yusuke1997/dblp-id-title huggingface dataset:
Truth Discovery by Claim and Source Embedding
Improving Adversarial Transferability via Frequency-based Stationary Point Search
MoBoost: A Self-improvement Framework for Linear-based Hashing
Thoughts on the complex relation between linked data, semantic annotations, and ontologies
Exploring the Potential of Pre-Trained Language Models in Long-Term Semantic Scene Change Prediction Using Variable Scene Graphs
Humane data mining
To swing or not to swing: learning when (not) to advertise
Neural Review Summarization Leveraging User and Product Information
Automatic computation of semantic proximity using taxonomic knowledge
SmartIndex: An Index Advisor with Learned Cost Estimator
UnCommonSense: Informative Negative Knowledge about Everyday Concepts
Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment
Graph Embedding Based on Euclidean Distance Matrix and its Applications
Schema2QA: High-Quality and Low-Cost Q&A Agents for the Structured Web
A Biased Sampling Method for Imbalanced Personalized Ranking
Collection Selection and Results Merging with Topically Organized U.S. Patents and TREC Data
Large-Scale Real-Time Data Management for Engagement and Monetization
TwinChat: A Twitter and Web User Interactive Chat System
The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models
Using Topic Modeling and Adversarial Neural Networks for Fake News Video Detection
Conversational Information Retrieval using Knowledge Graphs
Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge Distillation
Holistic Crowd-Powered Sorting via AID: Optimizing for Accuracies, Inconsistencies, and Difficulties
Searching similar segments over textual event sequences
Mastodoner: A Command-line Tool and Python Library for Public Data Collection from Mastodon
Out of Distribution Detection for Efficient Continual Learning in Quality Prediction for Arc Welding
Temporal Database Modeling: An Object-Oriented Approach
DECO: Cooperative Order Dispatching for On-Demand Delivery with Real-Time Encounter Detection
FairER: Entity Resolution With Fairness Constraints
PRIMA: Privacy preserving Multi-dimensional Analytic Approach
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning
Identifying Time Intervals of Interest to Queries
On the Knowledge-Driven Analytics and Systems Impacting Human Quality of Life
Towards measuring the visualness of a concept
SAND: Semantic Annotation of Numeric Data in Web Tables
SISP: a new framework for searching the informative subgraph based on PSO
Multi-step Prompting for Few-shot Emotion-Grounded Conversations
Structured data classification by means of matrix factorization
JTOWL: A JSON to OWL Converto
Unsupervised Multi-Modal Representation Learning for High Quality Retrieval of Similar Products at E-commerce Scale
Evaluating and Addressing Fairness Across User Groups in Negative Sampling for Recommender Systems
Just in time indexing for up to the second search
Predicting Startup Crowdfunding Success through Longitudinal Social Engagement Analysis
Exploiting latent relevance for relational learning of ubiquitous things
Graph-based workflow recommendation: on improving business process modeling
HEProto: A Hierarchical Enhancing ProtoNet based on Multi-Task Learning for Few-shot Named Entity Recognition
Learning-based relevance feedback for web-based relation completion
Practical Aspects of Sensitivity in Online Experimentation with User Engagement Metrics
SCAlign: Transaction Event Prediction via Multi-Scale Market Dynamics Alignment
Early prediction on imbalanced multivariate time series
Analysis of Telegram, An Instant Messaging Service
A two-phase algorithm for mining sequential patterns with differential privacy
printf: Preference Modeling Based on User Reviews with Item Images and Textual Information via Graph Learning
A human-ML collaboration framework for improving video content reviews
Learning Discriminative and Unbiased Representations for Few-Shot Relation Extraction
Causal Relationship over Knowledge Graphs
Searching Locally-Defined Entities
Rank by Time or by Relevance?: Revisiting Email Search
Predicting Multi-level Socioeconomic Indicators from Structural Urban Imagery
Fusing Parallel Social Contexts within Flexible-Order Proximity for Microblog Topic Detection
Multiple Query Optimization with Depth-First Branch-and-Bound and Dynamic Query Ordering
