yusuke1997/dblp-id-title huggingface dataset:
Adapting session based recommendation for features through transfer learning
Learning within-session budgets from browsing trajectories
Recommending the Video to Watch Next: An Offline and Online Evaluation at YOUTV.de
Privacy Preserving Collaborative Filtering by Distributed Mediation
Extending FolkRank with content data
The influence of knowledgeable explanations on users' perception of a recommender system
Off-Policy Actor-critic for Recommender Systems
Domain-Aware Grade Prediction and Top-n Course Recommendation
Workshop on reproducibility and replication in recommender systems evaluation: RepSys
Benefiting from Negative yet Informative Feedback by Contrasting Opposing Sequential Patterns
A Multi-view Graph Contrastive Learning Framework for Cross-Domain Sequential Recommendation
Joint Workshop Proceedings of the 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) and the 5th Edition of Recommendation in Complex Environments (ComplexRec) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), Virtual Event, Amsterdam, The Netherlands, September 25, 2021
Efficient similarity computation for collaborative filtering in dynamic environments
Crank up the Volume: Preference Bias Amplification in Collaborative Recommendation
Towards Creating a Non-synthetic Group Recommendation Dataset
Argument-based generation and explanation of recommendations
On Challenges of Evaluating Recommender Systems in an Offline Setting
Fusion-based Recommender System for Improving Serendipity
Fuzzy D'Hondt's Algorithm for On-line Recommendations Aggregation
Leveraging User Embeddings and Text to Improve CTR Predictions With Deep Recommender Systems
Proceedings of the Workshop on Recommenders in Tourism (RecTour 2022) co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), Seattle, WA, USA and Online, September 22, 2022
Question recommendation with constraints for massive open online courses
Chatbots as conversational recommender systems in urban contexts
Real-time Recommendation of Streamed Data
RADio - Rank-Aware Divergence Metrics to Measure Normative Diversity in News Recommendations
Exploring Longitudinal Effects of Session-based Recommendations
Understanding Fairness in Recommender Systems: A Healthcare Perspective
Proceedings of the 2011 ACM Conference on Recommender Systems, RecSys 2011, Chicago, IL, USA, October 23-27, 2011
A Low-Code Tool Supporting the Development of Recommender Systems
Job recommendation with Hawkes process: an effective solution for RecSys Challenge 2016
CuratorNet: Visually-aware Recommendation of Art Images
Modelling Session Activity with Neural Embedding
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis
Factored MDPs for detecting topics of user sessions
Second Workshop on the Impact of Recommender Systems at ACM RecSys '20
Kamae: Bridging Spark and Keras for Seamless ML Preprocessing
PHARA: a Personal Health Augmented Reality Assistant to Support Decision-Making at Grocery Stores
Getting Deep Recommenders Fit: Bloom Embeddings for Sparse Binary Input/Output Networks
Time dependency of data quality for collaborative filtering algorithms
Three Challenges in Building Industrial-Scale Recommender Systems
Beyond Algorithms: Reclaiming the Interdisciplinary Roots of Recommender Systems (BEYOND 2025)
"Please, Not Now!": A Model for Timing Recommendations
Reusable Self-Attention Recommender Systems in Fashion Industry Applications
The evaluation of a hybrid critiquing system with preference-based recommendations organization
"Beyond the past": Leveraging Audio and Human Memory for Sequential Music Recommendation
Feedback-Driven Gradual Discovery for Expanding Musical Preferences
Disentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction
Multiwinner Election Mechanisms for Diverse Personalized Bayesian Recommendations for the Tourism Domain
The Role of User Location in Personalized Search and Recommendation
The Immunity of Users' Item Selection from Serial Position Effects in Multi-Attribute Item Recommendation Scenarios
myMicSound: an online sound-based microphone recommendation system
An Interpretable Recommendation Model for Gerontological Care
Taming the One-Epoch Phenomenon in Online Recommendation System by Two-stage Contrastive ID Pre-training
RecSys challenge 2013
Dynamic Stage-aware User Interest Learning for Heterogeneous Sequential Recommendation
Exploring Coresets for Efficient Training and Consistent Evaluation of Recommender Systems
Fair Reciprocal Recommendation in Matching Markets
Exploiting Regression Trees as User Models for Intent-Aware Multi-attribute Diversity
Generating Pseudotransactions for Improving Sparse Matrix Factorization
