yusuke1997/dblp-id-title huggingface dataset:
Exploiting temporal influence in online recommendation
Contextual and Sequential User Embeddings for Large-Scale Music Recommendation
List-wise learning to rank with matrix factorization for collaborative filtering
Short-form Video Needs Long-term Interests: An Industrial Solution for Serving Large User Sequence Models
An analysis of users' propensity toward diversity in recommendations
Building Public Service Recommenders: Logbook of a Journey
Recommending branded products from social media
Proceedings of the 18th ACM Conference on Recommender Systems, RecSys 2024, Bari, Italy, October 14-18, 2024
Controlling Personalized Recommendations in Two Dimensions with a Carousel-Based Interface
Unleash the Power of Context: Enhancing Large-Scale Recommender Systems with Context-Based Prediction Models
Δ-OPE: Off-Policy Estimation with Pairs of Policies
Diversity Exposure in Social Recommender Systems: A Social Capital Theory Perspective
Proceedings of the 3rd Workshop on Online Recommender Systems and User Modeling co-located with the 14th ACM Conference on Recommender Systems (RecSys 2020), Virtual Event, September 25, 2020
Proceedings of the 4th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2017), Como, Italy, August 27, 2017
Analysis of cold-start recommendations in IPTV systems
A pipelined hybrid recommender system for ranking the items on the display
Integrating broadcast and web video content into personal tv channels
Information-Controllable Graph Contrastive Learning for Recommendation
Transformers Meet ACT-R: Repeat-Aware and Sequential Listening Session Recommendation
Dual Attentional Higher Order Factorization Machines
Scalable Recommendation of Wikipedia Articles to Editors Using Representation Learning
Experience Discovery: hybrid recommendation of student activities using social network data
Moving beyond linearity and independence in top-N recommender systems
Workshop on information heterogeneity and fusion in recommender systems (HetRec 2010)
Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences
How Long to Stay Where? On the Amount of Item Consumption in Travel Recommendation
RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18 - 23, 2022
Why Are Deep Learning Models Not Consistently Winning Recommender Systems Competitions Yet?: A Position Paper
RecSys Challenge 2022: Fashion Purchase Prediction
The Role of Emotions in Context-aware Recommendation
On the Decaying Utility of News Recommendation Models
How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News
Fairness Matters: A look at LLM-generated group recommendations
Structural Diversity in Social Recommender Systems
Tied boltzmann machines for cold start recommendations
Using Wikipedia to boost collaborative filtering techniques
Team recommendation in open innovation networks
RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021 - 1 October 2021
Social ranking: uncovering relevant content using tag-based recommender systems
Recommending Personalized News in Short User Sessions
Rethinking Conventional Collaborative Filtering for Recommending Daily Fashion Outfits
Real-time top-n recommendation in social streams
Predicting Twitter Engagement With Deep Language Models
What to read next?: making personalized book recommendations for K-12 users
Theoretical Modeling of the Iterative Properties of User Discovery in a Collaborative Filtering Recommender System
Using self-defined group activities for improvingrecommendations in collaborative tagging systems
A simple multi-armed nearest-neighbor bandit for interactive recommendation
Roadscape-based Route Recommender System using Coarse-to-fine Route Search
Predicting Feature-based Similarity in the News Domain Using Human Judgments
OutRank: Speeding up AutoML-based Model Search for Large Sparse Data sets with Cardinality-aware Feature Ranking
Contextual Meta-Bandit for Recommender Systems Selection
Additive Co-Clustering with Social Influence for Recommendation
Topic-Level Bayesian Surprise and Serendipity for Recommender Systems
Recommender Systems for Product Bundling
A Multimodal System for Nonverbal Human Feature Recognition in Emotional Framework
PDMFRec: a decentralised matrix factorisation with tunable user-centric privacy
GPU Accelerated Boosted Trees and Deep Neural Networks for Better Recommender Systems
Yahoo! music recommendations: modeling music ratings with temporal dynamics and item taxonomy
Preference elicitation for narrowing the recommended list for groups
Interface Design to Mitigate Inflation in Recommender Systems
Proceedings of the 3rd Workshop on Human Decision Making in Recommender Systems in conjunction with the 7th ACM Conference on Recommender Systems (RecSys 2013), Hong Kong, China, October 12, 2013
Neighborhood-based Collaborative Filtering for Therapy Decision Support
A Recommender System for Informal Bibliotherapy
Concept to code: deep learning for multitask recommendation
