yusuke1997/dblp-id-title huggingface dataset:
Generating Association Rules from Semi-Structured Documents Using an Extended Concept Hierarchy
A continuous query evaluation scheme for a detection-only query over data streams
F4: large-scale automated forecasting using fractals
Tree-pattern-based duplicate code detection
A Test Collection of Synthetic Documents for Training Rankers: ChatGPT vs. Human Experts
S-Mixup: Structural Mixup for Graph Neural Networks
OpinioNetIt: understanding the opinions-people network for politically controversial topics
Proximity-based document representation for named entity retrieval
Query Aggregation in Session Search
Exploring and Analyzing Change: The Janus Project
Slow Search: Improving Information Retrieval Using Human Assistance
Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification
A novel framework of training hidden markov support vector machines from lightly-annotated data
An Empirical Cross Domain-Specific Entity Recognition with Domain Vector
eDental: Managing Your Dental Care in Diet Diaries
Novel Query Suggestions: Initial Work Report
On The Relationship Between Description Logic and Predicate Logic
Unsolved problems in search: (and how we approach them)
A Contention Based Dynamic Consistency Maintenance Scheme for Client Cache
Deep Spatio-Temporal Multiple Domain Fusion Network for Urban Anomalies Detection
Semantic Caching via Query Matching for Web Sources
LSDS-IR'11: the 9th workshop on large-scale and distributed systems for information retrieval
An empirical study of required dimensionality for large-scale latent semantic indexing applications
Online Learning for Non-Stationary A/B Tests
Presentation Ordering Effects On Assessor Agreement
Relation-Sensitive Visual Aggregation Enhances Multimodal Knowledge Graph Completion
Efficient Maintenance of Rule-Derived Data through Join Pattern Indexing
gFOV: A Full-Stack SPARQL Query Optimizer & Plan Visualizer
DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation
Advanced Privacy Protection in Federated Learning using Server-initiated Homomorphic Encryption
Need for a Security Profile for Agent Environments
GI-NMF: Group Incremental Non-Negative Matrix Factorization on Data Streams
Characterization of the twitter @replies network: are user ties social or topical?
GraphVAE: Unveiling Dynamic Stock Relationships with Variational Autoencoder-based Factor Modeling
Estimating Average Treatment Effects via Orthogonal Regularization
OLAP with UDFs in digital libraries
Graph Neural Networks For Affective Social Media: A Comprehensive Overview
Studying Topical Relevance with Evidence-based Crowdsourcing
Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights
Protein complex prediction via bottleneck-based graph partitioning
Efficient search ranking in social networks
LangPTune: Optimizing Language-based User Profiles for Recommendation
The Price is Right: Removing A/B Test Bias in a Marketplace of Expirable Goods
Integrating Side Information for Boosting Machine Comprehension
The price of precision: voter microtargeting and its potential harms to the democratic process
On Backup Battery Data in Base Stations of Mobile Networks: Measurement, Analysis, and Optimization
Enhancing the Completeness of Rationales for Multi-Step Question Answering
Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods
Identifying interesting assertions from the web
Memory-less unsupervised clustering for data streaming by versatile ellipsoidal function
A cross-lingual framework for monolingual biomedical information retrieval
GRIP: Multi-Store Capacity-Optimized High-Performance Nearest Neighbor Search for Vector Search Engine
Indexing and Retrieval of Scientific Literature
Patentssearcher: a novel portal to search and explore patents
Enterprise Social Link Recommendation
A Multi-Domain Benchmark for Personalized Search Evaluation
IMAS++: An Intelligent Medical Analysis System Enhanced with Deep Graph Neural Networks
A General Strategy Graph Collaborative Filtering for Recommendation Unlearning
Challenges in commerce search
Node Immunization over Infectious Period
Trend-based and reputation-versed personalized news network
Relation-aware Heterogeneous Graph for User Profiling
Investigating Rumor News Using Agreement-Aware Search
Data-centric Prompt Tuning for Dynamic Graphs
Extraction of Fine-grained Semantic Relations for the Human Variome
Building Information Systems for Mobile Environments
Query session detection as a cascade
Power in unity: forming teams in large-scale community systems
Representation Matters When Learning From Biased Feedback in Recommendation
