yusuke1997/dblp-id-title huggingface dataset:
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking
Learning to Rank in the Position Based Model with Bandit Feedback
IEcons: A New Consensus Approach Using Multi-Text Representations for Clustering Task
EZ-Sort: Efficient Pairwise Comparison via Zero-Shot CLIP-Based Pre-Ordering and Human-in-the-Loop Sorting
Explain and Monitor Deep Learning Models for Computer Vision using Obz AI
Community mining on dynamic weighted directed graphs
Sequence Modeling with Hierarchical Deep Generative Models with Dual Memory
Circumstance-based categorization analysis of knowledge management systems for the japanese market
MS MARCO Chameleons: Challenging the MS MARCO Leaderboard with Extremely Obstinate Queries
Understanding Database Performance Inefficiencies in Real-world Web Applications
Challenges and Opportunities for Journalistic Knowledge Platforms
HSGIMS - A Secure High-Speed Tool with Bound Search Times for Transparently Managing and Manipulating Information
Semantic annotations for digital investigations
Query expansion using associated queries
WG4Rec: Modeling Textual Content with Word Graph for News Recommendation
A comparison of statistical significance tests for information retrieval evaluation
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
Content-boosted maximum margin matrix factorization for Flickr group recommendation
Text Embedding for Sub-Entity Ranking from User Reviews
FROG: Fair Removal on Graph
A semi-supervised hybrid system to enhance the recommendation of channels in terms of campaign roi
Privacy, accountability, and access in the age of the personalized campaign
LeQua @ CLEF 2022: A Shared Task for Evaluating Quantification Systems
GCVPN: A Graph Convolutional Visual Prior-Transform Network for Actual Occluded Image Recognition
Retrievability Bias Estimation Using Synthetically Generated Queries
A Self-Adaptive Fairness Constraint Framework for Industrial Recommender System
Linking to Compound Conditions in Mizar
A latent pairwise preference learning approach for recommendation from implicit feedback
Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT
Exploiting site-level information to improve web search
The list Viterbi training algorithm and its application to keyword search over databases
Automated News Suggestions for Populating Wikipedia Entity Pages
Building a Virtual Member of a Community of Practice
Satisfaction balanced mediation
Language models, probability of relevance and relevance likelihood
RT2S: A Framework for Learning with Noisy Labels
Enhancing Temporal and Geographical Named Entity Recognition in Chinese Ancient Texts with External Time-series Knowledge Bases
On Prediction of User Destination by Sub-Trajectory Understanding: A Deep Learning based Approach
APAM : Adaptive Eager-Lazy Hybrid Evaluation of Event Patterns for Low Latency
Transferable Structure-based Adversarial Attack of Heterogeneous Graph Neural Network
On benchmarking data translation systems for semantic-web ontologies
Harmonic models for polyphonic music retrieval
Model the complex dependence structures of financial variables by using canonical vine
Intelligent creation of notification events in information systems: concept, implementation and evaluation
A Framework for Designing Update Objects to Improve Server Scalability in Intermittently Synchronized Databases
CONR: A Novel Method for Sentiment Word Identification
Sigma encoded inverted files
RePair: An Extensible Toolkit to Generate Large-Scale Datasets for Query Refinement via Transformers
Document retrieval for question answering: a quantitative evaluation of text preprocessing
Dataset Generation for Korean Urban Parks Analysis with Large Language Models
Selecting Influential Features by a Learnable Content-Aware Linear Threshold Model
On mining mobile apps usage behavior for predicting apps usage in smartphones
Binary Transformation Method for Multi-Label Stream Classification
Lemma Extraction Criteria Based on Properties of Theorem Statements
Concurrent atomic protocols for making and changing decisions in social networks
Distributed social graph embedding
Web Table Understanding by Collective Inference
LinkML for Collaborative Petrochemical Knowledge Graph Development
TrendSpotter: Forecasting E-commerce Product Trends
Random walk-based graphical sampling in unbalanced heterogeneous bipartite social graphs
Offline Evaluation by Maximum Similarity to an Ideal Ranking
MRM: an adaptive framework for XML searching
Acquisition of categorized named entities for web search
Unified Molecule Pre-training with Flexible 2D and 3D Modalities: Single and Paired Modality Integration
Learnable Item Tokenization for Generative Recommendation
Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation
Region Semantically Aligned Network for Zero-Shot Learning
DFD: Efficient Functional Dependency Discovery
Incremental and Parallel Computation of Structural Graph Summaries for Evolving Graphs
Relation-aware Blocking for Scalable Recommendation Systems
Biomedical Named Entity Recognition Based on the Combination of Regional and Global Text Features
Network Embedding with Adaptive Multi-hop Contrast
Optimizing Generalized Linear Models with Billions of Variables
What is the IQ of your data transformation system?
