yusuke1997/dblp-id-title huggingface dataset:
TPUF: Enhancing Cross-domain Sequential Recommendation via Transferring Pre-trained User Features
Relational Multi-Path Enhancement for Extrapolative Relation Reasoning in Temporal Knowledge Graph
Intelligent sales forecasting engine using genetic algorithms
Proceedings of the 2015 Workshop on Evaluation on Collaborative Information Retrieval and Seeking, ECol 2015, Melbourne, Australia, October 23, 2015
Optimizing Boiler Control in Real-Time with Machine Learning for Sustainability
Category-aware Graph Neural Networks for Improving E-commerce Review Helpfulness Prediction
Faceted Search over Ontology-Enhanced RDF Data
A New Parallel Signature File Method for Efficient Information Retrieval
Query-Sensitive Similarity Measures for the Calculation of Interdocument Relationships
Influence and similarity on heterogeneous networks
Spatial Query Processing Using Object Decomposition Method
Improving Event Detection by Automatically Assessing Validity of Event Occurrence in Text
How Safe is Your (Taxi) Driver?
Question routing in community question answering: putting category in its place
Retrieval-LTV: Fine-Grained Transfer Learning for Lifetime Value Estimation in Large-Scale Industrial Retrieval
Efficient techniques for document sanitization
ProActLLM: Proactive Conversational Information Seeking with Large Language Models
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models
Approximate Truth Discovery via Problem Scale Reduction
Linguistic Instruments and Qualitative Reasoning for Schema Integration
Modeling Paying Behavior in Game Social Networks
ProxySampler: Proxy Informativeness Estimation for Efficient Data Selection in Active Learning
Identify Risky Rules to Reduce Side Effects in Association Rule Hiding
A Mixtures-of-Trees Framework for Multi-Label Classification
Updates and View Maintenance in Soft Real-Time Database Systems
Disseminate your research: style does matter
Product Exploration based on Latent Visual Attributes
Distant Supervision in BERT-based Adhoc Document Retrieval
Towards interactive indexing for large Chinese calligraphic character databases
Profiling DRDoS Attacks with Data Analytics Pipeline
Probabilistic Approaches to Controversy Detection
High Availability Framework and Query Fault Tolerance for Hybrid Distributed Database Systems
Towards Confidence-aware Calibrated Recommendation
Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019
An Optimization Framework for Propagation of Query-Document Features by Query Similarity Functions
Out of the Box Thinking: Improving Customer Lifetime Value Modelling via Expert Routing and Game Whale Detection
Translating relevance scores to probabilities for contextual advertising
Incorporating Co-purchase Correlation for Next-basket Recommendation
Mining Shopping Patterns for Divergent Urban Regions by Incorporating Mobility Data
A Performance Comparison of bitmap indexes
A peer-selection algorithm for information retrieval
CIKM 2013 workshop on living labs for information retrieval evaluation
City Foundation Models for Learning General Purpose Representations from OpenStreetMap
Next-Generation Price Recommendation with LLM-Augmented Graph Transformers
ranx.fuse: A Python Library for Metasearch
Generating concise association rules
Traffic-Cascade: Mining and Visualizing Lifecycles of Traffic Congestion Events Using Public Bus Trajectories
Knowledge Graphs for Responsible AI
Towards Robustness to Label Noise in Text Classification via Noise Modeling
When Optimizer Chooses Table Scans: How to Make Them More Responsive
Web unit mining: finding and classifying subgraphs of web pages
PODIUM: Procuring Opinions from Diverse Users in a Multi-Dimensional World
On Equivalence of Queries in Uncertain Databases
Flexible List Management in a Directory
The generalized dirichlet distribution in enhanced topic detection
Knowledge-aware Textual Entailment with Graph Attention Network
Cross-Domain Recommendation via Preference Propagation GraphNet
A unified relevance model for opinion retrieval
Web-scale multi-task feature selection for behavioral targeting
Shared-Nothing Distributed Enumeration of 2-Plexes
Unsupervised Anomaly Detection & Diagnosis: A Stein Variational Gradient Descent Approach
Text Classification Using ESC-based Stochastic Decision Lists
Mining conceptual graphs for knowledge acquisition
YaSemIR: yet another semantic information retrieval system
OptiLIME: Optimized LIME Explanations for Diagnostic Computer Algorithms
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014
Discovering Entities with Just a Little Help from You
Toward an Effective Black-Box Adversarial Attack on Functional JavaScript Malware against Commercial Anti-Virus
Creating Scoring Rubric from Representative Student Answers for Improved Short Answer Grading
High-dimensional descriptor indexing for large multimedia databases
Approximate and Interactive Processing of Aggregate Queries on Knowledge Graphs: A Demonstration
Budgeted Task Scheduling for Crowdsourced Knowledge Acquisition