Ericsogate: Advancing Analytics and Management of Data from Diverse Sources within Ericsson Using Knowledge Graphs
Proceeding of the 3rd International Workshop on Data and Text Mining in Bioinformatics, DTMBIO 2009, Hong Kong, China, November 6, 2009
Mix 'n Match: Integrating Text Matching and Product Substitutability within Product Search
Developing a noise-aware AI system for change risk assessment with minimal human intervention
iSampling: framework for developing sampling methods considering user's interest
Classifying latent user attributes in twitter
Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems
Intersection of Parallels as an Early Stopping Criterion
A Horizontal Fragmentation Algorithm for the Fact Relation in a Distributed Data Warehouse
Information retrieval and machine learning for probabilistic schema matching
Semantic web for net-enabled decision making
Empirical validation of the buckley-osthus model for the web host graph: degree and edge distributions
Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning
Query Embedding Learning for Context-based Social Search
Organizing structured web sources by query schemas: a clustering approach
Privacy protected knowledge management in services with emphasis on quality data
Indexing Linked Data in a Wireless Broadcast System with 3D Hilbert Space-Filling Curves
Discrimination aware classification for imbalanced datasets
Mining metastasis related genes by primary-secondary tumor comparisons from large-scale database
RFID data analysis using tensor calculus for supply chain management
Multilevel manifold learning with application to spectral clustering
Collaborative Image Understanding
CIKM 2021 Tutorial on Fairness of Machine Learning in Recommender Systems
Relational Database Schema Design for Uncertain Data
SonetRank: leveraging social networks to personalize search
Contextualization using hyperlinks and internal hierarchical structure of Wikipedia documents
On-demand Influencer Discovery on Social Media
The Influence of Pre-processing on the Estimation of Readability of Web Documents
MING: mining informative entity relationship subgraphs
Citation count prediction: learning to estimate future citations for literature
Reusable Architecture for Embedding Rule-based Intelligence in Information Agents
DebCSE: Rethinking Unsupervised Contrastive Sentence Embedding Learning in the Debiasing Perspective
Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers
Fast fully dynamic landmark-based estimation of shortest path distances in very large graphs
Web-based evidence excavation to explore the authenticity of local events
Advances in Medical Knowledge Systems: LLMs, RAG and Foundation Models
Session-based query performance prediction
MEMENTO: Neural Model for Estimating Individual Treatment Effects for Multiple Treatments
Deceptive Synthetic Updates: Stealth Free-Rider Attack on Model Aggregation in Federated Learning
Addressing Personalized Bias for Unbiased Learning to Rank
Graph Local Homophily Network for Anomaly Detection
Semi-Automated Text Classification for Sensitivity Identification
Graph Neural Network Architecture Search via Hybrid Genetic Algorithm with Parallel Tempering
ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation
Signed Network Modeling Based on Structural Balance Theory
A Smooth Transition to Modern mathoid-based Math Rendering in Wikipedia with Automatic Visual Regression Testing
Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting
What is happening right now ... that interests me?: online topic discovery and recommendation in twitter
ACDM: An Effective and Scalable Active Clustering with Pairwise Constraint
From exploratory search to web search and back
Query optimization in xml-based information integration
Characterizing web search queries that match very few or no results
MSG-Chart: Multimodal Scene Graph for ChartQA
EvoFormer: Learning Dynamic Graph-Level Representations with Structural and Temporal Bias Correction
Discovery of numerous specific topics via term co-occurrence analysis
Efficient and Effective SPARQL Autocompletion on Very Large Knowledge Graphs
A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval
ILTS: Inducing Intention Propagation in Decentralized Multi-Agent Tasks with Large Language Models
Hierarchical topic integration through semi-supervised hierarchical topic modeling
Applying differential privacy to search queries in a policy based interactive framework
SAILOR: Structural Augmentation Based Tail Node Representation Learning
Rule-based data quality
Evaluating geo-social influence in location-based social networks
