yusuke1997/dblp-id-title huggingface dataset:
Probabilistic Modeling, Learnability and Uncertainty Estimation for Interaction Prediction in Movie Rating Datasets
Recommenders for the enterprise: event, contact, and group
Recommender System Incorporating User Personality Profile through Analysis of Written Reviews
Using Social Data for Personalizing Review Rankings
Cross-Document Search Engine For Book Recommendation
Assessment of conversation co-mentions as a resource for software module recommendation
Revisiting revisits in trajectory recommendation
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation
Deploying a Cost-Effective and Production-Ready Deep News Recommender System in the Media Crisis Context
Not All Impressions Are Created Equal: Psychology-Informed Retention Optimization for Short-Form Video Recommendation
Towards the next generation of multi-criteria recommender systems
Blockbusters and Wallflowers: Accurate, Diverse, and Scalable Recommendations with Random Walks
Providing Explainable Race-Time Predictions and Training Plan Recommendations to Marathon Runners
The 3A contextual ranking system: simultaneously recommending actors, assets, and group activities
Measuring operational quality of recommendations: industry talk abstract
Machine learned job recommendation
Item Familiarity Effects in User-Centric Evaluations of Recommender Systems
Overview of the Workshop on Recommendation in Complex Scenarios 2019 (ComplexRec 2019)
Dynamics of human trust in recommender systems
Drug Discovery as a Recommendation Problem: Challenges and Complexities in Biological Decisions
Revisiting the Performance of iALS on Item Recommendation Benchmarks
Adversarial attacks on an oblivious recommender
ReDyAl: A Dynamic Recommendation Algorithm based on Linked Data
Attentive neural architecture incorporating song features for music recommendation
Towards a Taxonomy of User Feedback Intents for Conversational Recommendations
Solving RecSys Challenge 2015 by Linear Models, Gradient Boosted Trees and Metric Optimization
Practical Lessons from Developing a Large-Scale Recommender System at Zalando
Conversational content discovery via comcast X1 voice interface
ORSUM - Workshop on Online Recommender Systems and User Modeling
Collaborative filtering with collective training
Proceedings of the Workshop on the Practical Use of Recommender Systems, Algorithms and Technologies, PRSAT 2010, Barcelona, Spain, September 30, 2010
Consistent Explainers or Unreliable Narrators? Understanding LLM-generated Group Recommendations
The trinity of luxury fashion recommendations: data, experts and experimentation
Self-Auxiliary Distillation for Sample Efficient Learning in Google-Scale Recommenders
Accelerating Creator Audience Building through Centralized Exploration
RobustRecSys @ RecSys2024: Design, Evaluation and Deployment of Robust Recommender Systems
A Common Approach for Consumer and Provider Fairness in Recommendations
Latent multi-criteria ratings for recommendations
The Impacts of Primacy/Recency Effects on Item Review Sentiment Analysis
Using Visualizations to Encourage Blind-Spot Exploration
Recommender systems for the conference paper assignment problem
Robust collaborative filtering
Conversational Recommendations for Job Recruiters (Long paper)
Exploring Unlearning Methods to Ensure the Privacy, Security, and Usability of Recommender Systems
An approach to situational market segmentation on on-line newspapers based on current tasks
Recommender Systems in the Internet of Talking Things (IoTT)
Not One News Recommender To Fit Them All: How Different Recommender Strategies Serve Various User Segments
Multi-value probabilistic matrix factorization for IP-TV recommendations
Improving One-class Recommendation with Multi-tasking on Various Preference Intensities
Proceedings of the RecSys 2017 Workshop on Recommendation in Complex Scenarios co-located with 11th ACM Conference on Recommender Systems (RecSys 2017), Como, Italy, August 31, 2017
A Diversity Adjusting Strategy with Personality for Music Recommendation
Proceedings of the 3rd Workshop on New Trends in Content-Based Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), Boston, MA, USA, September 16, 2016
Conversational Recommender System Using Deep Reinforcement Learning
Auto-Surprise: An Automated Recommender-System (AutoRecSys) Library with Tree of Parzens Estimator (TPE) Optimization
Data Pruning in Recommender Systems Research: Best-Practice or Malpractice?
