yusuke1997/dblp-id-title huggingface dataset:
A Projected Gradient Method for Opinion Optimization with Limited Changes of Susceptibility to Persuasion
Efficient LCA based keyword search in xml data
Timing when to buy
DeepCrime: Attentive Hierarchical Recurrent Networks for Crime Prediction
CIKM '96, Proceedings of the Fifth International Conference on Information and Knowledge Management, November 12 - 16, 1996, Rockville, Maryland, USA
Unapparent information revelation: a concept chain graph approach
Characterizing Wikipedia pages using edit network motif profiles
A personalized recommendation system on scholarly publications
User assisted text classification and knowledge management
Focusing on novelty: a crawling strategy to build diverse language models
Learning to rank user intent
A practical web-based approach to generating topic hierarchy for text segments
Answering general time sensitive queries
Group-based learning: a boosting approach
Online learning for recency search ranking using real-time user feedback
WS-GraphMatching: a web service tool for graph matching
A tag recommendation system for folksonomy
Unsupervised discovery and extraction of semi-structured regions in text via self-information
Towards an advanced system for real-time event detection in high-volume data streams
Automatic annotation of bibliographical references in digital humanities books, articles and blogs
Latent Aspect Mining via Exploring Sparsity and Intrinsic Information
An Event-Oriented Neural Ranking Model for News Retrieval
Exploration of Dynamic Query-Based Load Balancing for Partially Replicated Database Systems with Node Failures
Action Sequence Augmentation for Early Graph-based Anomaly Detection
Privacy preserving indexing for eHealth information networks
Data Imputation from the Perspective of Graph Dirichlet Energy
Effective top-k computation in retrieving structured documents with term-proximity support
Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning
Little Ball of Fur: A Python Library for Graph Sampling
CUSNTF: A Scalable Sparse Non-negative Tensor Factorization Model for Large-scale Industrial Applications on Multi-GPU
A Variational U-Net for Weather Forecasting
Single-Setup Privacy Enforcement for Heterogeneous Data Ecosystems
Formalizing ontology reconciliation techniques as a basis for meaningful mediation in service-related tasks
Secret Agents: A Security Architecture for KQML
Fast and Accurate Anchor Graph-based Label Prediction
Unsupervised Aspect Term Extraction by Integrating Sentence-level Curriculum Learning with Token-level Self-paced Learning
Leveraging Trustworthy Node Attributes for Effective Network Alignment
Popularity-aware Distributionally Robust Optimization for Recommendation System
Commonsense Properties from Query Logs and Question Answering Forums
Topological Graph Sketching for Incremental and Scalable Analytics
Multi-Modal Sarcasm Detection via Graph Convolutional Network and Dynamic Network
Development of Autonomous Failure Maintenance System for Semiconductor Manufacturing
Adversarial Density Ratio Estimation for Change Point Detection
Semantic Topic-based Hybrid Learning Resource Recommendation
Incorporating Association Pattern and Operation Specification in ODMG's OQL
CourtsightTV: An Interactive Visualization Software for Labeling Key Basketball Moments
Leveraging Graph Neural Networks for User Profiling: Recent Advances and Open Challenges
FREM: fast and robust EM clustering for large data sets
A taxonomy of local search: semi-supervised query classification driven by information needs
Proactive Streaming Analytics at Scale: A Journey from the State-of-the-art to a Production Platform
Online learning from streaming data
Knowledge discovery in patent databases
Towards selective user specific query expansion
ST-ECP: A Novel Spatial-Temporal Framework for Energy Consumption Prediction of Vehicle Trajectory
Pattern Adaptive Specialist Network for Learning Trading Patterns in Stock Market
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning
CE2: towards a large scale hybrid search engine with integrated ranking support
A geographic study of tie strength in social media
Classifying sentiment in microblogs: is brevity an advantage?
