yusuke1997/dblp-id-title huggingface dataset:
Static score bucketing in inverted indexes
An Adaptive Embedding Framework for Heterogeneous Information Networks
Searching consumer image collections using web-based concept expansion
UNDO: Effective and Accurate Unlearning Method for Deep Neural Networks
Self-organizing peer-to-peer networks for collaborative document tracking
Some Useful Things to Know When Combining IR and NLP: the Easy, the Hard and the Ugly
Top-k Tree Similarity Join
Evaluation of hierarchical clustering algorithms for document datasets
DPCAG: A Community Affiliation Graph Generation Model for Preserving Group Relationships
Inferring query models by computing information flow
Examining the information retrieval process from an inductive perspective
myCADI: my Contextual Anomaly Detection using Isolation
Ontologies for semantically interoperable systems
Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity
Ranking Clarification Questions via Natural Language Inference
Information extraction as a filtering task
A Convolutional Click Prediction Model
Urban In-context Learning: A New Paradigm for Urban Indicator Prediction
The face of quality in crowdsourcing relevance labels: demographics, personality and labeling accuracy
A Different VIM: Visualizing Incremental Machine Learning
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016
AutoForecast: Automatic Time-Series Forecasting Model Selection
Annotations: dynamic semantics in stream processing
Exact Time and Near-Realtime Visualization for the Experimentalist
Image similarity search with compact data structures
Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models
Transformation-Based Spatial Join
Learning Hidden Features for Contextual Bandits
Momentum Contrastive Bidirectional Encoding with Self-Distillation for Sequential Recommendation
What a Nasty Day: Exploring Mood-Weather Relationship from Twitter
Shard ranking and cutoff estimation for topically partitioned collections
Top-k Reliable Edge Colors in Uncertain Graphs
Identification of gene function using prediction by partial matching (PPM) language models
SmaLLEXT: 1st Workshop on Small and Efficient Large Language Models for Knowledge Extraction
MetKB: enriching RDF knowledge bases with web entity-attribute tables
MTopS: scalable processing of continuous top-k multi-query workloads
Social Media for Opioid Addiction Epidemiology: Automatic Detection of Opioid Addicts from Twitter and Case Studies
More Women, Same Stereotypes: Unpacking the Gender Bias Paradox in Large Language Models
Dynamic Representation Learning for Large-Scale Attributed Networks
Collaborative filtering using random neighbours in peer-to-peer networks
A Personalised Ranking Framework with Multiple Sampling Criteria for Venue Recommendation
Knowledge-based extraction of named entities
Exploiting sequential relationships for familial classification
Hierarchical Capsule Prediction Network for Marketing Campaigns Effect
Transferable Deep Clustering Model
Modeling browsing behavior for click analysis in sponsored search
SCMGR: Using Social Context and Multi-Granularity Relations for Unsupervised Social Summarization
Using Prerequisites to Extract Concept Maps fromTextbooks
Extreme Learning Machines For Efficient Speech Emotion Estimation In Julia
Hierarchical Meta-Learning with Hyper-Tasks for Few-Shot Learning
Evaluating the Impact of Anonymization on Large Interaction Network Datasets
Scaling Up Mass-Based Clustering
When web personalization misleads bucket testing
RS-Wrapper: random write optimization for solid state drive
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation
Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles
AIMLAI'20: Third Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence
Automated Contrastive Learning Strategy Search for Time Series
A Self-Organized File Cabinet
Can We Have Both Fish and Bear's Paw?: Improving Performance, Reliability, and both of them for Relation Extraction under Label Shift
On the role of classification in patent invalidity searches
Adding numbers to text classification
PROSPECT: a system for screening candidates for recruitment
FollowGPT: A Framework of Follow-up Question Generation for Large Language Models via Conversation Log Mining
Large-scale deep learning at Baidu
Content-Based Collaborative Generation for Recommender Systems
Maps Ranking Optimization in Airbnb
Development and Evaluation of an Application in a Deductive Environment
How People Use the Web in Large Indoor Spaces
Profiling Entity Matching Benchmark Tasks
A metric cache for similarity search
Enhancing Contrastive Link Prediction With Edge Balancing Augmentation