Prediction of Mobile Coupon Use: Data Analytics of Influencing Factors
Anomaly-free incremental output in stream processing
Mining high utility itemsets without candidate generation
High-quality Task Division for Large-scale Entity Alignment
Evaluating top-k queries over incomplete data streams
#DemocratsAreDestroyingAmerica: Rumour Analysis on Twitter During COVID-19
Exploring and predicting search task difficulty
Exploiting hierarchical tags for context-awareness
Multileaved Comparisons for Fast Online Evaluation
Computing and Illustrating Query Rewritings on Path Views with Binding Patterns
Scalable entity matching computation with materialization
Relation regularized subspace recommending for related scientific articles
Knowledge Management for Keyword Search over Data Graphs
Dissecting Cross-Layer Dependency Inference on Multi-Layered Inter-Dependent Networks
Inferring Information Diffusion Networks without Timestamps
Challenges in searching social media
Mixture of Semantic and Spatial Experts for Explainable Traffic Prediction
Summarization of Discussion Groups
META-CODE: Community Detection via Exploratory Learning in Topologically Unknown Networks
RotDiff: A Hyperbolic Rotation Representation Model for Information Diffusion Prediction
Collaborative filtering with decoupled models for preferences and ratings
Efficient algorithms for generalized subgraph query processing
Analyzing social media friendship for personalization
PriviRec: Confidential and Decentralized Graph Filtering for Recommender Systems
Survey of Computational Methods in Cyberbullying Research
Dynamic Transfer Gaussian Process Regression
Target-oriented Few-shot Transferring via Measuring Task Similarity
Long-Term RNN: Predicting Hazard Function for Proactive Maintenance of Water Mains
TAER: time-aware entity retrieval-exploiting the past to find relevant entities in news articles
Learning to rank by aggregating expert preferences
Multi-Faceted Hierarchical Multi-Task Learning for Recommender Systems
Online Kernel Selection via Tensor Sketching
Composable XML integration grammars
Discovering Quasi-Equivalence Relationships from Database Systems
SDD: Shape-aware Data-driven Attention Mechanism for Time Series Analysis
Weighted network decapitation: the economics of iterated attack and defense
Identifying hotspots on the real-time web
XPM: An Explainable Deep Reinforcement Learning Framework for Portfolio Management
More than relevance: high utility query recommendation by mining users' search behaviors
DAS: Dual-Aligned Semantic IDs Empowered Industrial Recommender System
Finding good feedback documents
Mining all maximal frequent word sequences in a set of sentences
Constrained multi-aspect expertise matching for committee review assignment
Spatial Data Traversal in Road Map Databases: A Graph Indexing Approach
Challenges in enabling social application at scale: cloudDB'12 invited-keynote talk abstract
On the Gap Between Diffusion and Transformer Multi-Tabular Generation
QoS-Aware Scheduling of Heterogeneous Servers for Inference in Deep Neural Networks
Multimodal RAG Enhanced Visual Description
Scalable Graph Sampling on GPUs with Compressed Graph
SoCRATe: A Recommendation System with Limited-Availability Items
Differentially Private Regression for Discrete-Time Survival Analysis
Exploring Diverse Sparse Network Structures via Dynamic Pruning with Weight Alignment
Joint bilingual name tagging for parallel corpora
Query Definability and Its Approximations in Ontology-based Data Management
XCapsUTL: Cross-domain Unsupervised Transfer Learning Framework using a Capsule Neural Network
Residual Correction in Real-Time Traffic Forecasting
Tracking the Impact of Fact Deletions on Knowledge Graph Queries using Provenance Polynomials
Learning Subjective Relevance to Facilitate Information Access
Automatic detection of craters in planetary images: an embedded framework using feature selection and boosting
The where in the tweet
Invariance Testing and Feature Selection Using Sparse Linear Layers
Valid scope computation for location-dependent spatial query in mobile broadcast environments
Getting the units right
The effect of contextualization at different granularity levels in content-oriented xml retrieval
Proceedings of the 2012 International Workshop on Smart Health and Wellbeing, SHB 2012, October 29, 2012, Maui, HI, USA
