yusuke1997/dblp-id-title huggingface dataset:
Adversarial tensor factorization for context-aware recommendation
When Recurrent Neural Networks meet the Neighborhood for Session-Based Recommendation
Recommendations at Videoland
An Empirical Analysis of Collaborative Recommender Systems Robustness to Shilling Attacks
Generating supplemental content information using virtual profiles
A random walk method for alleviating the sparsity problem in collaborative filtering
Local implicit feedback mining for music recommendation
Evolutionary Approach in Recommendation Systems for Complex Structured Objects
OrdRec: an ordinal model for predicting personalized item rating distributions
Economics of Recommender Systems
Elicitation of profile attributes by transparent communication
Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference
Aggregating content and network information to curate twitter user lists
A comparison of calibrated and intent-aware recommendations
Personalized recommendation in social tagging systems using hierarchical clustering
An incentive-based architecture for social recommendations
A user meta-model for context-aware recommender systems
A Recommender System for Personalized Exploration of Majors, Minors, and Concentrations
Understanding and improving relational matrix factorization in recommender systems
TreatRAG: A Framework for Personalized Treatment Recommendation
Performance Predictors for Conversational Fashion Recommendation
Predicting social-tags for cold start book recommendations
Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems
Orthogonal Low Rank Embedding Stabilization
Leveraging Multi-Method Evaluation for Multi-Stakeholder Settings
A Multistakeholder Approach to Value-Driven Co-Design of Recommender Systems Evaluation Metrics in Digital Archives
Proceedings of the 1st Workshop on New Trends in Content-based Recommender Systems co-located with the 8th ACM Conference on Recommender Systems, CBRecSys@RecSys 2014, Foster City, Silicon Valley, California, USA, October 6, 2014
Second International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2025)
Are we really making much progress? A worrying analysis of recent neural recommendation approaches
Multi-stakeholder Recommendation and its Connection to Multi-sided Fairness
Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations
Proceedings of the 3rd International Workshop on Health Recommender Systems, HealthRecSys 2018, co-located with the 12th ACM Conference on Recommender Systems (ACM RecSys 2018), Vancouver, BC, Canada, October 6, 2018
LinkedIn skills: large-scale topic extraction and inference
NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation
Evaluating the Robustness of Off-Policy Evaluation
Building a Platform for Ensemble-based Personalized Research Literature Recommendations for AI and Data Science at Zeta Alpha
The network effects of recommending social connections
Recommender systems for contextually-aware, versioned items
MORS 2022: The Second Workshop on Multi-Objective Recommender Systems
Investigating the Role of Personality Traits and Influence Strategies on the Persuasive Effect of Personalized Recommendations
Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2021 co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021), Amsterdam, The Netherlands, September 25, 2021
Second Workshop on Recommender Systems in Fashion - fashionXrecsys2020
PAIRSAT: Integrating Preference-Based Signals for User Satisfaction Estimation in Dialogue Systems
Search-Based Serving Architecture of Embeddings-Based Recommendations
2nd FATREC workshop: responsible recommendation
Analysing Compression Techniques for In-Memory Collaborative Filtering
Bias Disparity in Recommendation Systems
Addressing the cold-start problem with a two-branch architecture for fair tweet recommendation
A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios
Considering Supplier Relations and Monetization in Designing Recommendation Systems
Sparse Feature Factorization for Recommender Systems with Knowledge Graphs
Demonstrating Principled Uncertainty Modeling for Recommender Ecosystems with RecSim NG
RecExp: A Semantic Recommender System with Explanation Based on Heterogeneous Information Network
Hybrid event recommendation using linked data and user diversity
Loss Harmonizing for Multi-Scenario CTR Prediction
Leveraging Explicit Negative Feedback in Large-Scale Recommendation Systems: A Case Study
Automating recommender systems experimentation with librec-auto
A Model-Agnostic Framework for Recommendation via Interest-aware Item Embeddings
The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation
Recommendations with a Purpose
Probability-based Approach for Predicting E-commerce Consumer Behaviour Using Sparse Session Data
Stairway to Fairness: Connecting Group and Individual Fairness
A multiagent knowledge-based recommender approach with truth maintenance
Personalized, Health-Aware Recipe Recommendation: An Ensemble Topic Modeling Based Approach
Workshop on Recommendation in Complex Scenarios: (ComplexRec 2017)
Evaluating sources of implicit feedback in web searches
Estimating the Value of Multi-Dimensional Data Sets in Context-based Recommender Systems
Music Personalization at Spotify
Simple Objectives Work Better
Intent-Aware Diversification using Item-Based SubProfiles
Using citation-context to reduce topic drifting on pure citation-based recommendation
Of Spiky SVDs and Music Recommendation
Maximum margin matrix factorization for code recommendation
Combining Context Features in Sequence-Aware Recommender Systems
Scaling Image Variant Optimization Through Customer Bucketing and Response Caching: A Large-Scale Implementation at Amazon Prime Video
Recommending interesting events in real-time with foursquare check-ins
Quote Recommendation for Dialogs and Writings
TrailMix: An Ensemble Recommender System for Playlist Curation and Continuation
Closed-Form Models for Collaborative Filtering with Side-Information
Heterogeneous User Modeling for LLM-based Recommendation
Are Recommender Systems Serving Children? Toward Child-Aware Design and Evaluation
EntityBot: Supporting Everyday Digital Tasks with Entity Recommendations
Learning to recommend helpful hotel reviews
Research Methods for Group Recommender System
Rethinking Overconfidence in VAEs: Can Label Smoothing Help?
