yusuke1997/dblp-id-title huggingface dataset:
Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System
Extracting Context Data from User Reviews for Recommendation: A Linked Data Approach
Simulating Discoverability for Upcoming Content in TV Entertainment Platforms
Dynamic Surrogate Switching: Sample-Efficient Search for Factorization Machine Configurations in Online Recommendations
Personalized User Modelling for Context-Aware Lifestyle Recommendations to Improve Sleep
Predicting Personality Traits with Instagram Pictures
News Session-Based Recommendations using Deep Neural Networks
Social navigation for the spoken web
Iterative voting under uncertainty for group recommender systems
On the limitations of browsing top-N recommender systems
Knowledge-Aware Recommender Systems based on Multi-Modal Information Sources
Scalable Linear Shallow Autoencoder for Collaborative Filtering
Re2Dan: Retrieval of Medical Documents for e-Health in Danish
Learned Ranking Function: From Short-term Behavior Predictions to Long-term User Satisfaction
A Cross-Industry Machine Learning Framework with Explicit Representations
Emotion Vector-Based Fine-Tuning of Large Language Models for Age-Aware Teenage Book Recommendations
An Evaluation of Novelty and Diversity Based on Fuzzy Logic
Predicting Music Relistening Behavior Using the ACT-R Framework
Reproducibility Analysis of Recommender Systems relying on Visual Features: traps, pitfalls, and countermeasures
Trust-based collaborative filtering: tackling the cold start problem using regular equivalence
Two-Layer Bandit Optimization for Recommendations
"Just play something awesome": the personalization powering voice interactions at Pandora
On the Reliability of Sampling Strategies in Offline Recommender Evaluation
Automatic Collection Creation and Recommendation
An LSTM-Based Dynamic Customer Model for Fashion Recommendation
TagiCoFi: tag informed collaborative filtering
Recommendation in heterogeneous information networks with implicit user feedback
INSPIRED2: An Improved Dataset for Sociable Conversational Recommendation
Unbiased offline recommender evaluation for missing-not-at-random implicit feedback
Proceedings of the 2nd International Workshop on Health Recommender Systems co-located with the 11th International Conference on Recommender Systems (RecSys 2017), Como, Italy, August 31, 2017
An Improved Data Aggregation Strategy for Group Recommendations
3rd workshop on context-aware recommender systems (CARS 2011)
Improving Adversarial Robustness for Recommendation Model via Cross-Domain Distributional Adversarial Training
Off-Policy Evaluation of Candidate Generators in Two-Stage Recommender Systems
Deep Cross-Domain Fashion Recommendation
Embedding based retrieval for long tail search queries in ecommerce
Knowledge-aware Recommender System for Software Development
Predicting Your Next Stop-over from Location-based Social Network Data with Recurrent Neural Networks
Random Walk with Restart for Automatic Playlist Continuation and Query-Specific Adaptations
Measuring predictive capability in collaborative filtering
VideoRecSys 2023: First Workshop on Large-Scale Video Recommender Systems
Feature-Driven Interactive Recommendations and Explanations with Collaborative Filtering Approach
Using conceptual incongruity as a basis for making recommendations
Video recommendation using crowdsourced time-sync comments
Emotions and personality in recommender systems: tutorial
Recommenders in Banking: An End-to-end Personalization Pipeline within ING
Workshop on recommender systems in fashion (fashionXrecsys2019)
Factorization Meets the Item Embedding: Regularizing Matrix Factorization with Item Co-occurrence
ProtoCF: Prototypical Collaborative Filtering for Few-shot Recommendation
Time-dependent Evaluation of Recommender Systems
Emotion in Consumer Simulations for the Development and Testing of Recommendations for Marketing Strategies
A Lightweight Transformer for Next-Item Product Recommendation
Enhancing privacy and preserving accuracy of a distributed collaborative filtering
VL-CLIP: Enhancing Multimodal Recommendations via Visual Grounding and LLM-Augmented CLIP Embeddings
Exploiting non-content preference attributes through hybrid recommendation method
Sixth ACM Conference on Recommender Systems, RecSys '12, Dublin, Ireland, September 9-13, 2012
Measuring the Impact of Recommender Systems - A Position Paper on Item Consumption in User Studies
A Tool That Supports the Psychologically Based Design of Health-Related Interventions
3D Convolutional Networks for Session-based Recommendation with Content Features
Geographical recommender system based on interaction between map operation and category selection
Stronger Privacy for Federated Collaborative Filtering With Implicit Feedback
LSRS'17: Workshop on Large-Scale Recommender Systems
User-Centric Conversational Recommendation: Adapting the Need of User with Large Language Models
Synerise at RecSys 2021: Twitter user engagement prediction with a fast neural model
Music recommendations in hyperbolic space: an application of empirical bayes and hierarchical poincaré embeddings
Emotion-Based Movie Recommendations: How Far Can We Take This?