An Analysis Of Entire Space Multi-Task Models For Post-Click Conversion Prediction
A Comparison of Frequent Pattern Techniques and a Deep Learning Method for Session-Based Recommendation
Query Attribute Recommendation at Amazon Search
Specializing Joint Representations for the task of Product Recommendation
Fifth Workshop on Recommender Systems in Fashion and Retail - fashionXrecsys2023
Supporting Consumers in Providing Meaningful Multi-Criteria Judgments
Offline and online evaluation of news recommender systems at swissinfo.ch
Local Factor Models for Large-Scale Inductive Recommendation
Data Quality Matters in Recommender Systems
Workshop on Recommender Systems in Fashion and Retail
Recommendation Systems for News Articles at the BBC
Fair Ranking Metrics
VAMS 2017: Workshop on Value-Aware and Multistakeholder Recommendation
TransNets: Learning to Transform for Recommendation
Learning the Popularity of Items for Mobile Tourist Guides
Comparing and evaluating information retrieval algorithms for news recommendation
Page-Wise Personalized Recommendations in an Industrial e-Commerce Setting
MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation
RecSys in HR: Workshop on Recommender Systems for Human Resources
Asynchronous Distributed Matrix Factorization with Similar User and Item Based Regularization
Convex AUC optimization for top-N recommendation with implicit feedback
A Non-Parametric Choice Model That Learns How Users Choose Between Recommended Options
Automated Recommendation of Healthy, Personalised Meal Plans
Social Recommendations for Events
NORMalize: The First Workshop on Normative Design and Evaluation of Recommender Systems
Predicting User-specific Temporal Retweet Count Based on Network and Content Information
Delivery Hero Recommendation Dataset: A Novel Dataset for Benchmarking Recommendation Algorithms
Rethinking Collaborative Filtering: A Practical Perspective on State-of-the-art Research Based on Real World Insights
CEERS: Counterfactual Evaluations of Explanations in Recommender Systems
Leveraging User-Interactions for Time-Aware Tag Recommendations
From Previous Plays to Long-Term Tastes: Exploring the Long-term Reliability of Recommender Systems Simulations for Children
Predicting User Purchase in E-commerce by Comprehensive Feature Engineering and Decision Boundary Focused Under-Sampling
Group recommendations with rank aggregation and collaborative filtering
Interpretable User Retention Modeling in Recommendation
Online Ranking Prediction in Non-stationary Environments
Abstract: Should Algorithm Evaluation Extend to Testing? We Think So
Recommending Personalized Query Revisions
Mendeley: Recommendations for Researchers
4th ACM RecSys workshop on recommender systems and the social web
Cold Starting a New Content Type: A Case Study with Netflix Live
Word2vec applied to recommendation: hyperparameters matter
Cross social networks interests predictions based ongraph features
The Continuous Cold-start Problem in e-Commerce Recommender Systems
Top-N Recommendation with Missing Implicit Feedback
Open Source Recommendation Systems for Mobile Application
Conducting User Experiments in Recommender Systems
Enhancing structural diversity in social networks by recommending weak ties
Enriched Network Embeddings for News Recommendation
The Hidden Cost of Defaults in Recommender System Evaluation
INFACT: An Online Human Evaluation Framework for Conversational Recommendation
Analysis of User-generated Content for Improving YouTube Video Recommendation
Workshop on the practical use of recommender systems algorithms & technology
My head is your tail: applying link analysis on long-tailed music listening behavior for music recommendation
Workshop on user-centric evaluation of recommender systems and their interfaces
Sequential Recommendation Models: A Graph-based Perspective
Eliciting Stakeholder Preferences for Requirements Prioritization
Proceedings of the 5th International Workshop on Health Recommender Systems co-located with the 14th ACM Conference on Recommender Systems 2020 (RecSys 2020), Online, Worldwide, September 26, 2020
Influential seed items recommendation
User Model Dimensions for Personalizing the Presentation of Recommendations
Spatial topic modeling in online social media for location recommendation
Recommendation and Temptation
A Hybrid Explanations Framework for Collaborative Filtering Recommender Systems
Negative-Aware Collaborative Filtering
Examining Choice Overload across Single-list and Multi-list User Interfaces
Personalized re-ranking for recommendation
MORS 2021: 1st Workshop on Multi-Objective Recommender Systems
An Entity Graph Based Recommender System