Building user profiles from topic models for personalised search
Automatic construction of multifaceted browsing interfaces
FIRE: interactive visual support for parameter space-driven rule mining
Efficient Detection of Data Dependency Violations
Language processing for arabic microblog retrieval
Exploring Cohesive Subgraphs in Hypergraphs: The (k, g)-core Approach
Ranking Rich Mobile Verticals based on Clicks and Abandonment
Distilling Numeral Information for Volatility Forecasting
Two-part segmentation of text documents
CTRL: Cooperative Traffic Tolling via Reinforcement Learning
GeCo: an online personal data generator and corruptor
Using Consistency-driven Pairwise Comparisons in Knowledge-based Systems
When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank
MIMICS: A Large-Scale Data Collection for Search Clarification
A pattern-based selective recrawling approach for object-level vertical search
Enabling Health Data Sharing with Fine-Grained Privacy
Named entity disambiguation by leveraging wikipedia semantic knowledge
Analysis of Physical Activity Propagation in a Health Social Network
Generating Compositional Color Representations from Text
Why commercial database systems are not real-time systems
Dual word and document seed selection for semi-supervised sentiment classification
Large-scale Secure XGB for Vertical Federated Learning
An Anonymiser Tool for Sensitive Graph Data
Distributed Graph Summarization
A Self-Learning Resource-Efficient Re-Ranking Method for Clinical Trials Search
Recognition and classification of noun phrases in queries for effective retrieval
QED: a novel quaternary encoding to completely avoid re-labeling in XML updates
Top-k most influential locations selection
Human-Centric AI: From Explainability and Trustworthiness to Actionable Ethics
Exploiting Common Neighbor Graph for Link Prediction
Knowledge Transfer based on Multiple Manifolds Assumption
A Privacy-preserving Spatial Dataset Joinable Search in Cloud
Insta-Search: Towards Effective Exploration of Knowledge Graphs
Hyperedge Importance Estimation via Identity-aware Hypergraph Attention Network
GraphRep: Boosting Text Mining, NLP and Information Retrieval with Graphs
The semantic web: managing knowledge for planet earth
Where Did You Go: Personalized Annotation of Mobility Records
A system for finding biological entities that satisfy certain conditions from texts
Eighth Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'15)
Exploiting co-occurrence and information quality metrics to recommend tags in web 2.0 applications
Continuous-Time Dynamic Graph Learning via Neural Interaction Processes
CSRM-LLM: Embracing Multilingual LLMs for Cold-Start Relevance Matching in Emerging E-commerce Markets
Proceedings of the 7th Workshop on Ph.D Students, PIKM@CIKM 2014, Shanghai, China, November 3, 2014
Selecting related terms in query-logs using two-stage SimRank
Anchor-based Collaborative Filtering
Two-Stage Audience Expansion for Financial Targeting in Marketing
A measure for cluster cohesion in semantic overlay networks
Automated Query Graph Generation for Querying Knowledge Graphs
Proceedings of the 2013 workshop on Living labs for information retrieval evaluation, LivingLab@CIKM 2013, San Francisco, California, USA, November 1, 2013
Social Relation Meets Recommendation: Augmentation and Alignment
Finding influential products on social domination game
TaCLe: Learning Constraints in Tabular Data
Clustering Speed in Multi-lane Traffic Networks
Bridging the unstructured and structured worlds: an adaptive self learning medical form generating system
Word Segmentation and Recognition for Web Document Framework
Back to the roots: a probabilistic framework for query-performance prediction
Actionable Insights in Urban Multivariate Time-series
Index Obfuscation for Oblivious Document Retrieval in a Trusted Execution Environment
Privacy-aware querying over sensitive trajectory data
Robust Dynamic Clustering for Temporal Networks
DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning
Inferring Undiscovered Public Knowledge by Using Text Mining-driven Graph Model
Predicting query performance for fusion-based retrieval
Multimodal Graph Meta Contrastive Learning
Fu-Finder: a game for studying querying behaviours
XCrowd: Combining Explainability and Crowdsourcing to Diagnose Models in Relation Extraction
CamDrop: A New Explanation of Dropout and A Guided Regularization Method for Deep Neural Networks
A Human-in-the-Loop Approach to Malware Author Classification
Incremental Encoding of Multiple Inheritance Hierarchies
Can Large Vision-Language Models Understand Multimodal Sarcasm?
Rank-aware clustering of structured datasets
Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction
Enhancing product search by best-selling prediction in e-commerce
Density-Based Dynamic Curriculum Learning for Intent Detection
Balance in Signed Bipartite Networks
Knowledge Graph Embedding with Triple Context
Effective Virtual Design of Multi-Dimensional Data Models and Interfaces
A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers' Behavioral Prediction
Khronos: A Real-Time Indexing Framework for Time Series Databases on Large-Scale Performance Monitoring Systems
Provenance-based refresh in data-oriented workflows
FrameIT Reloaded: Serious Math Games from Modular Math Ontologies
Finding dimensions for queries
PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System
FOCI: Flexible Organizer for Competitive Intelligence
Semi-Supervised Graph-to-Graph Translation
SKIF: a data imputation framework for concept drifting data streams
GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning
High-performing feature selection for text classification
Mining Generalised Disjunctive Association Rules
Neighborhood Interaction Attention Network for Link Prediction
Information passing in online recommendation
Speculative Query Evaluation over Databases of Plans
Correct Me If I'm Wrong: Fixing Grammatical Errors by Preposition Ranking
SOUP: A Unified Shopping Query Suggestion Framework to Optimize Language Model with User Preference
Learning to Extract Information From Text Based on User-Provided Examples
Multimedia summarization for trending topics in microblogs
Beyond the stars: exploiting free-text user reviews to improve the accuracy of movie recommendations
A Use-Case Specific Dataset for Measuring Dimensions of Responsible Performance in LLM-generated Text
Focused crawling for both topical relevance and quality of medical information
Instant foodie: predicting expert ratings from grassroots
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning
CStory: A Chinese Large-scale News Storyline Dataset
Text classification from positive and unlabeled documents
Multi-Factors Aware Dual-Attentional Knowledge Tracing
Independent Distribution Regularization for Private Graph Embedding
Visual Query and Analysis Tool of the Object-Relational GIS Framework
If you are happy and you know it... tweet
Web page clustering enhanced by summarization
Zero-shot video retrieval using content and concepts
Resource-aware kernel density estimators over streaming data
Spatiotemporal-aware Session-based Recommendation with Graph Neural Networks
To stay or not to stay: modeling engagement dynamics in social graphs
Permutation indexing: fast approximate retrieval from large corpora
Fast metadata-driven multiresolution tensor decomposition
The Utility of Context When Extracting Entities From Legal Documents
Recommending items to users: an explore/exploit perspective
PyLate: Flexible Training and Retrieval for Late Interaction Models
Tight Bounds for Jensen's Gap with Applications to Variational Inference
A Node-Aware Dynamic Quantization Approach for Graph Collaborative Filtering
Synerise Monad - Real-Time Multimodal Behavioral Modeling
Efficient Trajectory Similarity Computation with Contrastive Learning
Info-Wild: Knowledge Extraction and Management for Wildlife Conservation
Building Natural Language Interface for Product Search
Commonsense Knowledge Base Completion with Relational Graph Attention Network and Pre-trained Language Model
Measuring and Comparing the Consistency of IR Models for Query Pairs with Similar and Different Information Needs
Retrieving answers from frequently asked questions pages on the web
Expected reciprocal rank for graded relevance
Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation
Knowledge-inspired Subdomain Adaptation for Cross-Domain Knowledge Transfer
The Enslaved Dataset: A Real-world Complex Ontology Alignment Benchmark using Wikibase
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima
Directly optimizing evaluation measures in learning to rank based on the clonal selection algorithm
Identifying salient entities in web pages
Fine-Grained Geolocalization of User-Generated Short Text based on Weight Probability Model
SemaFor: semantic document indexing using semantic forests
Building Natural Language Processing Applications with EasyNLP
Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge
Socialtagger - collaborative tagging for blogs in the long tail
When Language Shapes Thought: Cross-Lingual Transfer of Factual Knowledge in Question Answering
Minimizing Spectral Radius of Non-Backtracking Matrix by Edge Removal
Prediction of Scaffold Proteins based on Protein Interaction and Domain Architectures
Hierarchical Modeling and Shrinkage for User Session LengthPrediction in Media Streaming
Large Language Models Enhanced Collaborative Filtering
