yusuke1997/dblp-id-title huggingface dataset:
Constrained Co-embedding Model for User Profiling in Question Answering Communities
Summary of the 4th workshop on analytics for noisy unstructured text data (AND)
Management of data with uncertainties
PSBD 2014: Overview of the 1st International Workshop on Privacy and Security of Big Data
Taxonomy Induction Using Hypernym Subsequences
Top-k retrieval using conditional preference networks
What happens after an ad click?: quantifying the impact of landing pages in web advertising
Aroma: A New Data Protection Method with Differential Privacy and Accurate Query Answering
Constrained subspace skyline computation
Certification and Trade-off of Multiple Fairness Criteria in Graph-based Spam Detection
Group CRM: a new telecom CRM framework from social network perspective
ITL-LIME: Instance-Based Transfer Learning for Enhancing Local Explanations in Low-Resource Data Settings
Improving bag-of-visual-words model with spatial-temporal correlation for video retrieval
Algorithm for Discovering Multivalued Dependencies
Exploring the existing category hierarchy to automatically label the newly-arising topics in cQA
Asking Questions with Thoughts: An Efficient Difficulty-Controllable Question Generation Method with Posterior Knowledge Distillation
Multi-level operator combination in XML query processing
A coarse-grain grid-based subspace clustering method for online multi-dimensional data streams
Learning to Generate Reformulation Actions for Scalable Conversational Query Understanding
AceKG: A Large-scale Knowledge Graph for Academic Data Mining
Succinct Adaptive Manifold Transfer
Representative entry selection for profiling blogs
Motion-Based Bird-UAV Classification Using 3D-CNN for Long-Range Anti-UAV Systems
Content Recommendation by Noise Contrastive Transfer Learning of Feature Representation
Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model
Impact of timing constraints on real-time database recovery
Privacy and anonymization for very large datasets
CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation
Privacy preserving sequential pattern mining in distributed databases
Anomaly Detection in Dynamic Networks using Multi-view Time-Series Hypersphere Learning
Event threading within news topics
Nudging Neural Click Prediction Models to Pay Attention to Position
PruSM: a prudent schema matching approach for web forms
Cross-heterogeneity Graph Few-shot Learning
Retweet Prediction with Attention-based Deep Neural Network
Dynamic Ensemble Member Selection for Data Stream Classification
Parallel triangle counting in massive streaming graphs
SpCQL: A Semantic Parsing Dataset for Converting Natural Language into Cypher
A Multiple Instance Learning Framework for Identifying Key Sentences and Detecting Events
Can phrase indexing help to process non-phrase queries?
Graph-based Alignment and Uniformity for Recommendation
Sliding-Window Filtering: An Efficient Algorithm for Incremental Mining
Generating facets for phone-based navigation of structured data
OrientStream: A Framework for Dynamic Resource Allocation in Distributed Data Stream Management Systems
Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation
Using English information in non-English web search
PISA: An Index for Aggregating Big Time Series Data
Computation of Partial Query Results Using An Adaptive Stratified Sampling Technique
Federated Data Preparation, Learning, and Debugging in Apache SystemDS
Domain Cartridge: Unsupervised Framework for Shallow Domain Ontology Construction from Corpus
An Optimization Framework for Merging Multiple Result Lists
Ranking objects by following paths in entity-relationship graphs
Probabilistic first pass retrieval for search advertising: from theory to practice
Integrating Diagnosis Rules into Deep Neural Networks for Bladder Cancer Staging
Agglomerating local patterns hierarchically with ALPHA
Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation
Spreader Behavior Forecasting: Intent-aware Neural Processes for Intervening Misinformation
Locally Slope-based Dynamic Time Warping for Time Series Classification
Adaptive Pairwise Preference Learning for Collaborative Recommendation with Implicit Feedbacks
BNS feature scaling: an improved representation over tf-idf for svm text classification
Multi-Property Molecular Optimization using an Integrated Poly-Cycle Architecture
A Learning Approach to Processor Allocation in Parallel Systems
Model-based Feedback in the Language Modeling Approach to Information Retrieval
Recent Developments in Text Summarization
Seq2Bubbles: Region-Based Embedding Learning for User Behaviors in Sequential Recommenders
Spectrum-based Deep Neural Networks for Fraud Detection
Document Filtering for Long-tail Entities
Online multitasking and user engagement
Multi-Dimensional Representations - How Many Dimensions?
