yusuke1997/dblp-id-title huggingface dataset:
Efficient temporal keyword search over versioned text
GGDs: Graph Generating Dependencies
MISS: Multi-Modal Tree Indexing and Searching with Lifelong Sequential Behavior for Retrieval Recommendation
Enhancing Dual-Target Cross-Domain Recommendation via Similar User Bridging
Association thesaurus construction methods based on link co-occurrence analysis for wikipedia
Expedited rating of data stores using agile data loading techniques
Memory Bank Augmented Long-tail Sequential Recommendation
Improved answer ranking in social question-answering portals
Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems
Two Heads are Better than One: Zero-shot Cognitive Reasoning via Multi-LLM Knowledge Fusion
Progressive Semantic Residual Quantization for Multimodal-Joint Interest Modeling in Music Recommendation
Neural Information Diffusion Prediction with Topic-Aware Attention Network
Content-based relevance estimation on the web using inter-document similarities
Very efficient mining of distance-based outliers
Closing the loop in webpage understanding
Gem-based entity-knowledge maintenance
Hierarchical Spatio-Temporal Graph Learning Based on Metapath Aggregation for Emergency Supply Forecasting
Time weight collaborative filtering
Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP
PowerDB-IR - Information Retrieval on Top of a Database Cluster
Improving Graph Autoencoders by Hard Sample Refinement with Global Similarity
RerankArena: A Unified Platform for Evaluating Retrieval, Reranking and RAG with Human and LLM Feedback
CDR: Conservative Doubly Robust Learning for Debiased Recommendation
Adaptive real-time transactions and risk-based load control
Algebraic Equivalences Among Nested Relational Expressions
Viewability Prediction for Online Display Ads
Tiled Bit Networks: Sub-Bit Neural Network Compression Through Reuse of Learnable Binary Vectors
Social Recommendation with Self-Supervised Metagraph Informax Network
Assessing Human Viewpoints in Theory of Mind for Large Language Models in Open-Ended Questioning
MoCLIM: Towards Accurate Cancer Subtyping via Multi-Omics Contrastive Learning with Omics-Inference Modeling
Pushing the Envelope in Graph Compression
On skyline groups
TopKNet: Learning to Perceive the Top-K Pivotal Nodes in Spatio-Temporal Data for Traffic Forecasting
DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations
BP-tree: an efficient index for similarity search in high-dimensional metric spaces
Tweet classification based on their lifetime duration
Toward a Foundation Model for Time Series Data
DIVAgent: A Diversified Search Agent that Mimics the Human Search Process
Can User Behaviour Sequences Reflect Perceived Novelty?
Fast query expansion using approximations of relevance models
Investigating the Learning Process in Job Search: A Longitudinal Study
Behavior-aware Sparse Trajectory Recovery in Last-mile Delivery with Multi-scale Attention Fusion
KRAF: A Flexible Advertising Framework using Knowledge Graph-Enriched Multi-Agent Reinforcement Learning
A cross-domain adaptation method for sentiment classification using probabilistic latent analysis
Modeling Topic Diffusion in Multi-Relational Bibliographic Information Networks
Unsupervised Hierarchical Graph Pooling via Substructure-Sensitive Mutual Information Maximization
Continuous data stream query in the cloud
DI-DAP: An Efficient Disaster Information Delivery and Analysis Platform in Disaster Management
Learning spectral embedding via iterative eigenvalue thresholding
DTMBIO 2012: international workshop on data and text mining in biomedical informatics
Knowledge-Driven Analytics and Systems Impacting Human Quality of Life
Proceedings of the 4th workshop on Workshop for Ph.D. students in information & knowledge management, IPKM 2011, Glasgow, United Kingdom, October 24-28, 2011
A Flexible Framework for Projecting Heterogeneous Data
Mapping adaptation actions for the automatic reconciliation of dynamic ontologies
Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks
Learning Temporal Ambiguity in Web Search Queries
Supervised identification and linking of concept mentions to a domain-specific ontology
Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance
Gravity-Inspired Graph Autoencoders for Directed Link Prediction
Enhancing E-Commerce Query Rewriting: A Large Language Model Approach with Domain-Specific Pre-Training and Reinforcement Learning
Predicting Scientific Impact Through Diffusion, Conformity, and Contribution Disentanglement
Towards Temporal Knowledge Graph Embeddings with Arbitrary Time Precision
BordaRAG: Resolving Knowledge Conflict in Retrieval-Augmented Generation via Borda Voting Process
Correcting Biases of Shapley Value Attributions for Informative Machine Learning Model Explanations
Exploiting asymmetry in hierarchical topic extraction
Invited talk: On Differences in Proofs Between Intuitionistic and Classical Logic
