yusuke1997/dblp-id-title huggingface dataset:
Price Forecast with High-Frequency Finance Data: An Autoregressive Recurrent Neural Network Model with Technical Indicators
Factor Model-Based Large Covariance Estimation from Streaming Data Using a Knowledge-Based Sketch Matrix
Online controlled experiments: introduction, insights, scaling, and humbling statistics
Harnessing the Power of Pre-trained Vision-Language Models for Efficient Medical Report Generation
Fractional Budget Allocation for Influence Maximization under General Marketing Strategies
Metaphor: a system for related search recommendations
Identification of (near) Real-time Traffic Congestion in the Cities of Australia through Twitter
Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset
GDFM: Gene Vectors Embodied Deep Attentional Factorization Machines for Interaction prediction
Re-ranking search results using query logs
Automated index management for distributed web search
Injury Narrative Text Classification: A Preliminary Study
On Efficient Meta-Level Features for Effective Text Classification
Sentiment analysis of sentences with modalities
Multi-view Clustering with Graph Embedding for Connectome Analysis
Time-Aware Recommender System via Continuous-Time Modeling
Retrieval of trending keywords in a peer-to-peer micro-blogging OSN
A Cost-Aware Approach for Collaborating Large Language Models and Small Language Models
Uncovering Corporate Influence: A First Scalable Method for Qualifying Holdings Computation
Analyzing and evaluating query reformulation strategies in web search logs
Preventing Negative Transfer on Sentiment Analysis in Deep Transfer Learning
Web news extraction via path ratios
Fuzzy semantic web ontology learning from fuzzy UML model
Making Sense of Spatial Trajectories
Interpretability of BERT Latent Space through Knowledge Graphs
Semi-Supervision Dramatically Improves Time Series Clustering under Dynamic Time Warping
SUMMA: subgraph matching in massive graphs
Personalized models of search satisfaction
Exploiting query views for static index pruning in web search engines
Best Practices for Top- N Recommendation Evaluation: Candidate Set Sampling and Statistical Inference Techniques
Modeling semantic relations between visual attributes and object categories via dirichlet forest prior
Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning
Highly Efficient Mining of Overlapping Clusters in Signed Weighted Networks
Principles for robust evaluation infrastructure
An Attentive Interaction Network for Context-aware Recommendations
Improving search engines using human computation games
Web-scale named entity recognition
Probabilistic Classifier Chain Inference via Gibbs Sampling
Efficient join processing on uncertain data streams
PERF Join: An Alternative to Two-way Semijoin and Bloomjoin
Towards estimating the number of distinct value combinations for a set of attributes
Bandit Learning in Many-to-One Matching Markets
Volume Ranking and Sequential Selection in Programmatic Display Advertising
Investigating Natural and Artificial Dynamics in Graph Data Mining and Machine Learning
Smoothing NDCG metrics using tied scores
Assessing the Impact of an Online Inquiry Teaching Intervention on Sixth Graders' Search Performance
A Dynamic Co-attention Network for Session-based Recommendation
User action interpretation for personalized content optimization in recommender systems
Efficient region-based image retrieval
MARU: Meta-context Aware Random Walks for Heterogeneous Network Representation Learning
Developing learning strategies for topic-based summarization
Unsupervised Representation Learning on Attributed Multiplex Network
Graph Representation Learning via Adversarial Variational Bayes
Location-aware click prediction in mobile local search
Exploiting Global Behavior Contextual Correlation in Sequential Recommendation Augmentation
Behavior-based Community Detection: Application to Host Assessment In Enterprise Information Networks
Discovering interesting usage patterns in text collections: integrating text mining with visualization
Winnowing-based text clustering
CBML: A Cluster-based Meta-learning Model for Session-based Recommendation
AQuPR: Attention based Query Passage Retrieval
Exploring the corporate ecosystem with a semi-supervised entity graph