An ensemble approach for multi-label classification of item click sequences
Context determines content: an approach to resource recommendation in folksonomies
Fine-tuning for Inference-efficient Calibrated Recommendations
Recommending New Items to Ephemeral Groups Using Contextual User Influence
Bumblebee friendly planting recommendations with citizen science data
Online Recommender Systems based on Data Stream Management Systems
Recsys'11 workshop outline PeMA 2011: personalization in mobile applications
Positive-Sum Impact of Multistakeholder Recommender Systems for Urban Tourism Promotion and User Utility
Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization
Delayed learning, multi-objective optimization, and whole slate generation in recommender systems
LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding
Free Lunch! Retrospective Uplift Modeling for Dynamic Promotions Recommendation within ROI Constraints
Towards context-aware personalization and a broad perspective on the semantics of news articles
Context-aware Preference Modeling with Factorization
FAccTRec 2024: The 7th Workshop on Responsible Recommendation
Task-Based User Modelling for Personalization via Probabilistic Matrix Factorization
Proceedings of the 7th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020), Online Event, September 26, 2020
On top-k recommendation using social networks
Efficient Similarity Based Methods For The Playlist Continuation Task
The Role of Prior Experience in User's Engagement with a New Recommender System
Counterfactual Learning and Evaluation for Recommender Systems: Foundations, Implementations, and Recent Advances
Proceedings of the 13th ACM Conference on Recommender Systems, RecSys 2019, Copenhagen, Denmark, September 16-20, 2019
Privacy Preserving Conversion Modeling in Data Clean Room
Increasing consumers' understanding of recommender results: a preference-based hybrid algorithm with strong explanatory power
ReComment: towards critiquing-based recommendation with speech interaction
Distributed collaborative filtering with domain specialization
Powerful A/B-Testing Metrics and Where to Find Them
Team JKU-AIWarriors in the ACM Recommender Systems Challenge 2021: Lightweight XGBoost Recommendation Approach Leveraging User Features
Sage: recommender engine as a cloud service
Personalized online document, image and video recommendation via commodity eye-tracking
Eighth ACM Conference on Recommender Systems, RecSys '14, Foster City, Silicon Valley, CA, USA - October 06 - 10, 2014
A Simple and Robust Ensemble For Click-Through Rate Prediction
SAGEA: Sparse Autoencoder-based Group Embeddings Aggregation for Fairness-Preserving Group Recommendations
Preference elicitation as an optimization problem
Joint Optimization of Profit and Relevance for Recommendation Systems in E-commerce
Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context
Collaborative filtering algorithms are prone to mainstream-taste bias
Fast Multi-Step Critiquing for VAE-based Recommender Systems
The 2nd workshop on intelligent recommender systems by knowledge transfer & learning (recsysKTL)
Visualizing Ratings in Recommender System Datasets
You Don't Bring Me Flowers: Mitigating Unwanted Recommendations Through Conformal Risk Control
In-Store Augmented Reality-Enabled Product Comparison and Recommendation
Comparative recommender system evaluation: benchmarking recommendation frameworks
Keynote: Bayesian Deep Learning Models for Recommendation Applications
Exploring the longitudinal effects of nudging on users' music genre exploration behavior and listening preferences
Social Web Recommendation using Metapaths
Influence-based collaborative active learning
Personalized query relaxations and repairs in knowledge-based recommendation
Analysing Recommender Systems Impact on Users' Choices
Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews
User-centered evaluation of strategies for recommending sequences of points of interest to groups
What does BERT know about books, movies and music? Probing BERT for Conversational Recommendation
Incremental Matrix Factorization via Feature Space Re-learning for Recommender System
Techlens: a researcher's desktop
Neural Autoregressive Collaborative Filtering for Implicit Feedback
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation
A Joint Dynamic Ranking System with DNN and Vector-based Clustering Bandit
Applying Differential Privacy to Matrix Factorization
Mitigating Confounding Bias in Recommendation via Information Bottleneck
Hybrid search: incorporating contextual signals in recommendations at pinterest
Using Crowdsourcing to Compare Document Recommendation Strategies for Conversations