Yokie: explorations in curated real-time search & discovery using twitter
People Recommendation Tutorial
Generative Learning Plan Recommendation for Employees: A Performance-aware Reinforcement Learning Approach
Online Learning for Recommendations at Grubhub
Adaptive Collaborative Filtering with Personalized Time Decay Functions for Financial Product Recommendation
Browser-oriented universal cross-site recommendation and explanation based on user browsing logs
Geographical Diversification in POI Recommendation: Toward Improved Coverage on Interested Areas
Trending Now: Modeling Trend Recommendations
Proceedings of the Workshop on Online Misinformation- and Harm-Aware Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020), Rio de Janeiro, Brazil, September 25, 2020
Counterfactual learning for recommender system
Multi-Preview Recommendation via Reinforcement Learning
Adaptive Fusion of Multi-View for Graph Contrastive Recommendation
Enhancement of the Neutrality in Recommendation
Temporal learning and sequence modeling for a job recommender system
Juggler: Multi-Stakeholder Ranking with Meta-Learning
Merging Latent Factors and Tags to Increase Interactive Control of Recommendations
Dynamically selecting an appropriate context type for personalisation
An Advice Recommender System Based on Complaint Data Analysis
Proceedings of the 1st Workshop on Multi-Objective Recommender Systems (MORS 2021) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), Amsterdam, The Netherlands, September 25, 2021
On-the-Fly News Recommendation Using Sequential Patterns
Context-Regularized Neural Collaborative Filtering for Game App Recommendation
Performance of recommender algorithms on top-n recommendation tasks
Building recommender systems with strict privacy boundaries
Enhancing Privacy in Recommender Systems through Differential Privacy Techniques
Introducing LensKit-Auto, an Experimental Automated Recommender System (AutoRecSys) Toolkit
NORMalize 2025: The Third Workshop on Normative Design and Evaluation of Recommender Systems
Recommending social-interactive games for adults with autism spectrum disorders (ASD)
Navigating the Feedback Loop in Recommender Systems: Insights and Strategies from Industry Practice
GenSAR: Unifying Balanced Search and Recommendation with Generative Retrieval
Recommender systems for citizens: the CitRec'17 workshop manifesto
Test-Time Alignment with State Space Model for Tracking User Interest Shifts in Sequential Recommendation
R 4 ec: A Reasoning, Reflection, and Refinement Framework for Recommendation Systems
A Unified Optimization Toolbox for Solving Popularity Bias, Fairness, and Diversity in Recommender Systems
3rd FAccTRec Workshop: Responsible Recommendation
Mitigating Popularity Bias in Counterfactual Explanations using Large Language Models
xCLiMF: optimizing expected reciprocal rank for data with multiple levels of relevance
Introduction to Bandits in Recommender Systems
Failure Prediction in Conversational Recommendation Systems
MuRS 2024: 2nd Music Recommender Systems Workshop
Modeling User Repeat Consumption Behavior for Online Novel Recommendation
The Fault in Our Recommendations: On the Perils of Optimizing the Measurable
Aligning daily activities with personality: towards a recommender system for improving wellbeing
The 2021 RecSys Challenge Dataset: Fairness is not optional
Bayesian Personalized Ranking with Multi-Channel User Feedback
A generic semantic-based framework for cross-domain recommendation
Boosting collaborative filtering based on statistical prediction errors
Maximizing the Engagement: Exploring New Signals of Implicit Feedback in Music Recommendations
Are We Really Making Recommendations Robust? Revisiting Model Evaluation for Denoising Recommendation
Personalized Interest Graphs for Theme-Driven User Behavior
