yusuke1997/dblp-id-title huggingface dataset:
Fine-Grained Emotion Recognition via In-Context Learning
Cross-document cross-lingual coreference retrieval
Social-Aware VR Configuration Recommendation via Multi-Feedback Coupled Tensor Factorization
Graph-based Management and Mining of Blockchain Data
Indexing uncertain spatio-temporal data
Block Access Pattern Discovery via Compressed Full Tensor Transformer
Extracting adjective facets from community Q&A corpus
Dynamic Skew Handling in Parallel Mining of Association Rules
Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction
DiVE: Diversifying View Recommendation for Visual Data Exploration
Accurate Path Prediction of Provenance Traces
MUFin'21: First International Workshop on Modelling Uncertainty in the Financial World
pyPANTERA: A Python PAckage for Natural language obfuscaTion Enforcing pRivacy & Anonymization
Query-Variant Advertisement Text Generation with Association Knowledge
MGICL: Multi-Grained Interaction Contrastive Learning for Multimodal Named Entity Recognition
Improving Anchor-based Explanations
Sexual Harassment Story Classification and Key Information Identification
Efficient Global Probabilistic Deduction from Taxonomic and Probabilistic Knowledge-Bases over Conjunctive Events
EFfECT-RL: Enabling Framework for Establishing Causality and Triggering engagement through RL
Structure-based inference of xml similarity for fuzzy duplicate detection
When big data leads to lost data
Semorph: A Morphology Semantic Enhanced Pre-trained Model for Chinese Spam Text Detection
CoPatE: A Novel Contrastive Learning Framework for Patent Embeddings
MUFFIN: Mixture of User-Adaptive Frequency Filtering for Sequential Recommendation
Proceedings of the 2015 Workshop on Large-Scale and Distributed System for Information Retrieval, LSDS-IR 2015, Melbourne, Australia, October 23, 2015
StepTool: Enhancing Multi-Step Tool Usage in LLMs via Step-Grained Reinforcement Learning
DTMBIO 2013: international workshop on data and text mining in biomedical informatics
Predicting CTR of new ads via click prediction
CALLM: A Framework for Systematic Contrastive Analysis of Large Language Models
A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge
BePT: A Behavior-based Process Translator for Interpreting and Understanding Process Models
Structured Document Handling - A Case For Integrating Databases and Information Retrieval
Ranking social bookmarks using topic models
AMinerGNN: Heterogeneous Graph Neural Network for Paper Click-through Rate Prediction with Fusion Query
Learning Traffic Signal Control from Demonstrations
Model-Based Oversampling for Imbalanced Sequence Classification
Privacy of Hidden Profiles: Utility-Preserving Profile Removal in Online Forums
AuGEAS: authoritativeness grading, estimation, and sorting
A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification
READFAST: high-relevance search-engine for big text
Classification-based resource selection
Boosting support vector machines for text classification through parameter-free threshold relaxation
Cost-effective spam detection in p2p file-sharing systems
Learning to summarise XML documents using content and structure
Aligning Query Representation with Rewritten Query and Relevance Judgments in Conversational Search
Answer typing for information retrieval
A characteristic based information evaluation model
Search using semantic framenet frames as variables
Compensating Information and Capturing Modal Preferences in Multimodal Recommendation: A Dual-Path Representation Learning Framework
W2E: A Worldwide-Event Benchmark Dataset for Topic Detection and Tracking
Feasibility of a primarily digital research library
RAP: Scalable RPCA for Low-rank Matrix Recovery
DuMapper: Towards Automatic Verification of Large-Scale POIs with Street Views at Baidu Maps
Off the Beaten Path: Let's Replace Term-Based Retrieval with k-NN Search
Infomaster: A Virtual Information System
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs
Semi-indexing semi-structured data in tiny space
Selective data acquisition for probabilistic K-NN query
PODTILE: Facilitating Podcast Episode Browsing with Auto-generated Chapters
Overlapping community structure detection in networks
Model-driven Hypermedia Access to Weather Information
Visual Encoding and Debiasing for CTR Prediction
On using category experts for improving the performance and accuracy in recommender systems
In2Rec: Influence-based Interpretable Recommendation
Improving taxonomies for large-scale hierarchical classifiers of web documents
Dr. Searcher and Mr. Browser: a unified hyperlink-click graph
Contrastive Pre-Training of GNNs on Heterogeneous Graphs
Dissemination of heterogeneous XML data in publish/subscibe systems
HUX: a schemacentric approach for updating XML views
BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network
Fast K-means for Large Scale Clustering
Proceedings of the 2nd International Workshop on Managing Interoperability and compleXity in Health Systems, MIX-HS, Maui, HI, USA, October 29, 2012
A Comparative Analysis of Linguistic and Retrieval Diversity in LLM-Generated Search Queries
On optimising personal network size to manage information flow
Relevance Score Normalization for Metasearch
Do Recommender Systems Really Leverage Multimodal Content? A Comprehensive Analysis on Multimodal Representations for Recommendation
Document-topic hierarchies from document graphs
Neighborhood Homophily-based Graph Convolutional Network
Twevent: segment-based event detection from tweets
Searching web databases by structuring keyword-based queries
Eigen-trend: trend analysis in the blogosphere based on singular value decompositions
Practical lessons of data mining at Yahoo!