Multi-armed recommender system bandit ensembles
Scalable similarity-based neighborhood methods with MapReduce
Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison
Optimizing Similar Item Recommendations in a Semi-structured Marketplace to Maximize Conversion
RecTour 2017: Workshop on Recommenders in Tourism
Gradient boosting factorization machines
Scaling Retrieval for Web-Scale Recommenders: Lessons from Inverted Indexes to Embedding Search
Exploratory Analysis of Recommending Urban Parks for Health-Promoting Activities
The Recommendation Game: Using a Game-with-a-Purpose to Generate Recommendation Data
Mechanism Design for Personalized Recommender Systems
CubeThat: news article recommender
Pairwise learning in recommendation: experiments with community recommendation on linkedin
The information cost of manipulation-resistance in recommender systems
A Media Content Recommendation Method for Playlist Curators using LLM-Based Query Expansion
Kibitz: End-to-End Recommendation System Builder
CONSEQUENCES - Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems
Auditing the Effect of Social Network Recommendations on Polarization in Geometrical Ideological Spaces
Co-occurrence Embedding Enhancement for Long-tail Problem in Multi-Interest Recommendation
Proceedings of the 2nd Workshop on New Trends on Content-Based Recommender Systems co-located with 9th ACM Conference on Recommender Systems (RecSys 2015), Vienna, Austria, September 16-20, 2015
Towards a more realistic evaluation: testing the ability to predict future tastes of matrix factorization-based recommenders
Sequence or Pseudo-Sequence? An Analysis of Sequential Recommendation Datasets
It's (not) all about that CTR: A Multi-Stakeholder Perspective on News Recommender Metrics
Why I like it: multi-task learning for recommendation and explanation
Proceedings of the 4th International Workshop on Health Recommender Systems co-located with the 13th ACM Conference on Recommender Systems 2019 (RecSys 2019), Copenhagen, Denmark, September 20, 2019
Challenges for Anonymous Session-Based Recommender Systems in Indoor Environments
Recommendations to Enhance Children Web Searches
Countering Popularity Bias by Regularizing Score Differences
CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering
Learning consumer and producer embeddings for user-generated content recommendation
Multi-Criteria Rating-Based Preference Elicitation in Health Recommender Systems
Up Close, but not too Personal: Hypotargeting for Recommender Systems
Improving the User Experience during Cold Start through Choice-Based Preference Elicitation
Towards Sustainable Recommendations in Urban Tourism
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation
Recommendation Systems for Ad Creation: A View from the Trenches
Private distributed collaborative filtering using estimated concordance measures
PQ-VAE: Efficient Recommendation Using Quantized Embeddings
Matching Theory-based Recommender Systems in Online Dating
Combination of User and Venue Personality with Topic Modelling in Restaurant Recommender Systems
Can social information retrieval enhance the discovery and reuse of digital educational content?
Recommender systems challenge 2012
Demystifying Recommender Systems: A Multi-faceted Examination of Explanation Generation, Impact, and Perception
Transfer Learning in Collaborative Recommendation for Bias Reduction
Are You Influenced by Others When Rating?: Improve Rating Prediction by Conformity Modeling
Boosting Local Recommendations With Partially Trained Global Model
Inter-Session Modeling for Session-Based Recommendation
RankGraph: Unified Heterogeneous Graph Learning for Cross-Domain Recommendation
Promoting Two-sided Fairness with Adaptive Weights for Providers and Customers in Recommendation
Ranking Across Different Content Types: The Robust Beauty of Multinomial Blending
Proceedings of the 2007 ACM Conference on Recommender Systems, RecSys 2007, Minneapolis, MN, USA, October 19-20, 2007
The 6th International Workshop on Health Recommender Systems
Users' Choices About Hotel Booking: Cues for Personalizing the Presentation of Recommendations
Predicting Component Utilities for Linear-Weighted Hybrid Recommendation
Personality in Recommender Systems
Improving Higher Education: Learning Analytics & Recommender Systems Research
First workshop on recommendation systems for television and online video: (RecSysTV 2014)
Evaluating Explainable Interfaces for a Knowledge Graph-Based Recommender System
The curated web: a recommendation challenge
Modeling Long-term User Behaviors with Diffusion-driven Multi-interest Network for CTR Prediction
How to Interpret Implicit User Feedback?
