yusuke1997/dblp-id-title huggingface dataset:
Scalability of Continuous Active Learning for Reliable High-Recall Text Classification
Twice - Twitter Content Embeddings
The diffusion of political memes in social media: keynote abstract
Retrieving opinions from discussion forums
F1: Accelerating the Optimization of Aggregate Continuous Queries
Enhancing SPARQL Generation by Triplet-order-sensitive Pre-training
MONOPOLY: Learning to Price Public Facilities for Revaluing Private Properties with Large-Scale Urban Data
A Multi-Node Multi-GPU Distributed GNN Training Framework for Large-Scale Online Advertising
Tutorial on Landing Generative AI in Industrial Social and E-commerce Recsys
Dynamic Early Exit Scheduling for Deep Neural Network Inference through Contextual Bandits
JavaScript&Me, A Tool to Support Research into Code Transformation and Browser Security
Construction of a sentimental word dictionary
SuGeR: A Subgraph-based Graph Convolutional Network Method for Bundle Recommendation
Improving Text Embedding Models with Positive-aware Hard-negative Mining
Efficient term proximity search with term-pair indexes
SPARQL-vision: A Platform for Querying, Visualising and Exploring SPARQL endpoints
Cooperative Multi-Agent Reinforcement Learning in Express System
Matching person names through name transformation
The Temporal Game: A New Perspective on Temporal Relation Extraction
The active reading task: e-books and their readers
Computing the top-k maximal answers in a join of ranked lists
Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion
Large-Scale Question Answering with Joint Embedding and Proof Tree Decoding
Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification
Concept-based interactive query expansion
Mining coverage statistics for websource selection in a mediator
Synthesis and Pruning as a Dynamic Compression Strategy for Efficient Deep Neural Networks
Multi-subspace Implicit Alignment for Cross-modal Retrieval on Cooking Recipes and Food Images
Extracting Semi-Structured Data Through Examples
Proceedings of the 4th international workshop on Web-scale knowledge representation retrieval and reasoning, Web-KR@CIKM 2013, San Francisco, CA, USA, November 1, 2013
Paired Restricted Boltzmann Machine for Linked Data
Mining frequent neighborhood patterns in a large labeled graph
Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, CIKM 2007, Lisbon, Portugal, November 6-10, 2007
Using tag semantic network for keyphrase extraction in blogs
Visualization and clustering of crowd video content in MPCA subspace
Segmenting web-domains and hashtags using length specific models
Deal or deceit: detecting cheating in distribution channels
A Framework for Temporal Object Databases
Optimizing unified loss for web ranking specialization
Neural Instrumented Factorization: Learning Dynamic Asset Pricing Factors and Loadings through Characteristics Control
TALMUD: transfer learning for multiple domains
OPHiForest: Order Preserving Hashing Based Isolation Forest for Robust and Scalable Anomaly Detection
Semantic Approximate Keyword Query Based on Keyword and Query Coupling Relationship Analysis
An Object-Oriented Database for the Display Measurement and Analysis System
Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis
Multi-scale Graph Pooling Approach with Adaptive Key Subgraph for Graph Representations
An analysis framework for search sequences
PLAID: An Efficient Engine for Late Interaction Retrieval
Cequel: Cost-Effective Querying of Large Language Models for Text Clustering
Real-time Rumor Debunking on Twitter
Web search personalization with ontological user profiles
CEM: A Data-Efficient Method for Large Language Models to Continue Evolving From Mistakes
Training a Selection Function for Extraction
Classification spanning correlated data streams
SCISSOR: scalable and efficient reachability query processing in time-evolving hierarchies
Proceedings of the 2001 ACM CIKM International Conference on Information and Knowledge Management, Atlanta, Georgia, USA, November 5-10, 2001
Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking
Fast and scalable reachability queries on graphs by pruned labeling with landmarks and paths
Fast supervised feature extraction by term discrimination information pooling
The case for access control on XML relationships
Political polarization and popularity in online participatory media: an integrated approach
Mining Frequent Patterns in Evolving Graphs
Applications of Approximate Word Matching in Information Retrieval
Contrastive Learning for Rumor Detection via Fitting Beta Mixture Model
RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe Completion using Cascaded Set Transformer
Mining Reaction and Diffusion Dynamics in Social Activities