Extraction and analysis of the structure of labels in biomedical ontologies
Learning to Propagate Rare Labels
Scalable density-based subspace clustering
Alternative assessor disagreement and retrieval depth
CS-MLGCN: Multiplex Graph Convolutional Networks for Community Search in Multiplex Networks
Expertise identification using email communications
Integrating and querying web databases and documents
Modeling information diffusion over social networks for temporal dynamic prediction
Comparative Analysis of Open Source and Commercial Embedding Models for Question Answering
Extracting Attentive Social Temporal Excitation for Sequential Recommendation
PolyHJ: A Polymorphic Main-Memory Hash Join Paradigm for Multi-Core Machines
Mining the Web for Answers to Natural Language Questions
Influence propagation in adversarial setting: how to defeat competition with least amount of investment
Exploiting redundancy in sensor networks for energy efficient processing of spatiotemporal region queries
Object ranking
PatentDom: Analyzing Patent Relationships on Multi-View Patent Graphs
Efficient Runtime Generation of Association Rules
Identifying Top-k Consistent News-Casters on Twitter
METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams
Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing
An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks
Generating Stereotypes Automatically For Complex Categorical Features
Learning word sense disambiguation in biomedical text with difference between training and test distributions
Neural Additive Tensor Decomposition for Sparse Tensors
Core Decomposition and Densest Subgraph in Multilayer Networks
Minimal Edit-Based Diffs for Large Trees
Learning Bayesian Classification Rules through Genetic Algorithms
OSQR: overlapping clustering of query results
Time-aware Multi-Viewpoint Summarization of Multilingual Social Text Streams
Is formalizing events necessary for full exploitation
Clustering and Singular Value Decomposition for Approximate Indexing in High Dimensional Spaces
Beyond clicks: query reformulation as a predictor of search satisfaction
The essence of knowledge (bases) through entity rankings
Leveraging Post-Click User Behaviors for Calibrated Conversion Rate Prediction Under Delayed Feedback in Online Advertising
CauSeR: Causal Session-based Recommendations for Handling Popularity Bias
The first workshop on user engagement optimization
LatentVis: Investigating and Comparing Variational Auto-Encoders via Their Latent Space
Error recovery in human-computer interaction: a preliminary study in a database learning environment
Query Understanding via Intent Description Generation
Score region algebra: building a transparent XML-R database
An Experimental Comparison of Iterative MapReduce Frameworks
Scalable complex pattern search in sequential data
Classifying trending topics: a typology of conversation triggers on Twitter
Towards Fair Workload Assessment via Homogeneous Order Grouping in Last-mile Delivery
A framework for refining similarity queries using learning techniques
Rethinking Client-oriented Federated Graph Learning
AutoHERI: Automated Hierarchical Representation Integration for Post-Click Conversion Rate Estimation
CHASE: Commonsense-Enriched Advertising on Search Engine with Explicit Knowledge
Labeling by landscaping: classifying tokens in context by pruning and decorating trees
Generalization Bound for Estimating Causal Effects from Observational Network Data
MultiSentiNet: A Deep Semantic Network for Multimodal Sentiment Analysis
Graph Topic Scan Statistic for Spatial Event Detection
A new framework to automate constrained microaggregation
Regularized and Retrofitted models for Learning Sentence Representation with Context
MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data
Signed Bipartite Graph Neural Networks
Worker types and personality traits in crowdsourcing relevance labels
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation
GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks
50 Ways to Bake a Cookie: Mapping the Landscape of Procedural Texts
DO: An Efficient Deep Reinforcement Learning Approach for Optimal Route with Collective Spatial Keywords
Efficient Differencing of System-level Provenance Graphs
Video-level Multi-model Fusion for Action Recognition
Mitigating Knowledge Degradation Caused by Knowledge Editing on Identical Subjects through Two-Step Editing
Wikipedia-based semantic query enrichment
Toward Data-Driven Education: CIKM-2016 Keynote
MentorGNN: Deriving Curriculum for Pre-Training GNNs
Analyzing Effect of Roles on Search Performance and Query Formulation in Collaborative Search
CTO: concept tree based semantic overlay for pure peer-to-peer information retrieval
