yusuke1997/dblp-id-title huggingface dataset:
Kalchas: a dynamic XML search engine
Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval
Labelling for Venue Visit Detection by Matching Wi-Fi Hotspots with Businesses
Injecting purpose and trust into data anonymisation
A Declarative Formalization of Knowledge Translation
Multi-Channel Sellers Traffic Allocation in Large-scale E-commerce Promotion
AdaFair: Cumulative Fairness Adaptive Boosting
Zero Shot on the Cold-Start Problem: Model-Agnostic Interest Learning for Recommender Systems
COPR: Consistency-Oriented Pre-Ranking for Online Advertising
Iterated DFT Based Techniques for Join Size Estimation
Efficient evaluation of multiple queries on streaming XML data
Self-supervised Learning and Graph Classification under Heterophily
On structuring formal, semi-formal and informal data to support traceability in systems engineering environments
A Semi-Supervised Document Clustering Technique for Information Organization
Support elements in graph structured schema reintegration
Proceedings of the CIKM 2022 Workshops co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, USA, October 17-21, 2022
A fast convergence clustering algorithm merging MCMC and EM methods
Towards a top-down and bottom-up bidirectional approach to joint information extraction
Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering
Automated Selection of Multiple Datasets for Extension by Integration
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction
Mining cancer genes with running-sum statistics
SAFE: Sequential Attentive Face Embedding with Contrastive Learning for Deepfake Video Detection
Covering a Graph with Dense Subgraph Families, via Triangle-Rich Sets
A Preference Approach to Reputation in Sponsored Search
Hypercomplex Prompt-aware Multimodal Recommendation
SeeQuery: An Automatic Method for Recommending Translations of Ontology Competency Questions into SPARQL-OWL
Predicting the effectiveness of keyword queries on databases
Practical private data matching deterrent to spoofing attacks
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning
Towards Consistency Checking over Evolving Ontologies
Models for Reader Interaction with Texts
Structured positional entity language model for enterprise entity retrieval
Towards expert finding by leveraging relevant categories in authority ranking
Two Test Collections for Retrieval Using Named Entity Markup
Weakly-Supervised Generative Adversarial Nets with Auxiliary Information for Wireless Coverage Estimation
A Framework for Task-specific Short Document Expansion
A Way to Boost Semi-NMF for Document Clustering
VILE: Block-Aware Visual Enhanced Document Retrieval
SANN: Programming Code Representation Using Attention Neural Network with Optimized Subtree Extraction
Towards minimizing the annotation cost of certified text classification
Synthesis of Dependent Multichannel ECG using Generative Adversarial Networks
Can Adversarial Weight Perturbations Inject Neural Backdoors
Intent-aware temporal query modeling for keyword suggestion
Geometric Heuristics for Transfer Learning in Decision Trees
Privacy and Security of Big Data: Current Challenges and Future Research Perspectives
Utilizing inter-passage and inter-document similarities for re-ranking search results
Fast approximation of steiner trees in large graphs
Towards integrative enterprise knowledge portals
A novel approach for privacy-preserving video sharing
Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting
PandaSQL: Parallel Randomized Triangle Enumeration with SQL Queries
The Interaction Graph Auto-encoder Network Based on Topology-aware for Transferable Recommendation
Mining Bursty Groups from Interaction Data
Heterogeneous Temporal Graph Neural Network Explainer
A Relation Extraction Approach for Clinical Decision Support
Learning Visual Features from Snapshots for Web Search
Document Classification Using Multiword Features
Taming Ultra-Long Behavior Sequence in Session-wise Generative Recommendation
ZEST: A Hybrid Model on Predicting Passenger Demand for Chauffeured Car Service
Algorithmic Balancing of Familiarity, Similarity, & Discovery in Music Recommendations
A data mining system based on SQL queries and UDFs for relational databases
Quantifying Query Ambiguity with Topic Distributions
Parallel Hashing Using Representative Points in Hyperoctants
ReQue: A Configurable Workflow and Dataset Collection for Query Refinement
Named Entity-based Question-Answering Pair Generator
Leveraging the Graph Structure of Neural Network Training Dynamics
Automatic translation of scholarly terms into patent terms
Visual Exploration of Literature with Argo Scholar
Mining advices from weblogs
French presidential elections: what are the most efficient measures for tweets?