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees
A robot ontology for urban search and rescue
Calibrate Graph Neural Networks under Out-of-Distribution Nodes via Deep Q-learning
Seeking provenance of information using social media
Revisiting Cold-Start Problem in CTR Prediction: Augmenting Embedding via GAN
EventPuzzle: A Benchmark for Multi-Perspective Event Prediction Based on Event Arguments
Designing an ensemble classifier over subspace classifiers using iterative convergence routine
Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression
Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach
Streaming Graph Neural Networks via Continual Learning
Image retrieval at memory's edge: known image search based on user-drawn sketches
Boosting KNN text classification accuracy by using supervised term weighting schemes
RAProp: ranking tweets by exploiting the tweet/user/web ecosystem and inter-tweet agreement
Automatic Error Correction Using the Wikipedia Page Revision History
S2Cap: A Benchmark and a Baseline for Singing Style Captioning
How to Leverage Personal Textual Knowledge for Personalized Conversational Information Retrieval
Indexing Values of Time Sequences
Demonstrating ProApproX 2.0: a predictive query engine for probabilistic XML
A Generative Model For Time Series Discretization Based On Multiple Normal Distributions
Capturing community search expertise for personalized web search using snippet-indexes
CauseNet: Towards a Causality Graph Extracted from the Web
Domain driven data mining to improve promotional campaign ROI and select marketing channels
Structure Learning via Parameter Learning
Searching microblogs: coping with sparsity and document quality
Content-Agnostic Moderation for Stance-Neutral Recommendations
Temporal models for microblogs
Text-Hypertext Mutual Conversion and Hypertext Interchange through SGML
Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting
DeepGroup: Group Recommendation with Implicit Feedback
Exploring Iterative Refinement for Nested Named Entity Recognition with IoU-aware Denoising Diffusion
An automatic blocking mechanism for large-scale de-duplication tasks
Efficient and Effective Query Expansion for Web Search
STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction
Learning to rank graphs for online similar graph search
WebCQ: Detecting and Delivering Information Changes on the Web
Accurate language model estimation with document expansion
Query-biased learning to rank for real-time twitter search
An overview of electronic health information management systems quality assessment
Computer Image Retrieval by Features: Selecting the Best Facial Features for Suspect Identification Systems
From names to entities using thematic context distance
Learning to Pack: A Data-Driven Tree Search Algorithm for Large-Scale 3D Bin Packing Problem
Calibration: A Simple Way to Improve Click Models
Language Models for Financial News Recommendation
Improving Ad Click Prediction by Considering Non-displayed Events
Optimizing Upstream Representations for Out-of-Domain Detection with Supervised Contrastive Learning
Building a semantic representation for personal information
Continual Learning for Generative Retrieval over Dynamic Corpora
An Iterative Approach for Rules and Data Allocation in Distributed Deductive Database Systems
DML: Dynamic Multi-Granularity Learning for BERT-Based Document Reranking
SGPT: Few-Shot Prompt Tuning for Signed Graphs
Adaptive Bidirectional State Space Model for High-frequency Portfolio Management
Efficient query rewrite for structured web queries
AutoCoRe-FL: Automatic Concept-based Rule Reasoning in Federated Learning
Concurrency control and recovery for multiversion database structures
Linking Ordered and Orderless Modeling for Sequential Recommendation
Collaborative Social Group Influence for Event Recommendation
Geographical Address Models in the Indian e-Commerce
Enhanced Network Embeddings via Exploiting Edge Labels
An Incremental Approach to Schema Integration by Refining Extensional Relationships
Dexter: an open source framework for entity linking
Paraphrastic Fusion for Abstractive Multi-Sentence Compression Generation
Learning to Build User-tag Profile in Recommendation System
RSS watchdog: an instant event monitor on real online news streams
SplitGNN: Spectral Graph Neural Network for Fraud Detection against Heterophily
Learning to predict the cost-per-click for your ad words
IDAE: Imputation-boosted Denoising Autoencoder for Collaborative Filtering
Learning Representations of Inactive Users: A Cross Domain Approach with Graph Neural Networks
Categorizing blogger's interests based on short snippets of blog posts
Walking in the crowd: anonymizing trajectory data for pattern analysis
Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising
Fouilla: Navigating DBpedia by Topic
Triple-Node Hierarchies for Object-Oriented Database Indexing