From Patterns to Predictions: A Shapelet-Based Framework for Directional Forecasting in Noisy Financial Markets
Routing an Autonomous Taxi with Reinforcement Learning
SeqGen: A Sequence Generator via User Side Information for Behavior Sparsity in Recommendation
Sensitive and Scalable Online Evaluation with Theoretical Guarantees
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training
A New Conflict Relation for Concurrency Control and Recovery in object-based Databases
BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network
Identifying multilingual Wikipedia articles based on cross language similarity and activity
Order checking in a CPOE using event analyzer
Survival Analysis based Framework for Early Prediction of Student Dropouts
Boosting social annotations using propagation
Unsupervised Feature Selection for Multi-View Clustering on Text-Image Web News Data
Extracting Situational Information from Microblogs during Disaster Events: a Classification-Summarization Approach
DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long Time-Series Forecasting
Dynamic Group Parameter Modeling for Click-Through-Rate Prediction
Modelling Relevance towards Multiple Inclusion Criteria when Ranking Patients
Group-Aware Weighted Bipartite B-Matching
Enabling Social Search in Time through Graphs
Unleashing the Power of Large Language Models for Legal Applications
On arabic search: improving the retrieval effectiveness via a light stemming approach
Tensor Rank Estimation and Completion via CP-based Nuclear Norm
EEG-FSL: An EEG-Based Few-Shot Learning Framework for Music Recommendation
Automatically constructing collections of online database directories
A Query based Approach for Integrating Heterogeneous Data Sources
Truth be Told: Fake News Detection Using User Reactions on Reddit
Guess the Age of Photos: An Interactive Web Platform for Historical Image Age Estimation
Multi-Task Recommendation with Task Information Decoupling
The 1st Workshop on Recommendation with Generative Models
Forest-Based Dynamic Sorted Neighborhood Indexing for Real-Time Entity Resolution
MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation
Feature selection based on term frequency and T-test for text categorization
An efficient and simple under-sampling technique for imbalanced time series classification
Contextual Representation Anchor Network for Mitigating Selection Bias in Few-Shot Drug Discovery
Adversarially Attacking Graph Properties and Sparsification in Graph Learning
A unified field theory of publishing in the networked era
Towards Practical Large Scale Non-Linear Semi-Supervised Learning with Balancing Constraints
n23Tool: a Tool for Exploring Large Relational Data Sets Through 3D Dynamic Projections
Broad Learning based Multi-Source Collaborative Recommendation
LeadFairRec: LLM-enhanced Discriminative Counterfactual Debiasing for Two-sided Fairness in Recommendation
A Cost Estimation Technique for Recursive Relational Algebra
Loyalty-based Task Assignment in Spatial Crowdsourcing
PRID: An Efficient Pub/Sub Ride Hitching System
A Framework for the Management of Past Experiences with Time-Extended Situations
Representing document as dependency graph for document clustering
Scalable continuous range monitoring of moving objects in symbolic indoor space
Time-Series Aware Precision and Recall for Anomaly Detection: Considering Variety of Detection Result and Addressing Ambiguous Labeling
Data filtering in humor generation: comparative analysis of hit rate and co-occurrence rankings as a method to choose usable pun candidates
Revisiting Long-Tailed Learning: Insights from an Architectural Perspective
Communication-Efficient Distributed Deep Metric Learning with Hybrid Synchronization
Efficient Processing of Location-Aware Group Preference Queries
Proceeding of the 7rd International Workshop on Data and Text Mining in Bioinformatics, DTMBIO 2013, San Francisco, CA, USA, November 1, 2013
Building recommendation systems using peer-to-peer shared content
IDM 2017: Workshop on Interpretable Data Mining - Bridging the Gap between Shallow and Deep Models
Exploring Database Normalization Effects on SQL Generation
A Study of Context Dependencies in Multi-page Product Search
Finding MIDDLE Ground: Scalable and Secure Distributed Learning
SemFE: Facilitating ML Pipeline Development with Semantics
One-Class Active Learning for Outlier Detection with Multiple Subspaces
Bottom-up Faceted Search: Creating Search Neighbourhoods with Datacube Cells
Using domain ontology for semantic web usage mining and next page prediction
XMLTM: efficient transaction management for XML documents
EdgeSLU: 1.58-bit Voice Control Framework
Driving the Herd: Search Engines as Content Influencers
