yusuke1997/dblp-id-title huggingface dataset:
Extended Japanese Commonsense Morality Dataset with Masked Token and Label Enhancement
Contrastive Label Correlation Enhanced Unified Hashing Encoder for Cross-modal Retrieval
iTopN: incremental extraction of the N most visible objects
Learning Compositional, Visual and Relational Representations for CTR Prediction in Sponsored Search
Knowledge Management across Formal Libraries
ExPrompt: Augmenting Prompts Using Examples as Modern Baseline for Stance Classification
Incorporation of corpus-specific semantic information into question answering context
The 2nd Workshop on Mixed-Initiative ConveRsatiOnal Systems (MICROS)
Deep Neural Networks for News Recommendations
MvFS: Multi-view Feature Selection for Recommender System
HyperGenFL: Hypernetwork-Generated Model Aggregation in Federated Learning
GLUE: a Parameter-Tuning-Free Map Updating System
Using Metadata for Locating Genomic Datasets on a Global Scale
Control-based Bidding for Mobile Livestreaming Ads with Exposure Guarantee
Low-Complexity Supervised Rank Fusion Models
Balancing Utility and Exposure Fairness for Integrated Ranking with Reinforcement Learning
Anomaly Mining: Past, Present and Future
MOUNA: mining opinions to unveil neglected arguments
Retrieval of Graph Structured Objects: Theory and Applications
GLocal-K: Global and Local Kernels for Recommender Systems
Unifying Spectral and Spatial Graph Neural Networks
Novel local features with hybrid sampling technique for image retrieval
A Benchmark for Fact Checking Algorithms Built on Knowledge Bases
Empowering Private Tutoring by Chaining Large Language Models
Meta-Reinforcement Learning for Multiple Traffic Signals Control
HQANN: Efficient and Robust Similarity Search for Hybrid Queries with Structured and Unstructured Constraints
Large-scale information retrieval experimentation with terrier
Unsupervised Feature Selection on Data Streams
Effectiveness beyond the first crawl tier
PAnDA: Combating Negative Augmentation via Large Language Models for User Cold-Start Recommendations
Jasmine: a real-time local-event detection system based on geolocation information propagated to microblogs
A Distributed Graph Algorithm for Discovering Unique Behavioral Groups from Large-Scale Telco Data
An Ad CTR Prediction Method Based on Feature Learning of Deep and Shallow Layers
Time sequence summarization to scale up chronology-dependent applications
Using Resolution for Extending KL-ONE-type Languages
COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
DistillCaps: Enhancing Audio-Language Alignment in Captioning via Retrieval-Augmented Knowledge Distillation
PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction
Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation
Automated faceted reporting for web analytics
Click-Through Rate Prediction with Multi-Modal Hypergraphs
Integrating DCT and DWT for approximating cube streams
AI in the Gray: Exploring Moderation Policies in Dialogic Large Language Models vs. Human Answers in Controversial Topics
A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists
An Ensemble Approach to Financial Entity Matching for the FEIII 2016 Challenge
MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and Modalities
DE-RRD: A Knowledge Distillation Framework for Recommender System
ROI Scan: LLM-powered Object-level Similarity Search for Google Ads Content Moderation
Spotting Terrorists by Learning Behavior-aware Heterogeneous Network Embedding
A simple approach to the design of site-level extractors using domain-centric principles
Physics-guided Active Sample Reweighting for Urban Flow Prediction
Ranking of evolving stories through meta-aggregation
Non-independent Cascade Formation: Temporal and Spatial Effects
Data Driven Chiller Plant Energy Optimization with Domain Knowledge
The Fisher-Rao Metric in Computer Vision
Real-time Edge Repartitioning for Dynamic Graph
Automatic Recognition of Distinguishing Negative Indirect History Language in Judicial Opinions
Identifying Attractive News Headlines for Social Media
Describing and Predicting Online Items with Reshare Cascades via Dual Mixture Self-exciting Processes
Grid-based subspace clustering over data streams
Construction of Multi-level Networks Incorporating Molecule, Cell, Organ and Phenotype Properties for Drug-induced Phenotype Prediction
OfCourse: web content discovery, classification and information extraction for online course materials
Decomposition of terminology graphs for domain knowledge acquisition
Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability
Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability
SOURCERY: User Driven Multi-Criteria Source Selection