Enabling ontology based semantic queries in biomedical database systems
Supporting OLAP-Based Big Data Analytics over Data-Intensive Business Processes: Issues, Models, Proposals, and a Real-Life Framework
Automatic Discovery of Salient Segments in Imperfect Speech Transcripts
Reconstructing ddc for interactive classification
A general framework to encode heterogeneous information sources for contextual pattern mining
A Hyper-connected World
On the foundations of probabilistic information integration
Effective Spelling Correction for Eye-based Typing using domain-specific Information about Error Distribution
PyDHNet: A Python Library for Dynamic Heterogeneous Network Representation Learning and Evaluation
Designing clustering-based web crawling policies for search engine crawlers
A unified optimization framework for robust pseudo-relevance feedback algorithms
Graph classification based on pattern co-occurrence
Investigating external corpus and clickthrough statistics for query expansion in the legal domain
Locality sensitive hashing revisited: filling the gap between theory and algorithm analysis
MedSearch: a specialized search engine for medical information retrieval
Tide: A Time-Wise Causal Debiasing Framework for Generative Dynamic Link Prediction
Balanced coverage of aspects for text summarization
Poison pills: harmful relevant documents in feedback
Interpretability in Activation Space Analysis of Transformers: A Focused Survey
Learning to discover complex mappings from web forms to ontologies
Structural annotation of search queries using pseudo-relevance feedback
Multi-modal Mixture of Experts Represetation Learning for Sequential Recommendation
April: An Automatic Graph Data Management System Based on Reinforcement Learning
GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment
Intent-Driven Similarity in E-Commerce Listings
On top-k social web search
CausalBench-ER: Causally-Informed Explanations and Recommendations for Reproducible Benchmarking
Temporally Like-minded User Community Identification through Neural Embeddings
Aries: Accurate Metric-based Representation Learning for Fast Top- k Trajectory Similarity Query
Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection
HASTE: A Distributed System for Hybrid and Adaptive Processing on Streaming Spatial-Textual Data
BrainX: A Universal Brain Decoding Framework with Feature Disentanglement and Neuro-Geometric Representation Learning
M3: A Multi-Image Multi-Modal Entity Alignment Dataset
Cross-Modality Submodular Dictionary Learning for Information Retrieval
CFS-MTL: A Causal Feature Selection Mechanism for Multi-task Learning via Pseudo-intervention
HTFabric: A Fast Re-ordering and Parallel Re-execution Method for a High-Throughput Blockchain
Context-aware search personalization with concept preference
Embedding tolerance relations in formal concept analysis: an application in information fusion
Differentiable Retrieval Augmentation via Generative Language Modeling for E-commerce Query Intent Classification
Preference Prototype-Aware Learning for Universal Cross-Domain Recommendation
Temporal Analog Retrieval using Transformation over Dual Hierarchical Structures
FTR-18: Collecting Rumours on Football Transfer News
Long-Duration Transaction Support in Design Databases
Fast Retrieval of Cursive Handwriting
Histogram-based Deep Neural Network for Quantification
User profiling for answer quality assessment in Q&A communities
XReal: an interactive XML keyword searching
High-Order Moments Conditional Domain Adaptation Networks for Wearable Human Activity Recognition
Process-Driven Data Privacy
A Conditional Cascade Model for Relational Triple Extraction
XDNet: Disentangled Time Series Forecasting via Exponential Decomposition and 2D Periodic Modeling
Directing exploratory search with interactive intent modeling
Collaborative filtering in dynamic usage environments
SAQRec: Aligning Recommender Systems to User Satisfaction via Questionnaire Feedback
MARM: Unlocking the Recommendation Cache Scaling-Law through Memory Augmentation and Scalable Complexity
Multi-modal multi-correlation person-centric news retrieval
Learning a user-thread alignment manifold for thread recommendation in online forum
The Personal Electronic Program Guide - Towards the Pre-Selection of Individual TV Programs
Optimizing Multi-Relational Factorization Models for Multiple Target Relations
Search result presentation based on faceted clustering
Creating tag hierarchies for effective navigation in social media
HealthTrust: trust-based retrieval of you tube's diabetes channels
Reasonable tag-based collaborative filtering for social tagging systems
On Transductive Classification in Heterogeneous Information Networks
