yusuke1997/dblp-id-title huggingface dataset:
PromptTSS: A Prompting-Based Approach for Interactive Multi-Granularity Time Series Segmentation
Semi-supervised text categorization by active search
Social-Relational Topic Model for Social Networks
Bias mitigation in recommender systems to improve diversity
Learning to Rank Non-Factoid Answers: Comment Selection in Web Forums
Adaptive Evolutionary Filtering in Real-Time Twitter Stream
Boolean Matrix Decomposition by Formal Concept Sampling
Defining an Optimal Configuration Set for Selective Search Strategy - A Risk-Sensitive Approach
Automated probabilistic modeling for relational data
Comparing Fine-Tuned Transformers and Large Language Models for Sales Call Classification: A Case Study
Liberate Pseudo Labels from Over-Dependence: Label Information Migration on Sparsely Labeled Graphs
You Only Evaluate Once: A Tree-based Rerank Method at Meituan
Generalized inverse document frequency
Sensor data management in manufacturing systems
Modeling Diverse Chemical Reactions for Single-step Retrosynthesis via Discrete Latent Variables
Semantic Filter Recommendation for eCommerce Search
Benefit from Rich: Tackling Search Interaction Sparsity in Search Enhanced Recommendation
How the live web feels about events
Boosting relevance model performance with query term dependence
Quantized Factor Identifiable Causal Effect Variational Autoencoder
How evaluator domain expertise affects search result relevance judgments
Machine Learning based Performance Modeling of Flash SSDs
Evolving Graph-Based Context Modeling for Multi-Turn Conversational Retrieval-Augmented Generation
Improving k-nearest neighbors algorithms: practical application of dataset analysis
Frequency-aware similarity measures: why Arnold Schwarzenegger is always a duplicate
Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs
Using a compact tree to index and query XML data
Efficient Taxonomic Similarity Joins with Adaptive Overlap Constraint
A Word-Scale Probabilistic Latent Variable Model for Detecting Human Values
Scalable bootstrapping for python
Inside the world's playlist
PSLF: Defending Against Label Leakage in Split Learning
Automatic identification of best entry points for focused structured document retrieval
Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting
FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data
Geometric Heterogeneous Graph Neural Network for Protein-Ligand Binding Affinity Prediction
Automatic Query Expansion Based on Divergence
Towards Deconfounded Visual Question Answering via Dual-causal Intervention
Fairness in Unsupervised Learning
Energy-efficient top-k query processing in wireless sensor networks
Project synopsis: evaluating STRIP
On Root Cause Localization and Anomaly Mitigation through Causal Inference
An approximate string matching approach for handling incorrectly typed urls
Graph Contrastive Learning with Graph Info-Min
Party cohesion in presidential races: applying social network theory to the 2011 preprimary
Controlled Feature Interaction Selection for Deep Sparse Networks
Incorporating place name extents into geo-ir ranking
Ideas: from mind, to paper, to mind
Towards Online and Safe Configuration Tuning with Semi-supervised Anomaly Detection
GBTTE: Graph Attention Network Based Bus Travel Time Estimation
Approximate reverse k-nearest neighbor queries in general metric spaces
From bits and bytes to information and knowledge
Summarizing local context to personalize global web search
SIMILANT: An Analytic Tool for Similarity Modeling
RerankEverything: a reranking interface for exploring search results
Active caching for similarity queries based on shared-neighbor information
XQuery optimization based on program slicing
Evaluating Trace Encoding Methods in Process Mining
Modeling Menu Bundle Designs of Crowdfunding Projects
Inferring anchor links across multiple heterogeneous social networks
Dual Head-wise Coattention Network for Machine Comprehension with Multiple-Choice Questions
ThemeCrowds: multiresolution summaries of twitter usage
Automatic Construction of Multi-layer Perceptron Network from Streaming Examples
Matching and evaluation of disjunctive predicates for data stream sharing
Searching the Web: Can You Find What You Want?