Learning a Voice-based Conversational Recommender using Offline Policy Optimization
Providing explanations for recommendations in reciprocal environments
Putting Popularity Bias Mitigation to the Test: A User-Centric Evaluation in Music Recommenders
An Application of Causal Bandit to Content Optimization
Privacy Risks of LLM-Empowered Recommender Systems: An Inversion Attack Perspective
Utilising document content for tag recommendation in folksonomies
Leave No One Behind: Fairness-Aware Cross-Domain Recommender Systems for Non-Overlapping Users
User data distributed on the social web: how to identify users on different social systems and collecting data about them
Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), Copenhagen, Denmark, September 20, 2019
PRISM: From Individual Preferences to Group Consensus through Conversational AI-Mediated and Visual Explanations
Health-aware Food Recommender System
Critique graphs for catalogue navigation
Applying relevant set correlation clustering to multi-criteria recommender systems
Spectral collaborative filtering
Goal-driven Command Recommendations for Analysts
Right Tool, Right Job: Recommendation for Repeat and Exploration Consumption in Food Delivery
OHARS: Second Workshop on Online Misinformation- and Harm-Aware Recommender Systems
Computational Methods for Designing Human-Centered Recommender Systems: A Case Study Approach Intersecting Visual Arts and Healthcare
"More to Read" at the Los Angeles Times: Solving a Cold Start Problem with LLMs to Improve Story Discovery
An Online Experiment of a Price-Based Re-Rank Algorithm
Preference Mapping for Automated Recommendation of Product Attributes for Designing Marketing Content
Personalizing Peloton: Combining Rankers and Filters To Balance Engagement and Business Goals
Recommendations for the Recommenders: Reflections on Prioritizing Diversity in the RecSys Challenge
Finding a needle in a haystack of reviews: cold start context-based hotel recommender system
Workshop on Recommenders in Tourism (RecTour) 2023
"My AI must have been broken": How AI Stands to Reshape Human Communication
Leveraging post-click feedback for content recommendations
What if Interactive Explanation in a Scientific Literature Recommender System
Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation
Building Recommender Systems for Fashion: Industry Talk Abstract
✨ Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations
A Secure Shopping Experience Based on Blockchain and Beacon Technology
Recommending based on rating frequencies
Latent Context-Aware Recommender Systems
Recommender Systems for the People - Enhancing Personalization in Web Augmentation
Repeated Padding for Sequential Recommendation
Recommender Systems and Misinformation: The Problem or the Solution?
Making the Most of Preference Feedback by Modeling Feature Dependencies
EMPIRE 2015: Workshop on Emotions and Personality in Personalized Systems
Generic Automated Lead Ranking in Dynamics CRM
Next Basket Recommendation with Neural Networks
Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation
Translation-based factorization machines for sequential recommendation
Combining Collaborative Filtering and Search Engine into Hybrid News Recommendations
Rating aggregation in collaborative filtering systems
Get me the best: predicting best answerers in community question answering sites
Design and user issues in personality-based recommender systems
Addressing Cold Start for Next-song Recommendation
E-commerce Recommendation with Personalized Promotion
Generating comparative descriptions of places of interest in the tourism domain
FinRec: The 3rd International Workshop on Personalization & Recommender Systems in Financial Services
Eliciting Emotions in Design of Games - a Theory Driven Approach
Predicting Online Performance of News Recommender Systems Through Richer Evaluation Metrics
Proceedings of the Workshop on Recommenders in Tourism co-located with 10th ACM Conference on Recommender Systems (RecSys 2016), Boston, MA, USA, September 15, 2016
A Unified Graph Transformer for Overcoming Isolations in Multi-modal Recommendation
Semantic IDs for Joint Generative Search and Recommendation
Cross-lingual keyword recommendation using latent topics
Content Driven User Profiling for Comment-Worthy Recommendations of News and Blog Articles
RecSys Challenge 2021: Proceedings of the Recommender Systems Challenge 2021, Amsterdam, The Netherlands, 1 October 2021
Recommending social cohesion
The Importance of Song Context in Music Playlists
Towards Diverse Recommendation
Knowledge-Based Recommendations for Climbers (Short paper)
Collaborative filtering via euclidean embedding
Personality Bias of Music Recommendation Algorithms
2nd workshop on recommender systems and the social web
Factorization vs. regularization: fusing heterogeneous social relationships in top-n recommendation
Robust recommender systems
Closing the Online-Offline Gap: A Scalable Framework for Composed Model Evaluation
Making Smart Recommendations for Perishable and Stockout Products
Recommendation on Live-Streaming Platforms: Dynamic Availability and Repeat Consumption
On over-specialization and concentration bias of recommendations: probabilistic neighborhood selection in collaborative filtering systems
Hidden factors and hidden topics: understanding rating dimensions with review text
Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems, HetRec '11, Chicago, Illinois, USA, October 27, 2011
Evaluation and simplification of text difficulty using LLMs in the context of recommending texts in French to facilitate language learning
Transparently Serving the Public: Enhancing Public Service Media Values through Exploration
Coupled or Decoupled Evaluation for Group Recommendation Methods?