Multi-gate Mixture-of-Contrastive-Experts with Graph-based Gating Mechanism for TV Recommendation
Unleashing the Power of Shared Label Structures for Human Activity Recognition
Authentication of location-based skyline queries
Are words enough?: a study on text-based representations and retrieval models for linking pins to online shops
On empirical tradeoffs in large scale hierarchical classification
A Knowledge-Aware Recommender with Attention-Enhanced Dynamic Convolutional Network
Robust nonnegative matrix factorization using L21-norm
Identifying static analysis techniques for finding non-fix hunks in fix revisions
Index compression vs. retrieval time of inverted files for XML documents
CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks
Exploiting web 2.0 forallknowledge-based information retrieval
Link prediction: the power of maximal entropy random walk
CloudDB 2012: fourth international workshop on cloud data management
PCMLogging: reducing transaction logging overhead with PCM
Local-to-global semi-supervised feature selection
Microblog Topic Contagiousness Measurement and Emerging Outbreak Monitoring
Implementation Notes for the Soft Cosine Measure
Improving Recommendation Fairness via Graph Structure and Representation Augmentation
Context-Adaptive Matrix Factorization for Multi-Context Recommendation
Comparison of interestingness functions for learning web usage patterns
MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models
Camaraderie: Content-based Knowledge Transfer for Medical Image Labelling using Supervised Autoencoders in a Decentralized Setting
Gelling, and melting, large graphs by edge manipulation
HiLite: Hierarchical Level-implemented Architecture Attaining Part-Whole Interpretability
Semantic Search on Internet Tabular Information Extraction for Answering Queries
Mining user interest from search tasks and annotations
SPM: Structured Pretraining and Matching Architectures for Relevance Modeling in Meituan Search
Pseudo Triplet Networks for Classification Tasks with Cross-Source Feature Incompleteness
Lifespan-based Partitioning of Index Structures for Time-travel Text Search
Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark
Processing OODB Queries by O-Algebra
Exploiting ranking factorization machines for microblog retrieval
MSTEM: Masked Spatiotemporal Event Series Modeling for Urban Undisciplined Events Forecasting
Mining Semi-Structured Online Knowledge Bases to Answer Natural Language Questions on Community QA Websites
Spans, Not Tokens: A Span-Centric Model for Multi-Span Reading Comprehension
DynamicESG: A Dataset for Dynamically Unearthing ESG Ratings from News Articles
Pay-as-you-go maintenance of precomputed nearest neighbors in large graphs
Context sensitive synonym discovery for web search queries
SQL extension for exploring multiple tables
Cross-media impact on twitter in japan
Adversarial Learning for Incentive Optimization in Mobile Payment Marketing
Continuous Personalized Knowledge Tracing: Modeling Long-Term Learning in Online Environments
Social recommendation across multiple relational domains
L1 and L2 Regularized Deep Residual Network Model for Automated Detection of Myocardial Infarction (Heart Attack) Using Electrocardiogram Signals
Annotating knowledge work lifelog: term extraction from sensor and operation history
Nonparametric Estimation of Non-Smooth Divergences
DTMBIO 2011: international workshop on data and textmining in biomedical informatics
Index compression is good, especially for random access
AgentRE: An Agent-Based Framework for Navigating Complex Information Landscapes in Relation Extraction
Unified utility maximization framework for resource selection
Towards workload shift detection and prediction for autonomic databases
Utility scoring of product reviews
Multi-scale characterization of social network dynamics in the blogosphere
Mining sentiment terminology through time
Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation
On the Challenges of Podcast Search at Spotify
Sampling Triples from Restricted Networks using MCMC Strategy
SCC - A Test Collection for Search in Chat Conversations
Flexiffusion: Training-Free Segment-Wise Neural Architecture Search for Efficient Diffusion Models
Ceres: Harvesting Knowledge from the Semi-structured Web
Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation
SCOPA: Soft Code-Switching and Pairwise Alignment for Zero-Shot Cross-lingual Transfer
A Communication Efficient Parallel DBSCAN Algorithm based on Parameter Server
Entity-aware Collaborative Relation Network with Knowledge Graph for Recommendation
iRANK: an interactive ranking framework and its application in query-focused summarization
