yusuke1997/dblp-id-title huggingface dataset:
CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment
Empirical justification of the gain and discount function for nDCG
Matching and Indexing Sequences of Different Lengths
TNMCA: generation and application of network motif based inference models for drug repositioning
Cascade Variational Auto-Encoder for Hierarchical Disentanglement
ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models
Privacy-preserving Spatial Dataset Search in Cloud
Federated Node Classification over Distributed Ego-Networks with Secure Contrastive Embedding Sharing
Tweets and votes, a special relationship: the 2009 federal election in germany
Federated K-Private Set Intersection
Indexing electronic medical records using a taxonomy
Probabilistic Knowledge Graph Construction: Compositional and Incremental Approaches
Web-based statistical fact checking of textual documents
Towards Explainable Transaction Risk Analysis With Dual Graph Retrieval Augmented Generation
Graph Feature Gating Networks
Estimating query difficulty for news prediction retrieval
Hyperbolic Prompt Learning for Incremental Event Detection with LLMs
Interactive System for Reasoning about Document Age
Diva: a variance-based clustering approach for multi-type relational data
Metric Sentiment Learning for Label Representation
When LLM Meets Hypergraph: A Sociological Analysis on Personality via Online Social Networks
Kernel latent semantic analysis using an information retrieval based kernel
Reuse-based Optimization for Pig Latin
Semi-Automated Exploration of Data Warehouses
Identification of Genomic Features in the Classification of Loss- and Gain-of-Function Mutation: [Extended Abstract]
Booksonline'12: 5th workshop on online books, complementary social media and their impact
Combination of evidences in relevance feedback for xml retrieval
On the Effectiveness of Query Weighting for Adapting Rank Learners to New Unlabelled Collections
Computing Multi-Relational Sufficient Statistics for Large Databases
Cryptocurrency Price Forecasting using Variational Autoencoder with Versatile Quantile Modeling
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding
NeoMaPy: A Parametric Framework for Reasoning with MAP Inference on Temporal Markov Logic Networks
Dimensionality reduction using magnitude and shape approximations
Rank-Aware Gain-Based Evaluation of Extractive Summarization
WikiLabel: an encyclopedic approach to labeling documents en masse
FUTURE: Flexible Unlearning for Tree Ensemble
SAIU: An Efficient Cache Replacement Policy for Wireless On-demand Broadcasts
DIST: a distributed spatio-temporal index structure for sensor networks
Hydra: a hybrid recommender system [cross-linked rating and content information]
Minimal common container of tree patterns
Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search
Task Similarity Aware Meta Learning for Cold-Start Recommendation
Neural Attentive Session-based Recommendation
Influence Maximization With Co-Existing Seeds
Federated Deep Equilibrium Learning: Harnessing Compact Global Representations to Enhance Personalization
Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks
Wondering why data are missing from query results?: ask conseil why-not
"Deep" Learning for Missing Value Imputationin Tables with Non-Numerical Data
Behavior Analysis and Intelligent Agent Theory
Proceeding of the ACM First International Workshop on Complex Networks Meet Information & Knowledge Management, CIKM-CNIKM 2009, Hong Kong, China, November 6, 2009
Supporting ranked search in parallel search cluster networks
Using External Knowledge for Financial Event Prediction Based on Graph Neural Networks
Detecting and Ranking Conceptual Links between Texts Using a Knowledge Base
Detecting Cyberbullying using Latent Semantic Indexing
A Two-Stage Framework for Computing Entity Relatedness in Wikipedia
Summarizing biological literature with BioSumm
Recommending intra-institutional scientific collaboration through coauthorship network visualization
External Knowledge and Query Strategies in Active Learning: a Study in Clinical Information Extraction
Dynamic Bayesian Metric Learning for Personalized Product Search
An effective rule miner for instance matching in a web of data
Typed functional query languages with equational specifications
A Distributed Semantic Model based Method for Instance Disambiguation in User-generated Short Texts
Multi-Interest Refinement by Collaborative Attributes Modeling for Click-Through Rate Prediction
DAGP: Difficulty-Aware Graph Pruning for LLM-Based Multi-Agent System
SkyRec: Finding Pareto Optimal Groups
A pairwise ranking based approach to learning with positive and unlabeled examples