Load-sensitive selective pruning for distributed search
Discovering Urban Functions of High-Definition Zoning with Continuous Human Traces
SarRec: Statistically-guaranteed Augmented Retrieval for Recommendation
QBEES: query by entity examples
Structured query reformulations in commerce search
Improving Imitation Learning by Merging Experts Trajectories
Time-Period-Aware Embedding Regeneration for Session-Based Recommendation
Predicting the optimal ad-hoc index for reachability queries on graph databases
Learning to Detect Relevant Contexts and Knowledge for Response Selection in Retrieval-based Dialogue Systems
Modeling performance-driven workload characterization of web search systems
Fusing Geometric and Scene Information for Cross-View Geo-Localization
Big data opportunities and challenges for IR, text mining and NLP
AlignRec: Aligning and Training in Multimodal Recommendations
KRAFT: A Knowledge Graph-Based Framework for Automated Map Conflation
Learning Task Grouping using Supervised Task Space Partitioning in Lifelong Multitask Learning
Retrieval-Based Unsupervised Noisy Label Detection on Text Data
Factors affecting aggregated search coherence and search behavior
EmFore: Online Learning of Email Folder Classification Rules
GOProteinGNN: Leveraging Protein Knowledge Graphs for Protein Representation Learning
A method for online analytical processing of text data
Local approximation of pagerank and reverse pagerank
LR-PPR: locality-sensitive, re-use promoting, approximate personalized pagerank computation
Detection and Resolution of Deadlocks in Distributed Database Systems
Mining a search engine's corpus without a query pool
Active Network Alignment: A Matching-Based Approach
Understanding Data in the Blink of an Eye
Multi-task based Sales Predictions for Online Promotions
Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas
Predicting the Cost-Quality Trade-Off for Information Retrieval Queries: Facilitating Database Design and Query Optimization
Suppressing outliers in pairwise preference ranking
Accurate Neural Network Option Pricing Methods with Control Variate Techniques and Data Synthesis/Cleaning with Financial Rationality
Skyline query processing for uncertain data
When Should We Use Linear Explanations?
CommDGI: Community Detection Oriented Deep Graph Infomax
Intent models for contextualising and diversifying query suggestions
Automated snippet generation for online advertising
Aggregation strategies for columnar in-memory databases in a mixed workload
EdgeRec: Recommender System on Edge in Mobile Taobao
On the Sensitivity of Individual Fairness: Measures and Robust Algorithms
SliceSort: efficient sorting of hierarchical data
Unlocking the Potential of Non-PSD Kernel Matrices: A Polar Decomposition-based Transformation for Improved Prediction Models
Incorporating quality aspects in sensor data streams
Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, McLean, VA, USA, November 4-9, 2002
A data stream language and system designed for power and extensibility
Unsupervised Representation Learning of Spatial Data via Multimodal Embedding
CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms
Latent Graph Structure Learning for Large-Scale Traffic Forecasting
Automatic generation of topic pages using query-based aspect models
Simplifying Architecture Search for Graph Neural Network
Preference-driven Interactive Ranking System for Personalized Decision Support
Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps
A Display of Conceptual Structures in the Epidemiologic Literature
Automatic call section segmentation for contact-center calls
Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding Framework
BooksOnline'11: 4th workshop on online books, complementary social media, and crowdsourcing