Item2vec: Neural Item Embedding for Collaborative Filtering
Deconfounding User Satisfaction Estimation from Response Rate Bias
Multi-Word Generative Query Recommendation Using Topic Modeling
Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems, HetRec '10, Barcelona, Spain, September 26, 2010
Optimally balancing receiver and recommended users' importance in reciprocal recommender systems
A Line in the Sand: Recommendation or Ad-hoc Retrieval? Overview of RecSys Challenge 2018 Submission by Team BachPropagate
TexTrolls: Identifying Trolls on Twitter with Textual and Affective Features
Second Workshop on Recommender Systems for Human Resources (RecSys in HR 2022)
Collective embedding for neural context-aware recommender systems
"To trust a LIAR": Does Machine Learning Really Classify Fine-grained, Fake News Statements?
Towards Genre Classification in the Library Catalog
Fascinating with Open Data: openArtBrowser
A data-driven platform for creating educational content in language learning
Eliciting and Curating Procedural Knowledge in Industry: Challenges and Opportunities
Quotations, Coreference Resolution, andSentiment Annotations in Croatian NewsArticles: An Exploratory Study
Proceedings of the Third Conference on Digital Curation Technologies (Qurator 2022), Berlin, Germany, Sept. 19th-23rd, 2022
Crowdsourcing versus the laboratory: Towards crowd-based linguistic text quality assessment of query-based extractive summarization
Proceedings of the Conference on Digital Curation Technologies (Qurator 2021), Berlin, Germany, February 8th - to - 12th, 2021
ROC: An Ontology for Country Responses towards COVID-19
Human-Friendly, Machine-Readable: Coreon MKS for Visual Curation of Semantic Content and Linked Data
Parsing Discourse Structures for Semantic Storytelling: Evaluating an efficient RST Parser
Providing Actionable Insights for Jurisprudence Researchers
Scientific Ontologies, Digital Curation and the Learning Knowledge Ecosystem
Combining Knowledge about Text Types and Document Structures for Enhanced Content Curation
Application of Knowledge Graphs for Creating a Library of Reusable Knowledge in the Smart City Domain
Putting Research-based Machine Learning Solutions for Subject Indexing into Practice
OCR Workflow: Facing Printed Texts of Ancient, Medieval and Modern Greek Literature
Identification of Relations between Text Segments for Semantic Storytelling
Knowledge Extraction for Art History: the Case of Vasari's The Lives of The Artists
Towards Discourse Parsing-inspired Semantic Storytelling
Ontology-based Entity Recognition and Annotation
An Evidence-Based, Contextual Approach to the Validation of Concept Alignments to Support Ontology Reuse
A Tool for Semiautomatic Cataloguing of an Islamic Digital Library: A Use Case from the Digital Maktaba Project
An Analysis of Ontological Entities to represent Knowledge on Quantum Computing Algorithms and Implementations
Knowledge Graph based Analysis and Exploration of Historical Theatre Photographs
Automatic Assessment of Online Content Credibility by Measuring the Adherence to Journalistic Standards
Proceedings of the Conference on Digital Curation Technologies (Qurator 2020), Berlin, Germany, January 20th - 21st, 2020
Towards a Knowledge Graph Lifecycle: A pipeline for the population of a commercial Knowledge Graph
Towards a Systematic Approach to Sync Factual Data across Wikipedia, Wikidata and External Data Sources
Collection and Curation of Language Data within the European Language Resource Coordination (ELRC)
Knowledge Graph enabled Curation and Exploration of Nuremberg's City Heritage
AI supported Topic Modeling using KNIME-Workflows
A computational framework for the analysis of the Uruguayan dictatorship archives
Factoid and Open-Ended Question Answering with BERT in the Museum Domain
