yusuke1997/dblp-id-title huggingface dataset:
Features of documents relevant to task- and fact-oriented questions
Detecting reviewer bias through web-based association mining
CoRankBayes: bayesian learning to rank under the co-training framework and its application in keyphrase extraction
Describing differences between databases
Learning Visibility Attention Graph Representation for Time Series Forecasting
Incremental stock time series data delivery and visualization
On the feasibility of multi-site web search engines
Semantic annotation: what about quality?
Context-Aware Ranking by Constructing a Virtual Environment for Reinforcement Learning
The impact of document structure on keyphrase extraction
RISE: A Velocity Control Framework with Minimal Impacts based on Reinforcement Learning
A Methodology Based on Deep Q-Learning/Genetic Algorithms for Optimizing COVID-19 Pandemic Government Actions
Inferring Context from Pixels for Multimodal Image Classification
Climber: Toward Efficient Scaling Laws for Large Recommendation Models
Decentralized Graph Neural Network for Privacy-Preserving Recommendation
Processing search queries in a distributed environment
SPOT: Knowledge-Enhanced Language Representations for Information Extraction
DSAC: integrity for outsourced databases with signature aggregation and chaining
TraVis: An Interactive Visualization System for Mining Inbound Traveler Activities by Leveraging Mobile Ad Request Data
Dyadic Memory Networks for Aspect-based Sentiment Analysis
Efficient and effective link analysis with precomputed salsa maps
Archiving Telemeetings
Efficient pruning algorithm for top-K ranking on dataset with value uncertainty
Low-cost management of inverted files for online full-text search
TwinBERT: Distilling Knowledge to Twin-Structured Compressed BERT Models for Large-Scale Retrieval
WDRASS: A Web-scale Dataset for Document Retrieval and Answer Sentence Selection
Experiences with using SVM-based learning for multi-objective ranking
Professional credibility: authority on the web
Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents
Discretization based learning approach to information retrieval
Creating software models with semantic annotation
Words are Malleable: Computing Semantic Shifts in Political and Media Discourse
Approximating Gradient-Based Influence for Scalable Instruction Data Selection
6th International Workshop on News Recommendation and Analytics (INRA 2018)
Inductive Knowledge Graph Embedding via Exploring Interaction Patterns of Relations
MArBLE: Hierarchical Multi-Armed Bandits for Human-in-the-Loop Set Expansion
Proceedings of the Second International Workshop on Data Science for Macro-Modeling, DSMM@SIGMOD 2016, San Francisco, CA, USA, June 26 - July 1, 2016
Structural features in content oriented XML retrieval
Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs
Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need
EsdRank: Connecting Query and Documents through External Semi-Structured Data
Efficient Spatio-temporal Weather Forecasting Using U-Net
A task level metric for measuring web search satisfaction and its application on improving relevance estimation
Learning Knowledge Embeddings by Combining Limit-based Scoring Loss
Heterogeneous Graph Attention Network for Drug-Target Interaction Prediction
Dare to Compare: Motivating Expertise Building in the Enterprise through Intelligent User Modeling Interfaces
Personalized Flight Itinerary Ranking at Fliggy
Reaction times for user behavior models in microblogging online social networks
Document Prioritization for Scalable Query Processing
Semi-supervised multi-task learning of structured prediction models for web information extraction
Privacy preservation by independent component analysis and variance control
A structure-oriented relevance feedback method for XML retrieval
Identifying table boundaries in digital documents via sparse line detection
ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation
NeuPL: Attention-based Semantic Matching and Pair-Linking for Entity Disambiguation
Subsampled Randomized Hadamard Transform for Regression of Dynamic Graphs
FinSage: A Multi-aspect RAG System for Financial Filings Question Answering
Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting
Prefix-Querying: An Approach for Effective Subsequence Matching Under Time Warping in Sequence Databases
Deep Contrastive Multiview Network Embedding
Toward traffic-driven location-based web search
MENTA: inducing multilingual taxonomies from wikipedia
Temporal Granularity for Unanchored Temporal Data
Caching Scores for Faster Query Processing with Dynamic Pruning in Search Engines
An Improved Collaborative Filtering Algorithm Combining User Activity Level