Efficient Join Processing Over Incomplete Data Streams
Exploring the Tradeoff Between Diversity and Discrimination for Continuous Category Discovery
TSI: An Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity
Controllable Multi-Character Psychology-Oriented Story Generation
Improving context-aware query classification via adaptive self-training
Neural Disentanglement of Query Difficulty and Semantics
Fast and accurate estimation of shortest paths in large graphs
Hierarchical Information Propagation and Aggregation in Disentangled Graph Networks for Audience Expansion
Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation
Annotation of clausal functional information for semantic retrieval
An object-oriented extension of XML for autonomous web applications
This image smells good: effects of image information scent in search engine results pages
Modeling Temporal-Spatial Correlations for Crime Prediction
Hierarchical document categorization with support vector machines
Helping editors choose better seed sets for entity set expansion
Towards Multi-level Provenance Reconstruction of Information Diffusion on Social Media
Efficient processing of streaming graphs for evolution-aware clustering
PTSR: Prefix-Target Graph-based Sequential Recommendation
Lingo: Linearized Grassmannian Optimization for Nuclear Norm Minimization
On GMAP: and other transformations
A Privacy Framework for Hierarchical Federated Learning
LibEpidemic: An Open-source Framework for Modeling Infectious Disease with Bigdata
Completeness of queries over SQL databases
Integrity Constraints Representation in Object-Oriented Databases
Improving intranet search-engines using context information from databases
Using multiple ontologies in information extraction
Network dynamics of scholarship: a social network analysis of digital library community
SemStore: A Semantic-Preserving Distributed RDF Triple Store
Gravity-GNN: Deep Reinforcement Learning Guided Space Gravity-based Graph Neural Network
HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training
GNNVis: Visualize Large-Scale Data by Learning a Graph Neural Network Representation
Social ranking for spoken web search
Cascaded Deep Neural Ranking Models in LinkedIn People Search
RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation
Spam detection with a content-based random-walk algorithm
To Explore or Exploit? A Gradient-informed Framework to Address the Feedback Loop for Graph based Recommendation
Corpus microsurgery: criteria optimization for medical cross-language ir
Finding relevant information of certain types from enterprise data
Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding
Joint sentiment/topic model for sentiment analysis
Online Algorithms for Finding Profile Association Rules
FiShNet: Fine-Grained Filter Sharing for Resource-Efficient Multi-Task Learning
Multi-scale Multi-modal Dictionary BERT For Effective Text-image Retrieval in Multimedia Advertising
RW-Team: Robust Team Formation using Random Walk
Context-based people search in labeled social networks
A study of parameter tuning for term frequency normalization
Graph-theoretical Approach to Enhance Accuracy of Financial Fraud Detection Using Synthetic Tabular Data Generation
Probabilistic correlation-based similarity measure of unstructured records
A Hybrid Approach for Automatic Model Recommendation
Scalability and Total Recall with Fast CoveringLSH
A Distributed, Graphical, Topic-Oriented Document Search System
Mining of Real-world Hypergraphs: Patterns, Tools, and Generators
Towards scatter/gather browsing in a hierarchical peer-to-peer network
Ranking with auxiliary data
Towards More Usable Dataset Search: From Query Characterization to Snippet Generation
Integrative Database for Exploring Compound Combinations of Natural Products for Medical Effects
Lightweight Adaptation of Neural Language Models via Subspace Embedding
Affinity-driven prediction and ranking of products in online product review sites
SURF based Security of Remote Sensing Images by Encrypted Watermark
Improving Diversity in Unsupervised Keyphrase Extraction with Determinantal Point Process
Re-evaluating the Command-and-Control Paradigm in Conversational Search Interactions
Providing consistent and exhaustive relevance assessments for XML retrieval evaluation
Improving entity search over linked data by modeling latent semantics
Question-answer topic model for question retrieval in community question answering
Pathway-based classification of brain activities for alzheimer's disease analysis
Refining health outcomes of interest using formal concept analysis and semantic query expansion
RecLand: A Recommender System for Social Networks
Error Link Detection and Correction in Wikipedia
Evaluating Social Media Reach via Mainstream Media Discourse
Cycle or Minkowski: Which is More Appropriate for Knowledge Graph Embedding?