Query model refinement using word graphs
GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction
Contextual evaluation of query reformulations in a search session by user simulation
Joint Estimation of User And Publisher Credibility for Fake News Detection
Indexing Inheritance and Aggregation
Relevance feedback exploiting query-specific document manifolds
Trusted Media Challenge Dataset and User Study
Online spam-blog detection through blog search
Hypergraph Hash Learning for Efficient Trajectory Similarity Computation
Fast and accurate incremental entity resolution relative to an entity knowledge base
Personalizing web search results by reading level
Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching
A probabilistic method for inferring preferences from clicks
Maximum margin clustering on evolutionary data
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, October 19 - 23, 2015
Modeling clicks beyond the first result page
Query-bag Matching with Mutual Coverage for Information-seeking Conversations in E-commerce
Federated Continual Recommendation
MDFEND: Multi-domain Fake News Detection
Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint
Large-Scale Analysis of Dynamics of Choice Among Discrete Alternatives
Localized signature table: fast similarity search on transaction data
Metadata management for federated databases
aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots
Efficient Estimation of Triangles in Very Large Graphs
Insights from the Long-Tail: Learning Latent Representations of Online User Behavior in the Presence of Skew and Sparsity
Impression Pacing for Jobs Marketplace at LinkedIn
EntityEngine: answering entity-relationship queries using shallow semantics
HDDBrs middleware for implementing highly available distributed databases
A Reproducibility Study of Deep and Surface Machine Learning Methods for Human-related Trajectory Prediction
How should users access the content of digital books?
An on-line interactive method for finding association rules data streams
Approximate tensor decomposition within a tensor-relational algebraic framework
Perfect hash functions for large dictionaries
SearchEHR: A Family History Search System for Clinical Decision Support
Clustering object moving patterns for prediction-based object tracking sensor networks
Efficient Document Filtering Using Vector Space Topic Expansion and Pattern-Mining: The Case of Event Detection in Microposts
Streamline Density Peak Clustering for Practical Adoptions
Exploring a High-quality Outlying Feature Value Set for Noise-Resilient Outlier Detection in Categorical Data
An Interventional Approach to Real-Time Disaster Assessment via Causal Attribution
DualBoost: Handling Missing Values with Feature Weights and Weak Classifiers that Abstain
Relevance Estimation with Multiple Information Sources on Search Engine Result Pages
Towards Completeness-Oriented Tool Retrieval for Large Language Models
Modeling Consumer Buying Decision for Recommendation Based on Multi-Task Deep Learning
Efficient data dissemination using locale covers
Relative effect of spam and irrelevant documents on user interaction with search engines
PathRank: a novel node ranking measure on a heterogeneous graph for recommender systems
A Data Dictionary as a Lexicon: An Application of Linguistics in Information Systems
Accounting for Temporal Dynamics in Document Streams
Size and Source Matter: Understanding Inconsistencies in Test Collection-Based Evaluation
Helping people to choose for whom to vote. a web information system for the 2009 European elections
MeowsReader: Real-Time Ranking and Filtering of News with Generalized Continuous Top-k Queries
3rd BooksOnline workshop: research advances in large digital book repositories and complementary media
Content-driven detection of campaigns in social media
LAPIS: Language Model-Augmented Police Investigation System
Waypoint POI Recommendation for Vehicle Navigation Services using Hierarchical Graphs and Contrastive Learning
RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation
Active relevance feedback for difficult queries
LLM-PQA: LLM-enhanced Prediction Query Answering
Federated Competing Risk Analysis
Leveraging Generative Models for Real-Time Query-Driven Text Summarization in Large-Scale Web Search
Towards an enhanced and adaptable ontology by distilling and assembling online encyclopedias
Detecting Outliers in Data with Correlated Measures
A Crowd-powered Model for Identifying Negative Citations
Communication-Efficient Distributed Skyline Computation
Regularizing Deep Neural Networks by Ensemble-based Low-Level Sample-Variances Method
Verifiable UML Artifact-Centric Business Process Models