Context-aware Graph Embedding for Session-based News Recommendation
Proceedings of the 9th ACM Conference on Recommender Systems, RecSys 2015, Vienna, Austria, September 16-20, 2015
TLRec: A Transfer Learning Framework to Enhance Large Language Models for Sequential Recommendation Tasks
CARS: Workshop on Context-Aware Recommender Systems 2022
Neural Basket Embedding for Sequential Recommendation
Recsys'09 industrial keynote: top 10 lessons learned developing deploying and operating real-world recommender systems
Purchase Prediction and Item Suggestion based on HTTP sessions in absence of User Information
Instructing and Prompting Large Language Models for Explainable Cross-domain Recommendations
FAccTRec 2023: The 6th Workshop on Responsible Recommendation
Breaking Knowledge Boundaries: Cognitive Distillation-enhanced Cross-Behavior Course Recommendation Model
Keynote: Deep learning for audio-based music recommendation
Product collection recommendation in online retail
Contests: way forward or detour?
Personalizing the local mobile experience: workshop at RecSys 2012
A-HA: a hybrid approach for hotel recommendation
See the Movie, Hear the Song, Read the Book: Extending MovieLens-1M, Last.fm-2K, and DBbook with Multimodal Data
Recommender Systems Seen Through the Lens of Choice Architecture
REVEAL 2018: offline evaluation for recommender systems
SlateLLM: Distilling LLM Semantics into Session-Aware Slate Recommendation without Inference Overhead
Darwin & Goliath: a white-label recommender-system as-a-service with automated algorithm-selection
Location-Aware Online Learning for Top-k Hashtag Recommendation
Proceedings of the 5th Workshop on Online Recommender Systems and User Modeling co-located with the 16th ACM Conference on Recommender Systems, ORSUM@RecSys 2022, Seattle, WA, USA, September 23rd, 2022
Query-based simple and scalable recommender systems with apache hivemall
Learning in efficient tag recommendation
Exploring the Effect of Context-Awareness and Popularity Calibration on Popularity Bias in POI Recommendations
From Sensors to Songs: A Learning-Free Novel Music Recommendation System using Contextual Sensor Data
RecSys Challenge '20: Proceedings of the Recommender Systems Challenge 2020, Virtual Event Brazil, September, 2020
Context-Based IDE Command Recommender System
SocRipple: A Two-Stage Framework for Cold-Start Video Recommendations
Enhancing Counterfactual Evaluation and Learning for Recommendation Systems
Assessing the Value of Transparency in Recommender Systems: An End-User Perspective
Modularizing deep neural network-inspired recommendation algorithms
Prediction Accuracy and Autonomy
Engaging with Tweets: The Missing Dataset On Social Media
MoviExplain: a recommender system with explanations
Improving the discriminative power of inferred content information using segmented virtual profile
Do Recommender Systems Promote Local Music? A Reproducibility Study Using Music Streaming Data
Generative Next-Basket Recommendation
RecSys Challenge 2016: job recommendations based on preselection of offers and gradient boosting
A Package Recommendation Framework for Trip Planning Activities
Revisiting offline evaluation for implicit-feedback recommender systems
Impacts of Mainstream-Driven Algorithms on Recommendations for Children Across Domains: A Reproducibility Study
Power Loss Function in Neural Networks for Predicting Click-Through Rate
Large Scale Hierarchical User Interest Modeling for Click-through Rate Prediction
Adaptive collaborative topic modeling for online recommendation
Towards Symbiotic Recommendations: Leveraging LLMs for Conversational Recommendation Systems
Do Users Appreciate Explanations of Recommendations? An Analysis in the Movie Domain
Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), Boston, USA, September 17, 2016