Smooth q-Gram, and Its Applications to Detection of Overlaps among Long, Error-Prone Sequencing Reads
Feature Extraction for Large-Scale Text Collections
CH-Mits: A Cross-Modal Dataset for User Sentiment Analysis on Chinese Social Media
Rotate3D: Representing Relations as Rotations in Three-Dimensional Space for Knowledge Graph Embedding
PowerWalk: Scalable Personalized PageRank via Random Walks with Vertex-Centric Decomposition
Towards an error-free Arabic stemming
Community Identification in Signed Networks: A K-Truss Based Model
Differences in effectiveness across sub-collections
Information graph model and application to online advertising
P-Companion: A Principled Framework for Diversified Complementary Product Recommendation
STEP: Stepwise Curriculum Learning for Context-Knowledge Fusion in Conversational Recommendation
Strong Forgetting for ALCQ-Ontologies
Language-model-based ranking for queries on RDF-graphs
Explaining Learning to Rank Methods to Improve Them
CPEE: Civil Case Judgment Prediction centering on the Trial Mode of Essential Elements
Distributed Constraint Management for Collaborative Engineering Databases
A Semi-Supervised Anomaly Network Traffic Detection Framework via Multimodal Traffic Information Fusion
GraphFC: Customs Fraud Detection with Label Scarcity
SummIt: A Tool for Extractive Summarization, Discovery and Analysis
Ranking under temporal constraints
PubMed Author-assigned Keyword Extraction (PubMedAKE) Benchmark
Generating Optimized Molecules without Patent Infringement
Incorporating Constituent Syntax into Grammatical Error Correction with Multi-Task Learning
Structuring Video Semantics with Temporal Triplets for Zero-Shot Video Question Answering
Accurate Embedding-based Log Determinant Optimization
Modeling Retail Transaction Data for Personalized Shopping Recommendation
TFMAdapter: Lightweight Instance-Level Adaptation of Foundation Models for Forecasting with Covariates
Comparing the effectiveness of hits and salsa
Efficient methods for finding influential locations with adaptive grids
MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction
Jointly Modeling Individual Student Behaviors and Social Influence for Prediction Tasks
User activity profiling with multi-layer analysis
AnchorWoman: top-k structured mobile web search engine
Continual Learning in Predictive Autoscaling
Query workload-aware overlay construction using histograms
FinD 3 : A Dual 3D State Space Model with Dynamic Hypergraph for Financial Stock Prediction
Computing explanations for unlively queries in databases
ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics
Multi-Resolution Indexing for Shape Images
Facilitating the Creation of a Multiple Index on Graph-Described Documents by Transforming Their Descriptions
Spectral Graph Attention Network with Fast Eigen-approximation
Human-Centric Analytics and Systems Impacting Quality of Life: ECG Analytics and Beyond
Analogical Reasoning for Knowledge Discovery in a Molecular Biology Database
A web service for long tail book publishing
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction
SimMeme: Semantic-Based Meme Search
Fast correlation analysis on time series datasets
Understanding the Embedding Models on Hyper-relational Knowledge Graph
Predicting Quality of Automated Welding with Machine Learning and Semantics: A Bosch Case Study
Map to humans and reduce error: crowdsourcing for deduplication applied to digital libraries
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning
Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting
On sparsity and drift for effective real-time filtering in microblogs
tdGraphEmbed: Temporal Dynamic Graph-Level Embedding
Covariate Ordered Systematic Sampling as an Improvement to Randomized Controlled Trials
Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model
Fooling MOSS Detection with Pretrained Language Models
Proceedings of the First International Workshop on Novel Web Search Interfaces and Systems, NWSearch 2015, Melbourne, Australia, October 23, 2015
Discovering personally semantic places from GPS trajectories
TUT: a statistical model for detecting trends, topics and user interests in social media
Low Carbon Footprint Training for 1D-CNNs with Temporal Max-Pooling
Characterizing the Public Perception of WhatsApp through the Lens of Media
VTeller: Telling the Values Somewhere, Sometime in a Dynamic Network of Urban Systems
VIER: Visual Imagination Enhanced Retrieval in Sponsored Search
Browsing Large Digital Library Collections Using Classification Hierarchies
SaLSa: computing the skyline without scanning the whole sky
Structured Knowledge: Have we made progress? An extrinsic study of KB coverage over 19 years
Index tuning for query-log based on-line index maintenance
SaDes: An Interactive System for Sensitivity-aware Desensitization towards Tabular Data
Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning
Learning-to-Spell: Weak Supervision based Query Correction in E-Commerce Search with Small Strong Labels
Sampling from Databases Using B+-Trees
An Adaptive View Element Framework for Multi-Dimensional Data Management
Generating Rule Suggestions in PBE Data Transformations
MAGIK: managing completeness of data
Boolean satisfiability for sequence mining
Multiple keyword-based queries over XML streams
CORD: A Three-Stage Coarse-to-Fine Framework for Relation Detection in Knowledge Base Question Answering
CDCEO'21 - First Workshop on Complex Data Challenges in Earth Observation
G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems
TCCM: Time and Content-Aware Causal Model for Unbiased News Recommendation
Fault-tolerant semantic mappings among heterogeneous and distributed local ontologies
Managing highly correlated semi-structured data: architectural aspects of a digital archive
Access control for XML: a dynamic query rewriting approach
DTMBIO 2014: International Workshop on Data and Text Mining in Biomedical Informatics
How Fair is FAIR? Understanding LOD Cloud FAIRness Through Correlation Patterns
Open Benchmarking for Click-Through Rate Prediction
GraphWeaver: Billion-Scale Cybersecurity Incident Correlation
Neural (Knowledge Graph) Question Answering Using Synthetic Training Data
MM-evocat: A Tool for Modelling and Evolution Management of Multi-Model Data
Seasonal Relevance in E-Commerce Search
Community-Aware Social Community Recommendation
Rotation invariant indexing of shapes and line drawings
The Role of Unattributed Behavior Logs in Predictive User Segmentation
A Child-Friendly Approach to Spoken Conversational Search
Semantic querying of tree-structured data sources using partially specified tree patterns
A Formal Model for Emulating the Generation of Human Knowledge in Semantic Memory
How to carry over historic books into social networks
Content-based crowd retrieval on the real-time web
FastSimiFeat: A Fast and Generalized Approach Utilizing k -NN for Noisy Data Handling
Detecting distance-based outliers in streams of data
ST-MoE: Spatio-Temporal Mixture-of-Experts for Debiasing in Traffic Prediction
New Tight Relaxations of Rank Minimization for Multi-Task Learning
Relational feature engineering of natural language processing
Linear inclusion for XML regular expression types
Computing term similarity by large probabilistic isA knowledge
#suicidal - A Multipronged Approach to Identify and Explore Suicidal Ideation in Twitter
A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage
Discovering conditional inclusion dependencies
Efficient phrase querying with flat position index
Can Knowledge Graphs Simplify Text?
