yusuke1997/dblp-id-title huggingface dataset:
THEME: Enhancing Thematic Investing with Semantic Stock Representations and Temporal Dynamics
Task Relation Distillation and Prototypical Pseudo Label for Incremental Named Entity Recognition
A Deep Recurrent Collaborative Filtering Framework for Venue Recommendation
Exploring Document Collections with Topic Frames
Content-centric flow mining for influence analysis in social streams
Active Recommendation for Email Outreach Dynamics
estWin : adaptively monitoring the recent change of frequent itemsets over online data streams
Characterizing and Predicting Voice Query Reformulation
BioMAISx: A Corpus for Aspect-Based Sentiment Analysis of Media Representations of Agricultural Biotechnologies in Africa
Multiplex Graph Neural Networks for Multi-behavior Recommendation
PS-SA: An Efficient Self-Attention via Progressive Sampling for User Behavior Sequence Modeling
CityLight: A Neighborhood-inclusive Universal Model for Coordinated City-scale Traffic Signal Control
A tag-centric discriminative model for web objects classification
Efficient processing of probabilistic spatio-temporal range queries over moving objects
Topic Modeling for Multi-Aspect Listwise Comparisons
Findability: A Novel Measure of Information Accessibility
Tarski's Geometry and the Euclidean Plane in Mizar
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning
Intra-session Context-aware Feed Recommendation in Live Systems
Detecting Significant Differences Between Information Retrieval Systems via Generalized Linear Models
Says who?: automatic text-based content analysis of television news
A local search mechanism for peer-to-peer networks
LogBug: Generating Adversarial System Logs in Real Time
Protein structure alignment using geometrical features
How the Quantum-inspired Framework Supports Keyword Searches on Multi-model Databases
Grammatical Error Correction with Dependency Distance
Proceedings of the 1st ACM workshop on Patent Information Retrieval, PaIR 2008, Napa Valley, California, USA, October 30, 2008
Temporal and Topological Augmentation-based Cross-view Contrastive Learning Model for Temporal Link Prediction
FDCM: Towards Balanced and Generalizable Concept-based Models for Effective Medical Ranking
Keeping You in the Loop: Enabling Web-based Things Management in the Internet of Things
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning
Digital Libraries: Extending and Applying Library and Information Science and Technology
IoTBDH-2023: The 5th International Workshop on Internet of Things of Big Data for Healthcare
On the Generation of Aggregated Random Spatial Regions
Web-KR 2013: the 4th international workshop on web-scale knowledge representation, retrieval and reasoning
A Robust Backward Compatibility Metric for Model Retraining
Neural Relation Extraction on Wikipedia Tables for Augmenting Knowledge Graphs
KSGM: Keynode-driven Scalable Graph Matching
Exploration of monte-carlo based probabilistic query processing in uncertain graphs
Web search solved?: all result rankings the same?
Aggregation of Crowdsourced Ordinal Assessments and Integration with Learning to Rank: A Latent Trait Model
DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs
Detection of text quality flaws as a one-class classification problem
IUI: Intent-Enhanced User Interest Modeling for Click-Through Rate Prediction
A Study on the CBOW Model's Overfitting and Stability
Recommending Inferior Results: A General and Feature-Free Model for Spam Detection
Deep Journey Hierarchical Attention Networks for Conversion Predictions in Digital Marketing
PrivacyCheck v2: A Tool that Recaps Privacy Policies for You
Overview of the third international workshop on search and mining user-generated contents
PyG-SSL: A Graph Self-Supervised Learning Toolkit
FakeChain: Exposing Shallow Cues in Multi-Step Deepfake Detection
HCLeK: Hierarchical Compression of Legal Knowledge for Retrieval-Augmented Generation
Knowledge Representation as Linked Data: Tutorial
Proceedings of the 2nd ACM Workshop on Social Web Search and Mining, CIKM-SWSM 2009, Hong Kong, China, November 2, 2009
A nugget-based test collection construction paradigm
Measuring system performance and topic discernment using generalized adaptive-weight mean
gSCorr: modeling geo-social correlations for new check-ins on location-based social networks
Proceedings of the 3rd International CIKM Workshop on Search and Mining User-Generated Contents, SMUC 2011, Glasgow, United Kingdom, October 28, 2011
INFER: a relational query language without the complexity of SQL
RAG-based Unanswerable Question Detection in Clinical Text-to-SQL
Is It Enough Just Looking at the Title?: Leveraging Body Text To Enrich Title Words Towards Accurate News Recommendation