Bi-channel Multiple Sparse Graph Attention Networks for Session-based Recommendation
Dynamically maintaining frequent items over a data stream
Mining long-lasting exploratory user interests from search history
Using the current browsing context to improve search relevance
Accelerating Concept Learning via Sampling
Prompt Tuning as User Inherent Profile Inference Machine
Alexa and Her Shopping Journey
Fairness-Aware Learning with Prejudice Free Representations
Demonstration of GenoMetric Query Language
FA + TA <FSA: Flexible Score Aggregation
QuickSkill: Novice Skill Estimation in Online Multiplayer Games
An Architecture for Supporting Quasi-agent Entities in the WWW
Sequence-level Semantic Representation Fusion for Recommender Systems
Spatio-temporal Trajectory Learning using Simulation Systems
Learning to Un-Rank: Quantifying Search Exposure for Users in Online Communities
Cache-based GNN System for Dynamic Graphs
Clustering Declustered Data for Efficient Retrieval
Semantic Entities
Ranking very many typed entities on wikipedia
Mining networks with shared items
Optimizing the cost of information retrieval testcollections
Embedding Knowledge Graphs in Function Spaces
Recommending citations: translating papers into references
Succinct Queries for Linking and Tracking News in Social Media
Information Integration with Attributio Support for Corporate Profiles
Aligning Large Language Model with Direct Multi-Preference Optimization for Recommendation
Contrasting Search as a Learning Activity with Instructor-designed Learning
A framework for estimating complex probability density structures in data streams
Matching task profiles and user needs in personalized web search
eGraphSearch: Effective Keyword Search in Graphs
Black-Box Adversarial Entry in Finance through Credit Card Fraud Detection
Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online Advertising
Real-time data pre-processing technique for efficient feature extraction in large scale datasets
Adaptive outlierness for subspace outlier ranking
WebLens: Towards Interactive Large-scale Structured Data Profiling
Fragment and Integrate Network (FIN): A Novel Spatial-Temporal Modeling Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate Prediction
On Efficient Storage Space Distribution Among Materialized Views and Indices in Data Warehousing Environments
Design and Evaluation Rules for Building Adaptive Schema in an Object-Oriented Data and Knowledge Base System
TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation
The Role of Domain Knowledge in Data Mining
Leveraging Automated Search Relevance Evaluation to Improve System Deployment: A Case Study in Healthcare
Beyond Success Rate: Utility as a Search Quality Metric for Online Experiments
Quality models for microblog retrieval
Truth Discovery in Crowdsourced Detection of Spatial Events
A Domain Independent Environment for Creating Information Extraction Modules
Query sampling for learning data fusion
Subtractive Aggregation for Attributed Network Anomaly Detection
Towards Automatic ICD Coding via Knowledge Enhanced Multi-Task Learning
Causality-guided Graph Learning for Session-based Recommendation
Hashing Graph Convolution for Node Classification
DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting
Constructing Noise Free Economic Policy Uncertainty Index
Diverse Effective Relationship Exploration for Cooperative Multi-Agent Reinforcement Learning
Improving query translation with confidence estimation for cross language information retrieval
Domain-independent entity coreference in RDF graphs
Performance of Clustering Policies in Object Bases
Feature selection with conditional mutual information maximin in text categorization
Multithreaded Processing in Dynamic Inverted Indexes for Web Search Engines
FediData: A Comprehensive Multi-Modal Fediverse Dataset from Mastodon
MatchSim: a novel neighbor-based similarity measure with maximum neighborhood matching
The deep web: woven to catch the middle ground
Evaluating contents-link coupled web page clustering for web search results
Exploring the effectiveness of medical entity recognition for clinical information retrieval
Commonsense Reasoning: How do Neuro-Symbolic and Neuro-only Approaches Compare?
