yusuke1997/dblp-id-title huggingface dataset:
Agents, Simulated Users and Humans: An Analysis of Performance and Behaviour
Index structures and top-k join algorithms for native keyword search databases
Classification of Important Segments in Educational Videos using Multimodal Features
An effective model of using negative relevance feedback for information filtering
Retrieval experiments using pseudo-desktop collections
CoSaR: Combating Label Noise Using Collaborative Sample Selection and Adversarial Regularization
Conceptual Analysis of Hypertext
A framework for safely publishing communication traces
Social book search: comparing topical relevance judgements and book suggestions for evaluation
Automatic Navbox Generation by Interpretable Clustering over Linked Entities
Using Crowdsourcing to Investigate Perception of Narrative Similarity
Efficient synchronization for mobile XML data
Multiversion Divergence Control of Time Fuzziness
Learning to rank results in relational keyword search
PTM-Mamba: A PTM-Aware Protein Language Model with Bidirectional Gated Mamba Blocks
KQML As An Agent Communication Language
An Inference Approach to Basic Level of Categorization
"GeoPlot": spatial data mining on video libraries
Fast and Accurate Network Embeddings via Very Sparse Random Projection
Impact neighborhood indexing (INI) in diffusion graphs
Block Addressing Indices for Approximate Text Retrieval
Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction
Network Alignment: Recent Advances and Future Directions
Does Adversarial Oversampling Help us?
Masked-field Pre-training for User Intent Prediction
MHSNet: An MoE-based Hierarchical Semantic Representation Network for Accurate Duplicate Resume Detection with Large Language Model
Modeling User Intent Beyond Trigger: Incorporating Uncertainty for Trigger-Induced Recommendation
UCUI'15: The 1st International Workshop on Understanding the City with Urban Informatics
Integral based source selection for uncooperative distributed information retrieval environments
Large Model Annotation-Enhanced Spatio-Temporal Fusion Knowledge Tracing Model
An Effective Question Expanding Method for Question Classification in cQA services
i-SEE: integrated stream execution environment over on-line data streams
A light weighted damage tracking quarantine and recovery scheme for mission-critical database systems
Network-Efficient Distributed Word2vec Training System for Large Vocabularies
MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction
STIR: Siamese Transformer for Image Retrieval Postprocessing
Conceptualizing documents with Wikipedia
TICC: Transparent Inter-Column Compression for Column-Oriented Database Systems
Finding Probabilistic k-Skyline Sets on Uncertain Data
Parallel Skyline Processing Using Space Pruning on GPU
Revolutionizing Biomarker Discovery: Leveraging Generative AI for Bio-Knowledge-Embedded Continuous Space Exploration
Latent topics in graph-structured data
Speech user interfaces for information retrieval
ESAIR'13, Proceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval, co-located with CIKM 2013, San Francisco, CA, USA, October 28, 2013
Estimating Topic Difficulty Using Normalized Discounted Cumulated Gain
Defining imprecise regions using the web
Spatiotemporal-Enhanced Network for Click-Through Rate Prediction in Location-based Services
Multi-Hot Compact Network Embedding
When close enough is good enough: approximate positional indexes for efficient ranked retrieval
JointSem: Combining Query Entity Linking and Entity based Document Ranking
Computational community interest for ranking
AQUAPLANE: The Argument Quality Explainer App
On Heavy-user Bias in A/B Testing
DivNet: Diversity-Aware Self-Correcting Sequential Recommendation Networks
Improving Web Image Search with Contextual Information
Leveraging a scalable row store to build a distributed text index
Constrained Question Recommendation in MOOCs via Submodularity
The nautilus analyzer: understanding and debugging data transformations
Prognostic Factor Analysis for Breast Cancer Using Gene Expression Profiles
The efficient imputation method for neighborhood-based collaborative filtering
Automatically generating descriptions for resources by tag modeling
A Toggle Transaction Management Technique for Mobile Multidatabases
Efficient jaccard-based diversity analysis of large document collections
An Empirical Analysis of Pruning Techniques: Performance, Retrievability and Bias
Query execution timing: taming real-time anytime queries on multicore processors
Smart Infrastructure Maintenance Using Incremental Tensor Analysis: Extended Abstract
Developing InfoSleuth Agents Using Rosette: An Actor Based Language
Clustering-property Matters: A Cluster-aware Network for Large Scale Multivariate Time Series Forecasting
RelSen: An Optimization-based Framework for Simultaneously Sensor Reliability Monitoring and Data Cleaning
Lerot: an online learning to rank framework
Quality factory and quality notification service in data warehouse
Trust relationship prediction using online product review data
XML, the WEB and Database Functionality?
MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning
Follow the Will of the Market: A Context-Informed Drift-Aware Method for Stock Prediction
State-Aware Meta-Evaluation of Evaluation Metrics in Interactive Information Retrieval
Networks, communities and kronecker products
MixBERT for Image-Ad Relevance Scoring in Advertising
Collaborative Fraud Detection on Large Scale Graph Using Secure Multi-Party Computation
Reusing relational sources for semantic information access
Interactive Variance Attention based Online Spoiler Detection for Time-Sync Comments
Effect of Intent Descriptions on Retrieval Evaluation
Multi-objective Privacy-preserving Text Representation Learning
Efficient wikipedia-based semantic interpreter by exploiting top-k processing
TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories
Assessing the Continuous Causal Responses of Typhoon-related Weather on Human Mobility: An Empirical Study in Japan
Deep Metric Learning Based on Rank-sensitive Optimization of Top-k Precision
Mining Confident Rules Without Support Requirement
Where to Place Your Next Restaurant?: Optimal Restaurant Placement via Leveraging User-Generated Reviews
Adapting association patterns for text categorization: weaknesses and enhancements
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN
Management of Disk Space with REBATE
Modeling Student Learning Styles in MOOCs
A Deep Neural Framework for Sales Forecasting in E-Commerce
AutoMARS: Searching to Compress Multi-Modality Recommendation Systems
Enabling multi-level relevance feedback on pubmed by integrating rank learning into DBMS
Deep Match between Geology Reports and Well Logs Using Spatial Information
DiaKoP: Dialogue-based Knowledge-oriented Programming for Neural-symbolic Knowledge Base Question Answering
Toward a Better Understanding of Loss Functions for Collaborative Filtering
Representing interests as a hyperlinked document collection
Interactive relevance feedback with graded relevance and sentence extraction: simulated user experiments
Selectivity Estimation of Window Queries
Towards a framework for attribute retrieval
A Supervised BERT Model for Identifying Core-Intent Bearing Phrases in e-Commerce Queries
Modelling Regional Crime Risk using Directed Graph of Check-ins
Label Propagation with Neural Networks
Exploratory search over social-medical data
Regularized locality preserving indexing via spectral regression
EPA: Exoneration and Prominence based Age for Infection Source Identification
Self-Supervised Learning based on Sentiment Analysis with Word Weight Calculation
LinkedIn Post Embeddings: Industrial Scale Embedding Generation and Usage across LinkedIn
All about Sample-Size Calculations for A/B Testing: Novel Extensions & Practical Guide
ALDF: An Adaptive Logical Decision Framework for Multimodal Named Entity Recognition
Exploiting Knowledge Structure for Proximity-aware Movie Retrieval Model
Progressive skyline query evaluation and maintenance in wireless sensor networks
Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning
Behavioral situations and active database systems
Recommendations using linked data
Hybrid BiLSTM-Siamese network for FAQ Assistance
STREAMER: A Powerful Framework for Continuous Learning in Data Streams
Diversifying Top-k Point-of-Interest Queries via Collective Social Reach
Personalized Image Aesthetics Assessment
Inclusion Dependency Discovery: An Experimental Evaluation of Thirteen Algorithms
DiffUFlow: Robust Fine-grained Urban Flow Inference with Denoising Diffusion Model
FlaCGEC: A Chinese Grammatical Error Correction Dataset with Fine-grained Linguistic Annotation
Knowledge-Enhanced Multi-Label Few-Shot Product Attribute-Value Extraction
Aspect-based sentence segmentation for sentiment summarization
KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging
TRIPS and TIDES: new algorithms for tree mining
Evaluating Stochastic Rankings with Expected Exposure
STREAMER 3.0: Towards Online Monitoring and Distributed Learning
The real-time nature and value of homeland security information
Multimodal Contrastive Learning with Early Fusion for Robust Medical Signal Representation
Bringing Salary Transparency to the World: Computing Robust Compensation Insights via LinkedIn Salary
On the Update of Term Weights in Dynamic Information Retrieval Systems
Pseudo-Relevance Feedback Based on Matrix Factorization
An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models
Automatic online news topic ranking using media focus and user attention based on aging theory
TSA'09 workshop summary: topic-sentiment analysis
Homogeneous Cohort-Aware Group Cognitive Diagnosis: A Multi-grained Modeling Perspective