Inspiration or Preparation?: Explaining Creativity in Scientific Enterprise
Knowledge Enhanced Multi-Interest Network for the Generation of Recommendation Candidates
New trends for reading scientific documents
Lexicon-free and context-free drug names identification methods using hidden markov models and pointwise mutual information
An Actor-critic Reinforcement Learning Model for Optimal Bidding in Online Display Advertising
Proceedings of the 4th ACM Workshop on Online books, complementary social media and crowdsourcing, BooksOnline 2011, Glasgow, United Kingdom, October 24, 2011
Introduction to a new Farsi stemmer
DYANE: DYnamic Attributed Node rolEs Generative Model
Improving web page classification by label-propagation over click graphs
Legal Summarization for Multi-role Debate Dialogue via Controversy Focus Mining and Multi-task Learning
Practical Diversified Recommendations on YouTube with Determinantal Point Processes
Topic Modeling in Semantic Space with Keywords
Partial Relaxed Optimal Transport for Denoised Recommendation
FALCON: A Fast Drop-In Replacement of Citation KNN for Multiple Instance Learning
Index structures for efficiently searching natural language text
Merged aggregate nearest neighbor query processing in road networks
A Clustering-based Approach to Detect Probable Outcomes of Lawsuits
Personalizing Natural Language Understanding using Multi-armed Bandits and Implicit Feedback
Muse: Multi-query Event Trend Aggregation
Subspace maximum margin clustering
The Elusiveness of Detecting Political Bias in Language Models
Automatic Generation and Validation of Road Maps from GPS Trajectory Data Sets
Fast multi-task learning for query spelling correction
News Graph: An Enhanced Knowledge Graph for News Recommendation
Mining history with Le Monde
Membership Inference Attack Vulnerabilities of Record Linkage Models
Towards Conversational Search and Recommendation: System Ask, User Respond
Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks
ChemXSeer: a digital library and data repository for chemical kinetics
Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search
A graphical browser for XML schema documents
An Active and Deep Semantic Matching Framework for Query Rewrite in E-Commercial Search Engine
D 3 -TR: Data-driven Daily Delivery Task Rescheduling for Cost-effective Last-mile Delivery
A practical system of keyphrase extraction for web pages
Graph Exploration Matters: Improving both Individual-Level and System-Level Diversity in WeChat Feed Recommendation
Bootstrapping for hierarchical document classification
FeatureMiner: A Tool for Interactive Feature Selection
What's behind topic formation and development: a perspective of community core groups
Fast Distributed Correlation Discovery Over Streaming Time-Series Data
A distributed, semiotic-inductive, and human-oriented approach to web-scale knowledge retrieval
ROKAN: Toward Interpretable and Domain-Robust Memory Behavior Modeling
Optimizing semantic MEDLINE for translational science studies using semantic web technologies
RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models
VPALG: Paper-publication Prediction with Graph Neural Networks
StoryWriter: A Multi-Agent Framework for Long Story Generation
Entity disambiguation in anonymized graphs using graph kernels
Using Knowledge Concept Aggregation towards Accurate Cognitive Diagnosis
Effective Job-market Mobility Prediction with Attentive Heterogeneous Knowledge Learning and Synergy
Stochastic Coupon Probing in Social Networks
CrowdTiles: presenting crowd-based information for event-driven information needs
Bipartite Graph Partitioning and Data Clustering
Homophily-enhanced Structure Learning for Graph Clustering
Storyfinder: Personalized Knowledge Base Construction and Management by Browsing the Web
VoiceVisSystem: End-to-End Voice-driven Data Visualization Generation from Natural Language Questions
GReF: A Unified Generative Framework for Efficient Reranking via Ordered Multi-token Prediction
A system for knowledge management in bioinformatics
Exploiting tag and word correlations for improved webpage clustering
Modeling Price Elasticity for Occupancy Prediction in Hotel Dynamic Pricing
Smoothing document language model with local word graph
Transaction synchronization protocol using XML in client-server environment
Docking-Aware Attention: Dynamic Protein Representations through Molecular Context Integration
Conversational Interfaces for Search As Learning
Quantifying Uncertainty in Neural Networks through Residuals
Short text classification by detecting information path
HyPerInsight: Data Exploration Deep Inside HyPer
On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks
Search strategies for scientific collaboration networks
Protecting Your Children from Inappropriate Content in Mobile Apps: An Automatic Maturity Rating Framework
Feature Driven and Point Process Approaches for Popularity Prediction
The Effects of Vertical Rank and Border on Aggregated Search Coherence and Search Behavior
Video Keyframe Extraction and Filtering: A Keyframe is not a Keyframe to Everyone
A Model-Free Approach to Infer the Diffusion Network from Event Cascade
Estimating document focus time
Subclass-Aware Inclusive Classifier via Repulsive Hidden Strata
Window join approximation over data streams with importance semantics
AppAgent-Pro: A Proactive GUI Agent System for Multidomain Information Integration and User Assistance
PolariCQ: polarity classification of political quotations
BI-GCN: Bilateral Interactive Graph Convolutional Network for Recommendation
Real-time Short Video Recommendation on Mobile Devices
Combining machine learning and human judgment in author disambiguation
Efficient logging for enterprise workloads on column-oriented in-memory databases
A novel statistical chinese language model and its application in pinyin-to-character conversion
FastInput: Improving Input Efficiency on Mobile Devices
Detecting type 2 diabetes causal single nucleotide polymorphism combinations from a genome-wide association study dataset with optimal filtration
Analysis of communities in social media
Mining soft-matching association rules
Personalized recommendations on books for K-12 readers
On the Mining of Time Series Data Counterfactual Explanations using Barycenters
Facets of Disparate Impact: Evaluating Legally Consistent Bias in Machine Learning
Bid Shading in The Brave New World of First-Price Auctions
DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning
RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation
Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting
Discovery of Prostate Specific Antigen Pattern to Predict Castration Resistant Prostate Cancer of Androgen Deprivation Therapy
Learning Entity Type Embeddings for Knowledge Graph Completion
TinyRL: Towards Reinforcement Learning on Tiny Embedded Devices
Predicting user activity level in social networks
Entity Oriented Task Extraction from Query Logs
Retrieving Video Data Via Motion Tracks of Content Symbols
ORCAS: Obfuscation-Resilient Binary Code Similarity Analysis using Dominance Enhanced Semantic Graph
Query association for effective retrieval
A model based reasoning approach to network monitoring
Exploring Graph-Based Neural Networks for Automatic Brain Tumor Segmentation
Enhanced Customer Churn Prediction using Social Network Analysis
ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning
Learnable Orthogonal Decomposition for Non-Regressive Prediction for PDE
Understanding retweeting behaviors in social networks
Continual Computation Policies for Utility-Directed Prefetching
DREAM: A Dynamic Relation-Aware Model for Social Recommendation
Cross-Scenario Maneuver Decision with Adaptive Perception for Autonomous Driving
Generically extending anonymization algorithms to deal with successive queries
Summarization as Feature Selection for Text Categorization
A Geometric Perspective for High-Dimensional Multiplex Graphs
Research issues in real-time DBMS in the context of electronic commerce
Debiased Balanced Interleaving at Amazon Search
Uncovering the Persuasive Fingerprint of LLMs in Jailbreaking Attacks
Alternate views of graph clusterings based on thresholds: a case study for a student forum
Correlating medical-dependent query features with image retrieval models using association rules
OLAP and Statistical Databases: Similarities and Differences
librec-auto: A Tool for Recommender Systems Experimentation
Ensemble of Anchor Adapters for Transfer Learning
Thomson Reuters and the FEIII Challenge
Machine Reading Comprehension: Matching and Orders
ContributionSum: Generating Disentangled Contributions for Scientific Papers
Efficient processing of complex similarity queries in RDBMS through query rewriting
Identifying opinion leaders in the blogosphere
DEESSE: entity-Driven Exploratory and sErendipitous Search SystEm
Smart City Analytics: Ensemble-Learned Prediction of Citizen Home Care
Efficient multi-way text categorization via generalized discriminant analysis
Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank
EXPedite: a system for encoded XML processing
Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon
MRSSA: an iterative algorithm for similarity spreading over interrelated objects
Long-tail Hashtag Recommendation for Micro-videos with Graph Convolutional Network
pEDM: online-forecasting for smart energy analytics
The representative's problem: how legislators use communication to secure constituent support