Predicting Success of a Persuasion through Joint Modeling of Utterance Categorization
Context Matters: Enhancing Sequential Recommendation with Context-aware Diffusion-based Contrastive Learning
Learning from past queries for resource selection
Tracking Temporal Dynamics of Purchase Decisions via Hierarchical Time-Rescaling Model
BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising
General Time Transformer: an Encoder-only Foundation Model for Zero-Shot Multivariate Time Series Forecasting
Leveraging collective knowledge
HAMUR: Hyper Adapter for Multi-Domain Recommendation
Entire Cost Enhanced Multi-Task Model for Online-to-Offline Conversion Rate Prediction
Application of Deep Clustering Algorithms
Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization
Towards Efficient Dissemination of Linked Data in the Internet of Things
Improved String Matching Under Noisy Channel Conditions
Fast candidate generation for two-phase document ranking: postings list intersection with bloom filters
A Non-negative Symmetric Encoder-Decoder Approach for Community Detection
Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection
Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs
Data extraction from the web using wild card queries
Neural Formatting for Spreadsheet Tables
On Query-Update Independence for SPARQL
An Optimal Online Algorithm For Retrieving Heavily Perturbed Statistical Databases In The Low-Dimensional Querying Model
A Probabilistic Rating Auto-encoder for Personalized Recommender Systems
Trust, authority and popularity in social information retrieval
Stochastic Subgraph Neighborhood Pooling for Subgraph Classification
Proactive learning: cost-sensitive active learning with multiple imperfect oracles
Generating a Dynamic Hypertext Environment with n-gram Analysis
Skipping Word: A Character-Sequential Representation based Framework for Question Answering
Towards Stochastic Simulations of Relevance Profiles
MailRank: using ranking for spam detection
A New Approach to Compute CNNs for Extremely Large Images
Simplex2vec Backward: From Vectors Back to Simplicial Complex
Towards real-time measurement of customer satisfaction using automatically generated call transcripts
RottenReviews: Benchmarking Review Quality with Human and LLM-Based Judgments
Proceedings of the 2013 International Workshop on Data Management & Analytics for Healthcare, DARE 2013, San Francisco, California, USA, November 1, 2013
PCT-CycleGAN: Paired Complementary Temporal Cycle-Consistent Adversarial Networks for Radar-Based Precipitation Nowcasting
A Topic Model Based on Poisson Decomposition
Mining conserved XML query paths for dynamic-conscious caching
Accurate Online Tensor Factorization for Temporal Tensor Streams with Missing Values
Discovering Interesting Cycles in Directed Graphs
Extraction and integration of web data by end-users
Mathematical equation retrieval using plain words as a query
Compressing tags to find interesting media groups
An Uncertainty-Aware Imputation Framework for Alleviating the Sparsity Problem in Collaborative Filtering
Towards Equitable Coreset Selection: Addressing Challenges Under Class Imbalance
Automatic scoring of online discussion posts
Effective and efficient similarity search in time series
LLM-Enhanced Linear Autoencoders for Recommendation
SEQUEL: query completion via pattern mining on multi-column structural data
Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence
Production information management for batch manufacturing plants based on ECA mechanism and view generation
CoreDB: a Data Lake Service
BioDIFF: an effective fast change detection algorithm for genomic and proteomic data
Click patterns: an empirical representation of complex query intents
Quantum Split Learning for Privacy-Preserving Information Management
Information extraction meets relation databases
Utilizing a geometry of context for enhanced implicit feedback
Improving Relevance Feedback in the Vector Space Model
Fair Allocation in Online Markets
Abnormal Event Detection via Heterogeneous Information Network Embedding
Re-call and Re-cognition in Episode Re-retrieval: A User Study on News Re-finding a Fortnight Later
RotaryDS: Fast Storage for Massive Data Streams via a Rotation Storage Model
User Recommendation in Social Metaverse with VR
Working Towards the Ideal Search History Interface
A Theoretical Framework on the Ideal Number of Classifiers for Online Ensembles in Data Streams
Finding highly correlated pairs efficiently with powerful pruning
Pooled Evaluation Over Query Variations: Users are as Diverse as Systems
Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19
Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansion
Semantic similarity over the gene ontology: family correlation and selecting disjunctive ancestors