yusuke1997/dblp-id-title huggingface dataset:
What to compare? Towards understanding user sessions on price comparison platforms
RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations
Utilizing related products for post-purchase recommendation in e-commerce
Reverse Maximum Inner Product Search: How to efficiently find users who would like to buy my item?
The value of personalised recommender systems to e-business: a case study
ACM RecSys'19 late-breaking results (posters)
What's going on in my city?: recommender systems and electronic participatory budgeting
First workshop on the impact of recommender systems at ACM RecSys 2019
Industry Insights from Comparing Deep Learning and GBDT Models for E-Commerce Learning-to-Rank
Deep inventory time translation to improve recommendations for real-world retail
Adaptive collaborative filtering
RecSeats: A Hybrid Convolutional Neural Network Choice Model for Seat Recommendations at Reserved Seating Venues
Context-Aware Tourist Trip Recommendations
A Lightweight Method for Modeling Confidence in Recommendations with Learned Beta Distributions
HCI for Recommender Systems: the Past, the Present and the Future
NORMalize 2024: The Second Workshop on Normative Design and Evaluation of Recommender Systems
RecViz: Intuitive Graph-based Visual Analytics for Dataset Exploration and Recommender System Evaluation
Efficiency Improvement of Neutrality-Enhanced Recommendation
Personalized pricing recommender system: multi-stage epsilon-greedy approach
On the Extraction and Use of Arguments in Recommender Systems: A Case Study in the E-participation Domain (Long paper)
A Language Model-Based Playlist Generation Recommender System
Accuracy and robustness impacts of power user attacks on collaborative recommender systems
Integrating Explicit and Implicit Feature Interactions for Online Ad Installation Forecasting
Investigating Substitutability of Food Items in Consumption Data
Recommending Personalised Targeted Training Adjustments for Marathon Runners
Beyond Top-1: Addressing Inconsistencies in Evaluating Counterfactual Explanations for Recommender Systems
Search Ranking And Personalization at Airbnb
RecGAN: recurrent generative adversarial networks for recommendation systems
Third Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023)
RecPS: Privacy Risk Scoring for Recommender Systems
Scaling Up Recommendation Services in Many Dimensions
Enhancing an Interactive Recommendation System with Review-based Information Filtering
A Federated Recommender System for Online Services
Overview of ACM RecSys CrowdRec 2015 Workshop: Crowdsourcing and Human Computation for Recommender Systems
E-Commerce Item Recommendation Based on Field-aware Factorization Machine
Towards ensemble learning for hybrid music recommendation
CheckInShop.eu: A Sensor-based Recommender System for micro-location Marketing
Aspect Re-distribution for Learning Better Item Embeddings in Sequential Recommendation
Fairness in Reviewer Recommendations at Elsevier
IP2: Entity-Guided Interest Probing for Personalized News Recommendation
Explore versus repeat: insights from an online supermarket
Deep social collaborative filtering
Bootstrapped Personalized Popularity for Cold Start Recommender Systems
Collaborative filtering for social tagging systems: an experiment with CiteULike
Adapting Recommendations to Contextual Changes Using Hierarchical Hidden Markov Models
Enhancing Recommendation Diversity Through a Dual Recommendation Interface
Improved Recommendation of Photo-Taking Locations using Virtual Ratings
Recommender Systems for Banking and Financial Services
Making Neural Networks Interpretable with Attribution: Application to Implicit Signals Prediction
Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning, RecSysTEL 2010, Barcelona, Spain, September 29-30, 2010
Exploiting contextual information in recommender systems
DAGFiNN: A Conversational Conference Assistant
ConvEx-DS: A Dataset for Conversational Explanations in Recommender Systems
Personalizing Benefits Allocation Without Spending Money: Utilizing Uplift Modeling in a Budget Constrained Setup
Recurrent Neural Networks for Customer Purchase Prediction on Twitter
Sentimental product recommendation
Recommendation with the Right Slice: Speeding Up Collaborative Filtering with Factorization Machines
Rethinking Personalized Ranking at Pinterest: An End-to-End Approach
Guiding creative design in online advertising
Pace my race: recommendations for marathon running
Linked Open Data-enabled Strategies for Top-N Recommendations
Recurrent Coevolutionary Latent Feature Processes for Continuous-Time Recommendation
Artist-driven layering and user's behaviour impact on recommendations in a playlist continuation scenario
GLAMOR: Graph-based LAnguage MOdel embedding for citation Recommendation
Proceedings of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation, RepSys 2013, Hong Kong, China, October 12, 2013
Explaining Contextual Recommendations: Interaction Design Study and Prototype Implementation
Acknowledging Dynamic Aspects of Trust in Recommender Systems
An Explanatory Matrix Factorization with User Comments Data
Adversarial Sleeping Bandit Problems with Multiple Plays: Algorithm and Ranking Application
Cross-domain recommendations without overlapping data: myth or reality?
