replay for Dynamic Graph Representation Learning
The water filling model and the cube test: multi-dimensional evaluation for professional search
High efficiency and quality: large graphs matching
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis
Inclusion Dependencies Reloaded
Semantic Annotations in Clinical Guidelines
M 2 ConceptBase: A Fine-Grained Aligned Concept-Centric Multimodal Knowledge Base
Semantic Prototypes: Enhancing Transparency without Black Boxes
Course specific search engines: a study in incorporating context into search
Reconsidering the Performance of GAE in Link Prediction
Question Answering in TREC
Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic
OASIS: Harnessing Diffusion Adversarial Network for Ocean Salinity Imputation using Sparse Drifter Trajectories
DFFM: Domain Facilitated Feature Modeling for CTR Prediction
An LLM-based Behavior Modeling Framework for Malicious User Detection
Constructing CP-Nets from Users Past Behaviors
Rank-energy selective query forwarding for distributed search systems
DeepTagger: Knowledge Enhanced Named Entity Recognition for Web-Based Ads Queries
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021
Continuously monitoring the correlations of massive discrete streams
Deep Graph Convolutional Networks for Incident-Driven Traffic Speed Prediction
A generic front-stage for semi-stream processing
Representation Learning via Variational Bayesian Networks
AIBox: CTR Prediction Model Training on a Single Node
RARE : A Recurrent Attentive Recommendation Engine for News Aggregators
Proceedings of the 1st International CIKM Workshop on Topic-Sentiment Analysis for Mass Opinion, TSA '09, Hong Kong, SAR, China, November 6, 2009
An efficient clustering algorithm for large-scale topical web pages
Statistical Claim Checking: StatCheck in Action
Model-Agonistic Iterative Graph Diversification for Improving Learning to Solve Graph Optimization Problems
Type nanotheories: a framework for term comparison
RABERT: Relation-Aware BERT for Target-Oriented Opinion Words Extraction
BRep-BERT: Pre-training Boundary Representation BERT with Sub-graph Node Contrastive Learning
ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method
EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications
e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning
Student-Augmented Self-Training with Closed Loop Feedback in Linguistic Steganalysis
αCyber : Enhancing Robustness of Android Malware Detection System against Adversarial Attacks on Heterogeneous Graph based Model