Building XML statistics for the hidden web
Low-dimensional Alignment for Cross-Domain Recommendation
Haystack: Per-User Information Environments
Leveraging a Domain Ontology in (Neural) Learning from Heterogeneous Data
FindCite: automatically finding prior art patents
Learning to rank from Bayesian decision inference
Knowing a web page by the company it keeps
Third workshop on exploiting semantic annotations in information retrieval (ESAIR): CIKM 2010 workshop
RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems
CANA: Causal-enhanced Social Network Alignment
Sentiment Extraction by Leveraging Aspect-Opinion Association Structure
ELTRA: An Embedding Method based on Learning-to-Rank to Preserve Asymmetric Information in Directed Graphs
Towards Better Seach Query Classification with Distribution-Diverse Multi-Expert Knowledge Distillation in JD Ads Search
Privacy Aspects in Big Data Integration: Challenges and Opportunities
FARA: Future-aware Ranking Algorithm for Fairness Optimization
A Cost-based Method for Location-Aware Publish/Subscribe Services
Pseudo-anchor text extraction for searching vertical objects
Reinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation
An Extensible Classifier for Semi-Structured Documents
SoLSCSum: A Linked Sentence-Comment Dataset for Social Context Summarization
Interactive collaborative filtering
Ranking related entities: components and analyses
A method to predict social annotations
Quantum Deepflow: A Quantum-Integrated Forecasting Platform for Strategic Decisions in Raw Material Procurement
Modeling Multi-way Relations with Hypergraph Embedding
Dynamic query intent mining from a search log stream
Supervised Feature Selection by Preserving Class Correlation
Accelerating probabilistic frequent itemset mining: a model-based approach
A Co-training Approach for Noisy Time Series Learning
Utility-driven anonymization in data publishing
Entropy-based link analysis for mining web informative structures
CourIRL: Predicting Couriers' Behavior in Last-Mile Delivery Using Crossed-Attention Inverse Reinforcement Learning
Digesting News Reader Comments via Fine-Grained Associations with Event Facets and News Contents
An RSA-based time-bound hierarchical key assignment scheme for electronic article subscription
Efficient buffer management for piecewise linear representation of multiple data streams
Profiling Pedestrian Distribution and Anomaly Detection in a Dynamic Environment
Breast and prostate cancer expression similarity analysis by iterative SVM based ensemble gene selection
CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication
Query-Aware Sequential Recommendation
AliMe MKG: A Multi-modal Knowledge Graph for Live-streaming E-commerce
STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation
The online revolution: education for everyone
A Framework for Analyzing the Impact of Missing Data in Predictive Models
Extending Complex Ad-Hoc OLAP
Proceedings of the ACM First International Workshop on Understanding the City with Urban Informatics, UCUI 2015, Melbourne, Australia, October 19, 2015
Seeing Through the Blur: Unlocking Defocus Maps for Deepfake Detection
Rank synopses for efficient time travel on the web graph
Deep Graph Embedding for Ranking Optimization in E-commerce
Learning to selectively rank patients' medical history
Sentiment Commonsense Induced Sequential Neural Networks for Sentiment Classification
Query-to-Session Matching: Do NOT Forget History and Future during Response Selection for Multi-Turn Dialogue Systems
Discovering missing click-through query language information for web search
Deep Semantic Frame-Based Deceptive Opinion Spam Analysis
GRLND: A Graph Reinforcement Learning Framework for Network Dismantling
Linking to Web Knowledge Bases and Applications to Web Search
Mining temporal classes from time series data
SPHINX: rich insights into evidence-hypotheses relationships via parameter space-based exploration
Using micro-reviews to select an efficient set of reviews
Hierarchical graph indexing
Source Prompt: Coordinated Pre-training of Language Models on Diverse Corpora from Multiple Sources
Contextual Skill Proficiency via Multi-task Learning at LinkedIn
Hands and Eyes Free Search
Preprocessing of informal mathematical discourse in context ofcontrolled natural language
ESED: Emotion-Specific Evidence Decomposition for Uncertainty-Aware Multimodal Emotion Recognition in Conversation
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks
Facilitating pattern discovery for relation extraction with semantic-signature-based clustering
Combating Ad Fatigue via Frequency-Recency Features in Online Advertising Systems