Personal digital library: pim through a 5s perspective
Efficient safe-region construction for moving top-K spatial keyword queries
Unsupervised Evaluation of Text Co-clustering Algorithms Using Neural Word Embeddings
OnlineAutoClust: A Framework for Online Automated Clustering
Harnessing Empathy and Ethics for Relevance Detection and Information Categorization in Climate and COVID-19 Tweets
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing
Weakly supervised techniques for domain-independent sentiment classification
Simple Arabic Stemmer
Ledgit: A Service to Diagnose Illicit Addresses on Blockchain using Multi-modal Unsupervised Learning
Multi-modal Food Recommendation with Health-aware Knowledge Distillation
Distilling Word Embeddings: An Encoding Approach
Finding top k most influential spatial facilities over uncertain objects
Interactive sense feedback for difficult queries
Dual-Regularized One-Class Collaborative Filtering
MPHDetect: Multi-View Prompting and Hypergraph Fusion for Malevolence Detection in Dialogues
Adaptive Spike Neural Networks for Natural Language Inference Tasks with Dynamic Spike Predictor
Distributed Computation of k -Vertex Connected Components in Large Scale Networks
VerSaChI: Finding Statistically Significant Subgraph Matches using Chebyshev's Inequality
Fast k-NN Graph Construction by GPU based NN-Descent
Questions to be asked & answered as to NLP's role in improving semantic annotation
Situation-aware risk management in autonomous agents
Personalized Location-Preference Learning for Federated Task Assignment in Spatial Crowdsourcing
Discovering and exploiting keyword and attribute-value co-occurrences to improve P2P routing indices
Incorporating Query Reformulating Behavior into Web Search Evaluation
Crowdsourced Fact-Checking at Twitter: How Does the Crowd Compare With Experts?
Region Invariant Normalizing Flows for Mobility Transfer
Ontop-temporal: A Tool for Ontology-based Query Answering over Temporal Data
Harnessing Light for Cold-Start Recommendations: Leveraging Epistemic Uncertainty to Enhance Performance in User-Item Interactions
ASNets: A Benchmark Dataset of Aligned Social Networks for Cross-Platform User Modeling
Active learning in partially supervised classification
Exploiting novelty, coverage and balance for topic-focused multi-document summarization
Cloud Armor: a platform for credibility-based trust management of cloud services
Boosting to correct inductive bias in text classification
Autonomous Driving Towards Mass Production
Structured queries in XML retrieval
LightMove: A Lightweight Next-POI Recommendation forTaxicab Rooftop Advertising
REST: Drug-Drug Interaction Prediction via Reinforced Student-Teacher Curriculum Learning
AmpliBias: Mitigating Dataset Bias through Bias Amplification in Few-shot Learning for Generative Models
PersonaGen: A Persona-Driven Open-Ended Machine-Generated Text Dataset
Breast Cancer Early Detection with Time Series Classification
Towards privacy-preserving integration of distributed heterogeneous data
Protecting location privacy against location-dependent attack in mobile services
Enabling Precision/Recall Preferences for Semi-supervised SVM Training
Towards practically feasible answering of regular path queries in lav data integration
Evidence of quality of textual features on the web 2.0
Fake News, Disinformation, Propaganda, and Media Bias
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing
A study of rumor control strategies on social networks
Spam Review Detection with Graph Convolutional Networks
A collaborative filtering approach to ad recommendation using the query-ad click graph
Mining web multi-resolution community-based popularity for information retrieval
Confidence-Aware Multi-Field Model Calibration
Personalized recommender system based on item taxonomy and folksonomy
DTMBIO 2016: The Tenth International Workshop on Data and Text Mining in Biomedical Informatics
A general magnitude-preserving boosting algorithm for search ranking
Supporting ranking pattern-based aggregate queries in sequence data cubes
Intricate Object Detection in Self Driving Environments with Edge-Adaptive Depth Estimation(EADE)
JIM: Joint Influence Modeling for Collective Search Behavior
Print: a provenance model to support integration processes
SERF: integrating human recommendations with search
In-Session Personalization for Talent Search
ChangeDAR: Online Localized Change Detection for Sensor Data on a Graph
Diversionary comments under political blog posts
Folksonomy-based term extraction for word cloud generation
OFIA: An Object-centric Fine-grained Alignment Enhancement for Video-Text Retrieval
Modeling Long-Range Context for Concurrent Dialogue Acts Recognition