Target Item-oriented Conditional Diffusion Differential Transformer for Next-Item Prediction
Extensible Perfect Hashing
Multi-domain Recommendation with Embedding Disentangling and Domain Alignment
Local Ensemble across Multiple Sources for Collaborative Filtering
COPA: Constrained PARAFAC2 for Sparse & Large Datasets
Towards jointly extracting aspects and aspect-specific sentiment knowledge
Exploring Low-Dimensional Manifolds of Deep Neural Network Parameters for Improved Model Optimization
Application of semantic annotations to predicting users' demographics
The query-flow graph: model and applications
Diversity in blog feed retrieval
CovidExplorer: A Multi-faceted AI-based Search and Visualization Engine for COVID-19 Information
PRECISE: Pre-training and Fine-tuning Sequential Recommenders with Collaborative and Semantic Information
Collaborative Alert Ranking for Anomaly Detection
Domain Alignment with Large Vision-language Models for Cross-domain Remote Sensing Image Retrieval
On the Fly Detection of Root Causes from Observed Data with Application to IT Systems
Robust Multi-Label Learning with Instance-Dependent Label Noise
Measuring robustness of complex networks under MVC attack
On bias problem in relevance feedback
CAG: A Consistency-Adaptive Text-Image Alignment Generation for Joint Multimodal Entity-Relation Extraction
Efficient Processing of Conical Queries
Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots
MaC: A Probabilistic Framework for Query Answering with Machine-Crowd Collaboration
Efficient interactive query expansion with complete search
BLUTune: Query-informed Multi-stage IBM Db2 Tuning via ML
HiPo: Detecting Fake News via Historical and Multi-Modal Analyses of Social Media Posts
Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation
Towards the definition of requirements for mixed fact and opinion question answering systems
Preserving Privacy of Fraud Detection Rule Sharing Using Intel's SGX
Exposing the Vagueness of Query Results on Partly Inaccessible Databases
Improving Query Correction Using Pre-train Language Model In Search Engines
A two-stage approach to domain adaptation for statistical classifiers
DeepEyeNet: Generating Medical Report for Retinal Images
Discover breaking events with popular hashtags in twitter
User browsing behavior-driven web crawling
Taxonomy-Enhanced Graph Neural Networks
Rule Validation Based on Logical Deduction
A co-training based method for chinese patent semantic annotation
Large-scale question classification in cQA by leveraging Wikipedia semantic knowledge
Knowledge Graphs for Knowing More and Knowing for Sure
On the relationship between novelty and popularity of user-generated content
Texture BERT for Cross-modal Texture Image Retrieval
FacetCube: a framework of incorporating prior knowledge into non-negative tensor factorization
On the Diversity and Explainability of Recommender Systems: A Practical Framework for Enterprise App Recommendation
G-tree: an efficient index for KNN search on road networks
Spectral Relaxations and Fair Densest Subgraphs
Why Misinformation is Created? Detecting them by Integrating Intent Features
A Database Disk Buffer Management Algorithm Based on Prefetching
Document quality models for web ad hoc retrieval
A Corpus Analysis Approach for Automatic Query Expansion
Boosting Meta-Learning Cold-Start Recommendation with Graph Neural Network
Ontology-Based Extraction and Structuring of Information from Data-Rich Unstructured Documents
Efficient join processing over uncertain data
Sparse Semantic Hashing for Efficient Large Scale Similarity Search
Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation
LEAD-ID: Language-Enhanced Denoising and Intent Distinguishing Graph Neural Network for Sponsored Search Broad Retrievals
A new permutation approach for distributed association rule mining
DynamicRec: A Dynamic Convolutional Network for Next Item Recommendation
A novel scheme for domain-transfer problem in the context of sentiment analysis
Exploring Neural Translation Models for Cross-Lingual Text Similarity
Service Agents for Customer Self-Service
Relation-Aware Diffusion Model for Controllable Poster Layout Generation
Suggesting ghost edges for a smaller world
terazi: AI Fairness Tool for Doubly Imbalanced Data
Non-autoregressive Generative Auction with Global Externalities for Online Advertising
Effective XML content and structure retrieval with relevance ranking
Personalized Trip Recommendation with POI Availability and Uncertain Traveling Time
QuaPy: A Publicly Available Python-Based Software Library for Quantification
Uncovering collusive spammers in Chinese review websites
RDGSL: Dynamic Graph Representation Learning with Structure Learning
Recommending program committee candidates for academic conferences
Selectivity-based partitioning: a divide-and-union paradigm for effective query optimization
Towards Self-Explainable Graph Neural Network
Clustering and Labeling a Web Scale Document Collection using Wikipedia clusters