A simple and efficient approach for the semi-automated curation for media review creation
Application of Deep Learning Techniques to Digital Holographic Microscopy for Numerical Reconstruction
SynSemClass for German: Extending a Multilingual Verb Lexicon
Building Multilingual Corpora for a Complex Named Entity Recognition and Classification Hierarchy using Wikipedia and DBpedia
Medical information-graphs, based on ontologies and FHIR
LiViTo: a software tool to assess linguistic and visual features of handwritten texts
Cultural Heritage as Data: Digital Curation and Artificial Intelligence in Libraries
QURATOR: Innovative Technologies for Content and Data Curation
Early Prediction of Heart Attack using Machine Learning Algorithms
Assisting the Power Generation Sector Toward Sustainability - an IoT Based System for Power Theft Detection with Theft Location Identification
Light Canvas: An IoT-Based Interactive Virtual Drawing System for Enhancing Educational Engagement
AI Integrated Entertaining and Monitoring System for Daily Care of Elders
A Comparative Study of ParsBERT and mBERT in Emotion Recognition for Dari-Farsi Text with Explainable AI
Roadway Impairment Identification in Asphalt Road Using Yolov8
Analyzing Web Application Vulnerabilities: An Empirical Study on E-Commerce Sector in Bangladesh
An Automated Model using Deep Convolutional Neural Network for Retinal Image Classification to Detect Diabetic Retinopathy
Deep Learning Based Real Time Bengali Multi Vehicle Number Plate Detection
Machine Learning-Enhanced Cross-Tier Security and Anomaly Detection in Wireless Body Area Networks
Concurrency Control in Distributed Database System: Solution of the Anomalies & Challenges
Adaptive Feature Selection and Classification of Colon Cancer From Gene Expression Data: an Ensemble Learning Approach
WLD-InceptionV3: AI and Computer Vision-Based Urban Waterlogging Detection Using a Modified InceptionV3 Model
BlockChain based Fertilizer Distribution System: Bangladesh Perspective
IoT Based Healthcare Middleware
Enhanced Characterization Performance of Propionylation PTM utilizing multiple feature fusion
Automated Paddy Disease Detection: A Deep Learning Approach
Stable Marriage Algorithm for Student-College Matching with Quota Constraints
Multiscale Feature Fusion using Attention Mechanisms in Multiclass Skin Lesion Classification: A Comprehensive Study
Machine Learning Method Based Industrial Risk Analysis and Prediction
A Novel Weighted Ensemble Strategy Using Transfer Learning for Enhanced Cervical Cancer Classification
Evaluation of Deep Learning models on UV ink : a Fake Money detection scheme with RPN
Text Summarization Driven By Question Answering Technique
Experimental data and clock multiplexing technique for implementing single wire synchronous data Bus
A Federated Learning-Based Blockchain-Assisted Anomaly Detection Scheme to Prevent Road Accidents in Internet of Vehicles
Advance Step to Protect Agriculture: A Deep Dive into Enhancing Food Security Through EfficientNet-B0 and XAI in Plant Disease Classification
Automated Self Driving Car Following Lane with Emergency Braking System
Proceedings of the 3rd International Conference on Computing Advancements, ICCA 2024, Dhaka, Bangladesh, October 17-18, 2024
Analysis of Brain Wave Data Using Neurosky Mindwave Mobile II
Stock Market Comparison and Analysis in Preceding and Following Pandemic in Bangladesh using Machine Learning Approaches
The Morphology of Life Events: A River metaphor and the Time Dimension Resolution
ICCA 2022: 2nd International Conference on Computing Advancements, Dhaka, Bangladesh, March 10 - 12, 2022
Network-Shield: Exploring the Efficacy of GRU Model in Intrusion Detection Using CIC-IDS 2018 Dataset
A Machine Learning Approach to Identify the Correlation and Association among the Students' Educational Behavior