Multi-view Interaction Learning for Few-Shot Relation Classification
ExplorAct: Context-Aware Next Action Recommendations for Interactive Data Exploration
A Hierarchical Approach to the Automatic Categorization of Medical Documents
Maximum normalized spacing for efficient visual clustering
A Practitioners' View of Techniques Used in Data Warehousing for Sifting Through Data to Provide Information
An Adversarial Approach to Improve Long-Tail Performance in Neural Collaborative Filtering
Topic Models Regularization and Initialization for Regression Problems
Manipulation among the arbiters of collective intelligence: how wikipedia administrators mold public opinion
R-Apriori: An Efficient Apriori based Algorithm on Spark
On Analyzing the Household Energy Consumption Detection for Citizen Behavioral Analysis Carbon Footprint Awareness by Deep Residual Networks
Interval query indexing for efficient stream processing
A unified model for metasearch, pooling, and system evaluation
Dynamic and Hierarchical Spatial Access Method using Integer Searching
Efficiently encoding term co-occurrences in inverted indexes
On Modeling and Controlling Intelligent Systems
RW.KNN: a proposed random walk KNN algorithm for multi-label classification
An Unified Search and Recommendation Foundation Model for Cold-Start Scenario
Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning
Pattern Match Query in a Large Uncertain Graph
Parallel linkage
Semantic Compositionality in Tree Kernels
RadialFocus: Geometric Graph Transformers via Distance-Modulated Attention
The Yahoo!: cloud datastore load balancer
Learning An End-to-End Structure for Retrieval in Large-Scale Recommendations
Explore Epistemic Uncertainty in Domain Adaptive Semantic Segmentation
SyLeR: A Framework for Explicit Syllogistic Legal Reasoning in Large Language Models
Non-stationary bayesian networks based on perfect simulation
Exploring the Upper Limits of Text-Based Collaborative Filtering Using Large Language Models: Discoveries and Insights
The liberal media and right-wing conspiracies: using cocitation information to estimate political orientation in web documents
10 Bits of Surprise: Detecting Malicious Users with Minimum Information
A Retrievability Analysis: Exploring the Relationship Between Retrieval Bias and Retrieval Performance
Evaluating Fairness in Argument Retrieval
On Rich Clubs of Path-Based Centralities in Networks
Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics
Forecasting Ad-Impressions on Online Retail Websites using Non-homogeneous Hawkes Processes
An Extreme Semi-supervised Framework Based on Transformer for Network Intrusion Detection
What to do when one size does not fit all?
Improving Microblog Retrieval with Feedback Entity Model
AnchorMF: towards effective event context identification
Performance Evaluation of MAX - the Maintenance Administrator Expert System
Graph Few-shot Learning with Attribute Matching
I-Regular Expression: Regular Expression with Continuous Interval Constraints
An architecture and two new research problems in ARCS databases
Self-Supervised Learning on Users' Spontaneous Behaviors for Multi-Scenario Ranking in E-commerce
BIP! Finder: Facilitating Scientific Literature Search by Exploiting Impact-Based Ranking
Enriching Ontology with Temporal Commonsense for Low-Resource Audio Tagging
Node2Grids: A Cost-Efficient Uncoupled Training Framework for Large-Scale Graph Learning
DeExcelerator: a framework for extracting relational data from partially structured documents
TOMATO: A Topic-Wise Multi-Task Sparsity Model
FairRankTune: A Python Toolkit for Fair Ranking Tasks
A method of workload compression basing on characteristics for index selection
Towards non-directional Xpath evaluation in a RDBMS
Attention Based Dynamic Graph Learning Framework for Asset Pricing
The quality of the XML web
TEQUILA: Temporal Question Answering over Knowledge Bases
Deep Semantic Hashing with Multi-Adversarial Training
GStreamMiner: A GPU-accelerated Data Stream Mining Framework
Denoising Clinical Notes for Medical Literature Retrieval with Convolutional Neural Model
Mining the Main Health Trend of the General Public based on Opinion Mining of Korean Blogsphere
Constructing classification features using minimal predictive patterns
On subspace clustering with density consciousness
On the reliability and intuitiveness of aggregated search metrics
XClust: clustering XML schemas for effective integration
DTCDR: A Framework for Dual-Target Cross-Domain Recommendation
Personalized Multi Modal Alignment Encoding for CTR-Recommendation in WeChat
Multi-Source Pointer Network for Product Title Summarization
International Workshop on Edge-Cloud Intelligence (ECI@CIKM2023)
LogMine: Fast Pattern Recognition for Log Analytics
Transaction-oriented Work-flow Concepts in Inter-Organizational Environments
A Large-Scale Dataset of Interactions Between Weibo Users and Platform-Empowered LLM Agent