Proceedings of the 2nd ACM Workshop on Information Credibility on the Web, WICOW 2008, Napa Valley, California, USA, October 30, 2008
Collaborative Scope: Encountering the Substitution Effect within the Delivery Scope in Online Food Delivery Platform
Classification and annotation in social corpora using multiple relations
Neighborhood Voting: A Novel Search Scheme for Hashing
RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders
Finding a Dense Subgraph with Sparse Cut
A system for query-specific document summarization
The 1st Workshop on LLM Agents for Social Simulation
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018
DeMalC: A Feature-rich Machine Learning Framework for Malicious Call Detection
Diverse Enumeration of Maximal Cliques
HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations
The 1 st International Workshop on Retrieval-driven Generative AI & ScienceON AI Challenge: RDGENAI 2025
Graph Based Long-Term And Short-Term Interest Model for Click-Through Rate Prediction
PMTA: Perception-Aware Multi-Task Transformer Network for Personalized Multi-Domain Adaptation
AGCNT: Adaptive Graph Convolutional Network for Transformer-based Long Sequence Time-Series Forecasting
Extracting unstructured data from template generated web documents
Modeling Turn-Based Sequences for Player Tactic Applications in Badminton Matches
Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media
Stance Classification for Rumour Analysis in Twitter: Exploiting Affective Information and Conversation Structure
Solving Unconverged Learning of Pairs Trading Strategies with Representation Labeling Mechanism
Exploiting pipeline interruptions for efficient memory allocation
Knowledge-based assessment of behavior in dynamic environments
Penguins in sweaters, or serendipitous entity search on user-generated content
Compact Multiple-Instance Learning
Exploring Multi-Objective Exercise Recommendations in Online Education Systems
QGCMA: A Framework for Knowledge-Based Visual Question Answering
Learning to Generalize in Heterogeneous Federated Networks
Extracting Meaningful Labels for WEBSOM Text Archives
Exploratory Search of GANs with Contextual Bandits
Interactive Spatial Keyword Querying with Semantics
Efficient Energy Management in Distributed Web Search
SQL text parsing for information retrieval
Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval
Building optimal information systems automatically: configuration space exploration for biomedical information systems
PhotoFall: discovering weblog stories through photographs
Enriching the web by modeling reading difficulty
Informia: A Mediator for Integrated Access to Heterogeneous Information Sources
Predictability of Distrust with Interaction Data
Demystifying Financial Texts Using Natural Language Processing
Similarity-Aware Network Embedding with Self-Paced Learning
Channel-Independent Refiner for Multivariate Time Series Forecasting
Batch data warehouse maintenance in dynamic environments
An Object-Oriented Model for Image Information Representation
Identification of class specific discourse patterns
Automatically acquiring a semantic network of related concepts
Towards Effective Extraction and Linking of Software Mentions from User-Generated Support Tickets
A Platform for Argumentative Zoning Annotation and Scientific Summarization
Differentially Private Histogram Publication for Dynamic Datasets: an Adaptive Sampling Approach
Enhancing Information Diffusion Prediction with Self-Supervised Disentangled User and Cascade Representations
Advances in Phonetic Word Spotting
Integrating a Part Relationship Into an Open OODB System Using Metaclasses
The Use of the Twitter Graphs for Analysing User Emotion for Business
Context-based entity description rule for entity resolution
Attractiveness versus Competition: Towards an Unified Model for User Visitation
Automatically suggesting topics for augmenting text documents
Multiple Manifold Regularized Sparse Coding for Multi-View Image Clustering
GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning
Adding structure to top-k: from items to expansions
Citation Metadata Extraction via Deep Neural Network-based Segment Sequence Labeling
eBook meets tabletop: using collaborative visualization for search and serendipity in on-line book repositories
Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation
Exploiting semantic annotations in math information retrieval
Combining resources with confidence measures for cross language information retrieval
4Is of social bully filtering: identity, inference, influence, and intervention
Interface Support for Data Archaeology
Iterative Search using Query Aspects
Probabilistic latent class models for predicting student performance