Evaluating an associative browsing model for personal information
Label correspondence learning for part-of-speech annotation transformation
Transferring topical knowledge from auxiliary long texts for short text clustering
FeReD: Federated Reinforcement Learning in the DBMS
A Topic and Concept Integrated Model for Thread Recommendation in Online Health Communities
Exploiting Class Labels to Boost Performance on Embedding-based Text Classification
ResumeGAN: An Optimized Deep Representation Learning Framework for Talent-Job Fit via Adversarial Learning
Automated feature generation from structured knowledge
Nonparametric bayesian multitask collaborative filtering
Behavior-driven clustering of queries into topics
Page Access Scheduling in Join Processing
FedFMD: Fairness-Driven Adaptive Aggregation in Federated Learning via Mahalanobis Distance
UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models
Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU
The logical diversity of explanations in OWL ontologies
Real until proven fake - Source-Level Audio Deepfake Detection (with PIPNet)
On active learning in hierarchical classification
Spatiotemporal Weather Data Predictions with Shortcut Recurrent-Convolutional Networks: A Solution for the Weather4cast Challenge
Identifying Potential Bioactive Compounds of Natural Products by Combining ADMET Prediction Methods
NActSeer : Predicting User Actions in Social Network using Graph Augmented Neural Network
Explorations in tag suggestion and query expansion
Proceedings of the Fifth ACM Workshop on Research Advances in Large Digital Book Repositories and Complementary Media, BooksOnline@CIKM '12, Maui, Hawaii, USA, October 29, 2012
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange
Using bi-modal alignment and clustering techniques for documents and speech thematic segmentations
ReLiable: Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games
Text document clustering based on frequent word sequences
An Robust Entity Alignment Method based on Knowledge Distillation with Noisy Aligned Pairs
Framework for timely and accurate ads on mobile devices
Automatic query structuring from sentences for Japanese web retrieval
TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference
TimeRAG: Enhancing Complex Temporal Reasoning with Search Engine Augmentation
Incremental Maintenance for Dynamic Database-Derived HTML Pages in Digital Libraries
Discovering influential authors in heterogeneous academic networks by a co-ranking method
Dynamic Network-Based Two-Stage Time Series Forecasting for Affiliate Marketing
A Synopses Data Engine for Interactive Extreme-Scale Analytics
Can LLMs Reason Like Humans? Assessing Theory of Mind Reasoning in LLMs for Open-Ended Questions
Improving Ranking Consistency for Web Search by Leveraging a Knowledge Base and Search Logs
Perspective hierarchical dirichlet process for user-tagged image modeling
Review rating prediction based on the content and weighting strong social relation of reviewers
Learning Chinese Word Embeddings By Discovering Inherent Semantic Relevance in Sub-characters
Using micro information units for internet search
Retrieval Augmented Deep Anomaly Detection for Tabular Data
Modeling Sequential Collaborative User Behaviors For Seller-Aware Next Basket Recommendation
LCHGNN: Towards Distributed Hypergraph Neural Network Training Based on Communication Graphs with Lightweight Communication Optimization
Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework
A random walk on the red carpet: rating movies with user reviews and pagerank
Supporting exploratory people search: a study of factor transparency and user control
Graph-of-word and TW-IDF: new approach to ad hoc IR
Context over Time: Modeling Context Evolution in Social Media
RecBole 2.0: Towards a More Up-to-Date Recommendation Library
Perturbation Effect: A Metric to Counter Misleading Validation of Feature Attribution
Improve the effectiveness of the opinion retrieval and opinion polarity classification
Extracting Figures and Captions from Scientific Publications
LiquidXML: adaptive XML content redistribution
Maximum Signed (k, r)-Truss Identification in Signed Networks
Beyond Surface Similarity: A Riemannian Hierarchical Ranking Framework for Sociological Concept Equivalence
Smart Contract Scams Detection with Topological Data Analysis on Account Interaction
Over-penalization for Extra Information in Neural IR Models
CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors
Grassland: A Rapid Algebraic Modeling System for Million-variable Optimization
Digging for knowledge with information extraction: a case study on human gene-disease associations