Tutorial: Data Denoising Metrics in Recommender Systems
MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization
Analyzing future communities in growing citation networks
Efficient Batch Processing for Multiple Keyword Queries on Graph Data
Leveraging Graph Neighborhoods for Efficient Inference
Where Do LLMs Go Wrong? Diagnosing Automated Peer Review via Aspect-Guided Multi-Level Perturbation
LINDA: distributed web-of-data-scale entity matching
Bubble Sketch: A High-performance and Memory-efficient Sketch for Finding Top- k Items in Data Streams
How replicated data management in the cloud can benefit from a data grid protocol: the Re: GRIDiT Approach
L3X: Long Object List Extraction from Long Documents
Computational advertising: the linkedin way
What-if Analysis in Biomedical Networks based on Production Rule System
Randomized metric induction and evolutionary conceptual clustering for semantic knowledge bases
CSI: A Hybrid Deep Model for Fake News Detection
Data degradation: making private data less sensitive over time
Selecting keywords for content based recommendation
Matching directories and OWL ontologies with AROMA
Trustworthy Experimentation Under Telemetry Loss
Parameter-Efficient Transfer Learning for EEG Foundation Models via Task-Relevant Feature Focusing
Failure Prediction for Large-scale Water Pipe Networks Using GNN and Temporal Failure Series
EAGLE: Enhance Target-Oriented Dialogs by Global Planning and Topic Flow Integration
Loopless Semi-Stochastic Gradient Descent with Less Hard Thresholding for Sparse Learning
An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing
Fine and Coarse Granular Argument Classification before Clustering
Taxonomies by the numbers: building high-performance taxonomies
When Deep Learning Meets Transfer Learning
Yahoo! As an Ontology: Using Yahoo! Categories to Describe Documents
Revisiting Pre-processing Group Fairness: A Modular Benchmarking Framework
General Adaptive Memory Allocation for Learned Bloom Filters
Enabling direct interest-aware audience selection
Augmented Variational Autoencoders for Collaborative Filtering with Auxiliary Information
Spatio-Temporal Transformer Network with Physical Knowledge Distillation for Weather Forecasting
The Webspace Method: On the Integration of Database Technology with Multimedia Retrieval
Information Retrieval, Information Structure, and Information Agents
A Prerequisite Attention Model for Knowledge Proficiency Diagnosis of Students
Learning Graph-Based Geographical Latent Representation for Point-of-Interest Recommendation
Boosting Entity Recognition by leveraging Cross-task Domain Models for Weak Supervision
FABLE: Approximate Butterfly Counting in Bipartite Graph Stream with Duplicate Edges
ART (Attractive Recommendation Tailor): How the Diversity of Product Recommendations Affects Customer Purchase Preference in Fashion Industry?
Geometric Estimation of Specificity within Embedding Spaces
Contextualizing Data on a Content Management System
A Real-Time Eye Tracking Based Query Expansion Approach via Latent Topic Modeling
A Heterogeneous Conversational Recommender System for Financial Products
Termination Analysis of Active Rules Modular Sets
TianGong-ST: A New Dataset with Large-scale Refined Real-world Web Search Sessions
Local correlation detection with linearity enhancement in streaming data
Interacting Attention-gated Recurrent Networks for Recommendation
Improved Estimation of Ranks for Learning Item Recommenders with Negative Sampling
A heterogenous automatic feedback semi-supervised method for image reranking
View Materialization Techniques for Complex Hierarchical Objects
PALKA: A System for Lexical Knowledge Acquisition
OpeNTF: A Benchmark Library for Neural Team Formation
Continuous top-k query for graph streams
Translation enhancement: a new relevance feedback method for cross-language information retrieval
Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering
Coresets for Deletion-Robust k-Center Clustering
Efficient similarity search: arbitrary similarity measures, arbitrary composition
Novelty-aware Graph Traversal and Expansion for Hierarchical Reinforcement Learning
Named entity recognition using a modified Pegasos algorithm
Characterization of TPC-H queries for a column-oriented database on a dual-core amd athlon processor
SparseKmeans: Efficient K-means Clustering For Sparse Data
I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning
A Study of Main-Memory Hash Joins on Many-core Processor: A Case with Intel Knights Landing Architecture
Minipage Locking Support for Object-Oriented Page-Server DBMS
Mining noisy tagging from multi-label space
Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks
G-WSTD: a framework for geographic web search topic discovery
Exploring and analyzing documents with OLAP
Exploiting collaborative filtering techniques for automatic assessment of student free-text responses
Distributional term representations: an experimental comparison
Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA
Scaling multiple-source entity resolution using statistically efficient transfer learning