Carousel Personalization in Music Streaming Apps with Contextual Bandits
Interactive multi-party critiquing for group recommendation
EARL: The 2nd Workshop on Evaluating and Applying Recommender Systems with Large Language Models
Using Visual Features and Latent Factors for Movie Recommendation
Data-free Knowledge Distillation for Reusing Recommendation Models
Evaluating The Effects of Calibrated Popularity Bias Mitigation: A Field Study
Offline Evaluation Standards for Recommender Systems
Explainable Robo-Advisors: Empirical Investigations to Specify and Evaluate a User-Centric Taxonomy of Explanations in the Financial Domain
A Sentiment-Based Approach to Twitter User Recommendation
Large-Scale Real-Time Product Recommendation at Criteo
STRec: Sparse Transformer for Sequential Recommendations
What Drives the Perceived Credibility of Health Apps: Classical or Expressive Aesthetics?
Diversified Utility Maximization for Recommendations
CaMeLS: Cooperative Meta-Learning Service for Recommender Systems
Using Navigation to Improve Recommendations in Real-Time
Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction
Exploiting contextual information for recommender systems oriented to tourism
Transfer Learning from APP Domain to News Domain for Dual Cold-Start Recommendation
Personality in Computational Advertising: A Benchmark
Understanding how to Explain Package Recommendations in the Clothes Domain
A New Perspective in Health Recommendations: Integration of Human Pose Estimation
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems
Second Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2015)
Recommendation Systems in the Scope of Opinion Formation: a Model
Hybrid algorithms for recommending new items
LADDER: LLM-Annotated Data for Dogfooded Evaluation of Rankings
RecPack: An(other) Experimentation Toolkit for Top-N Recommendation using Implicit Feedback Data
Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2022 co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), Seattle, WA, USA, September 22, 2022
A system for twitter user list curation
End-to-End Session-Based Recommendation on GPU
Here, There, and Everywhere: Building a Scaffolding for Children's Learning through Recommendations
An Architecture for a General Purpose Multi-Algorithm Recommender System
Content ordering based on commuting patterns
Categorical-attributes-based item classification for recommender systems
Rating: how difficult is it?
Recommendations for Long-Term Profit Optimization
Collaborative temporal order modeling
1st workshop on recommendation technologies for lifestyle change 2012
Rating by Ranking: An Improved Scale for Judgement-Based Labels
Good Times Bad Times: A Study on Recency Effects in Collaborative Filtering for Social Tagging
Leveraging LightGBM Ranker for Efficient Large-Scale News Recommendation Systems
Eliciting pairwise preferences in recommender systems
Insights on Social Recommender Systems
RADAR: Recall Augmentation through Deferred Asynchronous Retrieval
Decomposing fit semantics for product size recommendation in metric spaces
Voting Operations for a Group Recommender System in a Distributed User Interface Environment
Uplift-based evaluation and optimization of recommenders
Jointly Optimize Capacity, Latency and Engagement in Large-scale Recommendation Systems
Choice-Based Recommender Systems
"Where Far Can Be Close": Finding Distant Neighbors In Recommender Systems
Product recommendation and rating prediction based on multi-modal social networks
PinFM: Foundation Model for User Activity Sequences at a Billion-scale Visual Discovery Platform
Designer-driven add-to-cart recommendations
Debiasing Item-to-Item Recommendations With Small Annotated Datasets
Explainability in Music Recommender System
Next-item Recommendations in Short Sessions
Measuring Interaction-Level Unlearning Difficulty for Collaborative Filtering
Fourth Workshop on Recommender Systems for Human Resources (RecSys in HR 2024)
Dynamic generation of personalized hybrid recommender systems
User-Tailored Privacy for Interactive Recommender Systems
A probabilistic model for item-based recommender systems
Analysis Operations for Constraint-based Recommender Systems
ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction
Who predicts better?: results from an online study comparing humans and an online recommender system
Analysis of User Behavior in Interfaces with Recommended Items: An Eye-tracking Study
Top-K Contextual Bandits with Equity of Exposure
Balancing Habit Repetition and New Activity Exploration: A Longitudinal Micro-Randomized Trial in Physical Activity Recommendations
Interface and interaction design for group and social recommender systems
Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation
Field-aware probabilistic embedding neural network for CTR prediction
You are what apps you use : Transfer Learning for Personalized Content and Ad Recommendation
A semantic approach to recommending text advertisements for images
Neighborhood-Based Collaborative Filtering for Conversational Recommendation
ACM recsys workshop on recommenders in tourism (rectour 2018)
Recommender Systems and Algorithmic Hate
Tutorial on Large Language Models for Recommendation
Co-optimize Content Generation and Consumption in a Large Scale Video Recommendation System
Tops, Bottoms, and Shoes: Building Capsule Wardrobes via Cross-Attention Tensor Network
Nuke 'Em Till They Go: Investigating Power User Attacks to Disparage Items in Collaborative Recommenders
Anything Fun Going On? A Simple Wizard to Avoid the Cold-Start Problem for Event Recommenders
Recommendations for chemists: a case study
Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives
Agentic Personalisation of Cross-Channel Marketing Experiences
Retargeted matrix factorization for collaborative filtering
Item recommendation on monotonic behavior chains
Exploitation Over Exploration: Unmasking the Bias in Linear Bandit Recommender Offline Evaluation
Personalized recommendation based on the personal innovator degree
Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders
Enhanced Privacy Preservation for Recommender Systems
Integrating Public Displays into Tourist Trip Recommender Systems
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models
From User Control and Explainability in Recommendation Interfaces to Visual XAI
PrivateJobMatch: a privacy-oriented deferred multi-match recommender system for stable employment
High quality recommendations for small communities: the case of a regional parent network
A hierarchical bayesian model for size recommendation in fashion
Towards interactive recommending in model-based collaborative filtering systems
Proceedings of the Workshop on Location-Aware Recommendations, LocalRec 2015, co-located with the 9th ACM Conference on Recommender Systems (RecSys 2015), Vienna, Austria, September 19, 2015
Context-awareness in recommender systems: research workshop and movie recommendation challenge
Optimizing Long-term Value for Auction-Based Recommender Systems via On-Policy Reinforcement Learning
Clustering-based factorized collaborative filtering
Item popularity and recommendation accuracy
Workshop on Online Misinformation- and Harm-Aware Recommender Systems
Integrating Matrix Factorization with Graph based Models
Learning Distributed Representations from Reviews for Collaborative Filtering
Recommending Healthy and Sustainable Meals exploiting Food Retrieval and Large Language Models
Discovering latent factors from movies genres for enhanced recommendation
A hybrid social-acoustic recommendation system for popular music
Improving the effectiveness of collaborative recommendation with ontology-based user profiles
Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering
Implicit vs. explicit trust in social matrix factorization
RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter's Home Timeline
Enhancing Sequential Music Recommendation with Personalized Popularity Awareness
Improving Data Efficiency for Recommenders and LLMs
Assessing the Impact of a User-Item Collaborative Attack on Class of Users
Evaluating the Importance of Various Implicit Factors in E-commerce
Elsevier Journal Finder: Recommending Journals for your Paper
Groupon finally explains why we showed those offers
I Want to Break Free! Recommending Friends from Outside the Echo Chamber
cDLRM: Look Ahead Caching for Scalable Training of Recommendation Models
Investigating Mechanisms for User Integration in the Activity Goal Recommendation Process by Interface Design
Hybrid Recommender System based on Autoencoders
Common attributes in an unusual context: predicting the desirability of a social match
Recurrent knowledge graph embedding for effective recommendation
Agent-based computational investing recommender system
Utilizing Non-click Samples via Semi-supervised Learning for Conversion Rate Prediction
Climbing crags repetitive choices and recommendations
A Semantic-Aware Profile Updating Model for Text Recommendation
Probabilistic news recommender systems with feedback
Toward 100TB Recommendation Models with Embedding Offloading
IRF: interactive recommendation through dialogue
Enhancing diversity in Top-N recommendation
Exploring Deep Space: Learning Personalized Ranking in a Semantic Space
Unsupervised Context-Driven Recommendations Based On User Reviews
Proceedings of the 2009 ACM Conference on Recommender Systems, RecSys 2009, New York, NY, USA, October 23-25, 2009
Privacy for Recommender Systems: Tutorial Abstract
Popularity‑Bias Vulnerability: Semi‑Supervised Label Inference Attack on Federated Recommender Systems
APS Explorer: Navigating Algorithm Performance Spaces for Informed Dataset Selection
Trend-Responsive User Segmentation Enabling Traceable Publishing Insights. A Case Study of a Real-World Large-Scale News Recommendation System
SMORe: modularize graph embedding for recommendation
A Comparative Analysis of Text-Based Explainable Recommender Systems
Bias Issues and Solutions in Recommender System: Tutorial on the RecSys 2021
Poster Proceedings of the 8th ACM Conference on Recommender Systems, RecSys 2014, Foster City, Silicon Valley, CA, USA, October 6-10, 2014
KidRec: Children & Recommender Systems: Workshop Co-located with ACM Conference on Recommender Systems (RecSys 2017)
Recommending scientific articles using citeulike
Evaluating Stereotype and Non-Stereotype Recommender Systems
Effective and Efficient Training for Sequential Recommendation using Recency Sampling
Integrating trust and similarity to ameliorate the data sparsity and cold start for recommender systems
MoRE: A Mixture of Reflectors Framework for Large Language Model-Based Sequential Recommendation
Multi-Behavioral Sequential Recommendation
Paragon: Parameter Generation for Controllable Multi-Task Recommendation
Search shortcuts: a new approach to the recommendation of queries
Citolytics: A Link-based Recommender System for Wikipedia
Configuring and monitoring recommender system as a service
The influence limiter: provably manipulation-resistant recommender systems
GASGD: stochastic gradient descent for distributed asynchronous matrix completion via graph partitioning
User Evaluation of Fusion-based Recommender Systems for Serendipity-oriented Recommendation
MoocRec.com : Massive Open Online Courses Recommender System
The Impact of Prediction Uncertainty in Recommendations for Health-Related Behavior
Conducting Recommender Systems User Studies Using POPROX
Taking advantage of images and texts in recommender systems: semantics and explainability
Recommendation opportunities: improving item prediction using weighted percentile methods in collaborative filtering systems
An Insurance Recommendation System Using Bayesian Networks
Regret-based optimal recommendation sets in conversational recommender systems
Enhancing Performance and Scalability of Large-Scale Recommendation Systems with Jagged Flash Attention
To personalize or not: a risk management perspective
Two-stage Model for Automatic Playlist Continuation at Scale
Combining IGA and KG for Serendipitous Learning Contents Recommendation
Learning Representations of Hierarchical Slates in Collaborative Filtering
Enhancing Transferability and Consistency in Cross-Domain Recommendations via Supervised Disentanglement
CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework
Jobandtalent at RecSys Challenge 2016
Identifying Controversial Pairs in Item-to-Item Recommendations
Rude awakenings from behaviourist dreams. Methodological integrity and the GDPR
Debiased Off-Policy Evaluation for Recommendation Systems
Improved Recurrent Neural Networks for Session-based Recommendations
The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation (ROEGEN)
Large Scale E-Commerce Model for Learning and Analyzing Long-Term User Preferences
rrecsys: An R-package for Prototyping Recommendation Algorithms
Bundle Recommender from Recipes to Shopping Carts - Optimizing Ingredients, Kitchen Gadgets and their Quantities
Psychological User Characteristics and Meta-Intents in a Conversational Product Advisor
Revisiting Neighbourhood-Based Recommenders For Temporal Scenarios
Factorization Machines for Hybrid Recommendation Systems Based on Behavioral, Product, and Customer Data
Item-centric Exploration for Cold Start Problem
Private Matrix Factorization with Public Item Features
Acceptance issues of personality-based recommender systems
Blooming Beats: An Interactive Music Recommender System Grounded in TRACE Principles and Data Humanism
Proceedings of the Workshop on Recommendation Utility Evaluation: Beyond RMSE, RUE 2012, Dublin, Ireland, September 9, 2012
Interfaces and Human Decision Making for Recommender Systems
KGTORe: Tailored Recommendations through Knowledge-aware GNN Models
Are User-Generated Item Reviews Actually Beneficial for Recommendation?