A combination of simple models by forward predictor selection for job recommendation
Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications
Automatic Recommendations of Categories for Geospatial Entities
Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations
Power to the people: exploring neighbourhood formations in social recommender system
Public Service Media, Diversity and Algorithmic Recommendation: Tensions between Editorial Principles and Algorithms in European PSM Organizations
The Contextual Turn: from Context-Aware to Context-Driven Recommender Systems
Effectiveness of the data generated on different time in latent factor model
Exploiting Negative Preference in Content-based Music Recommendation with Contrastive Learning
Situation-aware trust management
Proceedings of the 1st Workshop on the Impact of Recommender Systems co-located with 13th ACM Conference on Recommender Systems, ImpactRS@RecSys 2019), Copenhagen, Denmark, September 19, 2019
Conversational Recommendation System with Unsupervised Learning
The Second Workshop on Generative AI for E-commerce
The Eleventh International Workshop on News Recommendation and Analytics (INRA'23)
A collaborative constraint-based meta-level recommender
Towards an Experimental News User Community as Infrastructure for Recommendation Research (abstract)
Sample selection for MCMC-based recommender systems
Location-Aware Recommendation Systems: Where We Are and Where We Recommend to Go
A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation
Non-parametric Graph Convolution for Re-ranking in Recommendation Systems
SeCor: Aligning Semantic and Collaborative Representations by Large Language Models for Next-Point-of-Interest Recommendations
Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication
Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation
Learning Choice Models for Simulating Users' Interactions with Recommender Systems
Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems
Proceedings of the 6th Workshop on Recommender Systems and the Social Web (RSWeb 2014) co-located with the 8th ACM Conference on Recommender Systems (RecSys 2014), Foster City, CA, USA, October 6, 2014
A Tutorial on Recent Advances in Generative Conversational Recommender Systems
Recommending the World's Knowledge: Application of Recommender Systems at Quora
Flow Moods: Recommending Music by Moods on Deezer
Cross-Domain Recommendation for Large-Scale Data
"We Share Our Code Online": Why This Is Not Enough to Ensure Reproducibility and Progress in Recommender Systems Research
3rd International Workshop on News Recommendation and Analytics (INRA 2015)
Partially Observable Reinforcement Learning for Dialog-based Interactive Recommendation
Recommendation-based modeling support for data mining processes
A Recommender System for Healthy and Personalized Recipes Recommendations
A Hybrid Strategy for Privacy-Preserving Recommendations for Mobile Shopping
Ratings in, rankings out. Keep it simple, they said. But we need more than that (Keynote)
A Comparative Analysis of Personality-Based Music Recommender Systems
Improving Group Recommendations using Personality, Dynamic Clustering and Multi-Agent MicroServices
The Influence of Users' Personality Traits on Satisfaction and Attractiveness of Diversified Recommendation Lists
Explainable Graph Neural Network Recommenders; Challenges and Opportunities
Running with Recommendation
Bayesian binomial mixture model for collaborative prediction with non-random missing data
Fifth Workshop on Recommender Systems for Human Resources (RecSys in HR 2025)
Personalized next-song recommendation in online karaokes
Alleviating the Long-Tail Problem in Conversational Recommender Systems
You Say Search, I Say Recs: A Scalable Agentic Approach to Query Understanding and Exploratory Search at Spotify
Do Users Matter? The Contribution of User-Driven Feature Weights to Open Dataset Recommendations
Recommendations in social media for brand monitoring
On Unexpectedness in Recommender Systems: Or How to Expect the Unexpected
Deep Exploration for Recommendation Systems
A Multi-Objective E-learning Recommender System at Mandarine Academy
Evaluating recommender behavior for new users
Evaluating Podcast Recommendations with Profile-Aware LLM-as-a-Judge
Context-aware recommender systems
Users psychological profiles for leisure activity recommendation: user study
Multi-stakeholder recommendations: case studies, methods and challenges
Interactive evaluation of recommender systems with SNIPER: an episode mining approach
Content-Based Cross-Domain Recommendations Using Segmented Models
A Jungian based framework for Artificial Personality Synthesis
Nonlinear Bandits Exploration for Recommendations
Pareto-Optimal Solution: Optimizing Engagement and Revenue
Ads and the city: considering geographic distance goes a long way
When Recommendation Systems Go Bad
Risk-Hedged Venture Capital Investment Recommendation