How Does the Crowd Impact the Model? A Tool for Raising Awareness of Social Bias in Crowdsourced Training Data
Search engine support for software applications
Aligning freebase with the YAGO ontology
Similarity among melodies for music information retrieval
Completing wikipedia's hyperlink structure through dimensionality reduction
Learning to handle negated language in medical records search
An examination of content farms in web search using crowdsourcing
Predicting Short-Term Public Transport Demand via Inhomogeneous Poisson Processes
A Non-Parametric Topic Model for Short Texts Incorporating Word Coherence Knowledge
EvenOddML: Even and Odd Aggregation with Multi-Level Contrastive Learning for Bipartite Graph
FAF: A Risk Detection Framework on Industry-Scale Graphs
Calibrated Conversion Rate Prediction via Knowledge Distillation under Delayed Feedback in Online Advertising
Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS)
Proceedings of the First International Workshop on Privacy and Secuirty of Big Data, PSBD@CIKM 2014, Shanghai, China, November 7, 2014
Efficient forecasting for hierarchical time series
A hybrid approach for privacy-preserving processing of knn queries in mobile database systems
Finding dense and isolated submarkets in a sponsored search spending graph
Celebrity-aware Graph Contrastive Learning Framework for Social Recommendation
Faster Algorithms for k -Regret Minimizing Sets via Monotonicity and Sampling
Query likelihood with negative query generation
Finding Similar Images Quickly Using Object Shapes
Data mining in bioinformatics: challenges and opportunities
Hyperspectral Denoising: From Conventional Techniques Towards Deep Learning Ones
Minimizing Dependence between Graphs
Investigating Online Toxicity in Users Interactions with the Mainstream Media Channels on YouTube
Time-Series Representation Learning via Dual Reference Contrasting
UMicS: from anonymized data to usable microdata
A pretopological framework for the automatic construction of lexical-semantic structures from texts
Tagging Your Tweets: A Probabilistic Modeling of Hashtag Annotation in Twitter
Influence Maximization in Multi-Relational Social Networks
ITAD: Integrative Tensor-based Anomaly Detection System for Reducing False Positives of Satellite Systems
DPT: Dynamic Preference Transfer for Cross-Domain Sequential Recommendation
Toward a model of interaction for complex search tasks
Retrieve-and-Read: Multi-task Learning of Information Retrieval and Reading Comprehension
Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis
Using Petri nets for rule termination analysis
A word-order based graph representation for relevance identification
Deep Variational Bayesian Modeling of Haze Degradation Process
Generative Recommendation with Semantic IDs: A Practitioner's Handbook
Model-based Constrained MDP for Budget Allocation in Sequential Incentive Marketing
A Dynamic Knowledge Based Approach to the Problem of Deduction in a Non-Statistical Multilevel Secure Database
"Keep it Simple, Lazy" - MetaLazy: A New MetaStrategy for Lazy Text Classification
Full-Atom Protein-Protein Interaction Prediction via Atomic Equivariant Attention Network
Pruning nested XQuery queries
Exploring online social activities for adaptive search personalization
Robustness of Sketched Linear Classifiers to Adversarial Attacks
An Effective Non-Autoregressive Model for Spoken Language Understanding
FunBase: A Function-based Information Management System
Multi-agent Transformer Networks for Multimodal Human Activity Recognition
Automatic affiliation extraction from calls-for-papers
Into the Unobservables: A Multi-range Encoder-decoder Framework for COVID-19 Prediction
Spatial Semantic-based Enhanced Address Parsing via Adaptive Weighted Learning
Extracting interesting association rules from toolbar data
Reliable Knowledge Graph Reasoning with Uncertainty Quantification
Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources
TC-DCA: a system for text classification based on document's content allocation
On the Effect of "Stupid" Search Components on User Interaction with Search Engines
Efficient provenance storage for relational queries
Run-Time Parallelization of Sequential Database Programs
RKT: Relation-Aware Self-Attention for Knowledge Tracing
Evaluating Triggers Using Decision Trees
Spatial search for K diverse-near neighbors
STL-DP: Differentially Private Time Series Exploring Decomposition and Compression Methods
Predicting web spam with HTTP session information
Early Exit Strategies for Approximate k -NN Search in Dense Retrieval
XKnowSearch!: Exploiting Knowledge Bases for Entity-based Cross-lingual Information Retrieval
Diversified query expansion using conceptnet
QPIN: A Quantum-inspired Preference Interactive Network for E-commerce Recommendation
Unified Argument Retrieval System from German News Articles Using Large Language Models
MNCM: Multi-level Network Cascades Model for Multi-Task Learning
CC-News-En: A Large English News Corpus
Linkage Attack on Skeleton-based Motion Visualization
Additive Explanations for Anomalies Detected from Multivariate Temporal Data