VMI-PSL: Visual Model Inspector for Probabilistic Soft Logic
Advancing User-Centric Evaluation and Design of Conversational Recommender Systems
A hybrid two-stage recommender system for automatic playlist continuation
Adding Value to Low-Resource Industrial Recommender Systems
Recommender Systems for Self-Actualization
Do clicks measure recommendation relevancy?: an empirical user study
Tutorial on Offline Evaluation for Group Recommender Systems
Quality-aware neural complementary item recommendation
Investigating Overparameterization for Non-Negative Matrix Factorization in Collaborative Filtering
Cross-Domain Recommendation in the Hotel Sector
M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations
The challenge of recommender systems challenges
Eigenvalue Perturbation for Item-based Recommender Systems
Style Recommendation for Fashion Items using Heterogeneous Information Network
Personal Values and Community-Centric Environmental Recommender Systems: Enhancing Sustainability Through User Engagement
Contextual Multi-Armed Bandit for Email Layout Recommendation
Performance comparison of neural and non-neural approaches to session-based recommendation
Recommender Systems Meet Species Distribution Modelling
Dynamic Scholarly Collaborator Recommendation via Competitive Multi-Agent Reinforcement Learning
Ti-DC-GNN: Incorporating Time-Interval Dual Graphs for Recommender Systems
Risk "Attention" or "Adventure": A Qualitative Study of Novelty and Familiarity in Music Listening
The 7th international workshop on news recommendation and analytics (INRA 2019)
First International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2024)
Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization
Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions
Adaptation and Evaluation of Recommendations for Short-term Shopping Goals
Localify.org: Locally-focus Music Artist and Event Recommendation
Healthy Menus Recommendation: Optimizing the Use of the Pantry
News Article Position Recommendation Based on the Analysis of Article's Content - Time Matters
An Extended Data Model Format for Composite Recommendation
eSASRec: Enhancing Transformer-based Recommendations in a Modular Fashion
Expediting Exploration by Attribute-to-Feature Mapping for Cold-Start Recommendations
A generalized stochastic block model for recommendation in social rating networks
Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison
Adaptive, Personalized Diversity for Visual Discovery
Putting Users in Control of their Recommendations
Implications of psychological phenomenons for recommender systems
Leveraging laziness, browsing-pattern aware stacked models for sequential accommodation learning to rank
LiGAN: Recommending Artificial Fillers for Police Photo Lineups (Short paper)
LDA for on-the-fly auto tagging
Optimizing for Participation in Recommender System
Challenges in Recommender Systems for Tourism
Engendering Health with Recommender Systems
Measuring the Concentration Reinforcement Bias of Recommender Systems
Using textual summaries to describe a set of products
Multimodal Representation Learning for High-Quality Recommendations in Cold-Start and Beyond-Accuracy
Emphasize, don't filter!: displaying recommendations in Twitter timelines
AdaptEx: A Self-Service Contextual Bandit Platform
Making Meaningful Restaurant Recommendations At OpenTable
Explaining and exploring job recommendations: a user-driven approach for interacting with knowledge-based job recommender systems
TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations
Not by search alone: how recommendations complement search results
Estimating Party-user Similarity in Voting Advice Applications using Hidden Markov Models
DLRS 2018: third workshop on deep learning for recommender systems
Item cold-start recommendations: learning local collective embeddings
TorchRec: a PyTorch Domain Library for Recommendation Systems
Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks
User-centric evaluation of session-based recommendations for an automated radio station
Recommending Product Sizes to Customers
IntersectionExplorer: the Flexibility of Multiple Perspectives
A spatial model for collaborative filtering of comments in an online discussion forum
Recommender Systems Evaluation: A 3D Benchmark
Fourth international workshop on health recommender systems (HealthRecSys 2019)
Developing a Human-Centered Framework for Transparency in Fairness-Aware Recommender Systems
Clinical online recommendation with subgroup rank feedback