Towards Seamless User Query to REST API Conversion
ClaSP - Time Series Segmentation
Leveraging read rates of passive RFID tags for real-time indoor location tracking
Rethinking the Training Paradigm of Discrete Token-Based Multimodal LLMs: An Analysis of Text-Centric Bias
Active learning in parallel universes
A comprehensive analysis of parameter settings for novelty-biased cumulative gain
Demonstration of an RFID middleware: LIT ALE manager
Budget and Frequency Controlled Cost-Aware Model Extraction Attack on Sequential Recommenders
KUG: Joint Enhancement of Internal and External Knowledge for Retrieval-Augmented Generation
ParkFlow: Intelligent Dispersal for Mitigating Parking Shortages Using Multi-Granular Spatial-Temporal Analysis
PIXEL: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment
Modeling Behavior, A Step Towards Defining Functionally Correct Views of Complex Objects in Concurrent Engineering
Supporting context-based query in personal DataSpace
CIKM 2018 Workshops: Preface
Multi-aspect expertise matching for review assignment
Taxonomic clustering of web service for efficient discovery
Efficient Discovery of Abnormal Event Sequences in Enterprise Security Systems
Influence Maximization over Large-Scale Social Networks: A Bounded Linear Approach
Adaptive parallel approximate similarity search for responsive multimedia retrieval
Structural Clustering of Machine-Generated Mail
Relevance weighting using within-document term statistics
IMinimize: A System for Negative Influence Minimization via Vertex Blocking
Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation
Modeling UIMA type system using web ontology language: towards interoperability among UIMA-based NLP tools
FactCheck: Validating RDF Triples Using Textual Evidence
Person resolution in person search results: WebHawk
Proceedings of the 2015 Workshop on Topic Models: Post-Processing and Applications, TM 2015, Melbourne, Australia, October 19, 2015
Improving Summarization Quality with Topic Modeling
Inferring semantic query relations from collective user behavior
Information Extraction from Case Low and Retrieval of Prior Cases by Partial Parsing and Query Generation
A general markov framework for page importance computation
Building Text-mining Framework for Gene-Phenotype Relation Extraction using Deep Leaning
KAT: an Annotation Tool for STEM Documents
CoinCLIP: A Multimodal Framework for Assessing Viability in Web3 Memecoins
Merging distributed database summaries
Fully Dynamic Shortest-Path Distance Query Acceleration on Massive Networks
Quality assurance in document conversion: a hit?
Why is That a Background Article: A Qualitative Analysis of Relevance for News Background Linking
A hybrid approach to NER by MEMM and manual rules
HRCformer: Hierarchical Recursive Convolution-Transformer with Multi-Scale Adaptive Recalibration for Time Series Forecasting
HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation
Building structures from classifiers for passage reranking
UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning
PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning
M2IoU: A Min-Max Distance-based Loss Function for Bounding Box Regression in Medical Imaging
On the Exploitation of Heterophily in Graph-Based Multimodal Remote Sensing Data Analysis
A fast and simple method for extracting relevant content from news webpages
Recommending citations with translation model
Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning
ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed
SMEF: Social-aware Multi-dimensional Edge Features-based Graph Representation Learning for Recommendation
WDformer: A Wavelet-based Differential Transformer Model for Time Series Forecasting
On the structural properties of massive telecom call graphs: findings and implications
A Data Model for Supporting On-Line Analytical Processing
How to Make Museums More Interactive? Case Study of Artistic Chatbot
White Rabbit: Demonstrating Online KG Pathfinding Using Embeddings
A One-Health Platform for Antimicrobial Resistance Data Analytics
The Impact of Name-Matching and Blocking on Author Disambiguation
Incorporating topical support documents into a small training set in text categorization
IPNet: An Interaction Pattern-aware Neural Network for Temporal Link Prediction
HyperThesis: the gRNA spell on the curse of bioinformatics applications integration
Predicting emerging social conventions in online social networks
Mining Inter-Transaction Associations with Templates
FLAIR: Feedback Learning for Adaptive Information Retrieval
Identifying Cancer Subtypes based on Somatic Mutation Profile
ANR: Aspect-based Neural Recommender