QART: A Tool for Quality Assurance in Real-Time in Contact Centers
Thematic mapping - from unstructured documents to taxonomies
CANDY: A Causality-Driven Model for Hotel Dynamic Pricing
Location-sensitive resources recommendation in social tagging systems
Modeling Parameter Interactions in Ranking SVM
The anatomy of a click: modeling user behavior on web information systems
Entity-centric document filtering: boosting feature mapping through meta-features
CLIR for Informal Content in Arabic Forum Posts
GROWN+UP: A "Graph Representation Of a Webpage" Network Utilizing Pre-training
FA*IR: A Fair Top-k Ranking Algorithm
Quasi-Dynamic Two-Phase Locking
FALCON: seamless access to meeting data from the inbox and calendar
Dual Learning for Cross-domain Image Captioning
Fully Hyperbolic Graph Convolution Network for Recommendation
A probabilistic approach to correlation queries in uncertain time series data
L2 norm regularized feature kernel regression for graph data
Information extraction from pathology reports in a hospital setting
Lucas-Interpretation from Users' Perspective
Language Models-enhanced Semantic Topology Representation Learning For Temporal Knowledge Graph Extrapolation
TriRank: Review-aware Explainable Recommendation by Modeling Aspects
Minimising Quantifier Variance under Prior Probability Shift
Clustering high-dimensional data using an efficient and effective data space reduction
Building Concept Hierarchies for Schema Integration in HDDBS Using Incremental Concept Formation
Discrepancy-guided Channel Dropout for Domain Generalization
XploitSQL: Advancing Adversarial SQL Injection Attack Generation with Language Models and Reinforcement Learning
Exploring relevance for clicks
Incorporating terminology evolution for query translation in text retrieval with association rules
A scalable approach for performing proximal search for verbose patent search queries
Targeted Influence Maximization in Social Networks
Ranking robustness: a novel framework to predict query performance
Automated Nanoparticle Image Processing Pipeline for AI-Driven Materials Characterization
Modeling Time from a Conceptual Perspective
Modeling Latent Autocorrelation for Session-based Recommendation
MIST: Missing Person Intelligence Synthesis Toolkit
Collaborative Cross-modal Fusion with Large Language Model for Recommendation
Towards a patent taxonomy integration and interaction framework
Summarizing Long-Form Document with Rich Discourse Information
Attentional Neural Integral Equation for Temporal Knowledge Graph Forecasting
To Click or Not To Click: Automatic Selection of Beautiful Thumbnails from Videos
NLP-QA: A Large-scale Benchmark for Informative Question Answering over Natural Language Processing Documents
4th international workshop on patent information retrieval (PaIR'11)
Beyond Clustering: Sub-DAG Discovery for Categorising Documents
Quantization Aware Matryoshka Adaptation: Leveraging Matryoshka Learning, Quantization, and Bitwise Operations for Reduced Storage and Improved Retrieval Speed
Structural Inference for Semistructured Data
On lossy time decompositions of time stamped documents
Commit-Reordering Validation Scheme for Transaction Scheduling in Client-Server Based Teleputing Systems: COREV
Object-Oriented and Database Concepts for the Design of Networked Information Retrieval Systems
Predicting Importance of Historical Persons using Wikipedia
A Case Study in Educational Recommenders: Recommending Music Partitures at Tomplay
MALM: A Framework for Mining Sequence Database at Multiple Abstraction Levels
Parallel Lazy Semi-Naive Bayes Strategies for Effective and Efficient Document Classification
Do Simpler Statistical Methods Perform Better in Multivariate Long Sequence Time-Series Forecasting?