SIMD-based decoding of posting lists
odeN: Simultaneous Approximation of Multiple Motif Counts in Large Temporal Networks
Nowcast-to-Forecast: Token-Based Multiple Remote Sensing Data Fusion for Precipitation Forecast
DetCat: Detecting Categorical Outliers in Relational Datasets
Correlated Time Series Forecasting using Multi-Task Deep Neural Networks
Summarization evaluation using relative utility
Modality Alignment with Multi-scale Bilateral Attention for Multimodal Recommendation
Recipe Popularity Prediction with Deep Visual-Semantic Fusion
Neural Bayesian Information Processing
Handling Uncertainties in Workflow Applications
Estimating Time Models for News Article Excerpts
FedGVD: Efficient Federated Graph Learning via Unidirectional Distillation with Dynamic Virtual Nodes
Hike: A Hybrid Human-Machine Method for Entity Alignment in Large-Scale Knowledge Bases
Analyzing the Effectiveness and Applicability of Co-training
Aspects and analysis of patent test collections
How Hybrid Work Will Make Work More Intelligent
Range Search on Uncertain Trajectories
Scalable association-based text classification
Probabilistic Model Incorporating Auxiliary Covariates to Control FDR
Towards Energy-Efficient Llama2 Architecture on Embedded FPGAs
A language model approach to capture commercial intent and information relevance for sponsored search
Caption, Create, Continue: Continual Learning with Pre-trained Generative Vision-Language Models
EmoPerso: Enhancing Personality Detection with Self-Supervised Emotion-Aware Modelling
POSPAN: Position-Constrained Span Masking for Language Model Pre-training
A Way to Compare Objects
Source Retrieval for Web-Scale Text Reuse Detection
Discovering relations using matrix factorization methods
Spatial Verification for Scalable Mobile Image Retrieval
Comparing SQL and MapReduce to compute Naive Bayes in a single table scan
LDKP - A Dataset for Identifying Keyphrases from Long Scientific Documents
Learning Implicit User Profile for Personalized Retrieval-Based Chatbot
Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval
Malicious Repositories Detection with Adversarial Heterogeneous Graph Contrastive Learning
Towards efficient search on unstructured data: an intelligent-storage approach
A Large Scale Prediction Engine for App Install Clicks and Conversions
Semantic queries in databases: problems and challenges
ANS-Based Index Compression
pADR: Towards Personalized Adverse Drug Reaction Prediction by Modeling Multi-sourced Data
DP-FedFace: Privacy-Preserving Facial Recognition in Real Federated Scenarios
E-ETL: framework for managing evolving etl processes
Time-series Shapelets with Learnable Lengths
Neural Relational Topic Models for Scientific Article Analysis
SKG4J 2020: 1st International Workshop on Semantic and Knowledge Graph Advances for Journalism
On low dimensional random projections and similarity search
Exploiting syntactic structure of queries in a language modeling approach to IR
On wavelet decomposition of uncertain time series data sets
Precision Locking Algorithm for Nested Transactions Systems
Proceedings of the Fifth workshop on Exploiting Semantic Annotations in Information Retrieval, ESAIR 2012, Maui, HI, USA, October 28, 2012
Statistical information retrieval modelling: from the probability ranking principle to recent advances in diversity, portfolio theory, and beyond
Lattice-based tagging using support vector machines
Mixture-of-KAN for Multivariate Time Series Forecasting
Handling Temporal Grouping and Pattern-Matching Queries in a Temporal Object Model
Selecting expansion terms as a set via integer linear programming
Template-guided Clarifying Question Generation for Web Search Clarification
Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions
Behavior-driven Student Performance Prediction with Tri-branch Convolutional Neural Network
Leveraging Semantic Information to Facilitate the Discovery of Underserved Podcasts
Target-Oriented Maneuver Decision for Autonomous Vehicle: A Rule-Aided Reinforcement Learning Framework
Interest mining from user tweets
Genetic Algorithms for Modelling, Design, and Process Control
DistilSum: : Distilling the Knowledge for Extractive Summarization
Reevaluating the Change Point Detection Problem with Segment-based Bayesian Online Detection
Deep Dynamic Fusion Network for Traffic Accident Forecasting
Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization
Learning to rank relevant and novel documents through user feedback
LLM-OFA: On-the-Fly Adaptation of Large Language Models to Address Temporal Drift Across Two Decades of News
SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval
Learning Entity Types from Query Logs via Graph-Based Modeling
Eliminating Sentiment Bias in Recommender Systems by Counterfactual Inference
FusionDB: conflict management system for small-science databases
Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement
NeighSqueeze: Compact Neighborhood Grouping for Efficient Billion-Scale Heterogeneous Graph Learning
Span-Level Emotion Cause Analysis by BERT-based Graph Attention Network
Weight Matters: An Empirical Investigation of Distance Oracles on Knowledge Graphs
Location-aware instant search
Image-text Retrieval with Main Semantics Consistency
