yusuke1997/dblp-id-title huggingface dataset:
Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks
GLFNet: Global and Local Frequency-domain Network for Long-term Time Series Forecasting
Towards Efficient Temporal Graph Learning: Algorithms, Frameworks, and Tools
DESERE: The 2nd Workshop on Decentralized Search and Recommendation
RxNet: Rx-refill Graph Neural Network for Overprescribing Detection
Spherical Graph Embedding for Item Retrieval in Recommendation System
Efficient algorithms for approximate member extraction using signature-based inverted lists
A probabilistic relevance propagation model for hypertext retrieval
Merging Techniques for Performing Data Fusion on the Web
ADMP-GNN: Adaptive Depth Message Passing GNN
LB-CGM: Latent Based Conditional Generative Model with Reliable Distribution Prediction
PIKM 2012: 5th ACM workshop for PhD students in information and knowledge management
Registrations vs Redefinitions in Mizar
Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network
Result-size estimation for information-retrieval subqueries
Private Analysis of Infinite Data Streams via Retroactive Grouping
An Explainable Deep Fusion Network for Affect Recognition Using Physiological Signals
Fast top-k simple shortest paths discovery in graphs
ExSearch: a novel vertical search engine for online barter business
On the selectivity of multidimensional routing indices
Learning User Preferences and Understanding Calendar Contexts for Event Scheduling
SAX: a privacy preserving general pupose methodapplied to detection of intrusions
Zoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range
Uncovering Fake Likers in Online Social Networks
Proceedings of the Second International CIKM Workshop on Cloud Data Management, CloudDB 2010, Toronto, Ontario, Canada, October 30, 2010
Growing Graphs from Hyperedge Replacement Graph Grammars
Iterative relevance feedback with adaptive exploration/exploitation trade-off
StaticGreedy: solving the scalability-accuracy dilemma in influence maximization
Quality-Aware Ranking of Arguments
TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark
Searching and Stopping: An Analysis of Stopping Rules and Strategies
StableBuffer: optimizing write performance for DBMS applications on flash devices
Information Retrieval from Hypermedia, with a Navigable Overview, at the End of Primary School
Reply With: Proactive Recommendation of Email Attachments
ESPRESSO: Privacy-Preserving Keyword Search on Decentralized Data with Differential Visibility Constraints
1st Workshop on Multimodal Search and Recommendations (CIKM MMSR '24)
VHAKG: A Multi-modal Knowledge Graph Based on Synchronized Multi-view Videos of Daily Activities
Enterprise Discussion Analysis
Mining & Summarizing E-petitions for Enhanced Understanding of Public Opinion
More Than One: A Cluster-Prototype Matching Framework for Zero-Shot Learning
Topic-Aware Contrastive Learning and K-Nearest Neighbor Mechanism for Stance Detection
2nd Workshop on Knowledge-aware and Conversational Recommender Systems - KaRS
Evaluation for operational IR applications: generalizability and automation
Harvesting facts from textual web sources by constrained label propagation
Predicting trends in social networks via dynamic activeness model
Use of Interpersonal Deception Theory in Counter Social Engineering
Financial Entity Record Linkage with Random Forests
Binary Interpolation Search for Solution Mapping on Broadcast and On-demand Channels in a Mobile Computing Environment
CRUISE-Screening: Living Literature Reviews Toolbox
MPMRC-MNER: A Unified MRC framework for Multimodal Named Entity Recognition based Multimodal Prompt
Leveraging Multiple GPUs and CPUs for Graphlet Counting in Large Networks
Detecting Promotion Campaigns in Query Auto Completion
Structure and semantics for expressive text kernels
MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation
One is enough: distributed filtering for duplicate elimination
Powering COVID-19 Community Q&A with Curated Side Information
Collaborative Prediction for Multi-entity Interaction With Hierarchical Representation
Towards the Gradient Vanishing, Divergence Mismatching and Mode Collapse of Generative Adversarial Nets
Short Text Entity Linking with Fine-grained Topics
Scoring missing terms in information retrieval tasks
Effectively Capturing Label Correlation for Tabular Multi-Label Classification
Cross-domain sparse coding
Entropy-based histograms for selectivity estimation
Parallel Knowledge Enhancement based Framework for Multi-behavior Recommendation
On the estimation of frequent itemsets for data streams: theory and experiments
Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing
An approximate multi-word matching algorithm for robust document retrieval
The verity federated infrastructure
Inferring hierarchical descriptions
Multi-document topic segmentation
Anything You Can Do, I Can Do Better: Finding Expert Teams by CrewScout
The Impact of External Sources on the Friedkin-Johnsen Model
Tumblr Blog Recommendation with Boosted Inductive Matrix Completion
The Battle Against Online Harmful Information: The Cases of Fake News and Hate Speech
Adaptation Speed Analysis for Fairness-aware Causal Models
Characteristics of document similarity measures for compliance analysis
A Fatigue Strength Predictor for Steels Using Ensemble Data Mining: Steel Fatigue Strength Predictor
Query-dominant User Interest Network for Large-Scale Search Ranking
SGFL-Attack: A Similarity-Guidance Strategy for Hard-Label Textual Adversarial Attack Based on Feedback Learning
Experience and Evidence are the eyes of an excellent summarizer! Towards Knowledge Infused Multi-modal Clinical Conversation Summarization
Improving Entity Ranking for Keyword Queries
VQA-Induct: Instruction Induction for Visual Question Answering
Causally Attentive Collaborative Filtering
Revisiting the future of reading: the research and design behind XFR
Online metrics for web search relevance
Error Detection and Constraint Recovery in Hierarchical Multi-Label Classification without Prior Knowledge
Adversarial Structured Neural Network Pruning
Automation of Text-Based Economic Indicator Construction: A Pilot Exploration on Economic Policy Uncertainty Index
Distributed PageRank computation based on iterative aggregation-disaggregation methods
Can a Chatbot be Useful in Childhood Cancer Survivorship? Development of a Chatbot for Survivors of Childhood Cancer
Quantum Cognition-Inspired EEG-based Recommendation via Graph Neural Networks
TuneR: Fine Tuning of Rule-based Entity Matchers
Cufres : clustering using fuzzy representative eventsselection for the fault recognition problem intelecommunication networks
Improving document representations using relevance feedback: the RFA algorithm
Enhancing expertise retrieval using community-aware strategies
Assigning documents to master sites in distributed search
Expert-in-the-loop AI for Polymer Discovery
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction
Probabilistic Dynamic Non-negative Group Factor Model for Multi-source Text Mining
Opinion retrieval from blogs
Online Adaptive Passive-Aggressive Methods for Non-Negative Matrix Factorization and Its Applications
Mapping web pages to database records via link paths
Exploring Annotated 3D Environments on the World Wide Web
WaveCluster with Differential Privacy
Improving Downstream Task Performance by Treating Numbers as Entities
QueryBridge: One Million Annotated Questions with SPARQL Queries - Dataset for Question Answering over Knowledge Graphs
A Capsule Network-based Model for Learning Node Embeddings
BidH: A Bidirectional Hierarchical Model for Nested Named Entity Recognition
Automatic analysis of call-center conversations
Applying Semantic Web Technologies for Improving the Visibility of Tourism Data
Probabilistic semantic similarity measurements for noisy short texts using Wikipedia entities
Predicting age and gender in online social networks
Impact of Domain and User's Learning Phase on Task and Session Identification in Smart Speaker Intelligent Assistants
Shape-aware Graph Spectral Learning
Targeted Influence with Community and Gender-Aware Seeding
Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture
Controllable Information Sharing for User Accounts Linkage across Multiple Online Social Networks
AMADA: web data repositories in the amazon cloud
An experimental study on syntactic and semantic annotations in text retrieval
Estimation, sensitivity, and generalization in parameterized retrieval models
Adaptive Commitment for Distributed Real-Time Transactions
Improving German News Clustering with Contrastive Learning
Urbanity: A System for Interactive Exploration of Urban Dynamics from Streaming Human Sensing Data
Fairness of Machine Learning in Search Engines
Best First Over-Sampling for Multilabel Classification
Maintaining discriminatory power in quantized indexes
Rank List Sensitivity of Recommender Systems to Interaction Perturbations
A practitioner's view on PaIR
Asterisk-Shaped Features for Tabular Data
IM Balanced: Influence Maximization Under Balance Constraints
Nugget discovery in visual exploration environments by query consolidation
Natural event summarization
Interpreting keyword queries over web knowledge bases
TinyLex: static n-gram index pruning with perfect recall
Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization
Exploiting trustors as well as trustees in trust-based recommendation
Towards Scale-out Capability on Social Graphs
SciClops: Detecting and Contextualizing Scientific Claims for Assisting Manual Fact-Checking
Efficient hierarchical clustering of large high dimensional datasets
A Preliminary Exploration of Extractive Multi-Document Summarization in Hyperbolic Space
LITSEEK: public health literature search by metadata enhancement with external knowledge bases
Efficient set-correlation operator inside databases
VN Network: Embedding Newly Emerging Entities with Virtual Neighbors
Patent information retrieval in practice: industry use cases
Rubato DB: A Highly Scalable Staged Grid Database System for OLTP and Big Data Applications
Exploiting Pre-trained Models for Drug Target Affinity Prediction with Nearest Neighbors
Empirical Analysis of Impact of Query-Specific Customization of nDCG: A Case-Study with Learning-to-Rank Methods
FiBiNet++: Reducing Model Size by Low Rank Feature Interaction Layer for CTR Prediction
Graph Anomaly Detection with Adaptive Node Mixup
On Migratory Behavior in Video Consumption
Mining coherent patterns from heterogeneous microarray data
Closed-form Machine Unlearning for Matrix Factorization
Learning thread reply structure on patient forums
Vulnerability-Aware Hardening for Secure Privacy-Preserving Record Linkage
Unsupervised Feature Selection with Joint Clustering Analysis
A Statistical Model for Scientific Readability
Adaptive web mining of bilingual lexicons for cross language information retrieval
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation
Randomized Bit Vector: Privacy-Preserving Encoding Mechanism
Domain-Agnostic Contrastive Representations for Learning from Label Proportions
Fast webpage classification using URL features
Towards a unified solution: data record region detection and segmentation
Single-Cell Multimodal Prediction via Transformers
Causal Learning Empowered OD Prediction for Urban Planning
QFilter: fine-grained run-time XML access control via NFA-based query rewriting
Dynamic faceted search for discovery-driven analysis
When User Engagement Meets Structural Cohesiveness: A Decay-Driven Approach to Hypergraph Cores
Reinforced Continual Learning for Graphs
Automatic detection of treatment relationships for patent retrieval
MI4Rec: Pretrained Language Model based Cold-Start Recommendation with Meta-Item Embeddings
Twitter user behavior understanding with mood transition prediction
Credibility-based product ranking for C2C transactions
Query-focused multi-document summarization based on query-sensitive feature space
On the efficient evaluation of relaxed queries in biological databases
Demonstration of a Multi-agent Framework for Text to SQL Applications with Large Language Models
Outlier detection using centrality and center-proximity
Self-Supervision Improves Diffusion Models for Tabular Data Imputation
Demographic context in web search re-ranking
The Characteristics of Digital Video and Considerations of Designing Video Databases
Preserving location and absence privacy in geo-social networks
Predicting retweet count using visual cues
ASTERYX: A model-Agnostic SaT-basEd appRoach for sYmbolic and score-based eXplanations
Leveraging tagging for neighborhood-aware probabilistic matrix factorization
Information Diffusion at Workplace
Application and Evaluation of Large Language Models for the Generation of Survey Questions
How about utilizing ordinal information from the distribution of unlabeled data
Local anomaly descriptor: a robust unsupervised algorithm for anomaly detection based on diffusion space
Building Industry-specific Knowledge Bases
Adaptive Feature Sampling for Recommendation with Missing Content Feature Values
HCL4QC: Incorporating Hierarchical Category Structures Into Contrastive Learning for E-commerce Query Classification
Genre identification and goal-focused summarization
Learning from Novel Knowledge: Continual Few-shot Knowledge Graph Completion
Empowering Shoppers with Event-focused Search
Of parts and relationships: an unending quest
Fast Human Action Recognition via Millimeter Wave Radar Point Cloud Sequences Learning
RoadRank: Traffic Diffusion and Influence Estimation in Dynamic Urban Road Networks
Unified Knowledge Prompt Pre-training for Customer Service Dialogues
Characterizing commercial intent
DOLAP 2015 Workshop Summary
Community-Based Network Alignment for Large Attributed Network
What is the Shape of a Cluster?: Structural Comparisons of Document Clusters
Effects of search success on search engine re-use
Understanding Event Predictions via Contextualized Multilevel Feature Learning
