yusuke1997/dblp-id-title huggingface dataset:
MORN: Molecular Property Prediction Based on Textual-Topological-Spatial Multi-View Learning
Proceedings of the 3rd Workshop on Data-Driven User Behavioral Modeling and Mining from Social Media, DUBMOD@CIKM 2014, Shanghai, China, November 3, 2014
Numerical Linear Algebraic Foundations for Large-Scale Unsupervised Learning
IARD: Intruder Activity Recognition Dataset for Threat Detection
An infrastructure for supporting the evaluation of interactive information retrieval
Goal-Directed Extractive Summarization of Financial Reports
Addressing Cold Start in Product Search via Empirical Bayes
CYCLE: Cross-Year Contrastive Learning in Entity-Linking
Correcting for Recency Bias in Job Recommendation
The Landscape of Foundation Models for Molecular Chemistry
AURORA: An Information Extraction System of Domain-specific Business Documents with Limited Data
Identifying the challenges for optimizing the process to achieve reproducible results in e-science applications
ASIC: algebra-based structural index comparison
A Flash-aware Buffering Scheme using On-the-fly Redo
Wide-Ranging Review Manipulation Attacks: Model, Empirical Study, and Countermeasures
Domain-Specific Modeling of User Knowledge in Informational Search Sessions
LLM-Empowered Few-Shot Node Classification on Incomplete Graphs with Real Node Degrees
Modeling and Predicting Popularity Dynamics via an Influence-based Self-Excited Hawkes Process
Automatically Summarising Web Sites - Is There A Way Around It?
GAD: A Generalized Framework for Anomaly Detection at Different Risk Levels
Tutorial on User Simulation for Evaluating Information Access Systems
Fraud Detection under Multi-Sourced Extremely Noisy Annotations
Continuous Data Augmentation via Condition-Tokenized Diffusion Transformer for Sequential Recommendation
Extraction of a latent blog community based on subject
AutoBuild: Automatic Community Building Labeling for Last-mile Delivery
SportsSum2.0: Generating High-Quality Sports News from Live Text Commentary
Semantic verification in an online fact seeking environment
BICP: Block-Incremental CP Decomposition with Update Sensitive Refinement
Interactions Modeling in Multi-Task Multi-View Learning with Consistent Task Diversity
Probabilistic document-context based relevance feedback with limited relevance judgments
Mining sequential patterns with constraints in large databases
Supervised Hashing with Soft Constraints
Mirroring your web presence
Promotional subspace mining with EProbe framework
Community-based classification of noun phrases in twitter
Multiple Exemplars Learning for Fast Image Retrieval
Knowledge Graphs: A Tutorial on the History of Knowledge Graph's Main Ideas
Blogger-centric contextual advertising
An evaluation of a recursive weighing scheme for information retrieval in peer-to-peer networks
Named entity extraction and disambiguation: the missing link
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning
PP-STAT: An Efficient Privacy-Preserving Statistical Analysis Framework using Homomorphic Encryption
EFT-LR: Benchmarking Learning Rate Policies in Parameter-Efficient Large Language Model Fine-tuning
Spatio-temporal association rule mining framework for real-time sensor network applications
A Soft-partitioned Semi-supervised Collaborative Transfer Learning Approach for Multi-Domain Recommendation
Unsupervised Concept Categorization and Extraction from Scientific Document Titles
MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio
The future of digital
LLMAEL: Large Language Models are Good Context Augmenters for Entity Linking
Parallel motif extraction from very long sequences
Similarity-based Distant Supervision for Definition Retrieval
DASH: An Agile Knowledge Graph System Disentangling Demands, Algorithms, Data Resources, and Humans
PicAlert!: a system for privacy-aware image classification and retrieval
Architecture of a Networked Image Search and Retrieval System
Intelligent Caching: Selecting, Representing, and Reusing Data in an Information Server
A new tool for multi-level partitioning in teradata
An analysis of how ensembles of collective classifiers improve predictions in graphs
How fresh do you want your search results?