Beamer: An End-to-End Deep Learning Framework for Unifying Data Cleaning in DNN Model Training and Inference
PMS: an Effective Approximation Approach for Distributed Large-scale Graph Data Processing and Mining
Evaluation of Item-Based Top-N Recommendation Algorithms
The Factuality of Large Language Models in the Legal Domain
Using the past to score the present: extending term weighting models through revision history analysis
LiveVal: Real-time and Trajectory-based Data Valuation via Adaptive Reference Points
Automatically embedding newsworthy links to articles
Point Symmetry-based Deep Clustering
Orientation distance-based discriminative feature extraction for multi-class classification
CoDEM: An Ingenious Tool of Insight into Community Detection in Social Networks
Top-k Graph Summarization on Hierarchical DAGs
Bus Routes Design and Optimization via Taxi Data Analytics
Unsupervised question answering data acquisition from local corpora
MMLRec: A Unified Multi-Task and Multi-Scenario Learning Benchmark for Recommendation
A step towards incremental maintenance of the composed schema mapping
Online Adaptive Topic Focused Tweet Acquisition
An Eye-tracking Study of User Interactions with Query Auto Completion
SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings
Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction
Discovering matching dependencies
Quantitative Decomposition of Prediction Errors Revealing Multi-Cause Impacts: An Insightful Framework for MLOps
Graph-based transfer learning
Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning
FacetGist: Collective Extraction of Document Facets in Large Technical Corpora
Hubness-aware User Identity Linkage
Active learning for relation type extension with local and global data views
OpenTOS: Open-source System for Transfer Learning Bayesian Optimization
HealthGenie : A Knowledge-Driven LLM Framework for Tailored Dietary Guidance
Fifth workshop on exploiting semantic annotations in information retrieval: ESAIR"12)
A weighted tag similarity measure based on a collaborative weight model
Reinforcement Learning-Driven Generative Retrieval with Semantic-aligned Multi-Layer Identifiers
ConGM: Contrastive Graph Matching for Graph Self-Supervised Learning
Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis
Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation
Clustering Wikipedia infoboxes to discover their types
Robust Subspace Clustering via Tighter Rank Approximation
Embedding based Link Prediction for Knowledge Graph Completion
Leveraging Historical Interaction Data for Improving Conversational Recommender System
An Exploratory Study of Information Cocoon on Short-form Video Platform
Deriving non-redundant approximate association rules from hierarchical datasets
Graph Structure Aware Contrastive Knowledge Distillation for Incremental Learning in Recommender Systems
Understanding User Immersion in Online Short Video Interaction
Data-driven compound splitting method for english compounds in domain names
SO-1SR: towards a self-optimizing one-copy serializability protocol for data management in the cloud
Robust Capped Norm Nonnegative Matrix Factorization: Capped Norm NMF
A Dynamic Product-aware Learning Model for E-commerce Query Intent Understanding
A data integration method for exploring gene regulatory mechanisms
Building directories for social tagging systems
CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation
M-COPE: a multiple continuous query processing engine
The Distributed Interoperable Object Model and Its Application to Large-scale Interoperable Database Systems
Search result summarization and disambiguation via contextual dimensions
Using natural language to integrate, evaluate, and optimize extracted knowledge bases
Clustering-based anomaly detection in multi-view data
Visualizing Deep Neural Networks with Interaction of Super-pixels
Unifying explicit and implicit feedback for collaborative filtering
Collecting Non-Geotagged Local Tweets via Bandit Algorithms
Proto-Yield: An Uncertainty-Aware Prototype Network for Yield Prediction in Real-world Chemical Reactions
LT-OCF: Learnable-Time ODE-based Collaborative Filtering
Semantic Search over Structured Data
On Independence Atoms and Keys
Threshold behavior of incentives in social networks
Relation Prediction via Graph Neural Network in Heterogeneous Information Networks with Missing Type Information
A Method of Using Semijoins to Optimizing Queries with ADT Functions
PARC: Privacy-Aware Data Cleaning
SpeedSteiner: A Fast O ( k 1/2 )-Approximation Algorithm for Directed Steiner Tree
Proceedings of the Second Workshop on Knowledge-aware and Conversational Recommender Systems, co-located with 28th ACM International Conference on Information and Knowledge Management, KaRS@CIKM 2019, Beijing, China, November 7, 2019