Compositional network embedding for link prediction
Predicting Workout Quality to Help Coaches Support Sportspeople
Latent Trajectory Modeling: A Light and Efficient Way to Introduce Time in Recommender Systems
30Music Listening and Playlists Dataset
Automatically building research reading lists
Challenges of Session-Aware Recommendation in E-Commerce
Augmented Negative Sampling for Collaborative Filtering
Gaze Prediction for Recommender Systems
Domain Disentanglement with Interpolative Data Augmentation for Dual-Target Cross-Domain Recommendation
Momentum-based Gradient Methods in Multi-Objective Recommendation
Recommendations for Live TV
Multi-corpus Personalized Recommendations on Google Play
PAL: a position-bias aware learning framework for CTR prediction in live recommender systems
Sliding Window Training - Utilizing Historical Recommender Systems Data for Foundation Models
Interactive Playlist Generation from Titles
Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning
Supporting product selection with query editing recommendations
Calibrated recommendations
Yambda-5B - A Large-Scale Multi-Modal Dataset for Ranking and Retrieval
Hands-on Reinforcement Learning for Recommender Systems - From Bandits to SlateQ to Offline RL with Ray RLlib
MAWI Rec: Leveraging Severe Weather Data in Recommendation
Personality-based recommender systems: an overview
Whose data traces, whose voices? Inequality in online participation and why it matters for recommendation systems research
Folding: Why Good Models Sometimes Make Spurious Recommendations
Music Emotion Recognition via End-to-End Multimodal Neural Networks
Keynote Abstract: Health Personalisation: From Wellbeing to Medicine
GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization
Leveling Up the Peloton Homescreen: A System and Algorithm for Dynamic Row Ranking
12th International Workshop on News Recommendation and Analytics (INRA'24)
Tourrec: a tourist trip recommender system for individuals and groups
Choicla: towards domain-independent decision support for groups of users
Putting recommendations on the map: visualizing clusters and relations
Workshop and challenge on news recommender systems
Reproducibility and Analysis of Scientific Dataset Recommendation Methods
Probabilistic collaborative filtering with negative cross entropy
RepSys: Framework for Interactive Evaluation of Recommender Systems
Matrix and Tensor Decomposition in Recommender Systems
EB-NeRD a large-scale dataset for news recommendation
Online multi-task collaborative filtering for on-the-fly recommender systems
Efficient privacy-preserving recommendations based on social graphs
Multiobjective Hyperparameter Optimization of Recommender Systems
The Exploration-Exploitation Trade-off in Interactive Recommender Systems
Workshop on Recommenders in Tourism (RecTour)
Xbox movies recommendations: variational bayes matrix factorization with embedded feature selection
MDSBR: Multimodal Denoising for Session-based Recommendation
Can Readability Enhance Recommendations on Community Question Answering Sites?
Bundle MCR: Towards Conversational Bundle Recommendation
A crowdsourcing triage algorithm for geopolitical event forecasting
STAR: Semiring Trust Inference for Trust-Aware Social Recommenders
Intent-Aware Diversification Using a Constrained PLSA
System U: automatically deriving personality traits from social media for people recommendation
Comparison of implicit and explicit feedback from an online music recommendation service
Knowledge infusion into content-based recommender systems
Baby Shark to Barracuda: Analyzing Children's Music Listening Behavior
Are We Explaining the Same Recommenders? Incorporating Recommender Performance for Evaluating Explainers
Alpenglow: Open Source Recommender Framework with Time-aware Learning and Evaluation
A Framework for Recommending Collections
Making Sense of the Urban Future: Recommendation Systems in Smart Cities
AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction
Word Embedding Techniques for Content-based Recommender Systems: An Empirical Evaluation
3rd Workshop on Recommendation Systems for Television and Online Video (RecSysTV 2016)
Context-based splitting of item ratings in collaborative filtering
A lightweight privacy preserving SMS-based recommendation system for mobile users
Inspectability and control in social recommenders
Enhancing Cross-Domain Recommender Systems with LLMs: Evaluating Bias and Beyond-Accuracy Measures
Who is talking about what: social map-based recommendation for content-centric social websites
"You Really Get Me": Conversational AI Agents That Can Truly Understand and Help Users
Proceedings of the Workshop on Recommendation in Complex Scenarios co-located with 13th ACM Conference on Recommender Systems (RecSys 2019), Copenhagen, Denmark, September 20, 2019
Switching hybrid for cold-starting context-aware recommender systems
How Fair is Your Diffusion Recommender Model?