FolkTrails: Interpreting Navigation Behavior in a Social Tagging System
Fraudulent Delivery Detection with Multimodal Courier Behavior Data in Last-Mile Delivery
EnerQuery: Energy-Aware Query Processing
Cost-Effective Stream Join Algorithm on Cloud System
ConHub: A Metadata Management System for Docker Containers
Generating Intent-aware Clarifying Questions in Conversational Information Retrieval Systems
Proceedings of the 2nd workshop on Politics, elections and data, PLEAD@CIKM 2013, San Francisco, California, USA, October 28, 2013
Y!Q: contextual search at the point of inspiration
WIDM 2012: the 12th international workshop on web information and data management
An Empirical Study of Community Overlap: Ground-truth, Algorithmic Solutions, and Implications
Extracting semantic knowledge from Wikipedia category names
Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study
Searching the wikipedia with contextual information
Simple QSF-Trees: An Efficient and Scalable Spatial Access Method
Mapgraph: efficient methods for complex olap hierarchies
Industrial evaluation of a highly-accurate academic IR system
Relative Contrastive Learning for Sequential Recommendation with Similarity-based Positive Sample Selection
Combining link and content for collective active learning
Focused crawling using navigational rank
Document in Context of its Time (DICT): Providing Temporal Context to Support Analysis of Past Documents
Effects of Stubbornness on Opinion Dynamics
Using query log and social tagging to refine queries based on latent topics
Event-Driven Network for Cross-Modal Retrieval
Statistical power in retrieval experimentation
Nested region algebra extended with variables for tag-annotated text search
Search for patents using treatment and causal relationships
Passage retrieval for incorporating global evidence in sequence labeling
Simulated Annealing for Emotional Dialogue Systems
The Design and Implementation of an Expert Object-Oriented Geographic Database Model
Category-Driven Approach for Local Related Business Recommendations
Alike and Unlike: Resolving Class Imbalance Problem in Financial Credit Risk Assessment
Common-Specific Multimodal Learning for Deep Belief Network
GraphCBAL: Class-Balanced Active Learning for Graph Neural Networks via Reinforcement Learning
A Hierarchical Structure-Enhanced Personalized Recommendation Model for Traditional Chinese Medicine Formulas Based on KG Diffusion Guidance
Towards the Design and Development of a New Model for Geographic Information Systems
Discriminative feature selection for multi-view cross-domain learning
PlayBest: Professional Basketball Player Behavior Synthesis via Planning with Diffusion
Near Real-time Geolocation Prediction in Twitter Streams via Matrix Factorization Based Regression
FM-Hawkes: A Hawkes Process Based Approach for Modeling Online Activity Correlations
On progressive sequential pattern mining
Community question topic categorization via hierarchical kernelized classification
RD-P: A Trustworthy Retrieval-Augmented Prompter with Knowledge Graphs for LLMs
Finding redundant and complementary communities in multidimensional networks
Time-aware Graph Relational Attention Network for Stock Recommendation
Internet Information Resource Discovery Tools: Current and Future Trends
POLESTAR: collaborative knowledge management and sensemaking tools for intelligence analysts
Editing knowledge resources: the wiki way
User behavior driven ranking without editorial judgments
Causal Dependencies for Future Interest Prediction on Twitter
Multi-Model Data Query Languages and Processing Paradigms
M-Cypher: A GQL Framework Supporting Motifs
Improving Content Anomaly Detection on Social Media via Counterfactual Mitigation of Social Event-Induced Bias
A Multi-grained Dataset for News Event Triggered Knowledge Update
Long-tail Mixup for Extreme Multi-label Classification
Efficient information retrieval in mobile peer-to-peer networks
Multi-Scale User Behavior Network for Entire Space Multi-Task Learning
AnnoRank: A Comprehensive Web-Based Framework for Collecting Annotations and Assessing Rankings
Intersectional Bias Mitigation in Pre-trained Language Models: A Quantum-Inspired Approach
Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds
Real-time memory efficient data redundancy removal algorithm
One Query, Many Clicks: Analysis of Queries with Multiple Clicks by the Same User
A Storage System for Scalable Knowledge Representation
Single Node Injection Attack against Graph Neural Networks
QLever: A Query Engine for Efficient SPARQL+Text Search
Why Did You Cover That Song?: Modeling N-th Order Derivative Creation with Content Popularity
CIKM 93, Proceedings of the Second International Conference on Information and Knowledge Management, Washington, DC, USA, November 1-5, 1993
Prioritizing relevance judgments to improve the construction of IR test collections
Sentiment classification based on supervised latent n-gram analysis
Multi-task text segmentation and alignment based on weighted mutual information
Understanding the User: An Intent-Based Ranking Dataset
Effective User Interaction for High-Recall Retrieval: Less is More
Compressed data structures with relevance
Accurately extracting coherent relevant passages using hidden Markov models
Users versus models: what observation tells us about effectiveness metrics
Generating SQL/XML query and update statements
Continual Recommender Systems
Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering
L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations
When is the Time Ripe for Natural Language Processing for Patent Passage Retrieval?