Context-aware music recommendation based on latenttopic sequential patterns
Challenge on context-aware movie recommendation: CAMRa2011
Towards Multi-Language Recipe Personalisation and Recommendation
Distributed rating prediction in user generated content streams
Extended Recommendation Framework: Generating the Text of a User Review as a Personalized Summary
How Do Different Levels of User Control Affect Cognitive Load and Acceptance of Recommendations?
Privacy-Preserving Social Recommendation: Privacy Leakage and Countermeasure
Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space
SPARE: Shortest Path Global Item Relations for Efficient Session-based Recommendation
Personalized Recommendations using Knowledge Graphs: A Probabilistic Logic Programming Approach
FAccTRec 2022: The 5th Workshop on Responsible Recommendation
Context adaptation in interactive recommender systems
Debiased Explainable Pairwise Ranking from Implicit Feedback
Topical Semantic Recommendations for Auteur Films
Multi-Step Critiquing User Interface for Recommender Systems
MED-StyleR: METABO diabetes-lifestyle recommender
A Probabilistic Position Bias Model for Short-Video Recommendation Feeds
Seventh ACM Conference on Recommender Systems, RecSys '13, Hong Kong, China, October 12-16, 2013
Semantics-aware Content-based Recommender Systems
Uncovering Systematic Bias in Ratings across Categories: a Bayesian Approach
Conducting user experiments in recommender systems
Optimal radio channel recommendations with explicit and implicit feedback
Stability of Explainable Recommendation
V-Elliot: Design, Evaluate and Tune Visual Recommender Systems
Revisiting Adversarially Learned Injection Attacks Against Recommender Systems
Exploring Social Network Effects on Popularity Biases in Recommender Systems
Investigating the effects of incremental training on neural ranking models
Optimizing Semantic Enrichment of Biomedical Content through Knowledge Sharing
WMRB: Learning to Rank in a Scalable Batch Training Approach
Traversing semantically annotated queries for task-oriented query recommendation
Just Ask for Music (JAM): Multimodal and Personalized Natural Language Music Recommendation
Improve the Personalization of Large-Scale Ranking Systems by Integrating User Survey Feedback
The Magic Barrier Revisited: Accessing Natural Limitations of Recommender Assessment
'Fitness that Fits': A Prototype Model for Workout Video Recommendation
A Comparison of Services for Intent and Entity Recognition for Conversational Recommender Systems
Interpreting user inaction in recommender systems
A Model for Evaluating Popularity and Semantic Information Variations in Radio Listening Sessions
Pareto-efficient hybridization for multi-objective recommender systems
Psychology-informed Recommender Systems Tutorial
How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering
Interview process learning for top-n recommendation
CR-SoRec: BERT driven Consistency Regularization for Social Recommendation
AMBAR: A dataset for Assessing Multiple Beyond-Accuracy Recommenders
Improving new user recommendations with rule-based induction on cold user data
User Segmentation for Controlling Recommendation Diversity
Variational learning to rank (VL2R)
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation
RecSys'11 workshop on human decision making in recommender systems
REDD 2014 - international workshop on recommender systems evaluation: dimensions and design
Enhancing personalization and learner engagement through context-aware recommendation in TEL
Track Mix Generation on Music Streaming Services using Transformers
MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations
A Method to Anonymize Business Metrics to Publishing Implicit Feedback Datasets
Dynamic Global Sensitivity for Differentially Private Contextual Bandits
RecSys Challenges in achieving sustainable eating habits
Graph Enhanced Feature Engineering for Privacy Preserving Recommendation Systems
Robust contextual models for in-session personalization
A recommender system for dynamically evolving online forums
Deliberative Diversity for News Recommendations: Operationalization and Experimental User Study
Personalised Recommendations for the BBC iPlayer: Initial approach and current challenges
Robustness of collaborative recommendation based on association rule mining
A Domain-independent Framework for building Conversational Recommender Systems
Hierarchical Latent Relation Modeling for Collaborative Metric Learning
Guided Walk: A Scalable Recommendation Algorithm for Complex Heterogeneous Social Networks
On the Heterogeneous Information Needs in the Job Domain: A Unified Platform for Student Career
Beyond Persuasion: Adaptive Warnings and Balanced Explanations for Informed Decision-Making in Recommender Systems
Cold-start news recommendation with domain-dependent browse graph
RecSys Challenge 2017: Offline and Online Evaluation
Practical Lessons from Predicting New User Demographics for Ad Targeting
Group Recommender Systems
Ensemble methods for improving the performance of neighborhood-based collaborative filtering
Food Recommendations: Biases that Underpin Ratings
News Recommendations at scale at Bloomberg Media: Challenges and Approaches
12th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'25)
On the Consistency, Discriminative Power and Robustness of Sampled Metrics in Offline Top-N Recommender System Evaluation
Workshop on human decision making in recommender systems: decisions@RecSys'13
Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders
Counteracting Bias and Increasing Fairness in Search and Recommender Systems
RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS)
Scalable Deep Q-Learning for Session-Based Slate Recommendation
Towards Self-Explaining Sequence-Aware Recommendation
Finding a needle in a haystack of reviews: cold start context-based hotel recommender system demo
A Tool for Explainable Pension Fund Recommendations using Large Language Models
Learning to Represent Human Motives for Goal-directed Web Browsing
Escape the bubble: guided exploration of music preferences for serendipity and novelty
Multi-Criteria Knowledge-Based Recommender System for Decision Support in Complex Business Processes
Efficient Data Representation Learning in Google-scale Systems
Reenvisioning the comparison between Neural Collaborative Filtering and Matrix Factorization
Feature Factorization for Top-N Recommendation: From Item Rating to Features Relevance
Evaluating the Pros and Cons of Recommender Systems Explanations
Recommenders benchmark framework
Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, RecSys 2019 Late-Breaking Results, Copenhagen, Denmark, September 16-20, 2019
How Diverse Is Your Audience? Exploring Consumer Diversity in Recommender Systems
Explainable Entity-based Recommendations with Knowledge Graphs
It Takes Two to Tango: An Exploration of Domain Pairs for Cross-Domain Collaborative Filtering
Computing Recommendations via a Knowledge Graph-aware Autoencoder
Democratizing Travel Personalization via Central Recommendation Platform
Constructive Recommendation
Social referral: leveraging network connections to deliver recommendations
Social Choice for Heterogeneous Fairness in Recommendation
Beyond algorithms: Ranking at scale at Booking.com
MMCF: Multimodal Collaborative Filtering for Automatic Playlist Continuation
A Multi-Factor Collaborative Prediction for Review-based Recommendation
User's activity driven short-term context inference
Manipulation-resistant collaborative filtering systems
Analyzing User Preferences and Quality Improvement on Bing's WebPage Recommendation Experience with Large Language Models
Modelling Contextual Information in Session-Aware Recommender Systems with Neural Networks
Task Aware Feature Extraction Framework for Sequential Dependence Multi-Task Learning
Designing for Serendipity in a University Course Recommendation System
TIM-Rec: Explicit Sparse Feedback on Multi-Item Upselling Recommendations in an Industrial Dataset of Telco Calls
Global and Local Differential Privacy for Collaborative Bandits
ReCon: Reducing Congestion in Job Recommendation using Optimal Transport
Multi-Objective Recommendation via Multivariate Policy Learning
Recommendation in social networks
Proceedings of the 2016 Recommender Systems Challenge, RecSys Challenge 2016, Boston, Massachusetts, USA, September 15, 2016
Data-Driven Repricing Strategies in Competitive Markets: An Interactive Simulation Platform
Representing Items as Word-Embedding Vectors and Generating Recommendations by Measuring their Linear Independence
Towards Recommender Systems for Police Photo Lineup
HybridSVD: when collaborative information is not enough
A Nonparametric Contextual Bandit with Arm-level Eligibility Control for Customer Service Routing
Audio-visual encoding of multimedia content for enhancing movie recommendations
A pragmatic and industry-aware approach toward the design of on-line recommender systems
2nd Workshop on Online Recommender Systems and User Modeling, ORSUM@RecSys 2019, 19 September 2019, Copenhagen, Denmark
Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2018, Vancouver, BC, Canada, October 6, 2018
A pragmatic procedure to support the user-centric evaluation of recommender systems
Recommender systems at the long tail
Recommending academic papers via users' reading purposes
Recommending Learning Materials to Students by Identifying their Knowledge Gaps
Pursuing Optimal Trade-Off Solutions in Multi-Objective Recommender Systems
Boosting Recommender Systems with Deep Learning
Leveraging User History with Transformers for News Clicking: The DArgk Approach
Multiple objective optimization in recommender systems
Recommending Fair Payments for Large-Scale Social Ridesharing
Proceedings of the Fourth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), Seattle, WA, USA, September 22nd, 2022
LLM-RecG: A Semantic Bias-Aware Framework for Zero-Shot Sequential Recommendation
Memory Priming and User Preferences
Stochastic matching and collaborative filtering to recommend people to people
Neural gaussian mixture model for review-based rating prediction
Identifying New Podcasts with High General Appeal Using a Pure Exploration Infinitely-Armed Bandit Strategy
Designing for the better by taking users into account: a qualitative evaluation of user control mechanisms in (news) recommender systems
OFF-set: one-pass factorization of feature sets for online recommendation in persistent cold start settings
The Effect of Sensitivity Analysis on the Usage of Recommender Systems
A User-centered Music Recommendation Approach for Daily Activities
AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising
Proceedings of the 9th International Workshop on News Recommendation and Analytics (INRA 2021) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), Amsterdam, Netherlands, September 27, 2021
Adapt to Emotional Reactions in Context-aware Personalization
Proceedings of the Nineteenth ACM Conference on Recommender Systems, RecSys 2025, Prague, Czech Republic, September 22-26, 2025
Infusing Collaborative Recommenders with Distributed Representations
Customer Lifetime Value Prediction: Towards the Paradigm Shift of Recommender System Objectives
Neural Collaborative Filtering vs. Matrix Factorization Revisited
GUApp: a Knowledge-aware Conversational Agent for Job Recommendation (Short paper)
Advancing Automation of Design Decisions in Recommender System Pipelines
Balancing Relevance and Discovery to Inspire Customers in the IKEA App
Constrained collective matrix factorization
Metadata Generation and Evaluation using LLMs - Case Study on Canonical Titles
The Role of Unknown Interactions in Implicit Matrix Factorization - A Probabilistic View
Balancing Fine-tuning and RAG: A Hybrid Strategy for Dynamic LLM Recommendation Updates
Workshop report: WOMRAD 2010
Beyond the Sequence: Statistics-Driven Pre-training for Stabilizing Sequential Recommendation Model
Aggregating preference graphs for collaborative rating prediction
Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation
Correcting for Interference in Experiments: A Case Study at Douyin
Optimization Levers for Promotions Personalization Under Limited Budget
Group Match Prediction via Neural Networks (Long paper)
Deep Auto-Encoding for Context-Aware Inference of Preferred Items' Categories
Workshop on recommender systems meet big data & semantic technologies: SeRSy 2013
Reciprocal Sequential Recommendation
"Don't Judge a Book by its Cover": Exploring Book Traits Children Favor
Position Awareness Modeling with Knowledge Distillation for CTR Prediction
The Browsemaps: Collaborative Filtering at LinkedIn
Online controlled experiments: introduction, learnings, and humbling statistics
Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features: Alleviating the Cold-Start Problem for Rare and Out-of-Set Songs
Let It Go? Not Quite: Addressing Item Cold Start in Sequential Recommendations with Content-Based Initialization
Robustness of recommender systems
Recommending Interesting Writing using a Controllable, Explanation-Aware Visual Interface
Latent Factor Representations for Cold-Start Video Recommendation
Interactive recommendations in social endorsement networks
Revisiting the performance evaluation of knowledge-aware recommender systems: are we making progress?
Semi-SAD: applying semi-supervised learning to shilling attack detection