Practical evaluation of IR within automated classification systems
GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation Systems
Multi-turn Classroom Dialogue Dataset: Assessing Student Performance from One-on-one Conversations
DQR: a probabilistic approach to diversified query recommendation
Fast PCA computation in a DBMS with aggregate UDFs and LAPACK
Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification
Crowdsourcing Pareto-Optimal Object Finding By Pairwise Comparisons
Use of Pseudo Relevance Feedback for Patent Clustering with Fuzzy CMeans
Passage retrieval based on language models
KP-Agent: Keyword Pruning in Sponsored Search Advertising via LLM-Powered Contextual Bandits
Diversity-aware Deep Ranking Network for Recommendation
An Embarrassingly Simple but Effective Knowledge-enhanced Recommender
Design and development of a tool based on Coq to write and format mathematical proofs
Joint Topic-Semantic-aware Social Recommendation for Online Voting
Recency ranking by diversification of result set
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer
Enhancing Catalog Relationship Problems with Heterogeneous Graphs and Graph Neural Networks Distillation
Energy-Guided Diffusion Sampling for Long-Term User Behavior Prediction in Reinforcement Learning-based Recommendation
A Clustering Algorithm for Asymmetrically Related Data with Applications to Text Mining
Learning relatedness measures for entity linking
Managing collaborative feedback information for distributed retrieval
Pair-Wise entity resolution: overview and challenges
Multi-Graph Explorer: A Framework for Advanced Multi-Graph Analysis and Method Development
Restructuring batch view maintenance efficiently
HeGA: Heterogeneous Graph Aggregation Network for Trajectory Prediction in High-Density Traffic
Fast centrality approximation in modular networks
Maximizing revenue from strategic recommendations under decaying trust
A microscopic view on community detection in complex networks
Unveiling the Role of Message Passing in Dual-Privacy Preservation on GNNs
MEgo2Vec: Embedding Matched Ego Networks for User Alignment Across Social Networks
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning
Relevance and Reinforcement in Interactive Browsing
Re-Evaluating Indexing Schemes for Nested Objects
SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems
Reconciliation of categorical opinions from multiple sources
Lead-LagNet: Exploiting Lead-Lag Dependencies for Cross-Series Temporal Prediction
Clustering queries for better document ranking
Web-DL: an experience in building digital libraries from the web
On the Reliability of User Feedback for Evaluating the Quality of Conversational Agents
A new cache replacement algorithm for the integration of web caching and prefectching
Top-N Recommendation with Counterfactual User Preference Simulation
Partial duplicate detection for large book collections
Joint Proceedings of the FM4M, MathUI, and ThEdu Workshops, Doctoral Program, and Work in Progress at the Conference on Intelligent Computer Mathematics 2016 co-located with the 9th Conference on Intelligent Computer Mathematics (CICM 2016), Bialystok, Poland, July 25-29, 2016
Mobile App Retrieval for Social Media Users via Inference of Implicit Intent in Social Media Text
EdgeNet : Encoder-decoder generative Network for Auction Design in E-commerce Online Advertising
Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation
A collective synchronous behavior model on social media
Identifying Top- k Structural Hole Spanners in Large-Scale Social Networks
Joint Collaborative Ranking with Social Relationships in Top-N Recommendation
Attention-based Adaptive Model to Unify Warm and Cold Starts Recommendation
HRAM: A Hybrid Recurrent Attention Machine for News Recommendation
Identification of low/high retrievable patents using content-based features
Overview of the 2nd international workshop on search and mining user-generated contents
Robust prediction from multiple heterogeneous data sources with partial information
PredictionIO: a distributed machine learning server for practical software development
FedPSE: Personalized Sparsification with Element-wise Aggregation for Federated Learning
G-CREWE: Graph CompREssion With Embedding for Network Alignment
Frequent grams based embedding for privacy preserving record linkage
Redundant documents and search effectiveness
Crime Linkage Based on Textual Hebrew Police Reports Utilizing Behavioral Patterns
An architecture for xml information retrieval in a peer-to-peer environment
Approximation Algorithms for Coordinating Ad Campaigns on Social Networks
High Performance Clustering Based on the Similarity Join