Distributed Boosting: An Enhancing Method on Dataset Distillation
Manual Annotation of Semi-Structured Documents for Entity-Linking
Submodular Optimization: Variants, Theory and Applications
HypMix: Hyperbolic Representation Learning for Graphs with Mixed Hierarchical and Non-hierarchical Structures
GCLS 2 : Towards Efficient Community Detection Using Graph Contrastive Learning with Structure Semantics
SemDia: Semantic Rule-Based Equipment Diagnostics Tool
DS-Cuber: an integrated OLAP environment for data streams
Scalable Contrast Pattern Mining over Data Streams
Automatic Contextual Storytelling in a Natural Language Corpus
Taxonomy-driven computation of product recommendations
Dynamic Resource Management In a Massively Parallel Stream Processing Engine
STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging Approach
Terminology mining in social media
A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation
TripJudge: A Relevance Judgement Test Collection for TripClick Health Retrieval
Through-the-looking glass: utilizing rich post-search trail statistics for web search
Indexing Techniques for Wireless Data Broadcast Under Data Clustering and Scheduling
Simple BM25 extension to multiple weighted fields
Robust record linkage blocking using suffix arrays
Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message Propagation
Use of semantics in real life applications
An integrated discriminative probabilistic approach to information extraction
Incremental query evaluation for support vector machines
Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach
SVIPTR: Fast and Efficient Scene Text Recognition with Vision Permutable Extractor
CCAgent: Coordinating Collaborative Data Scaling for Operating System Agents via Web3
OLAP-based query recommendation
Improved Personalized Headline Generation via Denoising Fake Interests from Implicit Feedback
The integrated eBook: the convergence of ebook, companion web site, and elearning
Adapting Visual Question Answering Models for Enhancing Multimodal Community Q&A Platforms
Estimating the relative utility of networks for predicting user activities
Length Adaptive Recurrent Model for Text Classification
Knowledge Graph Completion by Context-Aware Convolutional Learning with Multi-Hop Neighborhoods
Automatic creation of a technical trend map from research papers and patents
Discovering and managing quantitative association rules
Batch Mode Active Learning for Semantic Segmentation Based on Multi-Clue Sample Selection
Visual structures for image browsing
MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text
Efficient evaluation of high-selective xml twig patterns with parent child edges in tree-unaware rdbms
Ranking User Attributes for Fast Candidate Selection in Recommendation Systems
Efficient Top-k Query Answering through its Top-N Rewritings Using Views
From Query-By-Keyword to Query-By-Example: LinkedIn Talent Search Approach
Multi-Sentence Argument Linking via An Event-Aware Hierarchical Encoder
Additional Workshops Co-located with CIKM 2017
Passage relevance models for genomics search
Learning to rank with a novel kernel perceptron method
Delve into the Performance Degradation of Differentiable Architecture Search
BiCMTS: Bidirectional Coupled Multivariate Learning of Irregular Time Series with Missing Values
PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python
LLM-Driven Attributes Extraction in eCommerce
Edge-Variational Graph Neural Networks: Harnessing Weak Ties for Enhanced Default Risk Prediction
System Initiative Prediction for Multi-turn Conversational Information Seeking
TrUMAn: Trope Understanding in Movies and Animations
CrossPred: A Cross-City Mobility Prediction Framework for Long-Distance Travelers via POI Feature Matching
A query language for analyzing networks
Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction
Short Text Similarity with Word Embeddings
Assisting web search users by destination reachability
Effective, design-independent XML keyword search
Generalized Bias-Variance Evaluation of TREC Participated Systems
The relation between author mood and affect to sentiment in text and text genre
Inferring document relevance from incomplete information
Tracing clusters in evolving graphs with node attributes
Proceedings of the 2012 international workshop on Web-scale knowledge representation, retrieval and reasoning, Web-KR@CIKM 2012, Maui, HI, USA, October 29, 2012
Hybrid Deep Sequential Modeling for Social Text-Driven Stock Prediction
Ontology-Mediated Queries over Probabilistic Data via Probabilistic Logic Programming
The present and future of google books
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Scaling Factorization Machines with Parameter Server