M3REC: A Meta-based Multi-scenario Multi-task Recommendation Framework
Proceedings of the Workshop on Novelty and Diversity in Recommender Systems, DiveRS 2011, at the 5 th ACM International Conference on Recommender Systems, RecSys 2011, Chicago, Illinois, USA, 23 October 2011
A Research Tool for User Preferences Elicitation with Facial Expressions
FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction
Exploiting sentiment homophily for link prediction
Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems
On the Consistency of Average Embeddings for Item Recommendation
Incorporating user control into recommender systems based on naive bayesian classification
Knowledge-aware and conversational recommender systems
Personalized Support for Healthy Nutrition Decisions
Interactive Recommender Systems: Tutorial
Rank and rate: multi-task learning for recommender systems
Explicit Elimination of Similarity Blocking for Session-based Recommendation
Complementary Product Recommendation for Long-tail Products
Determinants of Users' Chance-Seeking Behavior in Search-Based Recommendation
Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce
Driving content recommendations by building a knowledge base using weak supervision and transfer learning
Adversarial Collaborative Filtering for Free
RecSys Challenge 2023 Dataset: Ads Recommendations in Online Advertising
Towards Seed-Free Music Playlist Generation: Enhancing Collaborative Filtering with Playlist Title Information
AutoRec: An Automated Recommender System
Enhancing VAEs for collaborative filtering: flexible priors & gating mechanisms
Modeling recommendation as a social choice problem
Efficiency-Effectiveness Trade-offs in Recommendation Systems
GAIN: web service for user tracking and preference learning - a smart TV use case
ORSUM 2021 - 4th Workshop on Online Recommender Systems and User Modeling
HeroGRAPH: A Heterogeneous Graph Framework for Multi-Target Cross-Domain Recommendation
Computational advertising and recommender systems
The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation
Conversational Agents for Recommender Systems
Collaborative learning of preference rankings
Engaging Learners in an Enterprise L&K System
Integrating Item Relevance in Training Loss for Sequential Recommender Systems
FedLoCA: Low-Rank Coordinated Adaptation with Knowledge Decoupling for Federated Recommendations
Improving Visual Recommendation on E-commerce Platforms Using Vision-Language Models
A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph
Recommending patents based on latent topics
Annotation Practices in Societally Impactful Machine Learning Applications: What are Popular Recommender Systems Models Actually Trained On?
Burst-induced Multi-Armed Bandit for Learning Recommendation
Improving sales diversity by recommending users to items
Abstract: Multi-domain News Recommender Systems at Globo: Challenges, Approaches and Evaluation Metrics
Utilizing Collaborative Filtering to Recommend Opportunities for Positive Affect in daily life
Data Masking for Recommender Systems: Prediction Performance and Rating Hiding
RPAF: A Reinforcement Prediction-Allocation Framework for Cache Allocation in Large-Scale Recommender Systems
ArtEx: A User-Controllable Web Interface for Visual Art Recommendations
Idomaar: A Framework for Multi-dimensional Benchmarking of Recommender Algorithms
On the stability of recommendation algorithms
Integrating Individual and Group Fairness for Recommender Systems through Social Choice
Large-scale Interactive Conversational Recommendation System using Actor-Critic Framework
T-RecS: A Framework for a Temporal Semantic Analysis of the ACM Recommender Systems Conference
Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2017, Como, Italy, August 27, 2017
Providing Previously Unseen Users Fair Recommendations Using Variational Autoencoders
Position Paper: Combining Mobility Services by Customer-Induced Orchestration
Evaluation of recommendations: rating-prediction and ranking
Exploring temporal effects for location recommendation on location-based social networks
"One Size Doesn't Fit All": Helping Users Find Events from Multiple Perspectives
Unlocking the Hidden Treasures: Enhancing Recommendations with Unlabeled Data
Transitive node similarity for link prediction in social networks with positive and negative links
Recommendations: They're in fashion
RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter's Home Timeline
Leveraging LLM generated labels to reduce bad matches in job recommendations
Music cold-start and long-tail recommendation: bias in deep representations
Session-based item recommendation with pairwise features
Ordering innovators and laggards for product categorization and recommendation
Your Eyes Explain Everything: Exploring the Use of Eye Tracking to Provide Explanations On-the-fly
Effective diverse and obfuscated attacks on model-based recommender systems