Interpretable and reconfigurable clustering of document datasets by deriving word-based rules
Proceedings of the first edition workshop on Politics, elections and data, PLEAD@CIKM 2012, Maui, HI, USA, November 2, 2012
Incorporating user preferences into click models
Efficient retrieval of recommendations in a matrix factorization framework
Knowledge Management System with NLP-Assisted Annotations: A Brief Survey and Outlook
Towards Filling the Gap in Conversational Search: From Passage Retrieval to Conversational Response Generation
scACT: Accurate Cross-modality Translation via Cycle-consistent Training from Unpaired Single-cell Data
A Spatio-temporal Recommender System for On-demand Cinemas
Error Propagation in Distributed Databases
Discovery of Temporal Graph Functional Dependencies
DPGN: Denoising Periodic Graph Network for Life Service Recommendation
KnowFE : A Hybrid AI System for Explainable Feature Engineering using Knowledge-Guided Reinforcement Learning
Data Oversampling with Structure Preserving Variational Learning
News Recommendation and Filter Bubble
A signal-to-noise approach to score normalization
Quantitative Evaluation of a Transaction Facility for a Knowledge Base Management System
Discovering leaders from community actions
HDRF: Stream-Based Partitioning for Power-Law Graphs
EHR-Based Mobile and Web Platform for Chronic Disease Risk Prediction Using Large Language Multimodal Models
Fair and Robust Classification Under Sample Selection Bias
Making Topic Models more Usable
Lightweight web-based fact repositories for textual question answering
MemoNet: Memorizing All Cross Features' Representations Efficiently via Multi-Hash Codebook Network for CTR Prediction
Proceedings of the 2nd International Workshop on Ontologies and Information Systems for the Semantic Web, ONISW 2008, Napa Valley, California, USA, October 30, 2008
A framework for semantic link discovery over relational data
The impact of author ranking in a library catalogue
Frontiers in Graph Machine Learning for the Large Model Era
A document-centric approach to static index pruning in text retrieval systems
Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach
Compression schemes for differential categorical stream clustering
RODAIN: a real-time object-oriented database system for telecommunications
Generalized contextualization method for XML information retrieval
Query Expansion Using Domain Adapted, Weighted Thesaurus in an Extended Boolean Model
Detect Rumors Using Time Series of Social Context Information on Microblogging Websites
Visualization Oriented Spatiotemporal Urban Data Management and Retrieval
Parse-LLM: A Prior-Free LLM Parser for Unknown System Logs
A Re-evaluation of Deep Learning Methods for Attributed Graph Clustering
Who Will You "@"?
Inferring Traffic Incident Start Time with Loop Sensor Data
Supporting Exploratory Search Through Interaction Modeling
Transfer active learning
Fraud Transaction Recognition: A Money Flow Network Approach
Towards Improving Accuracy and Computation Cost Optimization of Recommendation Systems
Modeling behavioral factors ininteractive information retrieval
Dynamic Retrieval of Remote Digital Objects
Workshop on Enterprise Knowledge Graphs using Large Language Models
Tone Analyzer for Online Customer Service: An Unsupervised Model with Interfered Training
ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation
Solving Linear SVMs with Multiple 1D Projections
Dynamic effects of ad impressions on commercial actions in display advertising
Think it Image by Image: Multi-Image Moral Reasoning of Large Vision-Language Models
A Large-Scale Web Search Dataset for Federated Online Learning to Rank
SEF-UQR: Scalable and Efficient Privacy-Preserving Federated Updating QR Factorization
DEMO: Disentangled Molecular Graph Generation via an Invertible Flow Model
Elicitations Queries to the Excite Web Search Engine
URL tree: efficient unsupervised content extraction from streams of web documents
A hybrid approach to finding negated and uncertain expressions in biomedical documents
Plotly.plus, an Improved Dataset for Visualization Recommendation
Prod2Vec-Var: A Session Based Recommendation System with Enhanced Diversity
Meta-Path-Based Ranking with Pseudo Relevance Feedback on Heterogeneous Graph for Citation Recommendation
MARS: Matching Attribute-aware Representations for Text-based Sequential Recommendation
Term associations in query expansion: a structural linguistic perspective
Webpage Depth-level Dwell Time Prediction
gCBO: A Cost-based Optimizer for Graph Databases
Attributed Network Embedding based on Mutual Information Estimation
TweetMogaz v2: Identifying News Stories in Social Media
DUBMOD14 - International Workshop on Data-driven User Behavioral Modeling and Mining from Social Media
Using an Online Spatial Analytics Workbench for Understanding Changing Housing Markets across Australian Cities