AdaSum: an adaptive model for summarization
Trustable aggregation of online ratings
An Efficient Hierarchical Scheme for Locating Highly Mobile Users
Using RankBoost to compare retrieval systems
Multi-Behavior Generative Recommendation
Balancing performance and confidentiality in air index
An Encoder-Memory-Decoder Framework for Sub-Event Detection in Social Media
Fast Random Forest Algorithm via Incremental Upper Bound
On quantifying changes in temporally evolving dataset
Cross-domain sentiment classification using a two-stage method
Query Relaxation across Heterogeneous Data Sources
Topical authority propagation on microblogs
Frequency-Decoupled Distillation for Efficient Multimodal Recommendation
The Third Workshop on Data-driven Intelligent Transportation
Denoising Individual Bias for Fairer Binary Submatrix Detection
Scalable mining of social data using stochastic gradient fisher scoring
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks
Abstra: Toward Generic Abstractions for Data of Any Model
Evidence-aware Document-level Relation Extraction
ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks
Reenactment for Read-Committed Snapshot Isolation
A Market-based Resource Management and QoS Support Framework for Distributed Multimedia Systems
Fully Dynamic Algorithm for Top- k Densest Subgraphs
A Combined Representation Learning Approach for Better Job and Skill Recommendation
Understanding the wikipedia phenomenon: a case for agent based modeling
Answering Twitter Questions: a Model for Recommending Answerers through Social Collaboration
A Probabilistic Multi-Touch Attribution Model for Online Advertising
Assessing Natural Language Explanations of Relational Graph Neural Networks
A targeted web crawling for building malicious javascript collection
Towards Effective Fusion and Forecasting of Multimodal Spatio-temporal Data for Smart Mobility
AIResume: Automated Generation of Resume Work History
A Study of Feature Construction for Text-based Forecasting of Time Series Variables
DSDD: Domain-Specific Dataset Discovery on the Web
Detecting controversial events from twitter
Unsupervised Feature Selection with Heterogeneous Side Information
Counterfactual Generative Smoothing for Imbalanced Natural Language Classification
Hierarchical Active Learning with Overlapping Regions
Improving Label Quality in Crowdsourcing Using Noise Correction
Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention
Leveraging Event Schema to Ask Clarifying Questions for Conversational Legal Case Retrieval
Robust models of mouse movement on dynamic web search results pages
An efficient and robust privacy protection technique for massive streaming choice-based information
Ranking model adaptation for domain-specific search
Personalized Recommendation Meets Your Next Favorite
Distilling Knowledge Based on Curriculum Learning for Temporal Knowledge Graph Embeddings
Enhancing Content-based Recommendation via Large Language Model
Forecasting the Buzz: Enriching Hashtag Popularity Prediction with LLM Reasoning
ClozeSearch: A Collocation Retrieval Application to Assist in Scientific Writing
Leveraging social context for searching social media
Learning to Personalize for Web Search Sessions
Modeling and exploiting query interactions in database systems
A decision support system for green data centers
Automatic labeling hierarchical topics
Tracking the Evolution of Congestion in Dynamic Urban Road Networks
Using Wavelet Decomposition to Support Progressive and Approximate Range-Sum Queries over Data Cubes
Streamlining Feature Interactions via Selectively Crossing Vectors for Click-Through Rate prediction
Accurate information extraction for quantitative financial events
Forgetting-aware Linear Bias for Attentive Knowledge Tracing
An Optimal Graph Traversal Algorithm for Evaluating Linear Binary-Chain Programs
Local Structure-Adaptive Graph Filtering for Collaborative Filtering
Keyword Search on RDF Graphs - A Query Graph Assembly Approach
Effective Document Labeling with Very Few Seed Words: A Topic Model Approach
HIN2Vec: Explore Meta-paths in Heterogeneous Information Networks for Representation Learning
Jointly-Learned State-Action Embedding for Efficient Reinforcement Learning
Intelligent Hypertext: Advanced Techniques for the World Wide Web
AMBER: Adaptive Meta Balanced Paradigm for Heterogeneous Graph-Based Knowledge Tracing
Attribute Weighting: A Method of Applying Domain Knowledge in the Decision Tree Process
Efficient Computation of Trips with Friends and Families
PatOlympics: an infrastructure for interactive evaluation of patent retrieval tools
April: A Language for Building Intelligent Distributed Information Retrieval Systems
Online learning for multi-task feature selection
Forming Online Support Groups for Internet and Behavior Related Addictions
Automatic Conversational Helpdesk Solution using Seq2Seq and Slot-filling Models
Linear-time enumeration of maximal K-edge-connected subgraphs in large networks by random contraction
Topic-oriented collaborative crawling