An Off-Policy Learning Approach for Steering Sentence Generation towards Personalization
Beyond lists: studying the effect of different recommendation visualizations
The challenges of recommending digital selves in physical spaces
A supervised machine learning link prediction approach for academic collaboration recommendation
A First Analysis of Meta-Learned Per-Instance Algorithm Selection in Scholarly Recommender Systems
A food recommender for patients in a care facility
Global-Local Item Embedding for Temporal Set Prediction
Discount Sensitive Recommender System for Retail Business
Remembering the stars?: effect of time on preference retrieval from memory
RecQR: Using Recommendation Systems for Query Reformulation to correct unseen errors in spoken dialog systems
"Serving Each User": Supporting Different Eating Goals Through a Multi-List Recommender Interface
Fifty Shades of Ratings: How to Benefit from a Negative Feedback in Top-N Recommendations Tasks
Predictability limits in session-based next item recommendation
Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering
The Application of Recommender Systems in a Multi Site, Multi Domain Environment
TourExplain: A Crowdsourcing Pipeline for Generating Explanations for Groups of Tourists
Shared collaborative filtering
Meta-Prod2Vec: Product Embeddings Using Side-Information for Recommendation
Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (#IntRS)
LEAF: Lightweight, Efficient, Adaptive and Flexible Embedding for Large-Scale Recommendation Models
Movie recommender system for profit maximization
User preferences in recommendation algorithms: the influence of user diversity, trust, and product category on privacy perceptions in recommender algorithms
Automated Machine Learning in the Wild
The 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning: (RecSysKTL)
Translation-based Recommendation
Nudging Towards Health in a Conversational Food Recommender System Using Multi-Modal Interactions and Nutrition Labels
Improving augmented reality using recommender systems
GReS: Workshop on Graph Neural Networks for Recommendation and Search
The Cholesterol Factor: Balancing Accuracy and Health in Recipe Recommendation Through a Nutrient-Specific Metric
Inferring the Causal Impact of New Track Releases on Music Recommendation Platforms through Counterfactual Predictions
Recommending the Duration of Stay in Personalized Travel Recommender Systems
Multiobjective Evaluation of Reinforcement Learning Based Recommender Systems
The 13th International Workshop on News Recommendation and Analytics (INRA 2025)
Engagement Scoring for Care-gap Intervention Optimization
Fit to Run: Personalised Recommendations for Marathon Training
Attribute-based evaluation for recommender systems: incorporating user and item attributes in evaluation metrics
Biases in LLM-Generated Musical Taste Profiles for Recommendation
Recommender Systems Alone Are Not Everything: Towards a Broader Perspective in the Evaluation of Recommender Systems
User Churn Migration Analysis with DEDICOM
Comparing recommender systems using synthetic data
Online Matching: A Real-time Bandit System for Large-scale Recommendations
Leveraging Multi-Faceted User Preferences for Improving Click-Through Rate Predictions
Exploring the Potential of LLMs for Serendipity Evaluation in Recommender Systems
Helping Users Perceive Recommendation Diversity
An architecture for privacy-enabled user profile portability on the web of data
A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation
ReChorus2.0: A Modular and Task-Flexible Recommendation Library
Does the Bubble Go Beyond? An Exploration of the Urban Filter Bubble
Visual Analysis of Recommendation Performance
Case Study Evaluation of Mahout as a Recommender Platform
A network performance recommendation process for advanced internet applications users