Collaborative future event recommendation
LinkGPT: Leveraging Large Language Models for Enhanced Link Prediction in Text-Attributed Graphs
Binary Relationship Imposition Rules on Ternary Relationships
From Retrieval to Generation: Efficient and Effective Entity Set Expansion
Combat Greenwashing with GoalSpotter: Automatic Sustainability Objective Detection in Heterogeneous Reports
Externalizing Social-Cognitive Structures for User Modeling: Toward Theory-Driven Profiling with LLMs
A Probabilistic Concept Annotation for IT Service Desk Tickets
Effective stratification for low selectivity queries on deep web data sources
MalLight: Influence-Aware Coordinated Traffic Signal Control for Traffic Signal Malfunctions
Multi-view Moments Embedding Network for 3D Shape Recognition
BROOM: Buffer Replacement using Online Optimization by Mining
Ranking web objects from multiple communities
Integrating Agents into Virtual Worlds
Practical Access Pattern Privacy by Combining PIR and Oblivious Shuffle
Optimisation methods for ranking functions with multiple parameters
Wildcards for lightweight information integration in virtual desktops
Using conjunction of attribute values for classification
Bayesian variable selection for linear regression in high dimensional microarray data
Unsupervised Cross-system Log Anomaly Detection via Domain Adaptation
Large-Scale Analysis of Viewing Behavior: Towards Measuring Satisfaction with Mobile Proactive Systems
Top-N recommendation through belief propagation
Pruning Strategies for Backdoor Defense in LLMs
Leveraging Joint Interactions for Credibility Analysis in News Communities
Context Interchange: Overcoming the Challenges of Large-Scale Interoperable Database Systems in a Dynamic Environment
Learning a Linear Influence Model from Transient Opinion Dynamics
E-Commerce Promotions Personalization via Online Multiple-Choice Knapsack with Uplift Modeling
Differentially private top-k query over MapReduce
KLEAP: an efficient cleaning method to remove cross-reads in RFID streams
Question Difficulty Prediction for Multiple Choice Problems in Medical Exams
Relation Extraction with Self-determined Graph Convolutional Network
False News Classification and Dissemination: The case of the 2019 Indonesian Presidential Election
Device-Aware Rule Recommendation for the Internet of Things
Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects
Fairness-Aware Tensor-Based Recommendation
Approaches to Collection Selection and Results Merging for Distributed Information Retrieval
Towards smarter documents
Cognize Yourself: Graph Pre-Training via Core Graph Cognizing and Differentiating
On caption bias in interleaving experiments
A probabilistic approach to mining geospatial knowledge from social annotations
Covering the Optimal Time Window Over Temporal Data
Sequential Recommendation via an Adaptive Cross-domain Knowledge Decomposition
Efficient Learning to Learn a Robust CTR Model for Web-scale Online Sponsored Search Advertising
An Improved Test Collection and Baselines for Bibliographic Citation Recommendation
Building a Dossier on the Cheap: Integrating Distributed Personal Data Resources Under Cost Constraints
Identifying and characterizing user communities on Twitter during crisis events
Efficient processing of group-oriented connection queries in a large graph
GetCom: An Efficient and Generalizable Framework for Community Detection
WordSeer: a knowledge synthesis environment for textual data
Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphs
CloudDB 2013: fifth international workshop on cloud data management
Generative Modeling of Entity Comparisons in Text
A Matrix-Vector Recurrent Unit Model for Capturing Compositional Semantics in Phrase Embeddings
DESTINE: Dense Subgraph Detection on Multi-Layered Networks
PIKM 2011: the 4th ACM workshop for Ph.D. students in information and knowledge management
The earth mover's distance as a semantic measure for document similarity
A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining
Online stratified sampling: evaluating classifiers at web-scale
Neural Logic Reasoning
Exploration-exploitation tradeoff in interactive relevance feedback
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks
Masked Graph Distance Network for Accurate Subgraph Similarity Computation
QuaPy: A Python-Based Framework for Quantification
Intelligent agent for automated manufacturing rule generation
Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach
Bayesian adaptive user profiling with explicit & implicit feedback
Best Co-Located Community Search in Attributed Networks
An efficient algorithm for approximate biased quantile computation in data streams
End-to-End Aspect Based Sentiment Analysis Using Graph Attention Network
Building re-usable dictionary repositories for real-world text mining
Two Phases Outlier Detection in Different Subspaces
Intelligent Monitoring of Distributed, Heterogeneous Data Sources
ROU: advanced keyword search on graph
Wisdom of the ages: toward delivering the children's web with the link-based agerank algorithm
Modeling Individual-Level Infection Dynamics Using Social Network Information
PRRE: Personalized Relation Ranking Embedding for Attributed Networks
Content-based filtering for efficient online materialized view maintenance
ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph
RaDaR: A Real-Word Dataset for AI powered Run-time Detection of Cyber-Attacks
Learning to Extract Hierarchical Information from Semi-structured Documents
A Self-Organizing Map for Identifying InfluentialCommunities in Speech-based Networks
Predicting the performance of passage retrieval for question answering
Understanding Reading Attention Distribution during Relevance Judgement
The OODB Path-Method Generator (PMG) Using Precomputed Access Relevance
On Gapped Set Intersection Size Estimation
Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection
Online Efficient Secure Logistic Regression based on Function Secret Sharing
Learning to Re-Rank with Contextualized Stopwords
Annotating attribution relations and their features
ROSE: retail outlet site evaluation by learning with both sample and feature preference
Self-supervised Learning for Large-scale Item Recommendations
On the elasticity of NoSQL databases over cloud management platforms
Spectral Edge Encoding - SEE: Does Structural Information Really Enhance Graph Transformer Performance?