Demonstration of ViTA: Visualizing, Testing and Analyzing Index Advisors
Towards Supporting Hard Schema Changes in TSE
Jasmine: Exploring the Dependency-Aware Execution on Distributed Shared Memory
Inference of Disease E3s from Integrated Functional Relation Network
Information fusion in taxonomic descriptions
Sentiment Domain Adaptation with Multi-Level Contextual Sentiment Knowledge
Spam filtering for short messages
Task Assignment with Worker Churn Prediction in Spatial Crowdsourcing
Discovering frequently changing structures from historical structural deltas of unordered XML
Probabilistic polyadic factorization and its application to personalized recommendation
Vetting the links of the web
SciQL: a query language for unified scientific data processing and management
Discovering Graph Temporal Association Rules
Weakly-Supervised Online Hashing with Refined Pseudo Tags
Using program synthesis for social recommendations
DOLAP 2012 workshop summary
Clustering: probably approximately useless?
FunLoc: A Novel Function-level Bug Localization Framework Enhanced by Contrastive and Active Learning Strategies
Design and evaluation of an ir-benchmark for sparql queries with fulltext conditions
Region Representation Learning via Mobility Flow
A machine-learned proactive moderation system for auction fraud detection
Efficiently Training Intelligible Models for Global Explanations
Multi-cycle forecasting of congressional elections with social media
Generating Keyword Queries for Natural Language Queries to Alleviate Lexical Chasm Problem
A Parallel GPU-Based Approach to Clustering Very Fast Data Streams
ELF-Gym: Evaluating Large Language Models Generated Features for Tabular Prediction
Interpretable Electronic Transfer Fraud Detection with Expert Feature Constructions
Temporal Network Embedding via Tensor Factorization
Exploiting Enterprise Models for the Automatic Distribution of Corporate Information
Multimodal Meta-Learning for Cold-Start Sequential Recommendation
Aggregated Gradients-based Adaptive Learning Rate Design in Federated Learning
Uplift Modeling: From Causal Inference to Personalization
OASIS: Open-world Adaptive Self-supervised and Imbalanced-aware System
PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis
Domain dependent query reformulation for web search
PromptORE - A Novel Approach Towards Fully Unsupervised Relation Extraction
Towards Fairer Classifier via True Fairness Score Path
ERC++: A Conceptual Data Model Based on Object and Logic Paradigms
MadSGM: Multivariate Anomaly Detection with Score-based Generative Models
Communication motifs: a tool to characterize social communications
Document re-ranking using cluster validation and label propagation
Image Hashing Based on Hamming Ball Spacing
Enhancing Deep Entity Resolution with Integrated Blocker-Matcher Training: Balancing Consensus and Discrepancy
Dual-Oriented Contrast for Recommendation with A Stop-Gradient Operation
ULTRA: An Unbiased Learning To Rank Algorithm Toolbox
Peer production of structured knowledge -: an empirical study of ratings and incentive mechanisms
I-REX: A Lucene Plugin for EXplainable IR
Answering POI-recommendation Questions using Tourism Reviews
Evolving social search based on bookmarks and status messages from social networks
An empirical study on using hidden markov model for search interface segmentation
Query Reformulation for Descriptive Queries of Jargon Words Using a Knowledge Graph based on a Dictionary
Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerce
Graph classification: a diversified discriminative feature selection approach
Multi-Aspect Embedding of Dynamic Graphs
On the Duality of Distributed Databases and Distributed AI Systems
Advancing Multivariate Time Series Anomaly Detection: A Comprehensive Benchmark with Real-World Data from Alibaba Cloud
Karate Club: An API Oriented Open-Source Python Framework for Unsupervised Learning on Graphs
CheckGuard: Advancing Stolen Check Detection with a Cross-Modal Image-Text Benchmark Dataset
Assessing sparse information extraction using semantic contexts
Interactive Text-to-Visualization: Refining Visualization Outputs Through Natural Language User Feedback
Analyzing the Landscape of Anti-Cancer Drug Research in Pancreatic Cancer
Proposal for Coexistence of Mathematical Handwritten and Keyboard Input in a WYSIWYG Expression Editor
SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting
Statistical source expansion for question answering
Fast mining of complex time-stamped events
EDSC: efficient density-based subspace clustering
Tools for View Generation in Object-Oriented Databases
Discovering URLs through user feedback
Meta-Path-based Fake News Detection Leveraging Multi-level Social Context Information
Declarative User Selection with Soft Constraints
Assistant for an Information Database
Community Topic Usage in Social Networks
ALEX: Active Learning based Enhancement of a Classification Model's EXplainability
How Much Do Prompting Methods Help LLMs on Quantitative Reasoning with Irrelevant Information?