An Industrial Framework for Personalized Serendipitous Recommendation in E-commerce
Recommenders In the wild - Practical Evaluation Methods
RecTour 2016: Workshop on Recommenders in Tourism
ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool
Beyond Labels: Leveraging Deep Learning and LLMs for Content Metadata
Using a trust network to improve top-N recommendation
Addressing uncertainty in implicit preferences
Explore, exploit, and explain: personalizing explainable recommendations with bandits
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity
Spotting trends: the wisdom of the few
RECON: a reciprocal recommender for online dating
First International Workshop on Data Quality-Aware Multimodal Recommendation (DaQuaMRec)
Towards Unified Metrics for Accuracy and Diversity for Recommender Systems
Towards Comparing Recommendation to Multiple-Query Search Sessions for Talent Search
Assessing Expertise in the Enterprise: The Recommender Point of View
Minimize Negative Experiences in Video Recommendation Systems with Multimodal Large Language Models
Large-scale recommendation for portfolio optimization
Leveraging Large Language Models for Sequential Recommendation
Quick and accurate attack detection in recommender systems through user attributes
Tutorial on using social trust for recommender systems
SASRec in Action: Real-World Adaptations for ZDF Streaming Service
Rethinking Subjective Features in Recommender Systems: Personal Views Over Aggregated Values
Using Explainability for Constrained Matrix Factorization
Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), Seattle, WA, USA, 18th-23rd September 2022
When recommenders fail: predicting recommender failure for algorithm selection and combination
Exploiting Item Dependencies to Improve Tourist Trip Recommendations
Spotivibes: Tagging Playlist Vibes with Colors
Informfully - Research Platform for Reproducible User Studies
Expert recommendation based on social drivers, social network analysis, and semantic data representation
Modeling Two-Way Selection Preference for Person-Job Fit
Content-based book recommendations: Personalised and explainable recommendations without the cold-start problem
Cross Domain Recommendation Using Vector Space Transfer Learning
Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks
Towards Source-Aligned Variational Models for Cross-Domain Recommendation
Music Playlist Recommendation via Preference Embedding
Stacking recommendation engines with additional meta-features
Heterogeneous Graph Representation Learning for multi-target Cross-Domain Recommendation
Recurrent Autoregressive Linear Model for Next-Basket Recommendation
Modeling Users and Items for Recommenders: There Is More than Semantics
RecSys Challenge 2025: Universal Behavioral Profiles for Recommender Systems
Towards Improving Top-N Recommendation by Generalization of SLIM
Job recommendation based on factorization machine and topic modelling
What We Evaluate When We Evaluate Recommender Systems: Understanding Recommender Systems' Performance using Item Response Theory
Informed Dataset Selection with 'Algorithm Performance Spaces'
Bayesian Low-Rank Determinantal Point Processes
Ask the GRU : Multi-task Learning for Deep Text Recommendations
Unified Survey Modeling to Limit Negative User Experiences in Recommendation Systems
A unified approach to building hybrid recommender systems
Towards Analogy-based Recommendation: Benchmarking of Perceived Analogy Semantics
Reflections on Recommender Systems: Past, Present, and Future (INTROSPECTIVES)
AI-assisted Coding with Cody: Lessons from Context Retrieval and Evaluation for Code Recommendations
Learning to rank for recommender systems
Cold-Start Item and User Recommendation with Decoupled Completion and Transduction
Recommender Systems from an Industrial and Ethical Perspective
Scale-Invariant Learning-to-Rank
ClusterExplorer: Enable User Control over Related Recommendations via Collaborative Filtering and Clustering
Towards Companion Recommenders Assisting Users' Long-Term Journeys
Recommending new movies: even a few ratings are more valuable than metadata
Complex-network theoretic clustering for identifying groups of similar listeners in p2p systems
Improving Media Content Recommendation with Automatic Annotations (Long paper)