Combining feature selectors for text classification
S3K: seeking statement-supporting top-K witnesses
Misuse detection for information retrieval systems
Fast Attributed Multiplex Heterogeneous Network Embedding
Ranking Optimization with Constraints
Combining Multiple Classifiers for Text Categorization
Automated Fact Checking
Where are You Tweeting?: A Context and User Movement Based Approach
Generalizing from relevance feedback using named entity wildcards
Mixture model label propagation
Propagation-vectors for trees (PVT): concise yet effective summaries for hierarchical data and trees
Natural language retrieval of grocery products
On Real-time Detecting Passenger Flow Anomalies
Towards a version control model with uncertain data
Boosting Large Language Models with Socratic Method for Conversational Mathematics Teaching
SPac: a distributed, peer-to-peer, secure and privacy-aware social space
Hierarchical Representation for Multi-view Clustering: From Intra-sample to Intra-view to Inter-view
A Privacy-aware Computation Offloading Method for Virtual Reality Application
PTM: probabilistic topic mapping model for mining parallel document collections
An interactive ontology learning workbench for non-experts
KID34K: A Dataset for Online Identity Card Fraud Detection
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao
Emerging semantic communities in peer web search
Originator or propagator?: incorporating social role theory into topic models for twitter content analysis
Offline Reinforcement Learning for Mobile Notifications
Tempus Fugit: A System for Making Semantic Connections
Empirical Analysis on User Profile in Personalized LLMs
Enhancing Graph Kernels via Successive Embeddings
CondFairGen A Fair Conditional Generator for Tabular Data via Adaptive Sampling
Deep Context Modeling for Web Query Entity Disambiguation
Trust-based collaborative filtering
Document sublanguage clustering to detect medical specialty in cross-institutional clinical texts
Reducing Match Time Variance in Production Systems with HAL
HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities
Differentially Private Federated Knowledge Graphs Embedding
Learning on the border: active learning in imbalanced data classification
Adaptive query execution for data management in the cloud
The role of variance in term weighting for probabilistic information retrieval
A CDD-based formal model for expert finding
Utilizing UNet for the Future Weather Prediction: Weather4cast 2021
Prioritizing Original News on Facebook
PolarDSN: An Inductive Approach to Learning the Evolution of Network Polarization in Dynamic Signed Networks
Rethinking Conversational Recommendations: Is Decision Tree All You Need?
Multi task learning on multiple related networks
MalNet: A Large-Scale Image Database of Malicious Software
On the Cross-type Homophily of Heterogeneous Graphs: Understanding and Unleashing
Uncertainty Quantification for Multiple-Choice Questions is Just One-Token Deep
News Recommendation with Topic-Enriched Knowledge Graphs
Not All Negatives are Equally Negative: Soft Contrastive Learning for Unsupervised Sentence Representations
CIExplore: Curiosity and Influence-based Exploration in Multi-Agent Cooperative Scenarios with Sparse Rewards
Update Summarization using Semi-Supervised Learning Based on Hellinger Distance
SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis
Forecasting Live Chat Intent from Browsing History
Token-Fusion: A Sparse Expert Routing Method for Multi-task Data Matching
A Scalable Algorithm for Higher-order Features Generation using MinHash
Similarity based retrieval from sequence databases using automata as queries
Integrating Transductive and Inductive Embeddings Improves Link Prediction Accuracy
Positive-Unlabeled Node Classification with Structure-aware Graph Learning
Structured learning of two-level dynamic rankings
Extensible Database Simulator for Fast Prototyping In-Database Algorithms
Deep Generative Imputation Model for Missing Not At Random Data
BoostVHT: Boosting Distributed Streaming Decision Trees
Relevance-index size tradeoff in contextual advertising
Virtual ID Discovery from E-commerce Media at Alibaba: Exploiting Richness of User Click Behavior for Visual Search Relevance
Prompting Strategies for Citation Classification
A Flexible Architecture for User-Adaptable Visualization
Document-Level Relation Extraction Based on Heterogeneous Graph Reasoning
Trilateral Spatiotemporal Attention Network for User Behavior Modeling in Location-based Search
Latent Variable Modeling for Robust Causal Effect Estimation
Efficient l p -norm multiple feature metric learning for image categorization