MPerformer: An SE(3) Transformer-based Molecular Perceptron
A vector space analysis of swedish patent claims with different linguistic indices
"More like these": growing entity classes from seeds
MTSCI: A Conditional Diffusion Model for Multivariate Time Series Consistent Imputation
Mining and ranking streams of news stories using cross-stream sequential patterns
An Object-Oriented Approach to Multi-Level Association Rule Mining
Influence-Aware Truth Discovery
Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network
Towards semantic methodologies for automatic regulatory compliance support
Efficient Pipeline Processing of Crowdsourcing Workflows
Packing the most onto your cloud
CAVE: Correcting Attribute Values in E-commerce Profiles
Queries, Constraints, Updates and Transactions Within a Logic-Based Language
E2MoCase: A Dataset for Emotional, Event and Moral Observations in News Articles on High-impact Legal Cases
Context seeking with social tags
WhatTheWikiFact: Fact-Checking Claims Against Wikipedia
Opinions network for politically controversial topics
Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference
Fairness in Large Language Models in Three Hours
Associative document retrieval by query subtopic analysis and its application to invalidity patent search
On Agent Domains, Agent Names and Proxy Agents
Accelerating Variant Calling on Human Genomes Using a Commodity Cluster
Workshop on Proactive and Agent-Supported Information Retrieval (PASIR)
CROSS-DB: A Feature-Extended Multidimensional Data Model for Statistical and Scientific Databases
A tool for ontology-editing and ontology-based information exploration
Amortized Baseline Selection via Rank-Revealing QR for Efficient Model Explanation
MANA-Net: Mitigating Aggregated Sentiment Homogenization with News Weighting for Enhanced Market Prediction
Aspect and Opinion Aware Abstractive Review Summarization with Reinforced Hard Typed Decoder
New Localization Frameworks: User-centric Approaches to Source Localization in Real-world Propagation Scenarios
Dual-Task Learning for Multi-Behavior Sequential Recommendation
Fourth workshop on exploiting semantic annotations in information retrieval (ESAIR)
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning
Neural Shifts in Collaborative Team Recommendation
Opportunity map: a visualization framework for fast identification of actionable knowledge
Efficient Orthogonal Non-negative Matrix Factorization over Stiefel Manifold
Intention-focused active reranking for image object retrieval
Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval
MUSE: A Multi-slice Joint Analysis Method for Spatial Transcriptomics Experiments
SMTIR: Scenario-Aware Multi-Trigger Induction Network for CTR Prediction
Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations
Dual-level Intents Modeling for Knowledge-aware Recommendation
Search Result Diversification Based on Hierarchical Intents
Rationale Aware Contrastive Learning Based Approach to Classify and Summarize Crisis-Related Microblogs
An Enhanced Gated Graph Neural Network for E-commerce Recommendation
RLIFE: Remaining Lifespan Prediction for E-scooters
Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization
FIN10K: A Web-based Information System for Financial Report Analysis and Visualization
Sarcasm Subtype-Specific Reasoning in Dialogue with Multimodal Cues Using Large Language Models
Strategies for setting time-to-live values in result caches
Factors affecting conditions of trust in participant recruiting and retention: a position paper
Multiresolution Graph Attention Networks for Relevance Matching
Hybrid index structures for location-based web search
Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder
Simulating simple user behavior for system effectiveness evaluation
Norma: A Hybrid Feature Alignment for Class-Aware Unsupervised Domain Adaptation
Theme chronicle model: chronicle consists of timestamp and topical words over each theme
MKEM: a multi-level knowledge emergence model for mining undiscovered public knowledge
Operational requirements for scalable search systems
The twitaholic next door.: scalable friend recommender system using a concept-sensitive hash function
A Universal Sets-level Optimization Framework for Next Set Recommendation
"Picture the scene...";: Visually Summarising Social Media Events
Learning open-domain comparable entity graphs from user search queries
Adaptive Persistence for Search Effectiveness Measures
Finding News Citations for Wikipedia
Truth Discovery in Data Streams: A Single-Pass Probabilistic Approach
Efficient sampling of information in social networks
A Cross-Lingual Joint Aspect/Sentiment Model for Sentiment Analysis