Reviews Are Gold!? On the Link between Item Reviews and Item Preferences (Long paper)
Playlist Search Reinvented: LLMs Behind the Curtain
The keepup recommender system
Chemical Reactant Recommendation Using a Network of Organic Chemistry
Evaluation of an ontology-content based filtering method for a personalized newspaper
A Research Platform for Recommendation within Social Networks
Identifying Offline Metrics that Predict Online Impact: A Pragmatic Strategy for Real-World Recommender Systems
Coverage, redundancy and size-awareness in genre diversity for recommender systems
Attribute-aware non-linear co-embeddings of graph features
Overcoming Recommendation Limitations with Neuro-Symbolic Integration
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling
Contrastive Learning with Frequency-Domain Interest Trends for Sequential Recommendation
Proceedings of the 4th Workshop on Emotions and Personality in Personalized Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), Boston, MA, USA, September 16, 2016
Wide & Deep Learning for Recommender Systems
Parameter-Efficient Single Collaborative Branch for Recommendation
Understanding How People Use Natural Language to Ask for Recommendations
Recommender systems challenge 2014
FAccTRec 2021: The 4th Workshop on Responsible Recommendation
MLoRA: Multi-Domain Low-Rank Adaptive Network for CTR Prediction
Comparative Analysis of Pretrained Audio Representations in Music Recommender Systems
Simulation-Based Evaluation of Interactive Recommender Systems
Accuracy and Diversity in Cross-domain Recommendations for Cold-start Users with Positive-only Feedback
How Can I Help You? Knowledge Graphs for Explainable Recommendation (Abstract)
How to Survive Dynamic Pricing Competition in E-commerce
You Say Factorization Machine, I Say Neural Network - It's All in the Activation
A Hands-on Dive Into Quantum Computing for Recommender Systems
Alternating least squares for personalized ranking
KGGLM: A Generative Language Model for Generalizable Knowledge Graph Representation Learning in Recommendation
DataHunter: A System for Finding Datasets Based on Scientific Problem Descriptions
Towards Explanations for Visual Recommender Systems of Artistic Images
Towards Recommender Systems with Community Detection and Quantum Computing
Distribution-based Learnable Filters with Side Information for Sequential Recommendation
The Idiosyncratic Effects of Adversarial Training on Bias in Personalized Recommendation Learning
Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets
An Adaptive Electronic Menu System for Restaurants
BlurM(or)e: Revisiting Gender Obfuscation in the User-Item Matrix
Increasing the Trustworthiness of Recommendations by Exploiting Social Media Sources
Aspect-based opinion mining and recommendationsystem for restaurant reviews
MOCHI: an Offline Evaluation Framework for Educational Recommendations
Smart Targeting: A Relevance-driven and Configurable Targeting Framework for Advertising System
AI-based Human-Centered Recommender Systems: Empirical Experiments and Research Infrastructure
When Fairness meets Bias: a Debiased Framework for Fairness aware Top-N Recommendation
RecTour 2019: workshop on recommenders in tourism
10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'23)
Recommending twitter users to follow using content and collaborative filtering approaches
Semi-Supervised Visual Representation Learning for Fashion Compatibility
Towards Personality-Aware Explanations for Music Recommendations Using Generative AI
Learning Users' Preferred Visual Styles in an Image Marketplace
Fourth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS 2022)
Automatic Selection of Linked Open Data Features in Graph-based Recommender Systems
gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling
Toward the Next Generation of News Recommender Systems (Abstract)
Goal-Oriented Multi-Modal Interactive Recommendation with Verbal and Non-Verbal Relevance Feedback
Proceedings of International Workshop on Citizens for Recommender Systems, CitRec@RecSys 2017, 31 August 2017, Como, Italy
Asymmetric Bayesian personalized ranking for one-class collaborative filtering
Incentivizing Exploration in Linear Contextual Bandits under Information Gap