Exploring re-ranking approaches for joint named-entityrecognition and linking
A Comparison of Alternative Continuous Display Techniques with Heterogeneous Multi-Zone Disks
Solar Forecasting with Causality: A Graph-Transformer Approach to Spatiotemporal Dependencies
Learning Latent Vector Spaces for Product Search
POLAR: Policy Optimization for Literature Analysis under Review Constraints
Using opinion-based features to boost sentence retrieval
Balance and Brighten: A Twin-Propeller Network to Release Potential of Physics Laws for Traffic State Estimation
Replication and retrieval strategies of multidimensional data on parallel disks
A Near Optimal Algorithm for Generating Broadcast Programs on Multiple Channels
Hotness-aware buffer management for flash-based hybrid storage systems
Incorporating Fairness in Large-scale Evacuation Planning
Combining Local and Global Word Embeddings for Microblog Stemming
To Know What User Concerns: Conceptual Knowledge Reasoning for User Satisfaction Estimation in E-Commerce Dialogue Systems
MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction
Meta-Transfer-Learning for Time Series Data with Extreme Events: An Application to Water Temperature Prediction
Predicting document effectiveness in pseudo relevance feedback
First author advantage: citation labeling in research
Field-wise Embedding Size Search via Structural Hard Auxiliary Mask Pruning for Click-Through Rate Prediction
Deep Learning for Blast Furnaces: Skip-Dense Layers Deep Learning Model to Predict the Remaining Time to Close Tap-holes for Blast Furnaces
Frequent pattern discovery with memory constraint
Creating user interfaces that entice people to manage better information
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation
An Integrated Approach to Quality Assurance of Expert System Knowledge Bases
What You Look Matters?: Offline Evaluation of Advertising Creatives for Cold-start Problem
FairSplit: Mitigating Bias in Graph Neural Networks through Sensitivity-based Edge Partitioning
Experimenting with Temporal Relational Databases
A framework for mining topological patterns in spatio-temporal databases
MashQL: a query-by-diagram topping SPARQL
User Identification with Spatio-Temporal Awareness across Social Networks
Modeling topic hierarchies with the recursive chinese restaurant process
Unsupervised Domain Adaptation for Static Malware Detection based on Gradient Boosting Trees
Satisfaction-Aware User Interest Network for Click-Through Rate Prediction
Personalized Federated Recommendation with Multi-Faceted User Representation and Global Consistent Prototype
Raindrop: a uniform and layered algebraic framework for XQueries on XML streams
Polygene-based evolution: a novel framework for evolutionary algorithms
Integrating Multi-Network Topology via Deep Semi-supervised Node Embedding
Easiest-first search: towards comprehension-based web search
Serpens: Privacy-Preserving Inference through Conditional Separable of Convolutional Neural Networks
EmVis - A Visual e-Mail Analysis Tool
Spending Money Wisely: Online Electronic Coupon Allocation based on Real-Time User Intent Detection
Approximate membership localization (AML) for web-based join
Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework
Frequency-Domain Disentanglement-Fusion and Dual Contrastive Learning for Sequential Recommendation
Is wikipedia too difficult?: comparative analysis of readability of wikipedia, simple wikipedia and britannica
Improving novelty detection for general topics using sentence level information patterns
Advanced Grouping and Aggregation for Data Integration
Optimizing web search using web click-through data
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
Distance-function design and fusion for sequence data
Proceedings of the 2003 ACM CIKM International Conference on Information and Knowledge Management, New Orleans, Louisiana, USA, November 2-8, 2003
On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems
CSNE: Conditional Signed Network Embedding
Clinical data analysis using ontology-guided rule learning
Modeling latent topic interactions using quantum interference for information retrieval
Loyalty-based selection: retrieving objects that persistently satisfy criteria
Geometric Matrix Completion via Sylvester Multi-Graph Neural Network
Characterizing and Predicting Viral-and-Popular Video Content
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification
Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring
GALVIS: Visualization Construction through Example-Powered Declarative Programming
Medical Question Answering for Clinical Decision Support
Variational Recurrent Model for Session-based Recommendation
Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios
Causality-aware Graph Aggregation Weight Estimator for Popularity Debiasing in Top-K Recommendation
Personalization as a service: the architecture and a case study
Federated Topic Modeling
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries
Exploring Legal Patent Citations for Patent Valuation
Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning
Text classification improved through multigram models
A Contextual Combinatorial Semi-Bandit Approach to Network Bottleneck Identification
Leveraging Large Language Models for Improving Keyphrase Generation for Contextual Targeting
The Update of Index Structures in Object-Oriented DBMS
Vertical-Aware Click Model-Based Effectiveness Metrics
Annotating software documentation in semantic wikis
Structure-based query-specific document summarization
Context-aware Traffic Flow Forecasting in New Roads
Temporal query log profiling to improve web search ranking
Inferring query aspects from reformulations using clustering
Causal-Aware Generative Imputation for Automated Underwriting
Lead-lag analysis via sparse co-projection in correlated text streams
A Two-tier Shared Embedding Method for Review-based Recommender Systems
Building a large-scale corpus for evaluating event detection on twitter
Towards Robust False Information Detection on Social Networks with Contrastive Learning
A novel distributed P2P simulator architecture: D-P2P-sim
Inferring appropriate eligibility criteria in clinical trial protocols without labeled data
On Disk Caching of Web Objects in Proxy Servers
Mining and Planning Time-aware Routes from Check-in Data
XCFS: an XML documents clustering approach using both the structure and the content
Bringing Order to Network Embedding: A Relative Ranking based Approach
Exploiting term relationship to boost text classification
Scalable Expressiveness through Preprocessed Graph Perturbations
NEST: Simulating Pandemic-like Events for Collaborative Filtering by Modeling User Needs Evolution
One Rating to Rule Them All?: Evidence of Multidimensionality in Human Assessment of Topic Labeling Quality
Local methods for estimating pagerank values
Asking what no one has asked before: using phrase similarities to generate synthetic web search queries
Company-Specific Knowledge Matters: Retrieval-Augmented Generation for Earnings Call Answer Rehearsal
FedSTEP: Asynchronous and Staleness-Aware Personalization for Efficient Federated Learning
Neuro-symbolic Visual Reasoning for Multimedia Event Processing: Overview, Prospects and Challenges
High throughput filtering using FPGA-acceleration
What Can History Tell Us?
UNIK: unsupervised social network spam detection
Academic conference homepage understanding using constrained hierarchical conditional random fields
Towards the Semantic Interpretation of Personal Health Messages from Social Media
Plackett-Luce Regression Mixture Model for Heterogeneous Rankings
Incorporating the Latent Link Categories in Relational Topic Modeling
A new approach to intranet search based on information extraction
Using Large Language Models to Improve Product Information in E-commerce Catalogs
iNewsBox: modeling and exploiting implicit feedback for building personalized news radio
See Beyond a Single View: Multi-Attribution Learning Leads to Better Conversion Rate Prediction
Task Planning Agents in the UMDL
Dialogue State Tracking Based on Hierarchical Slot Attention and Contrastive Learning
Report on the second international workshop on cloud data management (CloudDB 2010)
Forward Creation, Reverse Selection: Achieving Highly Pertinent Multimodal Responses in Dialogue Contexts
Imbalanced Graph Classification via Graph-of-Graph Neural Networks
DOLAP 2013 workshop summary
Fast Word Recognition for Noise channel-based Models in Scenarios with Noise Specific Domain Knowledge
CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation
Detection of near-duplicate user generated contents: the SMS spam collection
Analyzing sentiments from street harassment stories
Scholarly big data: information extraction and data mining
SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs
Exploiting bidirectional links: making spamming detection easier
Local Replication for Proxy Web Caches with Hash Routing
WiSeNet: building a wikipedia-based semantic network with ontologized relations
Constructing a Comprehensive Events Database from the Web
Choosing your own adventure: automatic taxonomy generation to permit many paths
Hateful Comment Detection and Hate Target Type Prediction for Video Comments
Enhancing Relevance of Embedding-based Retrieval at Walmart
MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs
Keeping Found Things Found on the Web