TED-KISS: A Known-Item Speech Video Search Benchmark
Learning to recommend questions based on user ratings
Uncertain schema matching: the power of not knowing
Towards a universal wordnet by learning from combined evidence
Learning ontology resolution for document representation and its applications in text mining
Combining link-based and content-based methods for web document classification
Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce
An efficient one-phase holistic twig join algorithm for XML data
LEX-GNN: Label-Exploring Graph Neural Network for Accurate Fraud Detection
Automatic query reformulation with syntactic operators to alleviate search difficulty
"I know what you did last summer": query logs and user privacy
Discovering Graph Generating Dependencies for Property Graph Profiling
SkyView: a user evaluation of the skyline operator
Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box Models
Cell line specific method based on functional modules for drug sensitivity prediction
Generating Categories for Sets of Entities
Efficient Parallel and Data Mining for Association Rules
DeliLaw: A Chinese Legal Counselling System Based on a Large Language Model
Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models
USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence
VFedAD: A Defense Method Based on the Information Mechanism Behind the Vertical Federated Data Poisoning Attack
Mining Context-Specific Rules from the Literature for Virtual Human Model Simulation
AliMe Assist : An Intelligent Assistant for Creating an Innovative E-commerce Experience
Querier-Aware LLM: Generating Personalized Responses to the Same Query from Different Queriers
Search excavator: the knowledge discovery tool
K-core Minimization: An Edge Manipulation Approach
Information and Knowledge Management, Expanding the Definition of "Database", First International Conference, CIKM'92, Baltimore, Maryland, USA, November 8-11, 1992, Selected Papers
Exploring personal impact for group recommendation
Leveraging Wikipedia concept and category information to enhance contextual advertising
EvalRS: a rounded evaluation of recommender systems
A math-aware search engine for math question answering system
Non-Visual Accessibility Assessment of Videos
Bootstrapped Knowledge Graph Embedding based on Neighbor Expansion
Data, health, and algorithmics: computational challenges for biomedicine
K-farthest-neighbors-based concept boundary determination for support vector data description
+VeriRel: Verification Feedback to Enhance Document Retrieval for Scientific Fact Checking
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting
Domain-specific keyphrase extraction
An Evaluation Framework for Attributed Information Retrieval using Large Language Models
ERASURE: A Modular and Extensible Framework for Machine Unlearning
'Choose your Data Wisely': Active Learning based Selection with Multi-Objective Optimisation for Mitigating Stereotypes
Disinformation techniques for entity resolution
Entity-relationship queries over wikipedia
GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction
CASINO: towards conformity-aware social influence analysis in online social networks
Structured collaborative filtering
Improved query difficulty prediction for the web
On the Importance of Venue-Dependent Features for Learning to Rank Contextual Suggestions
Learning to Distract: A Hierarchical Multi-Decoder Network for Automated Generation of Long Distractors for Multiple-Choice Questions for Reading Comprehension
CLR2G: Cross modal Contrastive Learning on Radiology Report Generation
Answering label-constraint reachability in large graphs
Beyond Language Bias: Overcoming Multimodal Shortcut and Distribution Biases for Robust Visual Question Answering
Large-scale Robust Online Matching and Its Application in E-commerce
Autoregressive Generative Retrieval for Industrial-Scale Recommendations at Pinterest
Annotating wikipedia articles with semantic tags for structured retrieval
Type Theory as a Unifying Paradigm for Modern Databases
PrivacyFL: A Simulator for Privacy-Preserving and Secure Federated Learning
Learning to Profile: User Meta-Profile Network for Few-Shot Learning
Efficient prediction of web accesses on a proxy server
Distance or Coverage?: Retrieving Knowledge-Rich Documents From Enterprise Text Collections
Information retrieval on the semantic web
Unsupervised Streaming Feature Selection in Social Media
Learning to link with wikipedia
Explainable Spatio-Temporal Graph Neural Networks
Sequential Search with Off-Policy Reinforcement Learning
Visual-semantic graphs: using queries to reduce the semantic gap in web image retrieval