Twitter anticipates bursts of requests for Wikipedia articles
Grand challenges for information management
MuLe: Multi-Grained Graph Learning for Multi-Behavior Recommendation
Measuring website similarity using an entity-aware click graph
Advances in Financial AI: Innovations, Risk, and Responsibility in the Era of LLMs
Inductive Dependencies and Approximate Databases
Query Understanding via Entity Attribute Identification
TOAK: A Topology-oriented Attack Strategy for Degrading User Identity Linkage in Cross-network Learning
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction
Evaluating Document Clustering for Interactive Information Retrieval
AutoIAS: Automatic Integrated Architecture Searcher for Click-Trough Rate Prediction
A Comparative Study of Query-biased and Non-redundant Snippets for Structured Search on Mobile Devices
Issues in searching for Indian language web content
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network
Estimating Event Focus Time Using Neural Word Embeddings
A Two-Layer Algorithmic Framework for Service Provider Configuration and Planning with Optimal Spatial Matching
User Taste-Aware Image Search
Toward Automated Multiparty Privacy Conflict Detection
Towards Pathway Variation Identification: Aligning Patient Records with a Care Pathway
QuAX: Mining the Web for High-utility FAQ
Users Are Known by the Company They Keep: Topic Models for Viewpoint Discovery in Social Networks
Seq-HyGAN: Sequence Classification via Hypergraph Attention Network
Relaxing Graph Pattern Matching With Explanations
Frequency-Conditioned Diffusion Models for Time Series Generation
Multi-granularity Fatigue in Recommendation
Efficient Computation of Subspace Skyline over Categorical Domains
Layered Index Structures in Document Database Systems
Profession-Based Person Search in Microblogs: Using Seed Sets to Find Journalists
L2Knng: Fast Exact K-Nearest Neighbor Graph Construction with L2-Norm Pruning
Probabilistic ranking for relational databases based on correlations
Learning latent semantic relations from clickthrough data for query suggestion
Applying cosine series to join size estimation
Automatic retrieval of similar content using search engine query interface
Towards a Zero-Day Anomaly Detector in Cyber Physical Systems Using a Hybrid VAE-LSTM-OCSVM Model
Enhancing Event Detection with Inter-Event Dependencies in Large Ontologies
I/O-efficient algorithms for answering pattern-based aggregate queries in a sequence OLAP system
Translating topics to words for image annotation
On identifying representative relevant documents
Derivative Delay Embedding: Online Modeling of Streaming Time Series
LagCNN: A Fast yet Effective Model for Multivariate Long-term Time Series Forecasting
Identifying new categories in community question answering archives: a topic modeling approach
Hadoop high availability through metadata replication
Semi-supervised Continual Learning with Meta Self-training
T-Stars-Poster: A Framework for Product-Centric Advertising Image Design
OBDD-NET: End-to-End Learning of Ordered Binary Decision Diagrams
Unsupervised public health event detection for epidemic intelligence
Content coverage maximization on word networks for hierarchical topic summarization
Compositional and Hierarchical Semantic Learning Model for Hospital Readmission Prediction
Multi-Scale Contrastive Attention Representation Learning for Encrypted Traffic Classification
Compact Auxiliary Dictionaries for Incremental Compression of Large Repositories
Approximately Common Patterns in Shared-Forests
Using Local Information to Significantly Improve Classification Performance
Distribution-Guided Auto-Encoder for User Multimodal Interest Cross Fusion
Efficient Incremental View Maintenance in Data Warehouses
Visualization of Financial Information
LuposDate: a semantic web database system
Modeling temporal effects of human mobile behavior on location-based social networks
Boosting for Document Routing
The role of documents vs. queries in extracting class attributes from text
Learning Prompt-Level Quality Variance for Cost-Effective Text-to-Image Generation
Attentive Encoder-based Extractive Text Summarization
Documents Search Using Semantics Criteria
Cache-oblivious nested-loop joins
Flexible and extensible generation and corruption of personal data
A Feature-Importance-Aware and Robust Aggregator for GCN
Measuring the meaning in time series clustering of text search queries
From Pixels to Words: A Scalable Journey of Text Information from Product Images to Retail Catalog
Inside Quasimodo: Exploring Construction and Usage of Commonsense Knowledge
Summarization of social activity over time: people, actions and concepts in dynamic networks