A Fresh Look on Knowledge Bases: Distilling Named Events from News
XML parsing: a threat to database performance
Context modeling for ranking and tagging bursty features in text streams
GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation
PSLSH: An Index Structure for Efficient Execution of Set Queries in High-Dimensional Spaces
Distributed Processing of Time-Constrained Queries in CASE-DB
Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), Gold Coast, Queensland, Australia, November 1-5, 2021
Uncertainty-Aware Self-Training for Semi-Supervised Event Temporal Relation Extraction
Learning to Account for Good Abandonment in Search Success Metrics
Exploit Latent Dirichlet Allocation for One-Class Collaborative Filtering
Optimizing for Member Value in an Edge Building Marketplace
CloST: a hadoop-based storage system for big spatio-temporal data analytics
DBinsight: A Tool for Interactively Understanding the Query Processing Pipeline in RDBMSs
Do Graph Neural Networks Build Fair User Models? Assessing Disparate Impact and Mistreatment in Behavioural User Profiling
EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction
Legal Charge Prediction via Bilinear Attention Network
Experimental Evaluation of PFS Continuous Media File System
Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations
Extracting problem solved concepts from patent documents
Utilizing re-finding for personalized information retrieval
An empirical study of top-n recommendation for venture finance
Self-Supervised Embedding for Subspace Clustering
OpenAttHetRL: An Open Source Toolkit for Attributed Heterogeneous Network Representation Learning
ATENA: An Autonomous System for Data Exploration Based on Deep Reinforcement Learning
Personalized Imputation on Wearable-Sensory Time Series via Knowledge Transfer
Comprehension-based result snippets
Designing semantics-preserving cluster representatives for scientific input conditions
Memory-based Recommendations of Entities for Web Search Users
GCformer: An Efficient Solution for Accurate and Scalable Long-Term Multivariate Time Series Forecasting
Message Passing for Complex Question Answering over Knowledge Graphs
Autonomous Predictive Modeling via Reinforcement Learning
Model Selection with the Covering Number of the Ball of RKHS
Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data
Comparison of IPC and USPC classification systems in patent prior art searches
Inferring document similarity from hyperlinks
Finding images of difficult entities in the long tail
Modeling Customer Engagement from Partial Observations
ECol 2015: First international workshop on the Evaluation on Collaborative Information Seeking and Retrieval
Towards a data-centric view of cloud security
POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling
Intent Term Weighting in E-commerce Queries
Promoting Diversity in Mixed Complex Cooperative and Competitive Multi-Agent Environment
Decoupling Feature Entanglement for Personalized Federated Learning via Neural Collapse
Movie review mining and summarization
Exploiting user interests for collaborative filtering: interests expansion via personalized ranking
Geometric Graph Learning for Protein Mutation Effect Prediction
iMecho: an associative memory based desktop search system
Automatic Meta-Path Discovery for Effective Graph-Based Recommendation
Localized routing trees for query processing in sensor networks
DataType-Aware Knowledge Graph Representation Learning in Hyperbolic Space
Towards the Effective Linking of Social Media Contents to Products in E-Commerce Catalogs
Ontologies and semantic mining for bio-technology and chemistry data and patents
CRF framework for supervised preference aggregation
Efficiently anonymizing social networks with reachability preservation
Swimming against the streamz: search and analytics over the enterprise activity stream
Combining one-class classifiers via meta learning
Dual Correction Strategy for Ranking Distillation in Top-N Recommender System
Estimating Nested Selectivity in Object-Oriented Databases
aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model
Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data
Cager: a framework for cross-page search
Billion-Scale Graph Deep Learning Framework for Ads Recommendation
G2PTL: A Geography-Graph Pre-trained Model
Ranking in folksonomy systems: can context help?
Hiding a Needle in a Haystack: Privacy Preserving Apriori algorithm inMapReduce Framework
Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation
Variety Is the Spice of Life: Detecting Misinformation with Dynamic Environmental Representations
Discovering top-k teams of experts with/without a leader in social networks
Application Performance Anomaly Detection with LSTM on Temporal Irregularities in Logs
An Integrated Bayesian Approach for Effective Multi-Truth Discovery
Recommending Datasets for Scientific Problem Descriptions
Query Expansion Using Word Embeddings
Coreex: content extraction from online news articles
Proceedings of the 2013 Workshop on Data-Driven User Behavioral Modelling and Mining from Social Media, DUBMOD@CIKM 2013 San Francisco, CA, USA, October 28, 2013
Data Structure for Efficient Line of Sight Queries
Link Polarity Prediction from Sparse and Noisy Labels via Multiscale Social Balance
XplainScreen: Unveiling the Black Box of Graph Neural Network Drug Screening Models with a Unified XAI Framework
Some Issues for Location Dependent Information System Query in Mobile Environment
SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation
AFRF: Angle Feature Retrieval Based Popularity Forecasting
PERC: A Prior-Guided Framework for Classifying Long-Content Educational Resources with Imbalanced Category Distributions
Fair Class Balancing: Enhancing Model Fairness without Observing Sensitive Attributes
Rough sets based reasoning and pattern mining for a two-stage information filtering system
Rk-hist: an r-tree based histogram for multi-dimensional selectivity estimation
A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS
Spatial Justice: Towards an Ethics of Spatial Equity
An Extensible Query Model and Its Languages for a Uniform Behavioral Object Management System
Voting for candidates: adapting data fusion techniques for an expert search task
A fast filtering scheme for large database cleansing
Sentaur: Sensor Observable Data Model for Smart Spaces
Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework
Federated Approximate Query Processing Based on Deep Models
On the generation of rich content metadata from social media
Optimal Unification of Bounded Simple Set Terms
Pruning strategies for mixed-mode querying
GAS-Norm: Score-Driven Adaptive Normalization for Non-Stationary Time Series Forecasting in Deep Learning
Structural Deep Incomplete Multi-view Clustering Network
Explore click models for search ranking
Jointly Modeling Static Visual Appearance and Temporal Pattern for Unsupervised Video Hashing
Processing complex RDF queries over P2P networks
Translating a trillion points of data into therapies, diagnostics, and new insights into disease
A case for probabilistic logic for scalable patent retrieval
Shifting Information Interactions
Efficient association discovery with keyword-based constraints on large graph data
Similarity-aware indexing for real-time entity resolution
Co-Training with Validation: A Generic Framework for Semi-Supervised Relation Extraction
iMask: Towards a Smart Mask Network Prototype for Monitoring Respiratory Viruses
Context-sensitive document ranking
Learning from Textual Data in Database Systems
Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks
UniECS: Unified Multimodal E-Commerce Search Framework with Gated Cross-modal Fusion
Estimating interleaved comparison outcomes from historical click data
Leonardo's laptop: human needs and the new computing technologies
Understanding book search behavior on the web
Efficient Refreshment of Materialized Views with Multiple Sources
G2IFS: Global-to-Instance Feature Selection in Deep Recommender System
Performance thresholding in practical text classification
A Demonstration of SearchonTS: An Efficient Pattern Search Framework for Time Series Data
A Sampling-Based System for Approximate Big Data Analysis on Computing Clusters
Pruning long documents for distributed information retrieval
Online conversation mining for author characterization and topic identification
Knowlywood: Mining Activity Knowledge From Hollywood Narratives
MetaTPOT: Enhancing A Tree-based Pipeline Optimization Tool Using Meta-Learning
Enhancing and Assessing Instruction-Following with Fine-Grained Instruction Variants
Brown dwarf: a P2P data-warehousing system
Supervised language modeling for temporal resolution of texts
Investigating the Impact of Multimodality and External Knowledge in Aspect-level Complaint and Sentiment Analysis
Knowledge Injection via ML-based Initialization of Neural Networks
Commonsense Temporal Action Knowledge (CoTAK) Dataset
Using LSI for Text Classification in the Presence of Background Text
A Graph-based Recommendation across Heterogeneous Domains
MentalSpot: Effective Early Screening for Depression Based on Social Contagion
Discovering Conflicts of Interest across Heterogeneous Data Sources with ConnectionLens
Enhancing recommender systems under volatile userinterest drifts
Knowledge-driven Analytics and Systems Impacting Human Quality of Life- Neurosymbolic AI, Explainable AI and Beyond
A Cross-modal Multi-task Learning Framework for Image Annotation
Quantum-Amplitude Embedded Adaptation for Parameter-Efficient Fine-Tuning in Large Language Models