Efficient Mining of Association Rules in Text Databases
Live Multi-Streaming and Donation Recommendations via Coupled Donation-Response Tensor Factorization
Dynamic Topic/Citation Influence Modeling for Chronological Citation Recommendation
Influence-guided Data Augmentation for Neural Tensor Completion
Emotions in Social Networks: Distributions, Patterns, and Models
Transformer for Point Anomaly Detection
Graph Neural Sparsification for Hyperspectral Image Classification with Local and Global Consistency
Towards Inferring Queries from Simple and Partial Provenance Examples
Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning
Effective measures for inter-document similarity
Ranking and combining social network data for web personalization
Unsupervised Adversarial Contrastive Hashing for Cross-Modal Retrieval
Structural Join Index Driven Complex Object Retrieval: Mechanisms and Selection
In-silico Interaction-Resolution Pathway Activity Quantification and Application to Identifying Cancer Subtypes
Visualizing and Quantifying Vocabulary Learning During Search
MUWS'2023: The 2nd International Workshop on Multimodal Human Understanding for the Web and Social Media
Deriving Performance Measures of Workflow in Radiation Therapy from Real-Time Data
Fragment-based clustering ensembles
Experiments on Multi-Strategy Learning by Meta-Learning
Retrieving Descriptive Phrases from Large Amounts of Free Text
CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs
Robust Heterophily Graph Learning via Uniformity Augmentation
Contextual Attention Modulation: Towards Efficient Multi-Task Adaptation in Large Language Models
Online anonymity for personalized web services
Topic aspect analysis for multi-document summarization
YourDigitalSelf: A Personal Digital Trace Integration Tool
Post-Quantum Searchable Encryption Supporting User-Authorization for Outsourced Data Management
Stochastic Optimization of Text Set Generation for Learning Multiple Query Intent Representations
Towards Unveiling Predictive Uncertainty Vulnerabilities in the Context of the Right to Be Forgotten
Blog site search using resource selection
Similarity Search using Concept Graphs
A Robust Named-Entity Recognition System Using Syllable Bigram Embedding with Eojeol Prefix Information
Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting
Knowledge-Driven Analytics Impacting Human Quality Of Life
Citation Intent Classification and Its Supporting Evidence Extraction for Citation Graph Construction
Elevated Road Network: A Metric Learning Method for Recognizing Whether a Vehicle is on an Elevated Road
Role-explicit query identification and intent role annotation
PARs: Predicate-based Association Rules for Efficient and Accurate Anomaly Explanation
APTNESS: Incorporating Appraisal Theory and Emotion Support Strategies for Empathetic Response Generation
Building Natural Language Interfaces to Web APIs
Implicit Session Contexts for Next-Item Recommendations
Schema-free structured querying of DBpedia data
Queueing analysis of relational operators for continuous data streams
Self-supervised Dual-view Framework with Tailored Negative Sampling for New Activity Detection
Simulating prosthetic vision with disortions for retinal prosthesis design
Clinical clarity versus terminological order: the readiness of SNOMED CT concept descriptors for primary care
Health Claims Unpacked: A toolkit to Enhance the Communication of Health Claims for Food
A Virtual Teaching Assistant for Personalized Learning
L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning
Geographic and Temporal Trends in Fake News Consumption During the 2016 US Presidential Election
Time-Sensitve Retrieval-Augmented Generation for Question Answering
International Workshop on Multimodal Generative Search and Recommendation (MMGenSR@CIKM 2025)
Improving the Efficiency of Inclusion Dependency Detection
System Deterioration Detection and Root Cause Learning on Time Series Graphs
Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation
Density-Aware Temporal Attentive Step-wise Diffusion Model For Medical Time Series Imputation
Advertiser-centric approach to understand user click behavior in sponsored search
A New Approach to Knowledge Acquisition by Repertory Grids
Leverage the Associations between Documents, Subject Headings and Terms to Enhance Retrieval
A dimensionality reduction technique for efficient similarity analysis of time series databases
A Graph-based Spatiotemporal Model for Energy Markets
PaperLM: A Pre-trained Model for Hierarchical Examination Paper Representation Learning
Inferring gender of movie reviewers: exploiting writing style, content and metadata
MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation