yusuke1997/dblp-id-title huggingface dataset:
SemRevRec: A Recommender System based on User Reviews and Linked Data
Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'21)
GenUI(ne) CRS: UI Elements and Retrieval-Augmented Generation in Conversational Recommender Systems with LLMs
Online learning to rank for sequential music recommendation
An independent platform for the monitoring, analysis and adaptation of web sites
Contrasting Offline and Online Results when Evaluating Recommendation Algorithms
Ontology-based web service to recommend spare time activities
Emotion Elicitation in Socially Intelligent Services: the Intelligent Typing Tutor Study Case
How algorithmic confounding in recommendation systems increases homogeneity and decreases utility
Accordion: A Trainable Simulator forLong-Term Interactive Systems
Mood-Sensitive Truth Discovery For Reliable Recommendation Systems in Social Sensing
Testing a recommender system for self-actualization
FairCRS: Towards User-oriented Fairness in Conversational Recommendation Systems
RecSys 2021 Tutorial on Conversational Recommendation: Formulation, Methods, and Evaluation
Proceedings of the Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, IntRS 2015, co-located with ACM Conference on Recommender Systems (RecSys 2015), Vienna, Austria, September 19, 2015
Item Recommendation with Variational Autoencoders and Heterogeneous Priors
Anytime algorithms for top-N recommenders
Balanced Public Service Media Recommendation Trade-offs with a Light Carbon Footprint
Recommendation in Persuasive eHealth Systems: an Effective Strategy to Spot Users' Losing Motivation to Exercise
A Travel Recommender System for Combining Multiple Travel Regions to a Composite Trip
TasteWeights: a visual interactive hybrid recommender system
Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders
Sixth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS)
Getting recommender systems to think outside the box
Proceedings of the 2nd Workshop on Human Decision Making in Recommender Systems, Dublin, Ireland, September 9, 2012
Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions
How does the User's Knowledge of the Recommender Influence their Behavior?
Translating the Public Service Media Remit into Metrics and Algorithms
Self-Supervised Bot Play for Transcript-Free Conversational Recommendation with Rationales
Deviation-based and similarity-based contextual SLIM recommendation algorithms
Feature Selection For Human Recommenders
Learning Binary Preference Relations: A Comparison of Logic-based and Statistical Approaches
Explainable and Faithful Educational Recommendations through Causal Language Modelling via Knowledge Graphs
A Ranked Bandit Approach for Multi-stakeholder Recommender Systems
An Analysis of Learned Product Embeddings in an E-Commerce Context
Automatic Playlist Continuation using Subprofile-Aware Diversification
A Scalable Approach for Periodical Personalized Recommendations
Constraint-Aware Recommendation of Complex Items (Long paper)
LOGO: a long-short user interest integration in personalized news recommendation
Rethinking the recommender research ecosystem: reproducibility, openness, and LensKit
Progressive Horizon Learning: Adaptive Long Term Optimization for Personalized Recommendation
TAPER: A Contextual Tensor-Based Approach for Personalized Expert Recommendation
Matrix co-factorization for recommendation with rich side information and implicit feedback
HybridRank: A Hybrid Content-Based Approach To Mobile Game Recommendations
Deep generative ranking for personalized recommendation
Sampling-bias-corrected neural modeling for large corpus item recommendations
LensKit: a modular recommender framework
Fair and Transparent Recommender Systems for Advertisements
Self-Attentive Sequential Recommendations with Hyperbolic Representations
From preference into decision making: modeling user interactions in recommender systems
Homepage personalization at spotify
Location Matters: Leveraging Multi-Resolution Geo-Embeddings for Housing Search
SSE-PT: Sequential Recommendation Via Personalized Transformer
VideoRecSys + LargeRecSys 2024
Long Term Recommender Benchmarking for Mobile Shopping List Applications using Markov Chains
Everyone's a Winner! On Hyperparameter Tuning of Recommendation Models
Toward identification and adoption of best practices in algorithmic recommender systems research
The sixth ACM RecSys workshop on recommender systems and the social web
Musical recommendations and personalization in a social network
Scaling Generative Recommendations with Context Parallelism on Hierarchical Sequential Transducers
Personalized recommendation of social software items based on social relations
The Effect of Random Seeds for Data Splitting on Recommendation Accuracy
Unifying nearest neighbors collaborative filtering
User effort vs. accuracy in rating-based elicitation
A Multi-criteria Recommender System Exploiting Aspect-based Sentiment Analysis of Users' Reviews
Personalised Outfit Recommendations: Use Cases, Challenges and Opportunities
DiRec: A Distributed User Interface Video Recommender
UTA-Rec: a recommender system based on multiple criteria analysis
Differential data analysis for recommender systems
Efficient top-n recommendation for very large scale binary rated datasets
Proceedings of the 2008 ACM Conference on Recommender Systems, RecSys 2008, Lausanne, Switzerland, October 23-25, 2008
EARL: Workshop on Evaluating and Applying Recommendation Systems with Large Language Models
Personalised and dynamic trust in social networks
Extracting User Preferences and Personality from Text for Restaurant Recommendation
Exploiting Popularity and Similarity for Link Recommendation in Twitter Networks
A Cross-Cultural Analysis of Explanations for Product Reviews
Ensuring Fairness in Group Recommendations by Rank-Sensitive Balancing of Relevance
Exploration with Model Uncertainty at Extreme Scale in Real-Time Bidding
Unified Denoising Training for Recommendation
OSMRec Tool for Automatic Recommendation of Categories on Spatial Entities in OpenStreetMap
RecSys'17 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems
On the Need for a Body of Knowledge on Recommender Systems (Short paper)
Country-diverted experiments for mitigation of network effects
ProtoMF: Prototype-based Matrix Factorization for Effective and Explainable Recommendations
Zillow: Volume Governing for Email and Push Messages
Who do you think I am? Interactive User Modelling with Item Metadata
Deep Bayesian Bandits: Exploring in Online Personalized Recommendations
Collaborative prediction and ranking with non-random missing data
Improving Social Recommendations by applying a Personalized Item Clustering Policy
CB2CF: a neural multiview content-to-collaborative filtering model for completely cold item recommendations
Evaluating Tag Recommender Algorithms in Real-World Folksonomies: A Comparative Study
Tutorial on preference handling
Enhancing Gazetteers for Named Entity Recognition in Conversational Recommender Systems (Long paper)
Choosing attribute weights for item dissimilarity using clikstream data with an application to a product catalog map
Evaluating top-n recommendations "when the best are gone"
Recommender Systems and the New New Economics of Information
Improving recommender systems: user roles and lifecycles
User Modeling and Churn Prediction in Over-the-top Media Services
Guided Exploration of the Domain Space of Study Programs - Recommenders in Improving Student Awareness on the Choices Made during Enrollment
CPR: Collaborative Pairwise Ranking for Online List Recommendations
Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), Como, Italy, August 28, 2017
Case Study on the Development of a Recommender for Apple Disease Diagnosis with a Knowledge-based Bayesian Network (Long paper)
LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders
Tip Ranker: A M.L. Approach to Ranking Short Reviews
Multi Cross Domain Recommendation Using Item Embedding and Canonical Correlation Analysis
Timely Tip Selection for Foursquare Recommendations
On-demand set-based recommendations
Unboxing the Algorithm: Designing an Understandable Algorithmic Experience in Music Recommender Systems
Learning to Measure Quality of Queries for Automatic Query Suggestion
ComplexRec 2020: Workshop on Recommendation in Complex Environments
Proceedings of the 9th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), Hybrid Event, Seattle, US, September 22, 2022
Third workshop on recommendation in complex scenarios (ComplexRec 2019)
Not Just What, But When: Integrating Irregular Intervals to LLM for Sequential Recommendation
Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations
Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives
Causal Inference for Recommender Systems
Social media-driven news personalization
Selecting Gestural User Interaction Patterns for Recommender Applications on Smartphones
Proceedings of the Eleventh ACM Conference on Recommender Systems, RecSys 2017, Como, Italy, August 27-31, 2017
Proximity-Based Educational Recommendations: A Multi-Objective Framework
Workshop on Context-Aware Recommender Systems (CARS) 2021
The Effectiveness of Advice Solicitation and Social Peers in an Energy Recommender System
Bridging Viewpoints in News with Recommender Systems
The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems
Online ranking combination
Learning-to-Rank in Research Paper CBF recommendation: Leveraging Irrelevant Papers
User Long-Term Multi-Interest Retrieval Model for Recommendation
Cascading Hybrid Bandits: Online Learning to Rank for Relevance and Diversity
Incorporating intent propensities in personalized next best action recommendation
Investigating Listeners' Responses to Divergent Recommendations
How does high dimensionality affect collaborative filtering?
Recommendations as Graph Explorations
Beyond clicks: dwell time for personalization
Tutorial on evaluating recommender systems
Dynamic Poisson Factorization
Tutorial: Feature Engineering for Recommender Systems
Investigating the Impact of Audio States & Transitions for Track Sequencing in Music Streaming Sessions
Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web, RSWeb '12, Dublin, Ireland, September 9, 2012
Listener-Inspired Automated Music Playlist Generation
Discerning Canonical User Representation for Cross-Domain Recommendation
Query-driven context aware recommendation
CNARe: Co-authorship Networks Analysis and Recommendations
Controlling Popularity Bias in Learning-to-Rank Recommendation
A recursive prediction algorithm for collaborative filtering recommender systems
Top-N Recommendation for Shared Accounts
Proceedings of the Fifth ACM RecSys Workshop on Recommender Systems and the Social Web co-located with the 7th ACM Conference on Recommender Systems (RecSys 2013), Hong Kong, China, October 13, 2013
Zero-shot Cross-domain Knowledge Distillation: A Case study on YouTube Music
GPU Accelerated Feature Engineering and Training for Recommender Systems
Causal embeddings for recommendation
A heterogeneous graph-based recommendation simulator
From Clicks to Carbon: The Environmental Toll of Recommender Systems
Variational low rank multinomials for collaborative filtering with side-information
Keynote Abstract: Inspiring Healthy Habits: Data Science at WW
Recsys'18 joint workshop on interfaces and human decision making for recommender systems
Using canonical correlation analysis for generalized sentiment analysis, product recommendation and search
How Powerful are LLMs to Support Multimodal Recommendation? A Reproducibility Study of LLMRec
CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation
Knowledge Graph-based Weighting Strategies for a Scholarly Paper Recommendation Scenario
Exploratory and interactive daily deals recommendation
CHAMELEON: a deep learning meta-architecture for news recommender systems
Hypothesis Testing: How to Eliminate Ideas as Soon as Possible
Kernalized Collaborative Contextual Bandits
Multi-Armed Bandits in the Wild
Proactive Recommendation Delivery
Survey of User Profiling in News Recommender Systems
Modeling item selection and relevance for accurate recommendations: a bayesian approach
Personality Traits and Music Genre Preferences: How Music Taste Varies Over Age Groups
An Exploration of Sentence-Pair Classification for Algorithmic Recruiting
DLRS 2017: Second Workshop on Deep Learning for Recommender Systems
Shared Neural Item Representations for Completely Cold Start Problem
Powering Content Discovery through Scalable, Realtime Profiling of Users' Content Preferences
MultiRec: A Multi-Relational Approach for Unique Item Recommendation in Auction Systems
Personalizing tags: a folksonomy-like approach for recommending movies
Values of User Exploration in Recommender Systems
Exploring Eating Behaviours Modelling for User Clustering
Denoising Explicit Social Signals for Robust Recommendation
Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation
Complements and Substitutes in Product Recommendations: The Differential Effects on Consumers' Willingness-to-pay
RecSysOps: Best Practices for Operating a Large-Scale Recommender System
Beyond "Hitting the Hits": Generating Coherent Music Playlist Continuations with the Right Tracks
A (Persuasive?) Speech on Automated Persuasion
Deep Learning from Logged Interventions
Information market based recommender systems fusion
EANA: Reducing Privacy Risk on Large-scale Recommendation Models
Learning to rank hotels for search and recommendation from session-based interaction logs and meta data
Fairness Explanations in Recommender Systems
Swarming to rank for recommender systems
Efficient Off-Policy Evaluation of Content Blending in Station-Based Music Experiences
Exploratory Methods for Evaluating Recommender Systems
EasyStudy: Framework for Easy Deployment of User Studies on Recommender Systems
Defining and Supporting Narrative-driven Recommendation
Location-aware music recommendation using auto-tagging and hybrid matching
Tutorial on cross-domain recommender systems
A Constrained Optimization Approach for Calibrated Recommendations
An Ontology-based Knowledgebase for User Profile and Garment Features in Apparel Recommender Systems
Group-based recipe recommendations: analysis of data aggregation strategies
Learning the True Objectives of Multiple Tasks in Sequential Behavior Modeling
Context and Attribute-Aware Sequential Recommendation via Cross-Attention
Online-updating regularized kernel matrix factorization models for large-scale recommender systems
Proceedings of the 7th International Workshop on News Recommendation and Analytics in conjunction with 13th ACM Conference on Recommender Systems, INRA@RecSys 2019, Copenhagen, Denmark, September 20, 2019
Exploring False Hard Negative Sample in Cross-Domain Recommendation
Leveraging Emotion Features in News Recommendations
MobHinter: epidemic collaborative filtering and self-organization in mobile ad-hoc networks
The Tourist Trip Design Problem with POI Categories via an Expectation-Maximization Based Method
An Evaluation of Recommendation Algorithms for Online Recipe Portals
DualDiv: diversifying items and explanation styles in explainable hybrid recommendation
Multi-Agentic Recommender Systems: Foundations, Design Patterns, and E-Commerce Applications - An Industrial Tutorial
Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 13th ACM Conference on Recommender Systems(RecSys 2019), Copenhagen, Denmark, September 19, 2019
Workshop on recommendation utility evaluation: beyond RMSE - RUE 2012
Learning Dynamic Insurance Recommendations from Users' Click Sessions
Fostering Knowledge Exchange Using Group Recommendations
The role of preference consistency, defaults and musical expertise in users' exploration behavior in a genre exploration recommender
Mixed methods for evaluating user satisfaction
Deep language-based critiquing for recommender systems
Five E's: reflecting on the design of recommendations
Exploiting Socio-Economic Models for Lodging Recommendation in the Sharing Economy
Generation of Hints to Overcome Difficulty in Operating Interactive Recommender Systems
Genre Prediction to Inform the Recommendation Process
DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems
Combining text summarization and aspect-based sentiment analysis of users' reviews to justify recommendations
Proceedings of the Second Workshop on Online Misinformation- and Harm-Aware Recommender Systems co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), Virtual Event, Amsterdam, The Netherlands, October 2, 2021
Large Language Model-based Recommendation System Agents
Suggest, Complement, Inspire: Story of Two-Tower Recommendations at Allegro.com
Hybrid Collaboration Recommendation from Bibliometric Data - the Medical Technology Perspective
Exploring the Semantic Gap for Movie Recommendations
Meta Off-Policy Estimation
Can people collaborate to improve the relevance of search results?
Geolocated movie recommendations based on expert collaborative filtering
Encouraging Exploration in Spotify Search through Query Recommendations
Reproducibility of LLM-based Recommender Systems: the Case Study of P5 Paradigm
Matrix Factorization for Collaborative Filtering Is Just Solving an Adjoint Latent Dirichlet Allocation Model After All
Information Interactions in Outcome Prediction: Quantification and Interpretation using Stochastic Block Models
An Elementary View on Factorization Machines
Applications of the conjugate gradient method for implicit feedback collaborative filtering
MyMediaLite: a free recommender system library
Tuning Word2vec for Large Scale Recommendation Systems
Recommendation Applications and Systems at Electronic Arts
Discovering What You're Known For: A Contextual Poisson Factorization Approach
Personalized Catch-up & DVR: VOD or Linear, That is the Question
Incremental Multi-Dimensional Recommender Systems: Co-Factorization vs Tensors
A combination of classification based methods for recommending tweets
PodRecs: Workshop on Podcast Recommendations
Improving the Trustworthiness of Recommendations in Collaborative Filtering under the Belief Function Framework
Knowledge-aware Autoencoders for Explainable Recommender Systems
Personalized diffusions for top-n recommendation
Trust-based local and social recommendation
Recommending structure in collaborative semistructured information systems
Abstract: A Common Misassumption in Online Experiments with Machine Learning Models
Replicable Evaluation of Recommender Systems
On Evaluating Session-Based Recommendation with Implicit Feedback
A Multi-Stakeholder Recommender System for Rewards Recommendations
pGPA: a personalized grade prediction tool to aid student success
Recommendation of High Quality Representative Reviews in e-commerce
Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation
Breaking out of the box of recommendations: from items to packages
Workshop on Recommenders in Tourism (RecTour) 2025
Optimal Delivery with Budget Constraint in E-Commerce Advertising
A Multi-modal Modeling Framework for Cold-start Short-video Recommendation
Recommender Systems for Personalized User Experience: Lessons learned at Booking.com
How can they know that?: a study of factors affecting the creepiness of recommendations
3rd workshop on recommender systems and the social web
To Explain or not to Explain: the Effects of Personal Characteristics when Explaining Feature-based Recommendations in Different Domains
Recommending with an agenda: active learning of private attributes using matrix factorization
Context-Aware User-Driven News Recommendation
kNN CF: a temporal social network
Investigating Multimodal Features for Video Recommendations at Globoplay
Predicting user routines with masked dilated convolutions
The fifth ACM RecSys workshop on recommender systems and the social web
How Playlist Evaluation Compares to Track Evaluations in Music Recommender Systems
How to Effectively Identify and Communicate Person-Targeting Media Bias in Daily News Consumption? (short paper)
Generalizing matrix factorization through flexible regression priors
Challenges on Evaluating Venue Recommendation Approaches: Position Paper
Automate Page Layout Optimization: An Offline Deep Q-Learning Approach
Turning Dross Into Gold Loss: is BERT4Rec really better than SASRec?
Flexible recommendations over rich data
The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems
Mapping Stakeholder Needs to Multi-Sided Fairness in Candidate Recommendation for Algorithmic Hiring
Toward the exploitation of social access patterns for recommendation
Optimizing multiple objectives in collaborative filtering
Beyond friendship: the art, science and applications of recommending people to people in social networks
User Engagement Modeling with Deep Learning and Language Models
TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems
Statistical attack detection
Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions
Group Recommender Systems in Tourism: From Predictions to Decisions
User Feedback in Controllable and Explainable Social Recommender Systems: a Linguistic Analysis
Flights Pricelock Fee Recommendation on Online Travel Agent Platform
Discovery Dynamics: Leveraging Repeated Exposure for User and Music Characterization
Developing Work in Confidence, Similarity Structure, and Modeling User Event Time
An open framework for multi-source, cross-domain personalisation with semantic interest graphs
Interpretable Contextual Team-aware Item Recommendation: Application in Multiplayer Online Battle Arena Games
Inferring user interests in the Twitter social network
Picture-based navigation for diagnosing post-harvest diseases of apple
Online Daters' Willingness to Use Recommender Technology for Mate Selection Decisions
The influence of personal values on music taste: towards value-based music recommendations
Towards scalable and accurate item-oriented recommendations
Accelerating recommender system training 15x with RAPIDS
Anchoring effects of recommender systems
MAPS: A Multi Aspect Personalized POI Recommender System
Recommending a Sequence of Points of Interest to a Group of Users in a Mobile Context
A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation Models
Will recommenders kill search?: recommender systems - an industry perspective
It's Not You, It's Me: The Impact of Choice Models and Ranking Strategies on Gender Imbalance in Music Recommendation
Proceedings of the 3rd International Workshop on News Recommendation and Analytics (INRA 2015) co-located with 9th ACM Conference on Recommender Systems (RecSys 2015), Vienna, Austria, September 20, 2015
Network-Based Extension of Multi-Relational Factorization Models
Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping
Incremental probabilistic latent semantic analysis for automatic question recommendation
Recommendation of Shopping Places based on Social and Geographical Influences
Generating transparent, steerable recommendations from textual descriptions of items
Personalized Symptom Checker Using Medical Claims
Multi-criteria service recommendation based on user criteria preferences
Interaction Design in a Mobile Food Recommender System
Search the web x.0: mining and recommending web-mediated processes
From Recordings to Recommendations: Suggesting Live Events in the DVR Context
4 Reasons Why Social Media Make Us Vulnerable to Manipulation
A Motivation-Aware Approach for Point of Interest Recommendations
Connecting Students with Research Advisors Through User-Controlled Recommendation
Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models