SemFacet: Making Hard Faceted Search Easier
Risk-Aware Bid Optimization for Online Display Advertisement
A Cost-Effective Framework to Evaluate LLM-Generated Relevance Judgements
On Predicting Deletions of Microblog Posts
DTMBIO workshop summary
Linking Deutsche Bundesbank Company Data using Machine-Learning-Based Classification: Extended Abstract
Learning to detect task boundaries of query session
CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks
Long-Term Hydrologic Time Series Prediction with LSPM
Pinteresting: towards a better understanding of user interests
Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction
Max margin learning on domain-independent web information extraction
The Healing Power of Poison: Helpful Non-relevant Documents in Feedback
Leveraging related entities for knowledge base acceleration
MedSEBA: Synthesizing Evidence-Based Answers Grounded in Evolving Medical Literature
AudiBERT: A Deep Transfer Learning Multimodal Classification Framework for Depression Screening
Optimizing Ad Allocation in Social Advertising
The status of retrieval evaluation in the patent domain
WorldKG: A World-Scale Geographic Knowledge Graph
A Unified Generation-Retrieval Framework for Image Captioning
Music2P: A Multi-Modal AI-Driven Tool for Simplifying Album Cover Design
SRbench-a benchmark for soundtrack recommendation systems
Towards Rich Qery Blockchain Database
Trust Between Users and Their Intelligent Agents
Predicting Instance Type Assertions in Knowledge Graphs Using Stochastic Neural Networks
Opinion classification with tree kernel SVM using linguistic modality analysis
Detecting Parkinson's Disease from Interactions with a Search Engine: Is Expert Knowledge Sufficient?
Determining Subjective Bias in Text through Linguistically Informed Transformer based Multi-Task Network
Online Activation Value-aware Clustering and Aggregation for Faithful Argumentative Explanations
Will your facebook post be engaging?
Regularizing translation models for better automatic image annotation
Experiments with English-Persian text retrieval
Query selection for improved Greek web searches
PSNE: Efficient Spectral Sparsification Algorithms for Scaling Network Embedding
Notes Explorer: Entity-Based Retrieval in Shared, Semi-Structured Information Spaces
LINKin-PARK: Land Valuation Information and Knowledge in Predictive Analysis and Reporting Kit via Dual Attention-DCCNN
OpenHGNN: An Open Source Toolkit for Heterogeneous Graph Neural Network
LiFT: A Scalable Framework for Measuring Fairness in ML Applications
A Temporal Attentional Model for Rumor Stance Classification
ESTHETE: a news browsing system to visualize the context and evolution of news stories
Generating advertising keywords from video content
Combining Topic Models for Corpus Exploration: Applying LDA for Complex Corpus Research Tasks in a Digital Humanities Project
Hybrid tag recommendation for social annotation systems
Robust Graph Clustering via Meta Weighting for Noisy Graphs
Exploiting Game Theoretic Analysis for Link Recommendation in Social Networks
Hashcube: A Data Structure for Space- and Query-Efficient Skycube Compression
Fusing Global Domain Information and Local Semantic Information to Classify Financial Documents
Luhn Revisited: Significant Words Language Models
Still Haven't Found What I'm Looking For: Suggestions for Next Generation Search User Interfaces
Usage based effectiveness measures: monitoring application performance in information retrieval
A Hierarchical User Behavior Modeling Framework for Cross-Domain Click-Through Rate Prediction
Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search
A conceptual modeling and execution framework for process based scientific applications
Sharing knowledge across language barriers: a universal approach for online books
Characterizing and predicting search engine switching behavior
Generalizing Translation Models in the Probabilistic Relevance Framework
Out-of-context noun phrase semantic interpretation with cross-linguistic evidence
A tensor encoding model for semantic processing
Learning Adaptive Display Exposure for Real-Time Advertising
Interest Diffusion in Heterogeneous Information Network for Personalized Item Ranking
The Fourth International Workshop on Social Web for Disaster Management (SWDM 2016)
Building efficient multi-threaded search nodes
Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation
TEG: a hybrid approach to information extraction
Zero-shot Stroke Lesion Segmentation via CAM-guided Prompting of MedSAM2
CLUE: Using Large Language Models for Judging Document Usefulness in Web Search Evaluation