STFMap: query- and feature-driven visualization of large time series data sets
Table-Filling via Mean Teacher for Cross-domain Aspect Sentiment Triplet Extraction
HiCoVA: Hierarchical Conditional Variational Autoencoder for Keyphrase Generation
Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems
A georeferencing multistage method for locating geographic context in web search
Jointly Contrastive Representation Learning on Road Network and Trajectory
Robust Contextual Outlier Detection: Where Context Meets Sparsity
Improving the Gain of Visual Perceptual Behaviour on Topic Modeling for Text Recommendation
Locating Passages Using a Case-Based of Excerpts
Contrastive Keyword Extraction from Versioned Documents
IDEAL: IDEntifying the User's IdeAL Tuple via Sorting in the Database
Spatial-aware interest group queries in location-based social networks
Popcorn: Human-in-the-loop Popularity Debiasing in Conversational Recommender Systems
Graph mining and influence propagation
A Robust Clustered Federated Learning Approach for Non-IID Data with Quantity Skew
Query and Animate Multi-attribute Trajectory Data
DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities
Predicting the volume of comments on online news stories
Semantic discovery from web comparison queries
A combination of trie-trees and inverted files for the indexing of set-valued attributes
Task-Guided Pair Embedding in Heterogeneous Network
Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction
When Variety Seeking Meets Multi-Sided Recommendation Fairness: A Consistent and Personalized Multi-Objective Optimization Framework
ORCAS: 20 Million Clicked Query-Document Pairs for Analyzing Search
Collective prediction with latent graphs
TransAct V2: Lifelong User Action Sequence Modeling on Pinterest Recommendation
Identifying Contemporaneous and Lagged Dependence Structures by Promoting Sparsity in Continuous-time Neural Networks
A Quantum Many-body Wave Function Inspired Language Modeling Approach
Large-scale Efficient and Effective Video Similarity Search
SAKG: Structure-Aware Large Language Model Framework for Knowledge Graph Reasoning
PlateClick: Bootstrapping Food Preferences Through an Adaptive Visual Interface
What makes categories difficult to classify?: a study on predicting classification performance for categories
Deep Sequence-to-Sequence Entity Matching for Heterogeneous Entity Resolution
Improved and Robust Controversy Detection in General Web Pages Using Semantic Approaches under Large Scale Conditions
Neuron Specific Pruning for Communication Efficient Federated Learning
Google, bing and a new perspective on ranking similarity
LUKe and MIKe: learning from user knowledge and managing interactive knowledge extraction
THGNN: An Embedding-based Model for Anomaly Detection in Dynamic Heterogeneous Social Networks
Social Influence Learning for Recommendation Systems
MSKR: Advancing Multi-modal Structured Knowledge Representation with Synergistic Hard Negative Samples
Pattern based keyword extraction for contextual advertising
Comments-oriented blog summarization by sentence extraction
I4TSRS: A System to Assist a Data Engineer in Time-Series Dimensionality Reduction in Industry 4.0 Scenarios
Temporal corpus summarization using submodular word coverage
PRIVATA: Differentially Private Data Market Framework using Negotiation-based Pricing Mechanism
A reliable storage management layer for distributed information retrieval systems
Cooperative caching for k-NN search in ad hoc networks
Cooperative Max-Pressure Enhanced Traffic Signal Control
An evaluation of evolved term-weighting schemes in information retrieval
An Interface Sketch for Queripidia: Query-driven Knowledge Portfolios from the Web
A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data
Adaptive Algorithms for Estimating Betweenness and k -path Centralities
Outcome aware ranking in interaction networks
Experiments on pattern-based relation learning
Learning to Generate Personalized Product Descriptions
Query taxonomy generation for web search
Temporal Distance-aware Subgoal Generation for Offline Hierarchical Reinforcement Learning
Agents for Internet Information Clients
Temporal dynamics and information retrieval
MGNETS: Multi-Graph Neural Networks for Table Search
GraphRCG: Self-Conditioned Graph Generation
Tree, funny, to_read, google: what are tags supposed to achieve? a comparative analysis of user keywords for different digital resource types
A system for detecting xml similarity in content and structure using relational database
Improving Collaborative Filtering via Hidden Structured Constraint
Scalable Transformer for High Dimensional Multivariate Time Series Forecasting