uRank : Exploring Document Recommendations through an Interactive User-Driven Approach
Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES)
LANCE: Exploration and Reflection for LLM-based Textual Attacks on News Recommender Systems
Harnessing Temporal Dynamics and Content: An Ensemble of Gradient Boosting Machines for News Recommendation
PM K-LightGCN: Optimizing for Accuracy and Popularity Match in Course Recommendation
Personalized location recommendation on location-based social networks
Dynamic Product Image Generation and Recommendation at Scale for Personalized E-commerce
Leveraging the linkedin social network data for extracting content-based user profiles
Equivariant Contrastive Learning for Sequential Recommendation
Content-boosted matrix factorization for recommender systems: experiments with recipe recommendation
Recurrent Latent Variable Networks for Session-Based Recommendation
Future of in-vehicle recommendation systems @ Bosch
Weighted Random Walks for Meta-Path Expansion in Heterogeneous Networks
International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023
Workshop on Context-Aware Recommender Systems 2023
Recommendation from Intransitive Pairwise Comparisons
Analyzing Accuracy versus Diversity in a Health Recommender System for Physical Activities: a Longitudinal User Study
Personalized Job Recommendation System at LinkedIn: Practical Challenges and Lessons Learned
Semi-Automated Identification of News Story Chains: A New Dataset and Entity-based Labeling Method
RecSys '19 joint workshop on interfaces and human decision making for recommender systems
HiDePCC: A Novel Dual-Pronged Untargeted Attack on Federated Recommendation via Gradient Perturbation and Cluster Crafting
Topic-based recommendations in enterprise social media sharing platforms
Trading-off among accuracy, similarity, diversity, and long-tail: a graph-based recommendation approach
Biased User History Synthesis for Personalized Long-Tail Item Recommendation
Deriving Item Features Relevance from Collaborative Domain Knowledge
Prototyping recommender systems in jcolibri
Online Food Recommendations: A Complex Problem?
Fair Augmentation for Graph Collaborative Filtering
Towards Robust Fairness-aware Recommendation
Latent Modeling of Unexpectedness for Recommendations
Should we embed?: a study on the online performance of utilizing embeddings for real-time job recommendations
Online evolutionary collaborative filtering
Towards a Recommender System for Undergraduate Research
Exploiting Performance Estimates for Augmenting Recommendation Ensembles
Do We Really Need Specialization? Evaluating Generalist Text Embeddings for Zero-Shot Recommendation and Search
Semi-supervised Sentiment Analysis for Under-Resourced Languages with a Sentiment Lexicon
Merging multiple criteria to identify suspicious reviews
Multi-Objective Recommendation: Overview and Challenges
KA-Recsys: Knowledge Appropriate Patient Focused Recommendation Technologies
Multimedia recommender systems
Multi-criteria journey aware housing recommender system
Denoising Self-Attentive Sequential Recommendation
A comparative analysis of offline and online evaluations and discussion of research paper recommender system evaluation
Pokedem: an Automatic Social Media Management Application
Hands on Explainable Recommender Systems with Knowledge Graphs
Harnessing the power of "favorites" lists for recommendation systems
An analysis of tag-recommender evaluation procedures
Negative Interactions for Improved Collaborative Filtering: Don't go Deeper, go Higher
Time slice imputation for personalized goal-based recommendation in higher education
Mining recommendations from the web
Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn)
Inspection Mechanisms for Community-based Content Discovery in Microblogs
Is Readability a Valuable Signal for Hashtag Recommendations?