(k, P)-anonymity: towards pattern-preserving anonymity of time-series data
Topological analysis of an online social network for older adults
Motion adaptive indexing for moving continual queries over moving objects
DIFN: A Dual Intention-aware Network for Repurchase Recommendation with Hierarchical Spatio-temporal Fusion
Augmenting web search surrogates with images
A Visual Tool for Structuring and Modeling Organizational Memories
DORA THE EXPLORER: Exploring Very Large Data With Interactive Deep Reinforcement Learning
QSAN: A Quantum-probability based Signed Attention Network for Explainable False Information Detection
SEDAR: A Semantic Data Reservoir for Heterogeneous Datasets
Word sense disambiguation in queries
Caching Constrained Mobile Data
Enterprise Knowledge Graph From Specific Business Task to Enterprise Knowledge Management
Generative AI and Retrieval-Augmented Generation (RAG) Systems for Enterprise
No Query Left Behind: Query Refinement via Backtranslation
Top-down keyword query processing on XML data
From Copernicus Big Data to Big Information and Big Knowledge: A Demo from the Copernicus App Lab Project
The crucial role of semantic discovery and markup in geo-temporal search
Intelligent GP fusion from multiple sources for text classification
Robust question answering over the web of linked data
Proceeding of the 2nd International Workshop on Data and Text Mining in Bioinformatics, DTMBIO 2008, Napa Valley, California, USA, October 30, 2008
CRUX: Crowdsourced Materials Science Resource and Workflow Exploration
CONDOR: A System for CONstraint DiscOvery and Repair
OptMark: A Toolkit for Benchmarking Query Optimizers
Cooperative caching by mobile clients in push-based information systems
Structural-fitting Word Vectors to Linguistic Ontology for Semantic Relatedness Measurement
Proceedings of the Sixth International Conference on Information and Knowledge Management (CIKM'97), Las Vegas, Nevada, USA, November 10-14, 1997
Intelligent Agents in Software Reuse Repositories
Towards High-Precision and Reusable Entity Resolution Algorithms over Sparse Financial Datasets
Machine Learning Methods for Detecting Fraud in Online Marketplaces
Exploiting user knowledge during retrieval of semantically annotated API operations
Enhanced Story Representation by ConceptNet for Predicting Story Endings
Deep Multi-Interest Network for Click-through Rate Prediction
LLM-Powered Information Extraction for the Dairy Financial Domain: Tackling Data Scarcity and Ambiguity
Partially Labeled Data Tuple Can Optimize Multivariate Performance Measures
Query optimization using restructured views
A Fixed-Point Method for Weighting Terms in Verbose Informational Queries
Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method
Density index and proximity search in large graphs
iMiner: Mining Inventory Data for Intelligent Management
Deep Learning Based Forecasting of Critical Infrastructure Data
DESIRE 2011: first international workshop on data infrastructures for supporting information retrieval evaluation
An Index Advisor Using Deep Reinforcement Learning
GPQ: Directly Optimizing Q-measure based on Genetic Programming
Detect'11: international workshop on DETecting and Exploiting Cultural diversiTy on the social web
Modeling the Fake News Challenge as a Cross-Level Stance Detection Task
Teaching Artificial Agents to Understand Language by Modelling Reward
Discovery of Similarity Computations of Search Engines
An analysis of question quality and user performance in crowdsourced exams
The patent mining task in the seventh NTCIR workshop
Learning to Rank with Query-level Semi-supervised Autoencoders
3DLNews: A Three-decade Dataset of US Local News Articles
Meta-Learning for Neural Relation Classification with Distant Supervision
On off-topic access detection in information systems
Dense Retrieval with Entity Views
Towards metric fusion on multi-view data: a cross-view based graph random walk approach
SILA: a spatial instance learning approach for deep webpages
Expert-Guided Diffusion Planner for Auto-Bidding
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter
A novel refinement approach for text categorization
Coarse-to-Fine Annotation Enrichment for Semantic Segmentation Learning
GBERT: Pre-training User representations for Ephemeral Group Recommendation
The gist of everything new: personalized top-k processing over web 2.0 streams
Dynamic Restructuring of Transactional Workflow Activities: A Practical Implementation Method
A Learning-based Approach for Explaining Language Models
Knowledge-Driven Video Information Retrieval with LOD: From Semi-Structured to Structured Video Metadata
Flexible intrinsic evaluation of hierarchical clustering for TDT