Evaluation of Four SDN Controllers with Firewall Modules
ANFIS based authentication performance evaluation for enhancing security in Internet of Things
Receiving & Processing of High-Speed Data in Digital Storage Oscilloscope (DSO)
Design and Performance Evaluation of Eight Channel WDM Based PON with CSRZ-QPSK Transmitter Configuration
Sentiment Analysis on COVID-19 Vaccine Twitter Data using Neural Network Models
Detecting Intrusion in Cloud using Snort: An Application towards Cyber-Security
A Boolean network inference from time-series gene expression data using a statistical method
Proposing a framework to prevent Distributed Denial of Service (DDoS) attacks on IoT Devices
Design and Implementation of an IoT-based Home Automation System: IoT-based Home Automation System
Event Detection and Trust Verification using Blockchain
PanAdapt Protocol: Improving Energy Efficiency and Collision Management in Wireless Networks
Electronic Opinion Analysis System for Library (E-OASL)
Antimagic Labelling of any Perfect Binary Tree
An Expedition to Intelligent Diagnosis of Bone Cancer and It's Direction from Capsule Network
Exploring Data Warehousing Capabilities of NoSQL Systems for Big Data Analytics
Analyzing The Effect of COVID-19 on Mental Health based on Bangladeshi University Students
Efficient Machine Learning Techniques to Predict Lung Cancer
A Comprehensive Study on Interaction Fidelity and Carry-over Effects in Virtual Reality Environment
Ensemble Learning Based Ventilator-Associated Pneumonia Prediction Within 24 Hours
Criminal Behavior Analysis for Questionable Vehicle Detection
Blockchain Technology Integrated Electronic Vote Casting System
A Hybrid Framework for Interconnecting Various Software Engineering Process Models and Techniques
Hybridization of Evolutionary and Swarm Intelligence Algorithms for improved performance: A case study with TSP problem
An overview of Mobile Edge Computing in Vehicle Platooning
A Time-Varying Grey Wolf Optimizer
Design of 32×20 Gbps hybrid technique of PDM-WDM and its performance analysis for channel capacity enhancement
CAM - Categorized Affect Map: Implementation of a Smart Geographic Information System for Categorizing Places Based on People's Affective Responses
A Robust Method for Lane Detection under Adverse Weather and Illumination Conditions Using Convolutional Neural Network
An Overview of Neuromarketing Research in Developing Countries: Prospects and Challenges
Advanced CNN and Explainable AI Based Architecture for Interpretable Brain MRI Analysis
Generating Skin Lesion Hair Mask Pattern using Modified Pro-Gan
Identification of Extreme Guilt and Grave Fault in Bengali Language
Advancing Individual Well-being: Fatigue Detection Enhancement using Deep Learning Models
Application of Neuro-GA Hybrids in Sensor Optimization for Structural Health Monitoring
IoT-enabled Stability Chamber for the Pharmaceutical Industry
Deep Learning Based IoT Device Categorization Using Network Traffic Analysis
Player Performance Profiling for Penalty Shootouts in Football Using Video Analysis
Optimizing Magnetic Resonance Imaging Analysis for Brain Tumors: A Lightweight Neural Network Approach
A Review on E-Commerce System in Bangladesh: An Empirical Study
Robust Underwater Object Detection with Autonomous Underwater Vehicle: A Comprehensive Study
An Analysis of Incentive Model (PII) to Maximize the Beneficiary Outreach by Ensuring Privacy
BDIMS: A Blockchain Based Digital Identity Management System with Zero Knowledge Proof
A Proposed Design of a Lecture Material to Reduce Learning Complexity
Uncovering Hidden Realities of Child Labor Abuse in Egyptian Workplaces with Machine Learning and Explainable AI
A Comprehensive Review and Analysis on Decentralized Payment Gateways
Mutual Context-based Word Prediction for Internet Messenger Chat