Ranking Deep Web Text Collections for Scalable Information Extraction
Heterogeneous Neural Attentive Factorization Machine for Rating Prediction
Multi-Armed Bandits with Biased and Heteroscedastic Auxiliary Rewards
Evidential Relational-Graph Convolutional Networks for Entity Classification in Knowledge Graphs
Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning
Revisiting the Inner Product Method: Optimizing Sparse Matrix Multiplication via Set Intersection
Integrating Structure and Text for Enhancing Hyper-relational Knowledge Graph Representation via Structure Soft Prompt Tuning
Unplug and Play Language Models: Decomposing Experts in Language Models at Inference Time
FEDDGCN: A Frequency-Enhanced Decoupling Dynamic Graph Convolutional Network for Traffic Flow Prediction
Visualization of Communication Patterns in Collaborative Innovation Networks - Analysis of Some W3C Working Groups
DIGRank: using global degree to facilitate ranking in an incomplete graph
Marine-tree: A Large-scale Marine Organisms Dataset for Hierarchical Image Classification
Modeling personalized email prioritization: classification-based and regression-based approaches
Time-sensitive Personalized Query Auto-Completion
Implementing new knowledge environments: building upon research foundations to understand books and reading in the digital age
Manipulating Out-Domain Uncertainty Estimation in Deep Neural Networks via Targeted Clean-Label Poisoning
TweetsCOV19 - A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic
Modeling context-dependent information
A Modular Adversarial Approach to Social Recommendation
TwinBandit Prompt Optimizer: Adaptive Prompt Optimization via Synergistic Dual MAB-Guided Feedback
Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media
Local clustering in provenance graphs
Exploring the Veracity of Online Claims with BackDrop
Boosting Graph Alignment Algorithms
IAI MovieBot: A Conversational Movie Recommender System
Hypergraph-based multilevel matrix approximation for text information retrieval
CV-PCR: a context-guided value-driven framework for patent citation recommendation
Improve Network Embeddings with Regularization
Attentive Neural Architecture for Ad-hoc Structured Document Retrieval
The gardener's problem for web information monitoring
How can search interfaces enhance the value of semantic annotations (and vice versa)
ST-LINK: Spatially-Aware Large Language Models for Spatio-Temporal Forecasting
Improving verbose queries using subset distribution
Balanced Supervised Non-Negative Matrix Factorization for Childhood Leukaemia Patients
Regularization and feature selection for networked features
OntoLDiff: A Highly Efficient System for Tracking Logical Difference in Large-Scale Ontologies
Automatic ad format selection via contextual bandits
Discovering Canonical Correlations between Topical and Topological Information in Document Networks
Identify Relevant Entities Through Text Understanding
DANet: A RAG-inspired Dual Attention Model for Few-shot Time Series Prediction
EDGE: Evaluation Framework for Logical vs. Subgraph Explanations for Node Classifiers on Knowledge Graphs
Proceeding of the ACM First International Workshop on Data-Intensive Software Management and Mining, CIKM-DSMM 2009, Hong Kong, China, November 6, 2009
Topic and keyword re-ranking for LDA-based topic modeling
The EDAM project: mining mass spectra and more
Using Linguistic and Discourse Structures to Derive Topics
A neighborhood-based approach for clustering of linked document collections
GMTL: A GART Based Multi-task Learning Model for Multi-Social-Temporal Prediction in Online Games
Fast and reliable anomaly detection in categorical data