PEQQS: a Dataset for Probing Extractive Quantity-focused Question Answering from Scientific Literature
Enchancing Knowledge Processing in Client/Server Environments
Selectively Expanding Queries and Documents for News Background Linking
Harmonization of detailed clinical models with clinical study data standard
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting
Extreme Multi-Label Completion for Semantic Document Tagging with Taxonomy-Aware Parallel Learning
Interpretable Emotion Analysis Based on Knowledge Graph and OCC Model
Ontology-Based Web Site Mapping for Information Exploration
DEVES: Interactive Signal Analytics for Drug Safety
Recommending Serendipitous Items using Transfer Learning
Topic analysis for topic-focused multi-document summarization
Densest Subgraph Discovery on Decentralized Graphs with Local Edge Differential Privacy
LGC-CR: Few-shot Knowledge Graph Completion via Local Global Contrastive Learning and LLM-Guided Refinement
PSUN: A Profiling System for Usenet News
Hierarchical Module Classification in Mixed-initiative Conversational Agent System
A Scalable Graph-Coarsening Based Index for Dynamic Graph Databases
SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks
Masked Multi-Domain Network: Multi-Type and Multi-Scenario Conversion Rate Prediction with a Single Model
NILK: Entity Linking Dataset Targeting NIL-linking Cases
Proceedings of the 2000 ACM CIKM International Conference on Information and Knowledge Management, McLean, VA, USA, November 6-11, 2000
Using normalized alignment scores to detect incorrectly aligned segments
Spatio-temporal Graph Normalizing Flow for Probabilistic Traffic Prediction
Examining the Additivity of Top-k Query Processing Innovations
Results Presentation Methods for a Spoken Conversational Search System
Topic based pose relevance learning in dance archives
Towards Effective Modeling and Exploitation of Search and User Context in Conversational Information Retrieval
Automatic image annotation using tag-related random search over visual neighbors
Preference query evaluation over expensive attributes
Core-Sets For Canonical Correlation Analysis
Moving from descriptive to causal analytics: case study of discovering knowledge from us health indicators warehouse
Connecting users with similar interests via tag network inference
Flexi-clique: Exploring Flexible and Sub-linear Clique Structures
Proceedings of the 4th Workshop on Patent Information Retrieval, PaIR '11, Glasgow, Scotland, UK, October 24, 2011
MonitorLight: Reinforcement Learning-based Traffic Signal Control Using Mixed Pressure Monitoring
Towards a Visual Query Interface for Phylogenetic Databases
Search as if you were in your home town: geographic search by regional context and dynamic feature-space selection
HIT Model: A Hierarchical Interaction-Enhanced Two-Tower Model for Pre-Ranking Systems
Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection
ReDSM5: A Reddit Dataset for DSM-5 Depression Detection
End-to-end Multi-task Learning Framework for Spatio-Temporal Grounding in Video Corpus
Pareto-based Multi-Objective Recommender System with Forgetting Curve
Detection of Novel Social Bots by Ensembles of Specialized Classifiers
Phrase Query Optimization on Inverted Indexes
Right-protected data publishing with hierarchical clustering preservation
The SimIIR 2.0 Framework: User Types, Markov Model-Based Interaction Simulation, and Advanced Query Generation
A Fast Linear Computational Framework for User Action Prediction in Tencent MyApp
Hybrid Indexing for Versioned Document Search with Cluster-based Retrieval
Probabilistic near-duplicate detection using simhash
Logical and physical support for heterogeneous data
Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation
A New On-Line Learning Algorithm for Adaptive Text Filtering
Information Agents for Automated Browsing
A word clustering approach for language model-based sentence retrieval in question answering systems
Disentangling Complex Questions in LLMs via Multi-Hop Dependency Graphs
Search-based query suggestion
Beyond Masking: Landmark-based Representation Learning and Knowledge-Distillation for Audio-Visual Deepfake Detection
Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction
From Object Evolution to Object Emergence
Scalable Learning to Troubleshoot Query Performance Problems
Patent query reduction using pseudo relevance feedback
Syntactic Knowledge-Infused Transformer and BERT Models
Being picky: processing top-k queries with set-defined selections
Deepfake Audio Detection Via Feature Engineering And Machine Learning
Recommendation for Multi-stakeholders and through Neural Review Mining