Sparse Autoencoders in Collaborative Filtering Enhanced LLM-based Recommender Systems
A Density-Based Approach to the Retrieval of Top-K Spatial Textual Clusters
Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information
Learning Edge Representations via Low-Rank Asymmetric Projections
EPNet: Learning to Exit with Flexible Multi-Branch Network
Ontology module extraction for ontology reuse: an ontology engineering perspective
Structured data in web search
Bots Shield Fake News: Adversarial Attack on User Engagement based Fake News Detection
Toward advice mining: conditional random fields for extracting advice-revealing text units
Learning Invariant Reliability under Diverse Contexts for Robust Multimedia Recommendation
Exploring categorization property of social annotations for information retrieval
Task Assignment with Federated Preference Learning in Spatial Crowdsourcing
PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling
Dual Learning for Query Generation and Query Selection in Query Feeds Recommendation
Scaling Replica Maintenance In Intermittently Synchronized Mobile Databases
Block-based load balancing for entity resolution with MapReduce
A dictionary for approximate string search and longest prefix search
Getting the Agenda Right: Measuring Media Agenda using Topic Models
Spread co-citation relationship as a measure for document retrieval
Interactive methods for taxonomy editing and validation
A Neuro-symbolic Approach to Enhance Interpretability of Graph Neural Network through the Integration of External Knowledge
Agent-based Framework for Developing Distributed Systems
Towards Visual Type Theory as a Mathematical Tool and Mathematical User Interface
Towards Explainable Networked Prediction
Continually-Adaptive Representation Learning Framework for Time-Sensitive Healthcare Applications
Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network
Proceedings of the 1st workshop on User engagement optimization, UEO@CIKM 2013, San Francisco, California, USA, November 1, 2013
Sci-Blogger: A Step Towards Automated Science Journalism
How Does BERT Answer Questions?: A Layer-Wise Analysis of Transformer Representations
Design Element Aware Poster Layout Generation
Predicting the Popularity of Online Serials with Autoregressive Models
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs
The plain text trap when copying mathematical formulae
Autonomously semantifying wikipedia
RecFormer: personalized temporal-aware transformer for fair music recommendation
Robust Irregular Tensor Factorization and Completion for Temporal Health Data Analysis
Enhancing Privacy Awareness in Online Social Networks: a Knowledge-Driven Approach
An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset
Quantum Inverse Contextual Vision Transformers (Q-ICVT): A New Frontier in 3D Object Detection for AVs
The benefit of additional semantics in folksonomy systems
Statistical relationship determination in automatic thesaurus construction
Evaluation of set-based queries with aggregation constraints
Medical Semantic Similarity with a Neural Language Model
Latent semantic fusion model for image retrieval and annotation
A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction
Collaborative Sequence Prediction for Sequential Recommender
Top-Eye: top-k evolving trajectory outlier detection
Out-of-Distribution Aware Classification for Tabular Data
Leveraging the Implicit Structure within Social Media for Emergent Rumor Detection
Securely sharing neuroimagery
Visual appearance of display ads and its effect on click through rate
Trustworthy and Responsible AI for Information and Knowledge Management System
Matches Made in Heaven: Toolkit and Large-Scale Datasets for Supervised Query Reformulation
Spatial Match Representation Scheme Supporting Ranking in Iconic Images Databases
Extracting meronyms for a biology knowledge base using distant supervision
Discovering customer intent in real-time for streamlining service desk conversations
resMBS: Constructing a Financial Supply Chain from Prospectus
FR-LoRA: Fisher Regularized LoRA for Multilingual Continual Learning
Span Confusion is All You Need for Chinese Spelling Correction
A Filtering-based Clustering Algorithm for Improving Spatio-temporal Kriging Interpolation Accuracy
A late fusion approach to cross-lingual document re-ranking
Building a generic debugger for information extraction pipelines
Index Interpolation: An Approach to Subsequence Matching Supporting Normalization Transform in Time-Series Databases
CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly Detection
Escalations in workflow management systems
Selecting Relevant Instances for Efficient and Accurate Collaborative Filtering
Towards Plausible Differentially Private ADMM Based Distributed Machine Learning
Analysis of partitioning strategies for graph processing in bulk synchronous parallel models
Cross-sentence N-ary Relation Extraction using Entity Link and Discourse Relation
Learning Ideological Embeddings from Information Cascades
Benchmarking cloud-based data management systems
Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulators to Enhance Dialogue System
Graph similarity search with edit distance constraint in large graph databases
Tagging for improved semantic interpretation of XML
Image Similarity Retrieval by Spatial Constraints
DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions
Building Test Collections using Bandit Techniques: A Reproducibility Study
KALE: Knowledge Aggregation for Label-free Model Enhancement
MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement
From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing
Rapid Analysis of Network Connectivity
Unsupervised Concept Drift Detection with a Discriminative Classifier
Learning kernels with upper bounds of leave-one-out error
Multi-document Hyperedge-based Ranking for Text Summarization
Maintaining Views in Object-relational Databases
As Good as It KAN Get: High-Fidelity Audio Representation
Going Beyond Content Richness : Verified Information Aware Summarization of Crisis-Related Microblogs
Uncertain Boundaries: A Tutorial on Copyright Challenges and Cross-Disciplinary Solutions for Generative AI
Processing online aggregation on skewed data in mapreduce
Privacy Aware Temporal Profiling of Emails in Distributed Setup
Location and Time Aware Social Collaborative Retrieval for New Successive Point-of-Interest Recommendation
Engineering a Simplified 0-Bit Consistent Weighted Sampling
LinkRadar: Assisting the Analysis of Inter-app Page Links via Transfer Learning
Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information
Exploiting User Consuming Behavior for Effective Item Tagging
Social Spammer and Spam Message Co-Detection in Microblogging with Social Context Regularization
DirDense: A Tool for Mining Dense Subgraphs from a Big Directed Graph
Classical music for rock fans?: novel recommendations for expanding user interests
HeckmanCD: Exploiting Selection Bias in Cognitive Diagnosis
Prediction of retweet cascade size over time
A Comprehensive Toolkit for Generalized Robust Vision
Trust prediction via aggregating heterogeneous social networks
UPON: User Profile Transferring across Networks
Proceedings of the 2nd International Workshop on Search and Mining User-Generated Contents, SMUC@CIKM 2010, Toronto, ON, Canada, October 30, 2010
Time-based language models
Minimizing Polarization in Noisy Leader-Follower Opinion Dynamics
Recent Developments of Deep Heterogeneous Information Network Analysis
AutoMRM: A Model Retrieval Method Based on Multimodal Query and Meta-learning
Implicit User-Generated Content in the Service of Public Health
KGrEaT: A Framework to Evaluate Knowledge Graphs via Downstream Tasks
DuTraffic: Live Traffic Condition Prediction with Trajectory Data and Street Views at Baidu Maps
Making your interests follow you on twitter
Mining Fuzzy Association Rules
A note on search based forecasting of ad volume in contextual advertising
City-Scale Localization with Telco Big Data
Meta-recommendation systems: user-controlled integration of diverse recommendations
DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series
Computing consistent query answers using conflict hypergraphs
From face-to-face gathering to social structure
SAFE: Secure and Big Data-Adaptive Framework for Efficient Cross-Domain Communication
Space Efficient Bitmap Indexing
Post-Training Embedding Enhancement for Long-Tail Recommendation
Quantifying the Effectiveness of Advertising: A Bootstrap Proportion Test for Brand Lift Testing
An evaluation of the incorporation of a semantic network into a multidimensional retrieval engine
Discovering facts with boolean tensor tucker decomposition
Can all tags be used for search?
Automating DBSCAN via Deep Reinforcement Learning
Discovering health-related knowledge in social media using ensembles of heterogeneous features
Automatic and Precise Data Validation for Machine Learning
Anomaly Subgraph Detection with Feature Transfer
Using Knowledge Graphs to Explain Entity Co-occurrence in Twitter
Harnessing Commonsense: LLM-Driven Knowledge Integration for Fine-Grained Sentiment Analysis
A Case Study of Venus and a Declarative Basis for Rule Modules
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
Multiple Infection Sources Identification with Provable Guarantees
Memory-Adaptive Scheduling for Large Query Execution
Language Modeling by Clustering with Word Embeddings for Text Readability Assessment
Unsupervised binning of environmental genomic fragments based on an error robust selection of l-mers
Empirical Evidence for Search Effectiveness Models
Skynets: searching for minimum trees in graphs with incomparable edge weights
HCI design principles for ereaders
Differentiable Probabilistic Logic Reasoning For Knowledge Graph Completion
Generating document summaries from user annotations
Learning conditional random fields with latent sparse features for acronym expansion finding
ITA-ELECTION-2022: A Multi-Platform Dataset of Social Media Conversations Around the 2022 Italian General Election
Large Scale Long-tailed Product Recognition System at Alibaba
Unbiased Learning to Rank with Biased Continuous Feedback
Multi-scale Agent-based Models in Immunology. A Short Review
Modeling multi-step relevance propagation for expert finding
Thymeflow, A Personal Knowledge Base with Spatio-temporal Data
GRLA 2019: The first International Workshop on Graph Representation Learning and its Applications
Recommender Systems for Sustainable Development through Responsible Nudging
Frequent subgraph pattern mining on uncertain graph data
ByGCN: Spatial Temporal Byroad-Aware Graph Convolution Network for Traffic Flow Prediction in Road Networks
Hugo: Entity-based News Search and Summarisation
exML: An Explainable Maximum Likelihood Tool for Proportion Estimation in DNA Data