CR-SGCN: Unsupervised Signed Community Detection via Conductance Regularization
A design space approach to analysis of information retrieval adaptive filtering systems
Polyhedral transformation for indexed rank order correlation queries
Network Report: A Structured Description for Network Datasets
ALVIS peers: a scalable full-text peer-to-peer retrieval engine
Using various term dependencies according to their utilities
Multimedia enriched digital books
Convolutional Transformer Networks for Epileptic Seizure Detection
Proceedings of the international workshop on Information retrieval in peer-to-peer networks, P2PIR '06, Arlington, Virginia, USA, November 11, 2006
Relational Self-Supervised Learning on Graphs
Transforming Location Retrieval at Airbnb: A Journey from Heuristics to Reinforcement Learning
Jura: Towards Automatic Compliance Assessment for Annual Reports of Listed Companies
Large scale analysis of changes in english vocabulary over recent time
Efficient Compression Method for Roadside LiDAR Data
Linked Document Embedding for Classification
Leveraging Knowledge and Reinforcement Learning for Enhanced Reliability of Language Models
Health Card Retrieval for Consumer Health Search: An Empirical Investigation of Methods
Discovering Time-invariant Causal Structure from Temporal Data
Asymmetric Diffusion Recommendation Model
Lower-bounding term frequency normalization
Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation?
Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models
Symbolic photograph content-based retrieval
Efficient estimation of dynamic density functions with an application to outlier detection
FUSION: An Online Method for Multistream Classification
Indexable Bayesian Personalized Ranking for Efficient Top-k Recommendation
Data management & analytics for healthcare (DARE 2013)
VN-Solver: Vision-based Neural Solver for Combinatorial Optimization over Graphs
Clairvoyant: An Early Prediction System For Video Hits
WiiCluster: a Platform for Wikipedia Infobox Generation
Estimating corpus size via queries
Multi-modal Knowledge Graphs for Recommender Systems
GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs
A Pattern Matching Language for Spatio-Temporal Databases
Internet of Things Dataset for Human Operator Activity Recognition in Industrial Environment
Robust Heterogeneous Discriminative Analysis for Single Sample Per Person Face Recognition
A Soft Computing Approach for Learning to Aggregate Rankings
Entity classification by bag of Wikipedia articles
Topic-driven web search result organization by leveraging wikipedia semantic knowledge
Modeling Inter-Claim Interactions for Verifying Multiple Claims
Extraction of topic evolutions from references in scientific articles and its GPU acceleration
Inducing Space Dirichlet Process Mixture Large-Margin Entity RelationshipInference in Knowledge Bases
AS-index: a structure for string search using n-grams and algebraic signatures
Challenges and Solutions to the Student Dropout Prediction Problem in Online Courses
MultiE: Multi-Task Embedding for Knowledge Base Completion
Link privacy in social networks
Hybrid Transfer in Deep Reinforcement Learning for Ads Allocation
Tabular Functional Block Detection with Embedding-based Agglomerative Cell Clustering
Preliminary study into query translation for patent retrieval
CLSPRec: Contrastive Learning of Long and Short-term Preferences for Next POI Recommendation
Active Query of Private Demographic Data for Learning Fair Models
Dismantling Complex Networks by a Neural Model Trained from Tiny Networks
On the definition of patterns for semantic annotation
YANA: an efficient privacy-preserving recommender system for online social communities
Knowledge-Driven Analytics and Sensor Signal Processing in Human-Centric Applications
Cracking the Code of Negative Transfer: A Cooperative Game Theoretic Approach for Cross-Domain Sequential Recommendation
Mining semantics for culturomics: towards a knowledge-based approach
Revisiting Trajectories to Road: A New Diffusion Model and A New Dataset with 1, 000, 000, 000 Points
Efficient Subgraph Skyline Search Over Large Graphs
A Pivot-Enhanced Question Answering Framework: Using Iterative Sub-Question Decomposition and Answer-to-Question Verification
Reconciling Training and Evaluation Objectives in Location Agnostic Surrogate Explainers
Nested Relation Extraction with Iterative Neural Network
Sequential Difference Maximization: Generating Adversarial Examples via Multi-Stage Optimization
HTMapper: Bidirectional Head-Tail Mapping for Nested Named Entity Recognition
InterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction
Fast top-k similarity queries via matrix compression
Multi-view random walk framework for search task discovery from click-through log
Probabilistic models for topic learning from images and captions in online biomedical literatures
Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search
GraphEvolveDroid: Mitigate Model Degradation in the Scenario of Android Ecosystem Evolution
ReportGRI: Automating GRI Alignment and Report Assessment
Leveraging data to change industry paradigms
Factors affecting click-through behavior in aggregated search interfaces
Integrated RFID data modeling: an approach for querying physical objects in pervasive computing
Meta-Learning Based Hyper-Relation Feature Modeling for Out-of-Knowledge-Base Embedding
Generative AI for Energy: Multi-Horizon Power Consumption Forecasting using Large Language Models
RelpNet: Relation-based Link Prediction Neural Network
D-HAT: Dynamic Hypergraph Representation Learning with Attention-Based Multi-Level Hypergraph Sampling
AnDri: A System for Anomaly and Drift co-Detection
Intelligent metasearch engine for knowledge management
Concavity in IR models
Unsupervised Matrix-valued Kernel Learning For One Class Classification
Multivariate Wind Power Time Series Forecasting with Noise-Filtering Neural ODEs
Cross-contextual Sequential Optimization via Deep Reinforcement Learning for Algorithmic Trading
Context-aware Sequential Bundle Recommendation via User-specific Representations
Privacy Protection for Flexible Parametric Survival Models
Efficient Mask Learning for Language Model Fine-Tuning
Constructing seminal paper genealogy
A summarization tool for time-sensitive social media
Differentiable Unbiased Online Learning to Rank
Application of a Symbolico-Connectionist Approach for the Design of a Highly Interactive Documentary Database Interrogation System with On-Line Learning Capabilities
Transformer Models for Recommending Related Questions in Web Search
Boosting social network connectivity with link revival
An Option Gate Module for Sentence Inference on Machine Reading Comprehension
Homepage Augmentation by Predicting Links in Heterogenous Networks
A Text Mining Approach for Identifying Herb-chemical Relationships from Biomedical Articles
SharkDB: An In-Memory Column-Oriented Trajectory Storage
LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates
VideoAVE: A Multi-Attribute Video-to-Text Attribute Value Extraction Dataset and Benchmark Models
Contrastive Cross-Domain Sequential Recommendation
Theoretical Foundations of Schema Restructuring in Heterogeneous Multidatabase Systems
HYKIS - An Information Retrieval System Based on a Hybrid Knowledge Base
DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval
FairRegBoost: An End-to-End Data Processing Framework for Fair and Scalable Regression
BERT-QPP: Contextualized Pre-trained transformers for Query Performance Prediction
Continuation Methods and Curriculum Learning for Learning to Rank
Effective anonymization of query logs
Title, Preface
Atypical Queries in eCommerce
Retrieval evaluation with incomplete relevance data: a comparative study of three measures
Hierarchical co-clustering based on entropy splitting
Anserini Gets Dense Retrieval: Integration of Lucene's HNSW Indexes
Using Neighborhood Context to Improve Information Extraction from Visual Documents Captured on Mobile Phones
Now You See Me (CME): Concept-based Model Extraction
T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data
CPFD: Confidence-aware Privileged Feature Distillation for Short Video Classification
A study of using an out-of-box commercial MT system for query translation in CLIR
Analysis of COVID-19 Data with PRISM: Parameter Estimation and SIR Modelling
Upcycling Candidate Tokens of Large Language Models for Query Expansion
Ranking with semi-supervised distance metric learning and its application to housing potential estimation
Comparing citation contexts for information retrieval
PRNet: Outdoor Position Recovery for Heterogenous Telco Data by Deep Neural Network
Exploiting context to detect sensitive information in call center conversations
James ate 5 oranges = Steve bought 5 pencils: Structure-Aware Denoising for Paraphrasing Word Problems
Highly-Optimized Forgetting for Creating Signature-Based Views of Ontologies
PhoNet: Telephone Call Database 3D Exploration Applet
Automatic Thesaurus Construction Using Bayesian Networks
MERL: Multi-View Edge Representation Learning in Social Networks
An Analysis of Cardinality Constraints in Redundant Relationships
Incremental Learning for LLM-based Tokenization and Recommendation
A Framework for Estimating Execution Times of IO Traces on SSDs
Neural Review Rating Prediction with User and Product Memory