Sustainability at scale: towards bridging the intention-behavior gap with sustainable recommendations
HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender Systems
A Nudge-based Recommender System Towards Responsible Online Socializing
In-context Learning for Addressing User Cold-start in Sequential Movie Recommenders
Personalized Image Generation for Recommendations Beyond Catalogs
Target-guided Knowledge-aware Recommendation Dialogue System: An Empirical Investigation (Long paper)
Investigating Mere-Presence Effects of Recommendations on the Consumer Choice Process
Trust-aware recommender systems
Concept to code: learning distributed representation of heterogeneous sources for recommendation
Rank and relevance in novelty and diversity metrics for recommender systems
Adaptive tradeoff explanations in conversational recommenders
Multiobjective Recommendation for Sustainable Production Systems
Recommending scientific articles using bi-relational graph-based iterative RWR
ExcUseMe: Asking Users to Help in Item Cold-Start Recommendations
Understanding choice overload in recommender systems
FutureView: Enhancing Exploratory Image Search
Online Recommender System for Personalized Nutrition Advice
Recommending improved configurations for complex objects with an application in travel planning
Semantic IDs for Music Recommendation
Poster Proceedings of the 9th ACM Conference on Recommender Systems, RecSys 2015, Vienna, Austria, September 16, 2015
Large-Scale Modeling of Mobile User Click Behaviors Using Deep Learning
Improving user profile with personality traits predicted from social media content
SEMORec: A Scalarized Efficient Multi-Objective Recommendation Framework
XMRec: Workshop on Cross-Market Recommendation
Input or Output: Effects of Explanation Focus on the Perception of Explainable Recommendation with Varying Level of Details
Enhancing Recommendation Quality of the SASRec Model by Mitigating Popularity Bias
Modeling Difficulty in Recommender Systems
The Demographics of Cool: Popularity and Recommender Performance for Different Groups of Users
Using AI to build communities around interests on LinkedIn
Exploring Cross-group Discrepancies in Calibrated Popularity for Accuracy/Fairness Trade-off Optimization
Proceedings of the 2nd Workshop on Recommenders in Tourism co-located with 11th ACM Conference on Recommender Systems (RecSys 2017), Como, Italy, August 27, 2017
Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems
A Stacking Ensemble Model for Prediction of Multi-type Tweet Engagements
RecSys Challenge 2015 and the YOOCHOOSE Dataset
Fairness and discrimination in recommendation and retrieval
Multi-Modal Dialog State Tracking for Interactive Fashion Recommendation
Fourth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS)
Tag Recommendations for SensorFolkSonomies
GreenFoodLens: Sustainability Labels for Food Recommendation
Don't recommend the obvious: estimate probability ratios
Reducing energy waste in households through real-time recommendations
CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation
Predicting online performance of job recommender systems with offline evaluation
Tailoring Recommendations for a Multi-Domain Environment
Fewer Flops at the Top: Accuracy, Diversity, and Regularization in Two-Class Collaborative Filtering
Local learning of item dissimilarity using content and link structure
On Inherited Popularity Bias in Cold-Start Item Recommendation
Nudging Grocery Shoppers to Make Healthier Choices
Towards User Profile-based Interfaces for Exploration of Large Collections of Items
Multi-Objective Blended Ensemble For Highly Imbalanced Sequence Aware Tweet Engagement Prediction
Recommeding Safe Actions by Learning from Sub-optimal Demonstrations
Hydra: an open framework for virtual-fusion of recommendation filters
Recommending what video to watch next: a multitask ranking system
Explainable Multi-Stakeholder Job Recommender Systems
Cosibon: an E-commerce like platform enabling bricks-and-mortar stores to use sophisticated product recommender systems
Exploiting FrameNet for Content-Based Book Recommendation
Extra: explaining team recommendation in networks
Beyond the top-N: algorithms that generate recommendations for self-actualization
The "top N" news recommender: count distortion and manipulation resistance
FR-FMSS: Federated Recommendation via Fake Marks and Secret Sharing
Beyond rating prediction accuracy: on new perspectives in recommender systems
BERT, ELMo, USE and InferSent Sentence Encoders: The Panacea for Research-Paper Recommendation?
How to improve the statistical power of the 10-fold cross validation scheme in recommender systems
RecSys Challenge 2023: Deep Funnel Optimization with a Focus on User Privacy
A Ranking Optimization Approach to Latent Linear Critiquing for Conversational Recommender Systems
How Do Users Perceive Recommender Systems' Objectives?
Gradient Matching for Categorical Data Distillation in CTR Prediction
Second Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022)
MARRS: A Framework for multi-objective risk-aware route recommendation using Multitask-Transformer
A parameter-free algorithm for an optimized tag recommendation list size
Station and Track Attribute-Aware Music Personalization
Scalable Recommender Systems: Where Machine Learning Meets Search
Deep Reinforcement Learning for Ranking Utility Tuning in the Ad Recommender System at Pinterest
Prompt-to-Slate: Diffusion Models for Prompt-Conditioned Slate Generation
Discovering Contextual Information from User Reviews for Recommendation Purposes
Focal: a personalized mobile news reader
A scalable, high-performance Algorithm for hybrid job recommendations
Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits
Augmenting Netflix Search with In-Session Adapted Recommendations
PITTCULT: trust-based cultural event recommender