Regularized Unconstrained Weakly Submodular Maximization
Semi-Supervised Learning with Data Augmentation for Tabular Data
Label-informed Graph Structure Learning for Node Classification
RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models
Studying how the past is remembered: towards computational history through large scale text mining
Discovering the Representative of a Search Engine
Adaptive Re-Ranking as an Information-Seeking Agent
Learning Discriminative Virtual Sequences for Time Series Classification
A Simulation-Based Approach for the Behavioural Analysis of Cancer Pathways
Leveraging Domain Information to Classify Financial Documents via Unsupervised Graph Momentum Contrast
MDCC: A Multimodal Dynamic Dataset for Donation-based Crowdfunding Campaigns
Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge Graphs
Rigor of TP in Educational Engineering Software
Domain-specific sentiment analysis using contextual feature generation
Advertiser Content Understanding via LLMs for Google Ads Safety
When Sensor Meets Tensor: Filling Missing Sensor Values Through a Tensor Approach
Variance maximization via noise injection for active sampling in learning to rank
SIMD-Based Multiple Sets Intersection with Dual-Scale Search Algorithm
NED: Niche Detection in User Content Consumption Data
Acquiring temporal constraints between relations
CarbonDB: a semantic life cycle inventory database
Observability of SQL Hints in Oracle
On Packing R-trees
Hashing by Proximity to Process Duplicates in Spatial Databases
TriD-MAE: A Generic Pre-trained Model for Multivariate Time Series with Missing Values
Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes
Fast Graph Convolution Network Based Multi-label Image Recognition via Cross-modal Fusion
Estimating average precision with incomplete and imperfect judgments
Automatic extraction of web data records containing user-generated content
Collision avoidance with bipartite arrangements
A Meta Model and an Infrastructure for the Non-Transparent Replication of Object Databases
Yes we can: simplex volume maximization for descriptive web-scale matrix factorization
Collaborative framework for supporting indigenous knowledge management
DTMBIO 2019: The Thirteenth International Workshop on Data and Text Mining in Biomedical Informatics
Industry Specific Word Embedding and its Application in Log Classification
Hierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product Search
Scalable summary based retrieval in P2P networks
Beyond Return Conditioning: Multi-Scale Sequence Modeling and Advantage-Guided Policy Routing for Offline RL
Facet selection algorithms for web product search
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation
Integrating the Framing of Clinical Questions via PICO into the Retrieval of Medical Literature for Systematic Reviews
Simulating Complex Problems Inside a Database
Mixture Proportion Estimation in Weakly Supervised Learning
Generating event storylines from microblogs
Scalable Privacy-Preserving Record Linkage for Multiple Databases
Mining Software Entities in Scientific Literature: Document-level NER for an Extremely Imbalance and Large-scale Task
Exploring Summary-Expanded Entity Embeddings for Entity Retrieval
Semi-supervised learning of semantic classes for query understanding: from the web and for the web
Citizen Organization System for Advanced MEDical research (COSAMED)
Ranking Entities for Web Queries Through Text and Knowledge
Semantics of query rewriting patterns in search logs
Metadata and Data Structures for the Historical Newspaper Digital Library
Temporal Network Embedding with Micro- and Macro-dynamics
Exploiting Sequential Music Preferences via Optimisation-Based Sequencing
A Knowledge-Enhanced Transformer-FL Method for Fault Root Cause Localization
Effective Graph Clustering for Path Queries in Digital Map Databases
Graph Unfolding Networks
Extracting Complex Information from Natural Language Text: A Survey
Generative Inverse Deep Reinforcement Learning for Online Recommendation
SERF: Schema Evalution through an Extensible, Re-usable and Flexible Framework
A relevant research agenda for the decision support industry
Offline and Online Satisfaction Prediction in Open-Domain Conversational Systems
Query-Biased Partitioning for Selective Search
Exploiting Spatio-Temporal User Behaviors for User Linkage
Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems
Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning
GraphIAM: Two-Stage Algorithm for Improving Class-Imbalanced Node Classification on Attribute-Missing Graphs
UGAD: Universal Generative AI Detector utilizing Frequency Fingerprints
A multimodal framework for unsupervised feature fusion