Personalized Differentially Private Federated Learning without Exposing Privacy Budgets
Query-driven Segment Selection for Ranking Long Documents
Proceedings of the fourth workshop on Exploiting Semantic Annotations in Information Retrieval, ESAIR 2011, Glasgow, United Kingdom, October 28, 2011
Fast, Accurate, and Space-efficient Tracking of Time-weighted Frequent Items from Data Streams
Processing Queries for First Few Answers
Improving Term Weighting for Community Question Answering Search Using Syntactic Analysis
TCSST: transfer classification of short & sparse text using external data
Optimizing parallel itineraries for knn query processing in wireless sensor networks
Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features
Study on LLMs for Promptagator-Style Dense Retriever Training
Proceedings of the First International CIKM Workshop on Cloud Data Management, CloudDB 2009, Hong Kong, China, November 2, 2009
Recommendations For Streaming Data
An improved feedback approach using relevant local posts for blog feed retrieval
An Effective Mechanism for Index Update in Structured Documents
Simplifying Temporal Heterogeneous Network for Continuous-Time Link prediction
An index for efficient semantic full-text search
Legal document clustering with built-in topic segmentation
AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments
Deep Uncertainty-Based Explore for Index Construction and Retrieval in Recommendation System
From Anchors to Answers: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models
Alternative Representations and Abstractions for Moving Sensors Databases
Elastic and Stable Compaction for LSM-tree: A FaaS-Based Approach on TerarkDB
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction
ThoughtForest-KGQA: A Multi-Chain Tree Search for Knowledge Graph Reasoning
Collaborative filtering in social tagging systems based on joint item-tag recommendations
International Workshop on Online and Adaptive Recommender Systems (OARS 2024)
UniROM: Unifying Online Advertising Ranking as One Model
Beyond precision@10: clustering the long tail of web search results
Blockchain-based Data Management and Analytics for Micro-insurance Applications
Order-free Medicine Combination Prediction with Graph Convolutional Reinforcement Learning
Regularizing Structured Classifier with Conditional Probabilistic Constraints for Semi-supervised Learning
See Clicks Differently: Modeling User Clicking Alternatively with Multi Classifiers for CTR Prediction
Distilling Multi-Scale Knowledge for Event Temporal Relation Extraction
Large-Scale Visual Search with Binary Distributed Graph at Alibaba
Local Contrastive Feature Learning for Tabular Data
M- LLM 3 REC: A Motivation-Aware User-Item Interaction Framework for Enhancing Recommendation Accuracy with LLMs
Authentication of moving range queries
A function-based access control model for XML databases
The 2012 international workshop on web-scale knowledge representation, retrieval, and reasoning
Empowering Traffic Speed Prediction with Auxiliary Feature-Aided Dependency Learning
How to Leverage a Multi-layered Transformer Language Model for Text Clustering: an Ensemble Approach
OFFER: A Motif Dimensional Framework for Network Representation Learning
Session-based Search Behavior in Naturalistic Settings for Learning-related Tasks
CASA-Net: A Context-Aware Correlation Convolutional Network for Scale-Adaptive Crack Detection
A Supervised Learning Framework for Prediction of Incompatible Herb Pair in Traditional Chinese Medicine
Extracting Entities of Interest from Comparative Product Reviews
Linear predictive coding representation of correlated mutation for protein sequence alignment
Spreadsheet-based complex data transformation
Generate Neural Template Explanations for Recommendation
Purpose tagging: capturing user intent to assist goal-oriented social search
Obsolescent Materialized Views in Query Processing of Enterprise Information Systems
Capturing term dependencies using a language model based on sentence trees
An Interactive Image Management System for Face Information Retrieval
Navigating the Landscape of Reproducible Research: A Predictive Modeling Approach
A unified optimization framework for auction and guaranteed delivery in online advertising
DBRec: Dual-Bridging Recommendation via Discovering Latent Groups
Exploring domain-specific term weight in archived question search
Spatio-Temporal-Social Multi-Feature-based Fine-Grained Hot Spots Prediction for Content Delivery Services in 5G Era
Combining Inductive and Deductive Reasoning for Query Answering over Incomplete Knowledge Graphs