Visualization of Zoomable Network for Multi-Compounds and Multi-Targets Analysis
Dimension Relation Modeling for Click-Through Rate Prediction
Too Many Claims to Fact-Check: Prioritizing Political Claims Based on Check-Worthiness
Online Learning of Volatility from Multiple Option Term Lengths
From Unstructured Text to TextCube: Automated Construction and Multidimensional Exploration
Rule-based whole body modeling for analyzing multi-compound effects
Connecting the local and the online in information management
Towards a SOA infrastructure for statistically analysing public health data
Towards Robust & Reusable Evaluation for Novelty & Diversity
Two birds with one stone: learning semantic models for text categorization and word sense disambiguation
Knowledge Graph Embedding Preserving Soft Logical Regularity
Analyzing Mathematical Content to Detect Academic Plagiarism
A volcano erupts: semantically mediated integration of heterogeneous volcanic and atmospheric data
Knowledge Mining from Textual Sources
A Flexible Text Mining System for Entity and Relation Extraction in PubMed
Authormagic: an approach to author disambiguation in large-scale digital libraries
Breaking the Bottleneck on Graphs with Structured State Spaces
Efficient on-line index maintenance for dynamic text collections by using dynamic balancing tree
Nonlinear static-rank computation
A Dynamic Reconstruction Approach to Topic Summarization of User-Generated-Content
Improving retrieval accuracy of difficult queries through generalizing negative document language models
Effective keyword search for valuable lcas over xml documents
Multi-Dueling Bandits and Their Application to Online Ranker Evaluation
Prompt Distillation for Efficient LLM-based Recommendation
Unsupervised learning for reranking-based patent retrieval
Imbalanced Time Series Classification for Flight Data Analyzing with Nonlinear Granger Causality Learning
AutoRuleSQL: Hybrid Text-to-SQL via Rule-Driven Fast Paths and LLM Bootstrapping
Multi-view clustering with constraint propagation for learning with an incomplete mapping between views
Patent image retrieval: a survey
"Reasoning before Responding": Towards Legal Long-form Question Answering with Interpretability
Logarithmic Dimension Reduction for Quantum Neural Networks
Collaborative ranking: improving the relevance for tail queries
When Facts Expire: Benchmarking Temporal Validity in Knowledge Graphs
A study of the knowledge base requirements for passing an elementary science test
Invariant Treatment Effect Estimation via Consistent Constraints and Information Bottleneck
EXIT: An EXplicit Interest Transfer Framework for Cross-Domain Recommendation
FAIR Data Assessment Using LLMs: The Fair-Way
Few-Shot Learning via Task-Aware Discriminant Local Descriptors Network
Hierarchical subtopic mining for topic annotation
Active Entity Recognition in Low Resource Settings
How Powerful is Graph Convolution for Recommendation?
Query matching for report recommendation
Dual Denoising Diffusion Model for Session-based Social Recommendation
A Formal Model for the Simulation and Analysis of Early Biofilm Formation
Topic-driven reader comments summarization
Student Can Also be a Good Teacher: Extracting Knowledge from Vision-and-Language Model for Cross-Modal Retrieval
Item categorization in the e-commerce domain
INK: A Cloud-Based System for Efficient Top-k Interval Keyword Search
Ready for Use: Subject-Independent Movement Intention Recognition via a Convolutional Attention Model
ClimBurst: A Dynamic Visualization Tool to Display Climatological Anomalies over Time and Space
Deep Colorization by Variation
Embedding Node Structural Role Identity Using Stress Majorization
Managing interoperability and compleXity in health systems - MIXHS'12
Recommender System Using Sequential and Global Preference via Attention Mechanism and Topic Modeling
CARS2: Learning Context-aware Representations for Context-aware Recommendations
Cultural Commonsense Knowledge for Intercultural Dialogues
On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval
A robust index for regular expression queries
Tapping on the potential of q&a community by recommending answer providers
Reinforcement Feature Transformation for Polymer Property Performance Prediction
Learning to blend rankings: a monotonic transformation to blend rankings from heterogeneous domains
Realtime Object Detection via Deep Learning-based Pipelines
Multi-Task Neural Network for Non-discrete Attribute Prediction in Knowledge Graphs
DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection
Using games with a purpose and bootstrapping to create domain-specific sentiment lexicons
More Accurate Question Answering on Freebase
E-discovery
Computing block importance for searching on web sites
Object-Oriented Database Design Methodologies: A Survey