Handling frequent updates of moving objects
Scheduling and Mapping for Parallel Execution of Extended SQL Queries
Using historical click data to increase interleaving sensitivity
Conceptualize and Infer User Needs in E-commerce
Marco Polo: a system for brand-based shopping and exploration
Unsupervised Categorical Representation Learning for Package Arrival Time Prediction
URL normalization for de-duplication of web pages
Annotating scientific papers for mathematical formula search
Efficient and Robust Feature Extraction and Pattern Matching of Time Series by a Lattice Structure
ComprehEnRank: estimating comprehension in classroom by absorbing random walks on a cognitive graph
Beyond data: from user information to business value through personalized recommendations and consumer science
MGAE: Marginalized Graph Autoencoder for Graph Clustering
Learning similarity measures based on random walks
self awareness in the mobility open architecture simulation and tools framework
Active Content-Based Crowdsourcing Task Selection
Revisiting the Divergence Minimization Feedback Model
Realistic Synthetic Signed Network Generation and Analysis
Learning and Mining with Noisy Labels
A Min-Max Optimization Framework For Online Graph Classification
Evaluation of methods for relative comparison of retrieval systems based on clickthroughs
Component Detection in Directed Networks
On the Predictability of Non-CGM Diabetes Data for Personalized Recommendation
Ontology-aware partitioning for knowledge graph identification
On selection of objective functions in multi-objective community detection
Explanations for Data Repair Through Shapley Values
Graph Neural Networks Pretraining Through Inherent Supervision for Molecular Property Prediction
An effective category classification method based on a language model for question category recommendation on a cQA service
AutoML: From Methodology to Application
Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation
End-to-end Modularity-based Community Co-partition in Bipartite Networks
Interactive pattern mining on hidden data: a sampling-based solution
Cross-language linking of news stories on the web using interlingual topic modelling
LogSig: generating system events from raw textual logs
ECRT: Flexible Sequence Enhancement Framework for Cross-Domain Information Reuse in Recommendation
A Momentum Loss Reweighting Method for Improving Recall
Query expansion using probabilistic local feedback with application to multimedia retrieval
Beast: Scalable Exploratory Analytics on Spatio-temporal Data
Meta-Prompt Tuning Vision-Language Model for Multi-Label Few-Shot Image Recognition
DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation
Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots
The early-adopter graph and its application to web-page recommendation
Trustworthy Knowledge Discovery and Data Mining (TrustKDD)
Automatic feature selection in the markov random field model for information retrieval
Revisiting Optimal Window Aggregation in Data Streams: The Prefix-Sum Approach
Scalable ranking for preference queries
ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems
CQC: classifying questions in CQA websites
The effect of negation on sentiment analysis and retrieval effectiveness
The Role of Query Sessions in Interpreting Compound Noun Phrases
AI Planning for Data Exploration
Exploiting Homeostatic Synaptic Modulation in Spiking Neural Networks for Semi-Supervised Graph Learning
Extending query translation to cross-language query expansion with markov chain models
A multi-system analysis of document and term selection for blind feedback
Inverted indexes vs. bitmap indexes in decision support systems
A constraint-based probabilistic framework for name disambiguation
Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations
TSUPY: Dynamic Climate Network Analysis Library
Binary Classification with Positive Labeling Sources
Improving Graph-based Document-Level Relation Extraction Model with Novel Graph Structure
From Policy Comparison to Process Consistency and Beyond
Efficient data access to multi-channel broadcast programs
P2Prec: a social-based P2P recommendation system
Large-scale array analytics: taming the data tsunami
Query, Decompose, Compress: Structured Query Expansion for Efficient Multi-Hop Retrieval
UniRec: A Dual Enhancement of Uniformity and Frequency in Sequential Recommendations
A scalable and effective full-text search in P2P networks
Federated Gradient Boosting for Financial Fraud Detection: An Empirical Study in the Banking Sector
Similarity cross-analysis of tag / co-tag spaces in social classification systems
MindReader: Recommendation over Knowledge Graph Entities with Explicit User Ratings
Focusing Search in Hierarchical Structures with Directory Sets
SaLa: Scenario-aware Label Graph Interaction for Multi-intent Spoken Language Understanding