Parameter Tuning with User Models: Influencing Aggregate User Behavior in Cluster Based Retrieval Systems
Parameter sensitivity in the probabilistic model for ad-hoc retrieval
Mining query structure from click data: a case study of product queries
CoLight: Learning Network-level Cooperation for Traffic Signal Control
A Semantic Meta-Modeling Approach to Schema Transformation
Regularizing ad hoc retrieval scores
Ranking-based processing of SQL queries
DLQ: A System for Label-Constrained Reachability Queries on Dynamic Graphs
Advancing Certified Robustness of Explanation via Gradient Quantization
A positional access method for relational databases
Exploiting proximity feature in statistical translation models for information retrieval
Accurate User Directed Summarizatiion from Existing Tools
LLP-Bench: A Large Scale Tabular Benchmark for Learning from Label Proportions
CLC-RS: A Chinese Legal Case Retrieval System with Masked Language Ranking
On Implementing SchemaLog - A Database Programming Language
Leaving so soon?: understanding and predicting web search abandonment rationales
Personalized Semantic Word Vectors
CSPM: A Contrastive Spatiotemporal Preference Model for CTR Prediction in On-Demand Food Delivery Services
Skyline Query Processing over Encrypted Data: An Attribute-Order-Preserving-Free Approach
AutoXAI: A Framework to Automatically Select the Most Adapted XAI Solution
An efficient index for massive IOT data in cloud environment
Supporting sub-document updates and queries in an inverted index
Re-evaluating Embedding-Based Knowledge Graph Completion Methods
A Comparison of DFT and DWT based Similarity Search in Time-Series Databases
Adapting cost-sensitive learning for reject option
WARNER: Weakly-Supervised Neural Network to Identify Eviction Filing Hotspots in the Absence of Court Records
sDoc: exploring social wisdom for document enhancement in web mining
Spectral-Aware Augmentation for Enhanced Graph Representation Learning
Seasonal-Periodic Subgraph Mining in Temporal Networks
Mining entity translations from comparable corpora: a holistic graph mapping approach
CiteSeer-API: towards seamless resource location and interlinking for digital libraries
Robust Normalized Squares Maximization for Unsupervised Domain Adaptation
Achoio: A Skill-Aware Evaluation Management System for Text-To-Speech Research
Named entity transliteration for cross-language information retrieval using compressed word format mapping algorithm
Integrating web query results: holistic schema matching
Proceeding of the 2008 ACM Workshop on Large-Scale Distributed Systems for Information Retrieval, LSDS-IR 2008, Napa Valley, California, USA, October 30, 2008
Semi-supervised Hypergraph Node Classification on Hypergraph Line Expansion
Constraint Back-translation Improves Complex Instruction Following of Large Language Models
Efficient Computation of Importance Based Communities in Web-Scale Networks Using a Single Machine
Joint Dictionary Learning and Semantic Constrained Latent Subspace Projection for Cross-Modal Retrieval
Efficient Availability Mechanisms in Distributed Databases Systems
Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning Behavior in Time Series Classification from Frequency Domain
PAVE: Lazy-MDP based Ensemble to Improve Recall of Product Attribute Extraction Models
Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation
Managing evolving code sets and integration of multiple data sources in health care analytics
Machine Learning Model Development for Space Weather Forecasting in the Ionosphere
Mining topic-level influence in heterogeneous networks
Patterns of Search Result Examination: Query to First Action
A Relational Algebra for Data/Metadata Integration in a Federated Database System
TellMyRelevance!: predicting the relevance of web search results from cursor interactions
searchrefiner: A Query Visualisation and Understanding Tool for Systematic Reviews
Quantifying uncertainty in multi-dimensional cardinality estimations
Non-Uniform Adversarial Perturbations for Discrete Tabular Datasets
Exploring High-Order User Preference with Knowledge Graph for Recommendation
Modeling LSH for performance tuning
"Strength Lies in Differences": Diversifying Friends for Recommendations through Subspace Clustering
Multi-Granularity Modeling in Recommendation: from the Multi-Scenario Perspective
You are where you tweet: a content-based approach to geo-locating twitter users
Interconnection semantics for keyword search in XML
MUSER: A Multi-View Similar Case Retrieval Dataset
A metamodel approach to flexible semantic web service discovery
MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction
Talking Face Generation Based on Information Bottleneck and Complementary Representations
PQBF: I/O-Efficient Approximate Nearest Neighbor Search by Product Quantization
BED: A Real-Time Object Detection System for Edge Devices
A Context-aware Collaborative Filtering Approach for Urban Black Holes Detection
Enhance Prototypical Network with Text Descriptions for Few-shot Relation Classification
X007: Applying 007 Benchmark to XML Query Processing Tool
LTPHM: Long-term Traffic Prediction based on Hybrid Model
Dataless Text Classification: A Topic Modeling Approach with Document Manifold