Towards Coarse-grained Visual Language Navigation Task Planning Enhanced by Event Knowledge Graph
Name Disambiguation in Anonymized Graphs using Network Embedding
Knowledge-based Question Answering by Jointly Generating, Copying and Paraphrasing
Synergizing Local and Global Models for Matrix Approximation
Enhancing Multimodal Entity Linking via Distillation and Multimodal Large Language Models
Network growth and the spectral evolution model
Samba: Identifying Inappropriate Videos for Young Children on YouTube
Is This News Still Interesting to You?: Lifetime-aware Interest Matching for News Recommendation
A structured approach to query recommendation with social annotation data
Schema-Agnostic Entity Matching using Pre-trained Language Models
Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks
Automatic query expansion based on tag recommendation
Possibility and necessity measures for relevance assessment
Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models
Universal schema for entity type prediction
You Are How You Use: Catching Gas Theft Suspects among Diverse Restaurant Users
Efficient Sequential and Parallel Algorithms for Estimating Higher Order Spectra
Improving pseudo-relevance feedback via tweet selection
On Structural Health Monitoring Using Tensor Analysis and Support Vector Machine with Artificial Negative Data
Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs
Zero-shot Knowledge Graph Question Generation via Multi-agent LLMs and Small Models Synthesis
RHist: adaptive summarization over continuous data streams
Sequence-Driven Analytics and Prediction
A Self-Supervised Mixture-of-Experts Framework for Multi-behavior Recommendation
Understanding the types of information humans associate with geographic objects
Feedback-driven multiclass active learning for data streams
Facilitating Transformations in a Human Genome Project Database
Incorporating Clicks, Attention and Satisfaction into a Search Engine Result Page Evaluation Model
Detecting collusive spammers in online review communities
Rewriting of visibly pushdown languages for xml data integration
Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning
A Probabilistic Framework for Temporal User Modeling on Microblogs
CIKM 2019 Workshop on Artificial Intelligence in Transportation (AI in transportation)
A new mathematics retrieval system
GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale
Dual Autoencoder Network with Swap Reconstruction for Cold-Start Recommendation
Recurrent Spatio-Temporal Point Process for Check-in Time Prediction
An Access Control Model for Video Database Systems
Pareto-optimal Community Search on Large Bipartite Graphs
Building Next Best Action Engines for B2C and B2B Use Cases
Efficient Pruned Top-K Subgraph Matching with Topology-Aware Bounds
Leveraging semantic technologies for enterprise search
An Enhanced Topic Modeling Approach to Multiple Stance Identification
An Automatic Techniques for Detecting Type Conflicts in Database Schemes
Feature Enhancement via User Similarities Networks for Improved Click Prediction in Yahoo Gemini Native
Give Me Some SALT: Structure-Aware Link Modeling for Temporal Weighted Link Prediction
MagicCube: choosing the best snippet for each aspect of an entity
Learning to rank duplicate bug reports
Practical and Robust Safety Guarantees for Advanced Counterfactual Learning to Rank
LiteGT: Efficient and Lightweight Graph Transformers
T-Retrievability: A Topic-Focused Approach to Measure Fair Document Exposure in Information Retrieval
Learning to rank for question routing in community question answering
Text mining in genomics and systems biology
Object Identity and Dimension Alignment in Parametric Databases
Web Page Segmentation Revisited: Evaluation Framework and Dataset
Learning the distance metric in a personal ontology
Inferring Probabilistic Contagion Models Over Networks Using Active Queries
Impact of Document Representation on Neural Ad hoc Retrieval
Error-Bounded Graph Anomaly Loss for GNNs
Using appraisal groups for sentiment analysis
C-Cast: A Real-Time Forecasting Model for a Controlled Sequence
Managing IFC for civil engineering projects
Finding the silver lining for data freshness on the cloud: [extended abstract]
Ntjfsatnot: a novel method for query with not-predicates on xml data
Towards Named-Entity-based Similarity Measures: Challenges and Opportunities
Probabilistic Skyline on Incomplete Data
Analysis and Design of Server Informative WWW-Sites
Dynamic extraction topic descriptors and discriminators: towards automatic context-based topic search
The framework of a people recommender based on a time series of user preferences
Mixed data k -Anonymization by Consistent Maximal Association and Microaggregation