GCF-RD: A Graph-based Contrastive Framework for Semi-Supervised Learning on Relational Databases
DELTA: indexing and querying multi-labeled graphs
CheckDAPR: An MLLM-based Sketch Analysis System for Draw-A-Person-in-the-Rain Assessments
Task Allocation with Geographic Partition in Spatial Crowdsourcing
Personalized cluster-based semantically enriched web search for e-learning
Graph Inference via the Energy-efficient Dynamic Precision Matrix Estimation with One-bit Data
GPU acceleration of probabilistic frequent itemset mining from uncertain databases
Compressed Concatenation of Small Embedding Models
Predictive Uncertainty-based Bias Mitigation in Ranking
Text vs. space: efficient geo-search query processing
Hierarchical Classification as an Aid to Database and Hit-List Browsing
Understanding Sparse Topical Structure of Short Text via Stochastic Variational-Gibbs Inference
Multidimensional routing indices for efficient distributed query processing
Exploiting Inference from Semantic Annotations for Information Retrieval: Reflections From Medical IR
Reranking search results for sparse queries
Feature Selection on Data Stream via Multi-Cluster Structure Preservation
Indexing and retrieval of a Greek corpus
A densitometric approach to web page segmentation
Intra-document structural frequency features for semi-supervised domain adaptation
Web, Distributed Object Management, and Component Software (Panel)
Hierarchical target type identification for entity-oriented queries
Deriving Geolocations in Wikipedia
Updating an Existing Social Graph Snapshot via a Limited API
Scalable Spectral k-Support Norm Regularization for Robust Low Rank Subspace Learning
Binary Code based Hash Embedding for Web-scale Applications
Bitmap indexes for relational XML twig query processing
Summarizing web forum threads based on a latent topic propagation process
Anomaly and Novelty detection for Satellite and Drone systems (ANSD '23)
Deep Behavior Tracing with Multi-level Temporality Preserved Embedding
Probabilistic skyline queries
Assessing the relationship between context, user preferences, and content in search behaviour
Rule-based Knowledge Graph Completion with Canonical Models
Semiautomatic evaluation of retrieval systems using document similarities
SG-Filter: Enhancing Similar Text Retrieval via Hierarchical Summarized-Semantic Index and Adaptive Filtering
An evaluation of corpus-driven measures of medical concept similarity for information retrieval
BNN: Boosting Neural Network Framework Utilizing Limited Amount of Data
Enabling Group Fairness in Machine Unlearning via Distribution Correction
Graph Ladder Networks for Network Classification
A belief propagation approach for detecting shilling attacks in collaborative filtering
SAR-Net: A Scenario-Aware Ranking Network for Personalized Fair Recommendation in Hundreds of Travel Scenarios
The International Workshop on Spatio-Temporal Data Intelligence and Foundation Models
Polarity analysis of texts using discourse structure
Forecasting Pavement Performance with a Feature Fusion LSTM-BPNN Model
A GAIL Fine-Tuned LLM Enhanced Framework for Low-Resource Knowledge Graph Question Answering
Relevance Ranking for Real-Time Tweet Search
Evaluating, combining and generalizing recommendations with prerequisites
CONE-Align: Consistent Network Alignment with Proximity-Preserving Node Embedding
Adaptive Heterogeneous Graph Neural Networks: Bridging Heterophily and Heterogeneity
Interruption-Sensitive Empty Result Feedback: Rethinking the Visual Query Feedback Paradigm for Semistructured Data
DTMBIO 2020: The Fourteenth International Workshop on Data and Text Mining in Biomedical Informatics
Scaling Up Maximal k -plex Enumeration
MASR: A Model-Agnostic Sparse Routing Architecture for Arbitrary Order Feature Sharing in Multi-Task Learning
Evaluation by comparing result sets in context
Learning Region Similarity over Spatial Knowledge Graphs with Hierarchical Types and Semantic Relations
Records retention in relational database systems
Complex Temporal Question Answering on Knowledge Graphs
Beyond word2vec: Distance-graph Tensor Factorization for Word and Document Embeddings
ReverseCloak: Protecting Multi-level Location Privacy over Road Networks
Learning under Feature Drifts in Textual Streams
Mining Coordinated Intent Representation for Entity Search and Recommendation
A picture paints a thousand words: a method of generating image-text timelines
LogUCB: an explore-exploit algorithm for comments recommendation
Transfer Understanding from Head Queries to Tail Queries
Tractable XML data exchange via relations
The Range Skyline Query
A parallel algorithm for computing borders
Bayesian Heteroscedastic Matrix Factorization for Conversion Rate Prediction