Learning Better Representations for Neural Information Retrieval with Graph Information
Automatic construction of a bilingual thesaurus using citation analysis
Ranked feature fusion models for ad hoc retrieval
A Personal Perspective and Retrospective on Web Search Technology
Discriminative View Learning for Single View Co-Training
Consumer-centric SLA manager for cloud-hosted databases
Data visualization and relevance feedback applied to information retrieval
Seeing Sequences like Humans: Pattern Classification Driven Time-Series Forecasting via Vision Language Models
Temporal link prediction by integrating content and structure information
Ranking information resources in peer-to-peer text retrieval: an experimental study
Online Advertising Incrementality Testing: Practical Lessons And Emerging Challenges
An extended logic programming based multi-agent system formalization in mobile environments
FASE: Feature-Aligned Scene Encoding for Open-Vocabulary Object Detection in Remote Sensing
Towards Practical Open Knowledge Base Canonicalization
DAMOCRO: A Data Migration Framework Using Online Classification and Reordering
A New Framework for Evaluating Faithfulness of Video Moment Retrieval against Multiple Distractors
Automatic Social Circle Detection Using Multi-View Clustering
Real-time document collaboration using iPads
Document clustering using character N-grams: a comparative evaluation with term-based and word-based clustering
Dual-Space Masked Reconstruction for Robust Self-Supervised Human Activity Recognition
You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph Learning
Automatic link detection: a sequence labeling approach
Joint Modeling of User Check-in Behaviors for Point-of-Interest Recommendation
Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting
Generating comparative summaries of contradictory opinions in text
Applications of Rule Mining in Knowledge Bases
Learning to Simulate Complex Physical Systems: A Case Study
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems
A month in the life of a production news recommender system
Certifying One-Phase Technology-Assisted Reviews
Knowledge Driven Approach to Auto-Generate Digital Twins for Industrial Plants
PlaceSim: An LLM-based Interactive Platform for Human Behavior Simulation in Physical Facilities
Towards Mixed-Initiative Conversational Information Seeking
A compact and efficient image retrieval approach based on border/interior pixel classification
Automatic web data extraction using tree alignment
Semantic Rules for Machine Diagnostics: Execution and Management
Motif Enhanced Recommendation over Heterogeneous Information Network
A method for discovering components of human rituals from streams of sensor data
Question Retrieval with High Quality Answers in Community Question Answering
Conceptual modeling by analogy and metaphor
Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation
Information Retrieval Optimization for Non-Exemplar Class Incremental Learning
Comprehensible Models for Reconfiguring Enterprise Relational Databases to Avoid Incidents
Extending dictionary-based entity extraction to tolerate errors
Interactive Analytics System for Exploring Outliers
Machine Learning on Graphs with Kernels
MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking
Does That Mean You're Happy?: RNN-based Modeling of User Interaction Sequences to Detect Good Abandonment
DiRW: Path-Aware Digraph Learning for Heterophily
HST-GT: Heterogeneous Spatial-Temporal Graph Transformer for Delivery Time Estimation in Warehouse-Distribution Integration E-Commerce
Making Sense of Entities and Quantities in Web Tables
Non-local evidence for expert finding
Bootstrapping for Example-Based Data Extraction
From fat droplets to floating forests: cross-domain transfer learning using a PatchGAN-based segmentation model
A Semantics Aware Random Forest for Text Classification
A unified graph model for personalized query-oriented reference paper recommendation
Use of LSTM for Short-Term and Long-Term Travel Time Prediction
On compressing weighted time-evolving graphs
Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks
AutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate Prediction
Adaptive Cross-platform Transportation Time Prediction for Logistics
Emerging topic detection using dictionary learning
Webview selection from user access patterns
Word Vector Compositionality based Relevance Feedback using Kernel Density Estimation
A constraint to automatically regulate document-length normalisation
Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System