A peer's-eye view: network term clouds in a peer-to-peer system
FinS-Pilot: A Benchmark for Online Financial RAG System
MithraLabel: Flexible Dataset Nutritional Labels for Responsible Data Science
Test-Time Embedding Normalization for Popularity Bias Mitigation
AutoCombo: Automatic Malware Signature Generation Through Combination Rule Mining
Causal Discovery in Temporal Domain from Interventional Data
Ontology-based data management
CDMW 2012 - city data management workshop: workshop summary
A Neural Collaborative Filtering Model with Interaction-based Neighborhood
Discriminative Language Model via Self-Teaching for Dense Retrieval
Multiple Presentations of WWW Documents Using Style Sheets
A new operator for efficient stream-relation join processing in data streaming engines
Learning Counterfactual Explanations with Intervals for Time-series Classification
A Mask-based Output Layer for Multi-level Hierarchical Classification
Multi-task Multi-view Learning for Heterogeneous Tasks
GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation
EEG-Oriented Self-Supervised Learning and Cluster-Aware Adaptation
STDI-Net: Spatial-Temporal Network with Dynamic Interval Mapping for Bike Sharing Demand Prediction
Causal Probing for Dual Encoders
Multi-media RISSC Informatics: Retrieval of Information with Simple Structural Components (Part I: The Architecture)
Dynamic Reserve Price Design with Distributed Solving Algorithm
Finding food entity relationships using user-generated data in recipe service
22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013
Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples
Proceeding of the ACM First International Workshop on Privacy and Anonymity for Very Large Databases, CIKM-PAVLAD 2009, Hong Kong, China, November 6, 2009
Quality of Service Transferred to Information Retrieval: The Adaptive Information Retrieval System
Dangerous Language Habits! Exploiting Code-Mixing for Backdoor Attacks on NLP Models
Proceedings of the 8th Workshop on Ph.D. Workshop in Information and Knowledge Management, PIKM 2015, Melbourne, Australia, October 19, 2015
Destination-aware Task Assignment in Spatial Crowdsourcing
Retrieval-Oriented Knowledge for Click-Through Rate Prediction
Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach
User oriented tweet ranking: a filtering approach to microblogs
Securing XML data in third-party distribution systems
Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction
Privacy preserving feature selection for distributed data using virtual dimension
Primates: a privacy management system for social networks
Classification with Active Learning and Meta-Paths in Heterogeneous Information Networks
Time-aware topic recommendation based on micro-blogs
Conflict of Interest Declaration and Detection System in Heterogeneous Networks
Automatic metadata extraction from multilingual enterprise content
Data Broadcasting Strategies over Multiple Unreliable Wireless Channels
Evaluating Differentially Private Generation of Domain-Specific Text
On Continuously Matching of Evolving Graph Patterns
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation
Explaining Sentiment Spikes in Twitter
Collaborative Proxy System for Distributed Web Content Transcoding
Tilia: Enhancing LIME with Decision Tree Surrogates
MapReduce Triangle Enumeration With Guarantees
CGStream: continuous correlated graph query for data streams
SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation
Simultaneous realization of page-centric communication and search
A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery
Efficient Computation of Polynomial Explanations of Why-Not Questions
Crawling the web for structured documents
Xmas: An Extensible Main-Memory Storage System
Adaptive Graph Neural Diffusion for Traffic Demand Forecasting
Mining Infrequent High-Quality Phrases from Domain-Specific Corpora
Requirement-Based Data Cube Schema Design
Fast spatial co-location mining without cliqueness checking
Assessing confidence of knowledge base content with an experimental study in entity resolution
A Model-Centric Explainer for Graph Neural Network based Node Classification
MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation
Reorganizing Web Sites Based on User Access Patterns
Learning to Differentiate Pairwise-Argument Representations for Implicit Discourse Relation Recognition
Locality Aware Temporal FMs for Crime Prediction
Watch Your Step: A Fine-Grained Evaluation Framework for Multi-hop Knowledge Editing in Large Language Models
Efficiently clustering transactional data with weighted coverage density
Rethinking Masked Image Modeling for Ultrasound Image Denoising
k nearest neighbor classification across multiple private databases
Exploiting Multiple Embeddings for Chinese Named Entity Recognition
Toxicity Predictions using Compound Descriptions
Privacy Preserving Data Anonymization of Spontaneous ADE Reporting System Dataset
MRPacker: an SQL to mapreduce optimizer
Multi-DSI: Non-deterministic Identifier and Concept Alignment for Differentiable Search Index
Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks
Efficient Global Message Passing for Heterophilous Graphs
Predicting individual priorities of shared activities using support vector machines
Review recommendation: personalized prediction of the quality of online reviews
Pattern change discovery between high dimensional data sets
Proceedings of the First Ph.D. Workshop in CIKM, PIKM 2007, Sixteenth ACM Conference on Information and Knowledge Management, CIKM 2007, Lisbon, Portugal, November 9, 2007
Identification of Answer-Seeking Questions in Arabic Microblogs
A Standard for Aligning Mathematical Concepts
Data fusion with estimated weights
LSDS-IR'15: 2015 Workshop on Large-Scale and Distributed Systems for Information Retrieval
Using social data for resume job matching
TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou
Learning Interactions for Social Prediction in Large-scale Networks
Self-supervised Fine-tuning for Efficient Passage Re-ranking
Agenda: Robust Personalized PageRanks in Evolving Graphs
An iterative strategy for pattern discovery in high-dimensional data sets
Efficient Data Augmentation Policy for Electrocardiograms
Enhancing Conversational Dialogue Models with Grounded Knowledge
Converted Data is All You Need for Causal Optimization of e-Commerce Promotions
Modelling and Detecting Changes in User Satisfaction
Revealing comparative advantages in the backbone of science
Understanding Mobile Searcher Attention with Rich Ad Formats
Generative Adversarial Attributed Network Anomaly Detection
Cluster based rank query over multidimensional data streams
Contract-based cloud architecture
Target Interest Distillation for Multi-Interest Recommendation
Fast Outlier Detection in Oblique Subspaces
Constructing Reliable Gradient Exploration for Online Learning to Rank
Portuguese post-OCR Resources for Text Optimisation
DISCO: Comprehensive and Explainable Disinformation Detection
A vertical distance-based outlier detection method with local pruning
The challenge of high recall in biomedical systematic search
Collaborative Filtering Incorporating Review Text and Co-clusters of Hidden User Communities and Item Groups
Finding experts in community-based question-answering services
Age-Aware Guidance via Masking-Based Attention in Face Aging
Proceedings of the 2012 workshop on Data-driven User Behavioral Modelling and Mining from Social Media, DUBMMSM 2012, October 29, 2012, Maui, Hawaii, USA
A visual interface technique for exploring OLAP data with coordinated dimension hierarchies
Concept frequency distribution in biomedical text summarization
Metric-based ontology learning
Ranking in context using vector spaces
Exploring path query results through relevance feedback
CancerKG.ORG - A Web-scale, Interactive, Verifiable Knowledge Graph-LLM Hybrid for Assisting with Optimal Cancer Treatment and Care
Controlling Patent Text Generation by Structural Metadata
Proceedings of the ACM Ninth International Workshop on Data and Text Mining in Biomedical Informatics, DTMBIO 2015, Melbourne, Australia, October 23, 2015
The Other Side of the Same Coin: From Learning-centric Search Systems to Search-centric Learning Systems
Fast on-line index construction by geometric partitioning
ClariLM: Enhancing Open-domain Clarification Ability for Large Language Models
Language-independent sentiment classification using three common words
TrustLOG: The First Workshop on Trustworthy Learning on Graphs
Incorporating variability in user behavior into systems based evaluation
Automated Spatio-Temporal Synchronous Modeling with Multiple Graphs for Traffic Prediction
The downside of markup: examining the harmful effects of CSS and javascript on indexing today's web
Natural language processing for information retrieval: the time is ripe (again)
Can Adversarial Training benefit Trajectory Representation?: An Investigation on Robustness for Trajectory Similarity Computation
On semantic matching of multilingual attributes in relational systems
Pruning Meta-Trained Networks for On-Device Adaptation
A queueing theory based analysis of an agent control mechanism in peer-to-peer information retrieval systems
Dynamic index pruning for effective caching
Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews
Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems
Robust Federated Unlearning