Improve the Sentiment of Bengali Language Texts with Stopword Removal
Identification of Black Fungus Diseases Using CNN and Transfer-Learning Approach
Distributed Disk Store
Enhanced Classification of Anxiety, Depression, and Stress Levels: A Comparative Analysis of DASS21 Questionnaire Data Augmentation and Classification Algorithms
A Lightweight Deep Learning Architecture for Efficient Multimodal Medical Image Segmentation Using Attention Mechanism
LocatAR - An Augmented Reality Application for Local Points of Interest Identification
PhraseNet : AI Driven Semantic Analysis for Keyphrase Generation on News Documents
Extracting Relevant Information Using Handheld Augmented Reality
Enhancing Smartphone Lock Security using Vibration Enabled Randomly Positioned Numbers
Enhancing Accessibility with Real-Time Conversion of Text-to-Sign Language
Blockchain Utilization in Agro-Business of Bangladesh
Formalin Detection in Fish Using EfficientNet-B3 and VGG-16
An Empirical Comparison of Students' Performance in Online vs Offline Platforms Using Ensemble Learning Models
Skin Cancer Detection: Leveraging Hybrid Deep Learning Models and Traditional Machine Learning Classifiers
Predicting Bowling Performance in Cricket from Publicly Available Data
Toddler Sensory-Motor Development for Object Manipulation by Analyzing Hand-Pose
Leveraging Gene Expression Data and Explainable Machine Learning for Enhanced Early Detection of Type 2 Diabetes
Empowering Democracy: Unveiling the Brilliance of Blockchain Technology in Smart and Safe E-Voting Systems
A New Approach for Brain Stroke Detection and Classification using Multi-layered Deep Neural Network
Applied Instructional Design in Programee to Enhance Students E-learning Experience: Programee - The Future of E-Learning App
Ensemble Deep Learning for Real-Time Textile Fabric Defect Detection and Classification Using YOLOv8 and CNNs
Generating Scale-Free Caterpillar and Series-Parallel Networks
User Clustering-based Redundant Handover Mitigation in Ultra-dense Cellular Networks
EMG-Based Hand Gesture Dataset to Control Electronic Wheelchair for SCI Patients
Thermique: An Integrated AI-Based Temperature Sensing and Management System to Hold Back COVID-19 Contamination
Acoustic Analysis of Speech for Gender and Age Classification Using CNN and Machine Learning Techniques
STM32-Based Obstacle Avoiding Line Follower Robot
Classification on Educational Performance Evaluation Dataset using Feature Extraction Approach
The IoMT and Cloud in Healthcare: Use, Impact and Efficiency of Contemporary Sensor Devices Used by Patients and Clinicians
Automatic Control Point Selection System based Anthropomorphic Animal Face Masking
AnoSegNet: Anomaly Detection and Segmentation Using Convolutional Neural Networks with Variational Autoencoders for Enhancing Industrial Quality Control
Enhancement Of Mutation-Based Fuzzing Methods
An approach to secure multi-tier websites through SQL-Injection detection and prevention
BCTD: An Optimised CNN-based Deep Neural Network for Primary Stage Breast Cancer Detection and Classification
Predicting Heart Disease Risk with Lifestyle Factors: Uncovering Vital Predictors via Feature Selection and Machine Learning Techniques
A Real-Time Framework for Secure Storage of Surveillance Video Data in Cloud Environment
A Review on E-Banking Security in Bangladesh: An Empirical Study
Lightweight CNN Approach for Multiclass Alzheimer Stage Classification from MRI Scans
IoT Enabled Smart Egg-incubator with Remote Monitoring and Control System
An Effective Modification of Play Fair Cipher with Performance Analysis using 6X6 Matrix
A Concept: Classifying Student's Feedback Electronically for Improving Academics
Hemifacial Microsomia Detection Using Convolutional Neural Networks
A Survey on Personality Prediction