The use of categorization information in language models for question retrieval
CS-Agent: LLM-based Community Search via Dual-agent Collaboration
Hierarchical Conversational Preference Elicitation with Bandit Feedback
A term dependency-based approach for query terms ranking
TODMIS: mining communities from trajectories
An Extensible Knowledge Base Management System for Supporting Rule-based Interoperability among Heterogeneous Systems
Identification of Microblogs Prominent Users during Events by Learning Temporal Sequences of Features
PIKM 2013: the 6th ACM workshop for ph.d. students in information and knowledge management
Imbalanced Sentiment Classification with Multi-Task Learning
CurEx: A System for Extracting, Curating, and Exploring Domain-Specific Knowledge Graphs from Text
Personalized search by tag-based user profile and resource profile in collaborative tagging systems
Neuron Campaign for Initialization Guided by Information Bottleneck Theory
Stratified Expert Cloning for Retention-Aware Recommendation at Scale
FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation
Programming with personalized pagerank: a locally groundable first-order probabilistic logic
Uncovering the Spatio-Temporal Dynamics of Memes in the Presence of Incomplete Information
ST-GAT: A Spatio-Temporal Graph Attention Network for Accurate Traffic Speed Prediction
Using word similarity to eradicate junk emails
Achieving both high precision and high recall in near-duplicate detection
MIRAGE: A Metrics lIbrary for Rating hAllucinations in Generated tExt
Resource monitoring in industrial production with knowledge-based models and rules
Personalized Interest Sustainability Modeling for Sequential POI Recommendation
A Study of Query Length Heuristics in Information Retrieval
Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank
A novel email abstraction scheme for spam detection
GraphERT- Transformers-based Temporal Dynamic Graph Embedding
On the Use of Large Language Models for Table Tasks
Intent Disambiguation for Task-oriented Dialogue Systems
Towards Proactive Information Retrieval in Noisy Text with Wikipedia Concepts
Cross-argument inference for implicit discourse relation recognition
DeText: A Deep Text Ranking Framework with BERT
Topic-based document segmentation with probabilistic latent semantic analysis
Towards faster and better retrieval models for question search
Infomod: A Knowledge-Based Moderator for Electronic Mail Help Lists
Product Insights: Analyzing Product Intents in Web Search
Bayesian Non-Exhaustive Classification A Case Study: Online Name Disambiguation using Temporal Record Streams
WikiPop: personalized event detection system based on Wikipedia page view statistics
Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion
Why Researchers are Managers
Ontology-driven peer profiling in peer-to-peer enabled semantic web
Get Global Guarantees: On the Probabilistic Nature of Perturbation Robustness
Span-level Emotion Cause Analysis with Neural Sequence Tagging
Introducing Semantics in Conceptual Schema Reuse
Identification of Coexpressed Gene Modules across Multiple Brain Diseases by a Biclustering Analysis on Integrated Gene Expression Data
UWKGM: A Modular Platform for Knowledge Graph Management
Structural relevance: a common basis for the evaluation of structured document retrieval
A SQL database system for solving constraints
Active Hazard Observation via Human in the Loop Social Media Analytics System
Task-Oriented World Wide Web Retrieval by Document Type Classification
On exploiting content and citations together to compute similarity of scientific papers
LoOP: local outlier probabilities
Effective and efficient?: bilingual sentiment lexicon extraction using collocation alignment
Location selection for utility maximization with capacity constraints
AliMeKG: Domain Knowledge Graph Construction and Application in E-commerce
Improving Low-Rank Matrix Completion with Self-Expressiveness
Trustworthy AI Psychotherapy: Multi-Agent LLM Workflow for Counseling and Explainable Mental Disorder Diagnosis
Enabling Smart Transit with Real-time Trip Planning
Cloud computing for environment-friendly data centers
Professionalism-Aware Pre-Finetuning for Profitability Ranking
Seventh Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'14): CIKM 2014 Workshop
Question identification on twitter
Real Time User Context Modeling for Information Retrieval Agents
Ensembles in adversarial classification for spam
A Robust and High-Efficiency Active Clustering Framework with Multi-User Collaboration
Graph-based collective classification for tweets
Stochastic simulation of time-biased gain
Evaluation of top-k queries in peer-to-peer networks using threshold algorithms