Personalization of web-search using short-term browsing context
BART-based Hierarchical Attentional Network for Sentence Ordering
AutoADR: Automatic Model Design for Ad Relevance
A Comparative Study of Log-Only and In-Place Update Based Temporal Object Database Systems
User and Context Integrated Experience Mining in Online Health Communities
Robust Principal Component Analysis with Missing Data
Hierarchical tag visualization and application for tag recommendations
Demographic information flows
Prediction of Compound-Target Interactions of Natural Products Using Large-scale Drug and Protein Information
Similarity search in 3D object-based video data
Microarray data analysis with pca in a dbms
Personalized Federated Search at LinkedIn
Fact-based question decomposition for candidate answer re-ranking
Spatio-Temporal Residual Masked Autoencoder for Urban Rent Estimation
The challenge of understanding the flow of sentiments in social media documents
Techniques for efficient fragment detection in web pages
Change Detection for Local Explainability in Evolving Data Streams
Induction of Integrated View for XML Data with Heterogeneous DTDs
Efficient query evaluation using a two-level retrieval process
TAGME: on-the-fly annotation of short text fragments (by wikipedia entities)
MultiPLe: Multilingual Prompt Learning for Relieving Semantic Confusions in Few-shot Event Detection
Using relevance feedback to detect misuse for information retrieval systems
Modeling Language Discrepancy for Cross-Lingual Sentiment Analysis
Semantic Exploration of Sensor Data
Dealing with Partial Failures in Multiple Processor Primary-Backup Systems
A decentralized recommender system for effective web credibility assessment
Personalized Route Description Based On Historical Trajectories
Tag-geotag correlation in social networks
Social contextual recommendation
Explainable Graph-based Fraud Detection via Neural Meta-graph Search
Integrating Time Series into LLMs via Multi-layer Steerable Embedding Fusion for Enhanced Forecasting
Predicting the conversion probability for items on C2C ecommerce sites
Integrating Information from Multiple Independently Developed Data Sources
Reducing the risk of query expansion via robust constrained optimization
Recommendation in the end-to-end encrypted domain
Scalable learning of collective behavior based on sparse social dimensions
Extracting Significant Time Varying Features from Text
Tackling Noisy Clients in Federated Learning with End-to-end Label Correction
PAGE: a partition aware graph computation engine
High precision rule based PPI extraction and per-pair basis performance evaluation
Query Answering Efficiency in Expert Networks Under Decentralized Search
Predicting Tomorrow's Headline using Twitter Deliberations
Document clustering based on cluster validation
User Group Analytics: Discovery, Exploration and Visualization
Extracting a website's content structure from its link structure
Identifying Top-K Influential Nodes in Networks
GTE-Rank: Searching for Implicit Temporal Query Results
Meta Hyperparameter Optimization with Adversarial Proxy Subsets Sampling
Multi-Behavior Intent Disentanglement for Recommendation via Information Bottleneck Principle
Database Model for Web-Based Cooperative Applications
Scalable similarity search of timeseries with variable dimensionality
Robust Entity Linking via Random Walks
Tackling Diverse Minorities in Imbalanced Classification
Addressing the Hardness of k-Facility Relocation Problem: A Pair of Approximate Solutions
A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation
Automatic query generation for patent search
SMASC 2017: First International Workshop on Social Media Analytics for Smart Cities
Using Semantic Role Labeling to Predict Answer Types
Clues for detecting irony in user-generated contents: oh...!! it's "so easy" ;-)
SASNet: Stage-aware Sequential Matching for Online Travel Recommendation