Efficient local ligand-binding site search using landmark mds
Knowledge-based gene symbol disambiguation
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems
On Influence Tail Bounds in Online Social Networks
Semi-supervised SVMs for classification with unknown class proportions and a small labeled dataset
A query model based on normalized log-likelihood
Insert-friendly XML containment labeling scheme
Memory-Optimized Distributed Graph Processing through Novel Compression Techniques
Optimizing candidate check costs for bitmap indices
Towards A Real-Time Emergency Response Model For Connected And Autonomous Vehicles
WebKE: Knowledge Extraction from Semi-structured Web with Pre-trained Markup Language Model
A Bayesian Multi-Armed Bandit Algorithm for Bid Shading in Online Display Advertising
Preserving Old Memories in Vivid Detail: Human-Interactive Photo Restoration Framework
Monte Carlo Tree Search for Graph Reasoning in Large Language Model Agents
Mining tag similarity in folksonomies
An algorithm for axiom pinpointing in EL+ and its incremental variant
Accessible, large-print, listening & talking e-book (ALIT)
SimFormer: Multilevel Transformer on Learnable Mesh Graphs for Engineering Simulation
Efficiency optimizations for interpolating subqueries
LLMCE: Adapting LLMs with Adversarial Debiasing for Counterfactual Estimation over Time
Rank Consistency based Multi-View Learning: A Privacy-Preserving Approach
A sparse gaussian processes classification framework for fast tag suggestions
An Approach to Large Scale Distributed Information Systems Using Statistical Properties of Text to Guide Agent Search
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks
Flurry: A Fast Framework for Provenance Graph Generation for Representation Learning
A Distributed Multi-Agent System for Collaborative Information Management and Sharing
How does clickthrough data reflect retrieval quality?
Predicting protein-protein relationships from literature using collapsed variational latent dirichlet allocation
Dictionary based sparse representation for domain adaptation
Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph
Towards Trustworthy AI: Enhancing Factuality, Bias, and Compliance in LLMs
Automatically Extracting Structure and Data from Business Reports
Faceted Exploring for Domain Knowledge over Linked Open Data
Disentangling Preference Representations for Recommendation Critiquing with ß-VAE
Collaborative Alignment for Recommendation
InfinityMath: A Scalable Instruction Tuning Dataset in Programmatic Mathematical Reasoning
Structural Proximity Searching for Large Collections of Semi-Structured Data
Detecting topic evolution in scientific literature: how can citations help?
SeLeRoSa: Sentence-Level Romanian Satire Detection Dataset
AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction
A Competition-Based Connectionist Model for Information Retrieval Using a Merged Thesaurus
MMM-fair: An Interactive Toolkit for Exploring and Operationalizing Multi-Fairness Trade-offs
DebiasedKGE: Towards Mitigating Spurious Forgetting in Continual Knowledge Graph Embedding
Attribution IQ: Scalable Game Theoretic Attribution in Web Analytics
FAMC-Net: Frequency Domain Parity Correction Attention and Multi-Scale Dilated Convolution for Time Series Forecasting
Maxprob and categorization of queries based on linguistic features
Variational Cross-Network Embedding for Anonymized User Identity Linkage
Use cases as a component of information access evaluation
Leveraging web 2.0 data for scalable semi-supervised learning of domain-specific sentiment lexicons
Projection-Propagation in Complex-Object Query Languages
Covid19-twitter: A Twitter-based Dataset for Discourse Analysis in Sentence-level Sentiment Classification
Query Optimization Using An Improved Genetic Algorithm
Laconic Image Classification: Human vs. Machine Performance
On Evaluating Loss Functions for Stock Ranking: An Empirical Analysis with Transformer Model
Supervised semantic indexing
On bootstrapping recommender systems
Predicting Interaction Quality of Conversational Assistants With Spoken Language Understanding Model Confidences
Sentiment Lexicon Enhanced Neural Sentiment Classification
Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models
PRISM: Mitigating EHR Data Sparsity via Learning from Missing Feature Calibrated Prototype Patient Representations
Query processing of massive trajectory data based on mapreduce
Tutorial on Deep Learning Interpretation: A Data Perspective
Interactive Contrastive Learning for Self-Supervised Entity Alignment
Adaptive Domain Interest Network for Multi-domain Recommendation
Comparison of six aggregation strategies to compute users' trustworthiness