Explainable and Accurate Natural Language Understanding for Voice Assistants and Beyond
RankMixer: Scaling Up Ranking Models in Industrial Recommenders
Discovering Fine-Grained Semantics in Knowledge Graph Relations
The impact of proof steps sequence on proof readability - experimental setting
Ad Hoc Monitoring of Vocabulary Shifts over Time
An Information Model for Human Genome Map Representation and Assembly
Systematic Identification of Context-dependent Conflicting Information in Biological Pathways
HOVER: Homophilic Oversampling via Edge Removal for Class-Imbalanced Bot Detection on Graphs
Structure-prior Informed Diffusion Model for Graph Source Localization with Limited Data
e-CLIP: Large-Scale Vision-Language Representation Learning in E-commerce
Mining undiscovered public knowledge from complementary and non-interactive biomedical literature through semantic pruning
Saliency Detection in Educational Videos: Analyzing the Performance of Current Models, Identifying Limitations and Advancement Directions
Functional dirichlet process
Rehab-Path : Recommending Alcohol and Drug-free Routes
MessageWorld: A New Approach to Facilitating Asynchronous Group Communications
Recommendation Through Mixtures of Heterogeneous Item Relationships
Deep Multi-Similarity Hashing for Multi-label Image Retrieval
Identifying Critical Segments Affecting Piano Performance Evaluation
Learning User Preferences for Topically Similar Documents
Retrieval-Augmented Image Captioning via Synthesized Entity-Aware Knowledge Representations
On Skipping Behaviour Types in Music Streaming Sessions
PIECE: Protagonist Identification and Event Chronology Extraction for Enhanced Timeline Summarization
Manifold ranking with sink points for update summarization
Analysis on Community Variational Trend in Dynamic Networks
Relevance Filtering for Embedding-based Retrieval
Mitigating Negative Influence Diffusion is Hard
Sketch-based Influence Maximization and Computation: Scaling up with Guarantees
PriSM: discovering and prioritizing severe technical issues from product discussion forums
Vector Approximation based Indexing for Non-uniform High Dimensional Data Sets
HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations
I pinned it. where can i buy one like it?: automatically linking pinterest pins to online webshops
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs
Adaptive Context-Infused Performance Evaluator for Iterative Feature Space Optimization
Accurate and scalable nearest neighbors in large networks based on effective importance
ST-Hyper: Learning High-Order Dependencies Across Multiple Spatial-Temporal Scales for Multivariate Time Series Forecasting
Efficient Repeating Pattern Finding in Music Databases
LDA Revisited: Entropy, Prior and Convergence
A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders
Incorporating User Feedback into Sequence to Sequence Model Training
Temporal Analysis in Epistemic SCIS Tasks
Attention Based Subgraph Classification for Link Prediction by Network Re-weighting
TriSeRec: A Tri-view Representation Learning Framework for Sequential/Session-based Recommendation
PLEAD 2012: politics, elections and data
StreamingCube: A Unified Framework for Stream Processing and OLAP Analysis
Improving Search Results with Prior Similar Queries
Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity
Analyzing Data Relevance and Access Patterns of Live Production Database Systems
Weighting common syntactic structures for natural language based information retrieval
SoRec: social recommendation using probabilistic matrix factorization
Extending OLAP Querying to External Object Databases
Scalable diversification of multiple search results
N2N: Network Derivative Mining
Record linkage performance for large data sets
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs
Long- and Short-term Preference Learning for Next POI Recommendation
Learning-Based Methods with Human-in-the-Loop for Entity Resolution
Advanced metasearch engines
Harnessing Semantics for Answer Sentence Retrieval
Who tags the tags?: a framework for bookmark weighting
Verb selection using semantic role labeling for citation classification
Semantic technology applications for homeland security
Proactive and Automatic Detection of Product Misclassifications at Massive Scale
Clustering for unsupervised relation identification
An Extensible Query Optimizer for an Objectbase Management System
Session details: Keynote address
Structural Constraints for Multipartite Entity Resolution with Markov Logic Network
Semi-supervised discriminative preference elicitation for cold-start recommendation
Adversarial Factorization Autoencoder for Look-alike Modeling