Multi-resolution modeling of large scale scientific simulation data
CLosER: Conversational Legal Longformer with Expertise-Aware Passage Response Ranker for Long Contexts
Automatic Large Language Model Evaluation via Peer Review
Change Detection for Hyperspectral Imagery Based on Multi-layer Cascade Screening Strategy
Advancing the discovery of unique column combinations
EUI: an embedded engine for understanding user intents from mobile devices
Deep Context Interest Network for Click-Through Rate Prediction
Privacy leakage in multi-relational databases via pattern based semi-supervised learning
LICON: A Linear Weighting Scheme for the Contribution ofInput Variables in Deep Artificial Neural Networks
Where Does Legal AI Fail? Evaluating RAG Pipelines
Key blog distillation: ranking aggregates
A Music Recommendation System Based on Music Data Grouping and User Interests
Relation Network and Causal Reasoning for Image Captioning
Toward the design of a methodology to predict relevance through multiple sources of evidence
Filtering and clustering relations for unsupervised information extraction in open domain
Usefulness and Diminishing Returns: Evaluating Social Information in Recommender Systems
Energy-efficient skyline query processing and maintenance in sensor networks
Tensor Decomposition-based Node Embedding
A study on the effects of personalization and task information on implicit feedback performance
Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage
Curriculum Contrastive Learning for Fake News Detection
Creating and Evaluating Multi-Document Sentence Extract Summaries
A tool for automated evaluation of algorithms
Need for automatically generated narration
Active Zero-Shot Learning
Identifying Facet Mismatches In Search Via Micrographs
Non-local Self-attentive Autoencoder for Genetic Functionality Prediction
Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation
Feature Selection for Facebook Feed Ranking System via a Group-Sparsity-Regularized Training Algorithm
Fact or Facsimile? Evaluating the Factual Robustness of Modern Retrievers
Deep Learning for Search and Recommendation
SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction
GCoder: Improving Large Language Model for Generalized Graph Reasoning
Automatically classifying database workloads
Learning to rank using evolutionary computation: immune programming or genetic programming?
Structure Learning of Bayesian Network with Latent Variables by Weight-Induced Refinement
Deep Presentation Bias Integrated Framework for CTR Prediction
Search and exploration of scanned books
Handshape Classification in a Reverse Dictionary of Sign Languages for the Deaf
Separating-Plane Factorization Models: Scalable Recommendation from One-Class Implicit Feedback
Mining the Minds of Customers from Online Chat Logs
Generative Feature Language Models for Mining Implicit Features from Customer Reviews
Information diffusion in social networks: observing and affecting what society cares about
Ranking Sentiment Explanations for Review Summarization Using Dual Decomposition
PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction
A Globalization-Semantic Matching Neural Network for Paraphrase Identification
Graph Analytics on Proximity Data to Fight Contagion
Advice for young Jedi knights and PhD students
A Content-Based Approach for Modeling Analytics Operators
Modeling Preference as Weighted Distribution over Functions for User Cold-start Recommendation
Efficient Optimization of Dominant Set Clustering with Frank-Wolfe Algorithms
TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification
Entity-Aware Generative Retrieval for Personalized Contexts
Extremely fast text feature extraction for classification and indexing
A Comparative Study of Reference Reliability in Multiple Language Editions of Wikipedia
Self-supervised One-Stage Learning for RF-based Multi-Person Pose Estimation
Influence Maximization for Complementary Goods: Why Parties Fail to Cooperate?