StreamingRT: Stream KNN Join with Ray Tracing Core
Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems
Towards Making Effective Machine Learning Decisions Against Out-of-Distribution Data
KIEPrompter: Leveraging Lightweight Models' Predictions for Cost-Effective Key Information Extraction using Vision LLMs
Mining tourist information from user-supplied collections
In Situ and Context-Aware Target Apps Selection for Unified Mobile Search
Estimating accuracy for text classification tasks on large unlabeled data
Heterogeneous cross domain ranking in latent space
Integrating heterogeneous reatures for efficient content based music retrieval
SocialTransfer: Transferring Social Knowledge for Cold-Start Cowdsourcing
FnRGNN: Distribution-aware Fairness in Graph Neural Network
TILD: A Strategy to Identify Cancer-related Genes Using Title Information in Literature Data
Efficient Learning with Pseudo Labels for Query Cost Estimation
An Ontology of Form PF
Incremental Mining of High Utility Sequential Patterns in Incremental Databases
Datasets for Supervised Adversarial Attacks on Neural Rankers
Exploring multimedia databases via optimization-based relevance feedback and the earth mover's distance
Domain knowledge conceptual inter-media indexing: application to multilingual multimedia medical reports
Search tactics as means of examining search processes in collaborative exploratory web search
Exploring The Interaction Effects for Temporal Spatial Behavior Prediction
Improving one-class collaborative filtering by incorporating rich user information
Seed-free Graph De-anonymiztiation with Adversarial Learning
Refining Wikidata Taxonomy using Large Language Models
Log-Bilinear Document Language Model for Ad-hoc Information Retrieval
Content-Agnostic Malware Detection in Heterogeneous Malicious Distribution Graph
Matching stream patterns of various lengths and tolerances
Calculating similarity between texts using graph-based text representation model
Collection-level analysis tools for books online
InfoMLP: Unlocking the Potential of MLPs for Semi-Supervised Learning with Structured Data
The Geometry of Knowledge and Computational Discovery
Detecting and exploring clusters in attributed graphs: a plugin for the gephi platform
MEET: a generalized framework for reciprocal recommender systems
HAES: A New Hybrid Approach for Movie Recommendation with Elastic Serendipity
Finding nuggets in IP portfolios: core patent mining through textual temporal analysis
Know Your Onions: Understanding the User Experience with the Knowledge Module in Web Search
FairGraph: Automated Graph Debiasing with Gradient Matching
iMIRACLE: An Iterative Multi-View Graph Neural Network to Model Intercellular Gene Regulation From Spatial Transcriptomic Data
Re-ranking by local re-scoring for video indexing and retrieval
Towards Reliable and Practicable Algorithmic Recourse
LawLLM: Law Large Language Model for the US Legal System
The Effect of Word Sense Disambiguation Accuracy on Literature Based Discovery
Efficient parsing-based search over structured data
Understanding and Predicting Weight Loss with Mobile Social Networking Data
Patient Clustering via Integrated Profiling of Clinical and Digital Data
ThyExp: An explainable AI-assisted Decision Making Toolkit for Thyroid Nodule Diagnosis based on Ultra-sound Images
Pooling Architecture Search for Graph Classification
Efficient Sampling Algorithms for Approximate Temporal Motif Counting
On a Chatbot Conducting Virtual Dialogues
An outcome discovery system to determine mortality factors in primary care facilities
Exploring group mobility for replica data allocation in a mobile environment
LLM4ES: Learning User Embeddings from Event Sequences via Large Language Models
Taxonomy-based regression model for cross-domain sentiment classification
Supporting Fast Search in Time Series for Movement Patterns in Multiple Scales
An Optimal Construction of Invalidation Reports for Mobile Databases
Improving Irregularly Sampled Time Series Learning with Time-Aware Dual-Attention Memory-Augmented Networks
Ensembling Bayesian network structure learning on limited data
Text classification with relatively small positive documents and unlabeled data
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance
Dynamic Query Optimization on a Distributed Object Management Platform
An Improved Boosting Algorithm and its Application to Text Categorization
CADIF-OSN: Detecting Cloned Accounts with Missing Profile Attributes on Online Social Networks
How Foreign Function Integration Conquers Heterogeneous Query Processing
Learning to recommend with social relation ensemble
CONSENTO: a new framework for opinion based entity search and summarization
The virGIS WFS-based spatial mediation system
Network-aware search in social tagging applications: instance optimality versus efficiency
LEReg: Empower Graph Neural Networks with Local Energy Regularization
Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records
MI-WDIS: web data integration system for market intelligence
Mining redundancy in candidate-bearing snippets to improve web question answering
Concept-Based Relevance Models for Medical and Semantic Information Retrieval
PARMA: a parallel randomized algorithm for approximate association rules mining in MapReduce