yusuke1997/dblp-id-title huggingface dataset:
Time-Efficient Geo-Obfuscation to Protect Worker Location Privacy over Road Networks in Spatial Crowdsourcing
LLM4IA: Index Advising Via Large Language Models
Gromov-Wasserstein Multi-modal Alignment and Clustering
Extracting Drug-drug Interactions from Biomedical Texts using Knowledge Graph Embeddings and Multi-focal Loss
A Closer Look at Evaluation Measures for Ordinal Quantification
Collaborative Interest Mining Network for Knowledge Graph-based Recommendation
Heterogeneous Graph Neural Networks for Malicious Account Detection
Efficient Fault-Tolerant Group Recommendation Using alpha-beta-core
Question Rewriting for Open-Domain Conversational QA: Best Practices and Limitations
Effective Utilization of Large-scale Unobserved Data in Recommendation Systems
Social Cards Probably Provide For Better Understanding Of Web Archive Collections
Semi-Supervised Max-Sum Clustering
Symbolic Vs Sub-symbolic AI Methods: Friends or Enemies?
Explanation Guided Contrastive Learning for Sequential Recommendation
Minimum-effort driven dynamic faceted search in structured databases
Designing Test Collections for Comparing Many Systems
CRPP: Competing Recurrent Point Process for Modeling Visibility Dynamics in Information Diffusion
Principled Multi-Aspect Evaluation Measures of Rankings
Data Quality-aware Graph Machine Learning
A co-classification framework for detecting web spam and spammers in social media web sites
Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays
Index Filtering and View Materialization in ROLAP Environment
HadoopXML: a suite for parallel processing of massive XML data with multiple twig pattern queries
Partial Relationship Aware Influence Diffusion via a Multi-channel Encoding Scheme for Social Recommendation
Cross-domain Prototype Learning from Contaminated Faces via Disentangling Latent Factors
Location-aware Friend Recommendation in Event-based Social Networks: A Bayesian Latent Factor Approach
Fast and effective histogram construction
Towards a metacognitive approach to credibility
COSCO: A Sharpness-Aware Training Framework for Few-shot Multivariate Time Series Classification
Improving Multi-Scenario Learning to Rank in E-commerce by Exploiting Task Relationships in the Label Space
AdaGCL: Adaptive Subgraph Contrastive Learning to Generalize Large-scale Graph Training
Do ads compete or collaborate?: designing click models with full relationship incorporated
Modelling User Behavior Dynamics with Embeddings
On Smoothed Explanations: Quality and Robustness
Accelerating Discovery Science with an Internet of FAIR Data and Services
ConsensNet: A Unified Consensus-Centric Framework for Incomplete Multi-View Clustering
Predicting the uncertainty of sentiment adjectives in indirect answers
From Community Search to Community Understanding: A Multimodal Community Query Engine
A Self-Learning and Online Algorithm for Time Series Anomaly Detection, with Application in CPU Manufacturing
TKHist: Cardinality Estimation for Join Queries via Histograms with Dominant Attribute Correlation Finding
Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness
Efficient Sparse Matrix Multiplication on GPU for Large Social Network Analysis
Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems
Learning Points and Routes to Recommend Trajectories
Social media mining for drug safety signal detection
Understanding Default Behavior in Online Lending
Web opinion poll: extracting people's view by impression mining from the web
Utilizing Contrastive Learning To Address Long Tail Issue in Product Categorization
ParaStyleTTS: Toward Efficient and Robust Paralinguistic Style Control for Expressive Text-to-Speech Generation
An Adaptive Framework for Multistream Classification
Exploration and Visualization of a Legal Knowledge Graph: A Human-Centered Approach
FashionLOGO: Prompting Multimodal Large Language Models for Fashion Logo Embeddings
Neural Collaborative Ranking
Bridging the gap: complex networks meet information and knowledge management
Neural Differential Equations for Continuous-Time Analysis
MATA*: Combining Learnable Node Matching with A* Algorithm for Approximate Graph Edit Distance Computation
LTE4G: Long-Tail Experts for Graph Neural Networks
Sensitivity Review of Large Collections by Identifying and Prioritising Coherent Documents Groups
Selecting Walk Schemes for Database Embedding
Quickmig: automatic schema matching for data migration projects
Clustering web queries
Ebooks children would want to read and engage with
X-Troll: eXplainable Detection of State-Sponsored Information Operations Agents
Generating better concept hierarchies using automatic document classification
A probabilistic approach to nearest-neighbor classification: naive hubness bayesian kNN
A comparison of user and system query performance predictions
The Title Says It All: A Title Term Weighting Strategy For eCommerce Ranking
Outlier Detection in Sparse Data with Factorization Machines
Extracting structured information from free-text medication prescriptions using dependencies
Cleanix: A Big Data Cleaning Parfait
Scalable Dynamic Embedding Size Search for Streaming Recommendation
RELINK: Edge Activation for Closed Network Influence Maximization via Deep Reinforcement Learning
Mining the Web to Create Minority Language Corpora
Content-Based Retrieval of MP3 Music Objects
Adaptive Re-Ranking with a Corpus Graph
Gradient-based Signatures for Efficient Similarity Search in Large-scale Multimedia Databases
Synergy of Database Techniques and Machine Learning Models for String Similarity Search and Join
Effective Clean-Label Backdoor Attacks on Graph Neural Networks
Proceedings of the Sixth Workshop on Ph.D. Students in Information and Knowledge Management, PIKM@CIKM 2013, San Francisco, CA, USA, November 1, 2013
Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising
Representation and Interpretation of Fuzzy Information
Dual Intents Graph Modeling for User-centric Group Discovery
DB-IR integration and its application to a massively-parallel search engine
Social navigation and annotation for electronic books
Mining Knowledge at Multiple Concept Levels
Semi-supervised Consensus Clustering Based on Frequent Closed Itemsets
REAPER: Reasoning based Retrieval Planning for Complex RAG Systems
Spatio-Temporal Wavelet Enhanced Attention Mamba for Stock Price Forecasting
Grounded Feature Selection for Biomedical Relation Extraction by the Combinative Approach
Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids
Learning to rank with groups
STGIN: Spatial-Temporal Graph Interaction Network for Large-scale POI Recommendation
Stream Aggregation Through Order Sampling
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, Arlington, Virginia, USA, November 6-11, 2006
BeLink: Querying Networks of Facts, Statements and Beliefs
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering
LEI: Reinforced Multi-Object Cache Admission
Meta-Analysis for Retrieval Experiments Involving Multiple Test Collections
Ranking Enhanced Dialogue Generation
CyberRank: Knowledge Elicitation for Risk Assessment of Database Security
Faceted search and browsing of audio content on spoken web
SOIRE: a service-oriented IR evaluation architecture
Learning deep structured semantic models for web search using clickthrough data
An Attention-based Collaboration Framework for Multi-View Network Representation Learning
Training Neural Networks with Random Noise Images for Adversarial Robustness
MiCRon: Making Sense of News via Relationship Subgraphs
Nationality Classification Using Name Embeddings
Querying graphs with preferences
Helix: DGA Domain Embeddings for Tracking and Exploring Botnets
ImG-complex: graph data model for topology of unstructured meshes
An analysis of information diffusion in the blog world
Enhanced Template-Free Reaction Prediction with Molecular Graphs and Sequence-based Data Augmentation
Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering
MGSTDN: Multi-Granularity Spatial-Temporal Diffusion Network for Next POI Recommendation
Annotation propagation revisited for key preserving views
Swoogle: a search and metadata engine for the semantic web
CAOFES: an ontological framework for web service retrieval
RL-ISLAP: A Reinforcement Learning Framework for Industrial-Scale Linear Assignment Problems at Alipay
Mining rules to explain activities in videos
Amnesic online synopses for moving objects
Newsfeed Filtering and Dissemination for Behavioral Therapy on Social Network Addictions
Social Factors in Closed-Network Content Consumption
A Compare-Aggregate Model with Dynamic-Clip Attention for Answer Selection
PDFMeat: managing publications on the semantic desktop
Community Mitigation: A Data-driven System for COVID-19 Risk Assessment in a Hierarchical Manner
LAMRec: Label-aware Multi-view Drug Recommendation
SolarMAE: A Unified framework for Regional Centralized and Distributed Solar Power Forecasting with Weather Pre-training
Extracting cross references from life science databases for search result ranking
TCFMamba: Trajectory Collaborative Filtering Mamba for Debiased Point-of-Interest Recommendation
Approximate Event Pattern Matching over Heterogeneous and Dirty Sources
Improving Text-based Similar Product Recommendation for Dynamic Product Advertising at Yahoo
GRAFT: an approximate graphlet counting algorithm for large graph analysis
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching
Hierarchical auto-tagging: organizing Q&A knowledge for everyone
FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning
Fine-Grained Graph Rationalization
Robust Embedded Deep K-means Clustering
DUBMMSM'12: international workshop on data-driven user behavioral modeling and mining from social media
Heterogeneous Influence Maximization in User Recommendation
Efficient itemset generator discovery over a stream sliding window
Treatment Effect Estimation across Domains
Efficient Second-Order Optimization for Neural Networks with Kernel Machines
POSHAN: Cardinal POS Pattern Guided Attention for News Headline Incongruence
C-FAITH: A Chinese Fine-Grained Benchmark for Automated Hallucination Evaluation
Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching
Active Learning for Streaming Networked Data
Graph Representation Learning via Adaptive Multi-layer Neighborhood Diffusion Contrast
Challenges of Multileaved Comparison in Practice: Lessons from NTCIR-13 OpenLiveQ Task
Subspace Co-clustering with Two-Way Graph Convolution
UQJG: Identifying Transactions that Collaborate to Violate an SQL Assertion
Interpretable Fake News Detection with Graph Evidence
A Deep Relevance Matching Model for Ad-hoc Retrieval
Generative Adversarial Zero-Shot Learning for Cold-Start News Recommendation
Supervised Nested PageRank
One-shot Transfer Learning for Population Mapping
MLadder: An Online Training System for Machine Learning and Data Science Education
Learning a two-stage SVM/CRF sequence classifier
Incorporating Risk-Sensitiveness into Feature Selection for Learning to Rank
Transferring knowledge with source selection to learn IR functions on unlabeled collections
Shaping communities out of triangles
Digital Information Retrieval
System-Auditing, Data Analysis and Characteristics of Cyber Attacks for Big Data Systems
Convolutional Neural Network-based a Novel Deep Trend Following Strategy for Stock Market Trading
iLoc: a framework for incremental location-state acquisition and prediction based on mobile sensors
MU-OT: Effective and Unified Machine Unlearning with Optimal Transport for Feature Realignment
Towards Robust Vision Transformer via Masked Adaptive Ensemble
Optimizing continuous multijoin queries over distributed streams
Improving document clustering using automated machine translation
Regularising Factorised Models for Venue Recommendation using Friends and their Comments
CyberBOT: Ontology-Grounded Retrieval Augmented Generation for Reliable Cybersecurity Education
Efficient feature weighting methods for ranking
Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation
Contrastive Knowledge Graph Error Detection
Data integration for the semantic web with full preferences
RApID: A System for Real-time Analysis of Information Diffusion in Twitter
GeoIndia V2: A Unified Graph and Language Model for Context-Aware Geocoding
Assessing quality score of Wikipedia article using mutual evaluation of editors and texts
ERkNN: efficient reverse k-nearest neighbors retrieval with local kNN-distance estimation
STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints
The Challenge of Personal Attribute Preferences in Recommending Diverse, Reliable News Sources
GiraphAsync: Supporting Online and Offline Graph Processing via Adaptive Asynchronous Message Processing
Exploiting web reviews for generating customer service surveys
More is not Always Better: The Negative Impact of A-box Materialization on RDF2vec Knowledge Graph Embeddings
Locate Who You Are: Matching Geo-location to Text for User Identity Linkage
Rapid Association Rule Mining
Topic evolution and social interactions: how authors effect research
iFACT: An Interactive Framework to Assess Claims from Tweets
HiCAN: Hierarchical Convolutional Attention Network for Sequence Modeling
Sparse Kernel Clustering of Massive High-Dimensional Data sets with Large Number of Clusters
Conflict ontology enrichment based on triggers
PeriodicMove: Shift-aware Human Mobility Recovery with Graph Neural Network
Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection
Incremental Graph Classification by Class Prototype Construction and Augmentation
Climbing the app wall: enabling mobile app discovery through context-aware recommendations
Deep Ordinal Neural Network for Length of Stay Estimation in the Intensive Care Units
Improving Adversarial Transferability via Frequency-Guided Sample Relevance Attack
Demonstrating intelligent crawling and archiving of web applications
Dynamic multi-faceted topic discovery in twitter
End-to-End CNN-CRFs for Multi-date Crop Classification Using Multitemporal Remote Sensing Image Sequences
AESTHETICS: Analytics with Strings, Things, and Cats
AdaTM: Fine-grained Urban Flow Inference with Adaptive Knowledge Transfer across Multiple Cities
Latent Coreset Sampling based Data-Free Continual Learning
Growing Story Forest Online from Massive Breaking News
XEL: Extended Ephemeral Logging for Log Storage Management
Efficient evaluation of parameterized pattern queries
Identifying Disinformation from Online Social Media via Dynamic Modeling across Propagation Stages
3M-Health: Multimodal Multi-Teacher Knowledge Distillation for Mental Health Detection
Uncovering Semantic Bias in Neural Network Models Using a Knowledge Graph
In Situ Answer Sentence Selection at Web-scale
AntOpt: A Multi-functional Large-scale Decision Optimization Platform
MODRL-TA: A Multi-Objective Deep Reinforcement Learning Framework for Traffic Allocation in E-Commerce Search
Exploring the Impact of Warnings on User Perception towards AI-Generated Content in Search Results
The role of syntactic features in protein interaction extraction
A framework for evaluating database keyword search strategies
Subject-oriented top-k hot region queries in spatial dataset
Social tags: meaning and suggestions
Blind-Match: Efficient Homomorphic Encryption-Based 1: N Matching for Privacy-Preserving Biometric Identification
Models for Metamath
Make Social Networks Clean Again: Graph Embedding and Stacking Classifiers for Bot Detection
Query Auto-Completion for Rare Prefixes
Prototypical Contrastive Learning and Adaptive Interest Selection for Candidate Generation in Recommendations
Beyond the session timeout: automatic hierarchical segmentation of search topics in query logs
Ensemble Learned Vaccination Uptake Prediction using Web Search Queries
Practicing the Art of Data Science
Higher-Order Information Matters: A Representation Learning Approach for Social Bot Detection
The Cycic Friends Network: Getting Cyc agents to reason together
Entity resolution using search engine results
Triplet losses-based matrix factorization for robust recommendations
Proceedings of the 2nd International Workshop on Patent Information Retrieval, PaIR '09, Hong Kong, SAR, China, November 6, 2009
Improving retrievability of patents with cluster-based pseudo-relevance feedback documents selection
A General Method for Spatial Reasoning in Spatial Databases
Explainable Recommender Systems via Resolving Learning Representations
DT-FedSDC: A Dual-Target Federated Framework with Semantic Enhancement and Disentangled Contrastive Learning for Cross-Domain Recommendation
BagBoo: a scalable hybrid bagging-the-boosting model
Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels
Structuring Data Science Automation: A Competency-Aware Taxonomy Approach
Building Effective Query Classifiers: A Case Study in Self-harm Intent Detection
The Rich and the Poor: A Markov Decision Process Approach to Optimizing Taxi Driver Revenue Efficiency
Fast and Scalable Outlier Detection with Sorted Hypercubes
Relevance and Effort: An Analysis of Document Utility
Semantic Search at Yahoo!
Query by analogical example: relational search using web search engine indices
Crowdsourced Selection on Multi-Attribute Data
Exploring People's Attitudes and Behaviors Toward Careful Information Seeking in Web Search
Size doesn't always matter: exploiting pageRank for query routing in distributed IR
How Many Truth Levels? Six? One Hundred? Even More? Validating Truthfulness of Statements via Crowdsourcing
Learning better transliterations
Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering
Finding informative commonalities in concept collections
Non-Bayesian Additive Regularization for Multimodal Topic Modeling of Large Collections
A Nonparametric Model for Event Discovery in the Geospatial-Temporal Space
Towards Very-Low Latency Storm Nowcasting through AI-Based On-Board Satellite Data Processing
Mining interesting link formation rules in social networks
Voting with Generative AI for German Compound Splitting in E-commerce Search
Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank
Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications
Exploiting hierarchical relationships in conceptual search
Social and collaborative information seeking: panel
Heterogeneous Components Fusion Network for Load Forecasting of Charging Stations
A probabilistic mixture model for mining and analyzing product search log
A joint model for discovering and linking entities
Behavior-Aware Hypergraph Convolutional Network for Illegal Parking Prediction with Multi-Source Contextual Information
Decoupled Graph Convolution Network for Inferring Substitutable and Complementary Items
Optimal proactive caching in peer-to-peer network: analysis and application
GALGO: Scalable Graph Analytics with a Parallel DBMS
Contrastive Learning on Medical Intents for Sequential Prescription Recommendation
Multi-View Group Anomaly Detection
CGTR: Convolution Graph Topology Representation for Document Ranking
Semantic verification for fact seeking engines
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models
Semantically coherent image annotation with a learning-based keyword propagation strategy
KV-Auditor: Auditing Local Differential Privacy for Correlated Key-Value Estimation
Deep Forest with LRRS Feature for Fine-grained Website Fingerprinting with Encrypted SSL/TLS
Spatio-Temporal Forecasting under Open-World Missingness with Adaptive Mixture-of-Experts
Informing Cyberbullying Research with Social/Psychological Insights
Behavioral Segmentation of Pinterest Users
Clustering and exploring search results using timeline constructions
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases
Multi-faceted ranking of news articles using post-read actions
A Dynamical System on Bipartite Graphs
TCPN: Temporal Pyramidal Recurrent Network with Contrastive Learning for Temporal Knowledge Graph Reasoning
A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion
Investigating the exhaustivity dimension in content-oriented XML element retrieval evaluation
The influence of the document ranking in expert search
Rethinking Attention Mechanism for Spatio-Temporal Modeling: A Decoupling Perspective in Traffic Flow Prediction
Detecting Multiple Periods and Periodic Patterns in Event Time Sequences
Distilling Large Language Models for Text-Attributed Graph Learning
BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network
Movie Fill in the Blank with Adaptive Temporal Attention and Description Update
Rethinking Operators Placement of Stream Data Application in the Edge
Proceedings of the Second Ph.D. Workshop in CIKM, PIKM 2008, Napa Valley, California, USA, October 30, 2008
Catching Social Media Advertisers with Strategy Analysis
Twin-Flow Generative Ranking Network for Recommendation
MGFSG-EE: A Method based on Multi-grained Fusion and Scene Graph Enhancement for Event Extraction
Classification Algorithms for NETNEWS Articles
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer
Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models
Smart Mediators and Intelligent Agents (Panel)
Improving binary classification on text problems using differential word features
Generating informative snippet to maximize item visibility
Margin-based local regression for adaptive filtering
Increasing the Responsiveness of Recommended Expert Collaborators for Online Open Projects
Class Label-aware Graph Anomaly Detection
Workshop on Human-in-the-loop Data Curation
IMaxer: A Unified System for Evaluating Influence Maximization in Location-based Social Networks
Multimodal Banking Dataset: Understanding Client Needs through Event Sequences
Experimental Study of Multivariate Time Series Forecasting Models
Probabilistic Prediction of Privacy Risks in User Search Histories
Imbalance Rectification in Deep Logistic Regression for Multi-Label Image Classification Using Random Noise Samples
From Recommendation to Profile Inference (Rec2PI): A Value-added Service to Wi-Fi Data Mining
Cognitive Diagnosis Focusing on Knowledge Concepts
Spatio-Temporal Sequence Modeling for Traffic Signal Control
Training Heterogeneous Graph Neural Networks using Bandit Sampling
Partial drift detection using a rule induction framework
Bringing order to your photos: event-driven classification of flickr images based on social knowledge
Decomposing background topics from keywords by principal component pursuit
Personalized Video Summarization by Multimodal Video Understanding
A novel approach for privacy mining of generic basic association rules
Modeling Sentiment Evolution for Social Incidents
Efficient mining of max frequent patterns in a generalized environment
Incremental test collections
Location prediction in social media based on tie strength
An Exploration of the Collaborative Networks for Clinical and Academic Domains in AIDS Research: A Spatial Scientometric Approach
WalkingTime: Dynamic Graph Embedding Using Temporal-Topological Flows
Active Rules in Deductive Databases
Shapley Values and Meta-Explanations for Probabilistic Graphical Model Inference
Multimodal Sentiment Analysis with Multi-Perspective Thinking via Large Multimodal Models
Importance weighted passive learning
Decoupled Behavior-based Contrastive Recommendation
Fairness in Language Models: A Tutorial
Value Propagation in Object-Oriented Database Part Hierarchies
SERF: Interpretable Sleep Staging using Embeddings, Rules, and Features
Seeing the Forest for the Trees: Road-Level Insights Assisted Lane-Level Traffic Prediction
Urban Traffic Prediction through the Second Use of Inexpensive Big Data from Buildings