Privacy-Preserving Collaborative Deep Learning with Application to Human Activity Recognition
Building Safer Sites: A Large-Scale Multi-Level Dataset for Construction Safety Benchmark
Vulnerabilities in similarity search based systems
Using Encyclopedic Knowledge to Understand Queries
On VR Spatial Query for Dual Entangled Worlds
Learning the Co-evolution Process on Live Stream Platforms with Dual Self-attention for Next-topic Recommendations
In search of meaning for time series subsequence clustering: matching algorithms based on a new distance measure
Privacy-preserving data publishing for horizontally partitioned databases
An unsupervised ranking method based on a technical difficulty terrain
Learning to Effectively Estimate the Travel Time for Fastest Route Recommendation
Query-Specific Knowledge Summarization with Entity Evolutionary Networks
Proceedings of the 3rd International Workshop on Patent Information Retrieval, PaIR '10, Toronto, ON, Canada, October 26, 2010
TANDEM: Temporal Attention-guided Neural Differential Equations for Missingness in Time Series Classification
Dynamic in-page logging for flash-aware B-tree index
Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification
Scientific articles recommendation
Combining labeled and unlabeled data with word-class distribution learning
Diversifying Search Results using Self-Attention Network
MOSS: AI Platform for Discovery of Corrosion-Resistant Materials
Notation-based Semantification
Peptide programs: applying fragment programs to protein classification
Interpretable and Robust Face Verification
Enhancing User Interest Modeling with Knowledge-Enriched Itemsets for Sequential Recommendation
Retrieving and ranking unannotated images through collaboratively mining online search results
SPIDER: a system for scalable, parallel / distributed evaluation of large-scale RDF data
Mining semantic distance between corpus terms
An effective statistical approach to blog post opinion retrieval
Visualizing Document Authorship Using n-grams and Latent Semantic Indexing
Proceedings of the third workshop on Exploiting Semantic Annotations in Information Retrieval, ESAIR 2010, Toronto, Ontario, Canada, October 30, 2010
EasyGML: A Fully-functional and Easy-to-use Platform for Industrial Graph Machine Learning
Asymmetrical Context-aware Modulation for Collaborative Filtering Recommendation
SSH-T 3 : A Hierarchical Pre-training Framework for Multi-Scenario Financial Risk Assessment
Robust Semi-supervised Domain Adaptation against Noisy Labels
Billion-user Customer Lifetime Value Prediction: An Industrial-scale Solution from Kuaishou
Ready for Prime Time: Pre-Generation of Web Pages in TIScover
Query expansion using term relationships in language models for information retrieval
DuIVRS: A Telephonic Interactive Voice Response System for Large-Scale POI Attribute Acquisition at Baidu Maps
Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering
Efficient Static and Dynamic In-Database Tensor Decompositions on Chunk-Based Array Stores
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics
Combining multi-level evidence for medical record retrieval
Duer: Intelligent Personal Assistant
Querying Minimal Steiner Maximum-Connected Subgraphs in Large Graphs
Efficient computation of impact degrees for multiple reactions in metabolic networks with cycles
Routing of structured queries in large-scale distributed systems
Financial Entity Identification and Information Integration (FEIII) Challenge: The Report of the Organizing Committee
STARDOM: Semantic Aware Deep Hierarchical Forecasting Model for Search Traffic Prediction
WAM-Miner: in the search of web access motifs from historical web log data
Astrolabe: Visual Graph Database Queries with Tabular Output
Vector and matrix operations programmed with UDFs in a relational DBMS
Efficient multi-word expressions extractor using suffix arrays and related structures
Scalable Multiple Kernel k -means Clustering
Spark-parSketch: A Massively Distributed Indexing of Time Series Datasets
A Practical Distributed ADMM Solver for Billion-Scale Generalized Assignment Problems
An Efficient Content-based Time Series Retrieval System
A Comparison of Regression, Neural Net, and Pattern Recognition Approaches to IR
GenR1-Searcher: Curriculum Reinforcement Learning for Dynamic Retrieval and Document Generation
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
Advancing Misinformation Awareness in Recommender Systems for Social Media Information Integrity
MoTTo: Scalable Motif Counting with Time-aware Topology Constraint for Large-scale Temporal Graphs
Scalable Neural Contextual Bandit for Recommender Systems
Exploiting Structural and Temporal Evolution in Dynamic Link Prediction
Disk-based Matrix Completion for Memory Limited Devices