A Generalized Propensity Learning Framework for Unbiased Post-Click Conversion Rate Estimation
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction
Collaborative Analysis for Computational Risk in Urban Water Supply Systems
The Time Index+: An Incremental Access Structure for Temporal Databases
Struggling and Success in Web Search
Learning Short-Term and Long-Term Patterns of High-Order Dynamics in Real-World Networks
Joint inference of entities, relations, and coreference
Beyond The Thesis: Completing A Successful PhD
Human computing games for knowledge acquisition
Review-Aware Neural Recommendation with Cross-Modality Mutual Attention
Improving passage ranking with user behavior information
Calibration of Google Trends Time Series
You Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI Recommendation
Building Representative Composite Items
Efficient and reliable merging of XML documents
Learning What to Ask: Mining Product Attributes for E-commerce Sales from Massive Dialogue Corpora
Hypothesis testing with incomplete relevance judgments
Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation
CRISP: Consensus Regularized Selection based Prediction
Data Privacy in Journalistic Knowledge Platforms
Binary String Relations: A Foundation for Spatiotemporal Knowledge Representation
Progressive Label Disambiguation for Partial Label Learning in Homogeneous Graphs
Intensional Query Processing Using Data Mining Approaches
Answering aggregation queries on hierarchical web sites using adaptive sampling
To divide and conquer search ranking by learning query difficulty
Adaptive Transaction Scheduling
Modeling a trust cloud context
Measuring referential integrity in distributed databases
Exploiting enriched contextual information for mobile app classification
ITSM-GCN: Informative Training Sample Mining for Graph Convolutional Network-based Collaborative Filtering
Frequent Itemset Mining with Local Differential Privacy
Hyper-Substructure Enhanced Link Predictor
Partial rollback in object-oriented/object-relational database management systems
Interoperable Query Processing with Multiple Heterogeneous Knowledge Servers
Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation
Similarity measures for tracking information flow
Automatical Storyline Generation with Help from Twitter
STARec: An Efficient Agent Framework for Recommender Systems via Autonomous Deliberate Reasoning
Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval
Windowing mechanisms for web scale stream reasoning
Improving Tail Query Performance by Fusion Model
Incorporating word correlation into tag-topic model for semantic knowledge acquisition
Google Ads Content Moderation with RAG
Representing and Recommending Shopping Baskets with Complementarity, Compatibility and Loyalty
Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising
Interactive constrained clustering for patent document set
Models and Benchmarks for Representation Learning of Partially Observed Subgraphs
Consistent on-line classification of dbs workload events
Dual Context-Aware Negative Sampling Strategy for Graph-based Collaborative Filtering
Establishing value mappings using statistical models and user feedback
Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature Selection
Joint Clothes Detection and Attribution Prediction via Anchor-free Framework with Decoupled Representation Transformer
Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding
GUARD: Graph Universal Adversarial Defense
Empirical Study of Over-Squashing in GNNs and Causal Estimation of Rewiring Strategies
MADden: query-driven statistical text analytics
Web science and information exchange in the medical web
Workload-aware trie indices for XML
Class-Specific Word Sense Aware Topic Modeling via Soft Orthogonalized Topics
Autor3: Au tomated R eal-time R anking with R einforcement Learning in E-commerce Sponsored Search Advertising
ViPER: augmenting automatic information extraction with visual perceptions
LiNR: Model Based Neural Retrieval on GPUs at LinkedIn
Query Augmentation based Intent Matching in Retail Vertical Ads
Improving Advertisement Recommendation by Enriching User Browser Cookie Attributes
Generalized Team Draft Interleaving
A tool for assisting provenance search in social media
Adversarial Training of Gradient-Boosted Decision Trees
Proceedings of the 18th ACM Conference on Information and Knowledge Management, CIKM 2009, Hong Kong, China, November 2-6, 2009
Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems
Selection fusion in semi-structured retrieval
Learning naïve bayes transfer classifier throughclass-wise test distribution estimation