Multi-query optimization of sliding window aggregates by schedule synchronization
Towards Understanding of Deepfake Videos in the Wild
External Data Access And Indexing In AsterixDB
Sibling Clustering of Tree-Based Spatial Indexes for Efficient Spatial Query Processing
When Hardness Makes a Difference: Multi-Hop Knowledge Graph Reasoning over Few-Shot Relations
Semi-Supervised Event-related Tweet Identification with Dynamic Keyword Generation
Collaborative Topic Regression with Denoising AutoEncoder for Content and Community Co-Representation
RuSemCor: A Word Sense Disambiguation corpus for Russian
EvalAgent: Towards Evaluating News Recommender Systems with LLM-based Agents
Discovering Similar Resources by Content Part-Linking
Extracting multi-dimensional relations: a generative model of groups of entities in a corpus
NumClaim: Investor's Fine-grained Claim Detection
Self-supervised Representation Learning on Dynamic Graphs
IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System
Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models
Collective Classification via Discriminative Matrix Factorization on Sparsely Labeled Networks
WikiCheck: An End-to-end Open Source Automatic Fact-Checking API based on Wikipedia
Shaded Route Planning Using Active Segmentation and Identification of Satellite Images
Quaternion-Based Self-Attentive Long Short-term User Preference Encoding for Recommendation
Empowering Denoising Sequential Recommendation with Large Language Model Embeddings
Reading in the office
Biasing web search results for topic familiarity
DePP: A System for Detecting Pages to Protect in Wikipedia
Robust Basket Recommendation via Noise-tolerated Graph Contrastive Learning
On bundle configuration for viral marketing in social networks
Tell Me What You Want and I Will Tell Others Where You Have Been
RoCourseNet: Robust Training of a Prediction Aware Recourse Model
An AI-based Simulation and Optimization Framework for Logistic Systems
Capsule Graph Neural Networks with EM Routing
Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-Based Feature Extractor
Sequential Action Patterns in Collaborative Ontology-Engineering Projects: A Case-Study in the Biomedical Domain
Fast shortest path distance estimation in large networks
Mining influential attributes that capture class and group contrast behaviour
ARGH!: Automated Rumor Generation Hub
Prospective Modeling of Users for Online Display Advertising via Deep Time-Aware Model
Talking to Your TV: Context-Aware Voice Search with Hierarchical Recurrent Neural Networks
Collective Embedding with Feature Importance: A Unified Approach for Spatiotemporal Network Embedding
Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users
Approximate Definitional Constructs as Lightweight Evidence for Detecting Classes Among Wikipedia Articles
Understanding how people interact with web search results that change in real-time using implicit feedback
Representative Negative Instance Generation for Online Ad Targeting
Operation Diagnosis on Procedure Graph: The Task and Dataset
DynED: Dynamic Ensemble Diversification in Data Stream Classification
Capturing Feature-Level Irregularity in Disease Progression Modeling
A user-centric model to semantically annotate and retrieve scientific documents
Compressed Models are NOT Miniature Versions of Large Models
Detecting and Measuring the Exposure of Children and Adolescents to Inappropriate Comments in YouTube
Semantic role labeling for structured information extraction
On Efficient Query Processing with the Earth Mover's Distance
Structure-aware indexing for keyword search in databases
HEPT Attack: Heuristic Perpendicular Trial for Hard-label Attacks under Limited Query Budgets
Applying theory to practice
Automated cleansing for spend analytics
From Data to Models and Back - 9th International Symposium, DataMod 2020, Virtual Event, October 20, 2020, Revised Selected Papers
Semi-supervised Learning on Graphs with Generative Adversarial Nets
A Generative Model for Generating Relevance Labels from Human Judgments and Click-Logs
RWS-Diff: flexible and efficient change detection in hierarchical data
Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images
Routing questions to appropriate answerers in community question answering services
Estimating The MBTI Of Twitter Accounts With Graph Neural Networks Over Neo4j
A feature-word-topic model for image annotation
Estimating the Number of Distinct Items in a Database by Sampling
AutoGRD: Model Recommendation Through Graphical Dataset Representation
Attentive Graph-based Recursive Neural Network for Collective Vertex Classification
A study of selective collection enrichment for enterprise search
Metapath-Guided Data-Augmentation For Knowledge Graphs
On segmentation of eCommerce queries
Globally local and fast explanations of t-SNE-like nonlinear embeddings
Enhanced Privacy Bound for Shuffle Model with Personalized Privacy
PICASSO: automated soundtrack suggestion for multi-modal data
Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts
Temporal Contrastive Pre-Training for Sequential Recommendation
Information credibility analysis of web content
A Deep Learning Framework for Self-evolving Hierarchical Community Detection