SUMMA: A Multimodal Large Language Model for Advertisement Summarization
Maximizing the sustained throughput of distributed continuous queries
Calibrating on Kolmogorov-Arnold Network
CXSimulator: A User Behavior Simulation using LLM Embeddings for Web-Marketing Campaign Assessment
Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge Concepts
Schema extraction
Building Trustworthy Peer Review Quality Assessment Systems
Efficient and Robust Regularized Federated Recommendation
Mining blog stories using community-based and temporal clustering
On scalable information retrieval systems
Yizkor books: a voice for the silent past
An Interactive Neural Network Approach to Keyphrase Extraction in Talent Recruitment
Fairness-Aware Training of Decision Trees by Abstract Interpretation
Mining data streams with periodically changing distributions
Efficient Exact Minimum k-Core Search in Real-World Graphs
Maneno Yetu: Dynamic Corpus Construction and Pretraining for Swahili NLP
A hierarchical approach to reachability query answering in very large graph databases
Intelligent Query Answering in Deductive and Object-Oriented Databases
Accelerometer-based Activity Recognition on Smartphone
Learning click models via probit bayesian inference
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks
STGS: Spatio-temporal Graph Sparsification Using Reinforcement Learning
Assorted Attention Network for Cross-Lingual Language-to-Vision Retrieval
Hierarchical Structure Construction on Hypergraphs
DDE-CLIP: Detail-Guided Dual-Modal Enhancement for Zero-Shot Anomaly Detection
Understanding the Sparsity: Augmented Matrix Factorization with Sampled Constraints on Unobservables
Towards Speech as a Knowledge Resource
A Fast Trajectory Outlier Detection Approach via Driving Behavior Modeling
Shortcomings of Interpretability Taxonomies for Deep Neural Networks
DIRT: Deep Learning Enhanced Item Response Theory for Cognitive Diagnosis
The Impact of Negative Triple Generation Strategies and Anomalies on Knowledge Graph Completion
Discovering Context in a Conceptual Schema
Perceptual and Interpretative Properties of Motion for Information Visualization
Improving Personality Consistency in Conversation by Persona Extending
Segment Augmentation and Prediction Consistency Neural Network for Multi-label Unknown Intent Detection
Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features
People Search within an Online Social Network: Large Scale Analysis of Facebook Graph Search Query Logs
PathLens: Structurally Enhancing Heterophilic Graphs for GNNs
Timely crawling of high-quality ephemeral new content
Interpretable MTL from Heterogeneous Domains using Boosted Tree
A Mixed-Curvature Graph Diffusion Model
Data/Feature Distributed Stochastic Coordinate Descent for Logistic Regression
Multimodal Clustering via Deep Commonness and Uniqueness Mining
Re-ranking Web Search Results for Better Fact-Checking: A Preliminary Study
Learning Belief Networks from Data: An Information Theory Based Approach
PodCred: a framework for analyzing podcast preference
Text segmentation via topic modeling: an analytical study
Patent claim decomposition for improved information extraction
MPFormer: Adaptive Framework for Industrial Multi-Task Personalized Sequential Retriever
Flexible and dynamic compromises for effective recommendations
Faciliating Knowledge Flow through the Enterprise
Query Embedding Pruning for Dense Retrieval
Efficient and Effective Metasearch for a Large Number of Text Databases
Querying Future Telecommunication Networks
Cross-Modal Similarity Learning: A Low Rank Bilinear Formulation
ClusterMap: labeling clusters in large datasets via visualization
A Spatio-Temporal Diffusion Model for Missing and Real-Time Financial Data Inference
UI-FAME: A High-Performance Forgetting System for Creating Views of Ontologies
Ordering Selection Operators Under Partial Ignorance
The link prediction problem for social networks
Predicting event-relatedness of popular queries
A Network-embedding Based Method for Author Disambiguation
POOLSIDE: An Online Probabilistic Knowledge Base for Shopping Decision Support
Robust User Behavioral Sequence Representation via Multi-scale Stochastic Distribution Prediction
Author Set Identification via Quasi-Clique Discovery
Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation
On Transforming Relevance Scales
Two-tier similarity model for story link detection
Evaluating continuous nearest neighbor queries for streaming time series via pre-fetching
Probabilistic macro behavioral targeting
Efficient Neural Query Auto Completion
Efficient Knowledge Graph Unlearning with Zeroth-order Information
Tweet Geolocation: Leveraging Location, User and Peer Signals
Lightweight Self-Attentive Sequential Recommendation