Automatically weighting tags in XML collection
A Review on Recent Advances in Video-based Learning Research: Video Features, Interaction, Tools, and Technologies
Multi-Representation Variational Autoencoder via Iterative Latent Attention and Implicit Differentiation
Crocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation
Space-economical partial gram indices for exact substring matching
AGATHA: Automatic Graph Mining And Transformer based Hypothesis Generation Approach
Analysis of Knowledge Transfer in Kernel Regime
Weakly Supervised Natural Language Processing Framework for Abstractive Multi-Document Summarization: Weakly Supervised Abstractive Multi-Document Summarization
Multiple Instance Learning for Uplift Modeling
Gauging Correct Relative Rankings For Similarity Search
Cascade-based Echo Chamber Detection
Adaptive load shedding for windowed stream joins
Prediction-based One-shot Dynamic Parking Pricing
A Spatial Match Representation Scheme for Indexing and Querying in Iconic Image Databases
Generating comparative summaries from reviews
Learning Probabilistic Datalog Rules for Information Classification and Transformation
Relevant Entity Selection: Knowledge Graph Bootstrapping via Zero-Shot Analogical Pruning
A fast unified optimal route query evaluation algorithm
Effective and Efficient Spectral Clustering on Text and Link Data
LC: A Flexible, Extensible Open-Source Toolkit for Model Compression
Attentive History Selection for Conversational Question Answering
Identifying comparable entities on the web
Session modeling to predict online buyer behavior
Quad-Tier Entity Fusion Contrastive Representation Learning for Knowledge Aware Recommendation System
Dynamic hyperparameter optimization for bayesian topical trend analysis
Semi-supervised Multi-Label Topic Models for Document Classification and Sentence Labeling
An Empirical Study of Embedding Features in Learning to Rank
Approximating Graph Pattern Queries Using Views
Towards Geographical Aware Neural Networks for Geospatial Vector Data: A Case Study on Land Use and Land Cover Classification
DCAP: Deep Cross Attentional Product Network for User Response Prediction
Report on the third international workshop on cloud datamanagement (CloudDB 2011)
Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation
Relational computation for mining association rules from XML data
Information Diffusion Prediction Based on User Multi-Dimensional Feature Interaction
Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks
Viability of in-house datamarting approaches for population genetics analysis of snp genotypes
AutoQGS: Auto-Prompt for Low-Resource Knowledge-based Question Generation from SPARQL
Disseminating Synthetic Smart Home Data for Advanced Applications
Structure-based querying of proteins using wavelets
Generative AI and the Future of Information Access
Data Locality in Graph Engines: Implications and Preliminary Experimental Results
Bridging offline and online social graph dynamics
Co-clustering Document-term Matrices by Direct Maximization of Graph Modularity
Weakly-supervised relation classification for information extraction
Missing Interest Modeling with Lifelong User Behavior Data for Retrieval Recommendation
Intelligently querying incomplete instances for improving classification performance
Towards Effective and Interpretable Person-Job Fitting
United we fall, divided we stand: a study of query segmentation and prf for patent prior art search
Associative Classification with Statistically Significant Positive and Negative Rules
GaQR: An Efficient Generation-augmented Question Rewriter
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search
Online Exploration for Detecting Shifts in Fresh Intent
InstANNS: Scalable Approximate Nearest Neighbor Search via Cost-Efficient In-Storage Processing
Learning query-biased web page summarization
Studying the Dark Triad of Personality through Twitter Behavior
CLUES: a unified framework supporting interactive exploration of density-based clusters in streams
PRODIGY: Product Design Guidance at Scale
Detecting periodic changes in search intentions in a search engine
Evaluation of phrasal query suggestions
Revisit Orthogonality in Graph-Regularized MLPs
LGP: Few-Shot Class-Evolutionary Learning on Dynamic Graphs
A Classification Algorithm for Supporting Object-Oriented Views
Taming Social Bots: Detection, Exploration and Measurement
Tree Decomposed Graph Neural Network
A Fragment-Based Similarity Measure for Concept Hierarchies and Ontologies
Privacy Preserving Approximate K-means Clustering
Knowing where and how criminal organizations operate using web content
Latent feature encoding using dyadic and relational data
Yet another write-optimized DBMS layer for flash-based solid state storage
Lonomics Atlas: a tool to explore interconnected ionomic, genomic and environmental data
Constructing evolutionary taxonomy of collaborative tagging systems
Measuring Friendship Closeness: A Perspective of Social Identity Theory
Explainable and Personalized Privacy Prediction
Beyond relevance in marketplace search