Adapt: adaptive database schema design for multi-tenant applications
LLaVA-Chef: A Multi-modal Generative Model for Food Recipes
Compare: A Framework for Scientific Comparisons
Semantic components enhance retrieval of domain-specific documents
Collection-based compression using discovered long matching strings
From sBoW to dCoT marginalized encoders for text representation
Ease the Process of Machine Learning with Dataflow
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations
A Structured Query Model for the Deep Relational Web
Comparing metrics across TREC and NTCIR: the robustness to system bias
Where shall we go today?: planning touristic tours with tripbuilder
A Multi-Modality Framework for Drug-Drug Interaction Prediction by Harnessing Multi-source Data
Process systems and data bases
Active Learning based Survival Regression for Censored Data
Detecting significant distinguishing sets among bi-clusters
Modeling hidden topics on document manifold
Coupling feature selection and machine learning methods for navigational query identification
A framework for personalized and collaborative clustering of search results
VizQ: A System for Scalable Processing of Visibility Queries in 3D Spatial Databases
Channeling the deluge: research challenges for big data and information systems
A Study of Realtime Summarization Metrics
Query result ranking over e-commerce web databases
Reporting bias and knowledge acquisition
Exploit the tripartite network of social tagging for web clustering
Invited talk: Developments, Libraries and Automated Theorem Provers
Mining diabetes complication and treatment patterns for clinical decision support
EDGE: A Conversational Interface driven by Large Language Models for Educational Knowledge Graphs Exploration
Proceedings of the 1998 ACM CIKM International Conference on Information and Knowledge Management, Bethesda, Maryland, USA, November 3-7, 1998
Bridging the Gap Between Sparsity and Redundancy: A Dual-Decoding Framework with Global Context for Map Inference
NOVO: Learnable and Interpretable Document Identifiers for Model-Based IR
Recursive Balanced k-Subset Sum Partition for Rule-constrained Resource Allocation
Scaling Probabilistic Temporal Query Evaluation
Learning to Selectively Update State Neurons in Recurrent Networks
To Be or not to Be, Tail Labels in Extreme Multi-label Learning
A model for weighting image objects in home photographs
Optimal Action Space Search: An Effective Deep Reinforcement Learning Method for Algorithmic Trading
Hotspot Detection in a Service-Oriented Architecture
Interest-matching information propagation in multiple online social networks
Reasoning about vague topological information
Search result diversification for enterprise data
GF-VAE: A Flow-based Variational Autoencoder for Molecule Generation
Multi-information fusion for uncertain semantic representations of videos
Assessing the Impact of Syntactic and Semantic Structures for Answer Passages Reranking
LLM-Enhanced Generalized Category Discovery via Iterative Graph Diffusion
Probabilistic Forecasts of Bike-Sharing Systems for Journey Planning
Personalized Tree-Based Progressive Regression Model for Watch-Time Prediction in Short Video Recommendation
ALPACA: a lightweight platform for analyzing claim acceptability
Learning Pair-Centric Representation for Link Sign Prediction with Subgraph
Nonlinear Classification via Linear SVMs and Multi-Task Learning
Peer-to-peer similarity search over widely distributed document collections
ProtoEHR: Hierarchical Prototype Learning for EHR-based Healthcare Predictions
TM 2015 - Topic Models: Post-Processing and Applications Workshop
SortTables: A Browser for a Digital Library
Stochastic gradient boosted distributed decision trees
Towards Robust Continual Test-Time Adaptation via Neighbor Filtration
Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding
A Dynamic Default Prediction Framework for Networked-guarantee Loans
RStar: an RDF storage and query system for enterprise resource management
Identification and Analysis of Medical Entity Co-occurrences in Twitter
Interaction-level Membership Inference Attack against Recommender Systems with Long-tailed Distribution
Revealing the Hidden Links in Content Networks: An Application to Event Discovery
Reliable and Privacy-Preserving Task Matching in Blockchain-Based Crowdsourcing
A two-stage text mining model for information filtering
Studying from electronic textbooks
A Triangulation Perspective for Search as Learning
The Role Of Citation Context In Predicting Long-Term Citation Profiles: An Experimental Study Based On A Massive Bibliographic Text Dataset
Concept Drift Adaption for Online Anomaly Detection in Structural Health Monitoring