yusuke1997/dblp-id-title huggingface dataset:
Moderation Meets Recommendation: Perspectives on the Role of Policies in Harm-Aware Recommender Ecosystems - Abstract
Optimizing Podcast Discovery: Unveiling Amazon Music's Retrieval and Ranking Framework
Accurate and Diverse Recommendation based on Users' Tendencies toward Temporal Item Popularity
PEN RecSys: a personalized news recommender systems framework
Revisiting BPR: A Replicability Study of a Common Recommender System Baseline
RDF Graph Embeddings for Content-based Recommender Systems
Learning to recommend with trust and distrust relationships
Extended Conversion: Capturing Successful Interactions in Voice Shopping
Correcting the LogQ Correction: Revisiting Sampled Softmax for Large-Scale Retrieval
Adversarial Learning for Recommendation: Applications for Security and Generative Tasks - Concept to Code
Body Measure-aware Fashion Product Recommendations: Evaluating the Predictive Power of Body Scan Data
Multi-Relational Contrastive Learning for Recommendation
Multi-stack ensemble for job recommendation
Gray Sheep, Influential Users, User Modeling and Recommender System Adoption by Startups
A model for proactivity in mobile, context-aware recommender systems
Understanding Customer Choices to Improve Recommendations in the Air Travel Industry
Large Scale CVR Prediction through Hierarchical History Modeling
Recommending Accommodation Filters with Online Learning
Group Decision Making and Group Recommender Systems
We Know Where You Should Work Next Summer: Job Recommendations
DistillRecDial: A Knowledge-Distilled Dataset Capturing User Diversity in Conversational Recommendation
A deep learning system for predicting size and fit in fashion e-commerce
Dynamic Graph Construction for Improving Diversity of Recommendation
Explanations of recommendations
Case recommender: a flexible and extensible python framework for recommender systems
You are What You Eat! Tracking Health Through Recipe Interactions
Ranking with non-random missing ratings: influence of popularity and positivity on evaluation metrics
Multi-Modal Recommender Systems: Hands-On Exploration
Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation
On the Importance of Context: Privacy Perceptions ofPersonal vs. Health Data in Health Recommender Systems
Top-N recommendations from implicit feedback leveraging linked open data
Developing Recommendation System to provide a Personalized Learning experience at Chegg
NU: BRIEF - A Privacy-aware Newsletter Personalization Engine for Publishers
Proceedings of the 2015 International ACM Recommender Systems Challenge, RecSys Challenge 2015, Vienna, Austria, September 16-20, 2015
Evaluating information presentation strategies for spoken recommendations
Getting the Timing Right: Leveraging Category Inter-purchase Times to Improve Recommender Systems
Leveraging aggregate ratings for better recommendations
Microsoft recommenders: tools to accelerate developing recommender systems
A Study of Priors for Relevance-Based Language Modelling of Recommender Systems
Effective explanations of recommendations: user-centered design
Evaluating the dynamic properties of recommendation algorithms
Operational Twin-Driven AI Recommender for Strategic Service Planning
Optimizing the Selection of Recommendation Carousels with Quantum Computing
Third Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2016)
Query as Context for Item-to-Item Recommendation
Rate it again: increasing recommendation accuracy by user re-rating
pyRecLab: A Software Library for Quick Prototyping of Recommender Systems
Interactive recommendation via deep neural memory augmented contextual bandits
Lightweight Boosting Models for User Response Prediction Using Adversarial Validation
Personalized PageRank vectors for tag recommendations: inside FolkRank
Ratings meet reviews, a combined approach to recommend
Kernelized probabilistic matrix factorization for collaborative filtering: exploiting projected user and item graph
BRUCE: Bundle Recommendation Using Contextualized item Embeddings
Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Surveying User Reactions to Recommendations Based on Inferences Made by Face Detection Technology
ComplexRec 2021: Fifth Workshop on Recommendation in Complex Environments
RePlay: a Recommendation Framework for Experimentation and Production Use
RecWork: Workshop on Recommender Systems for the Future of Work
Dish Discovery via Word Embeddings on Restaurant Reviews
Artwork personalization at netflix
Social networking feeds: recommending items of interest
Effective Nearest-Neighbor Music Recommendations
Distributed matrix factorization with mapreduce using a series of broadcast-joins
A methodology for learning, analyzing, and mitigating social influence bias in recommender systems
Convolutional Matrix Factorization for Document Context-Aware Recommendation
Prompt Tuning for Item Cold-start Recommendation
ExpLOD: A Framework for Explaining Recommendations based on the Linked Open Data Cloud
An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes
Using geospatial metadata to boost collaborative filtering
Adversary or Friend? An adversarial Approach to Improving Recommender Systems
VisualReF: Interactive Image Search Prototype with Visual Relevance Feedback
Bridging Search and Recommendation in Generative Retrieval: Does One Task Help the Other?
Which app will you use next?: collaborative filtering with interactional context
Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems
The recommender problem revisited
New Paths in Music Recommender Systems Research
A study of heterogeneity in recommendations for a social music service
How Similar is Rating Similarity to Content Similarity?
Biases in Recommendation System
Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems
A partial-order based active cache for recommender systems
A belief propagation based recommender system for online services
Personalized fairness-aware re-ranking for microlending
Proceedings of the 3rd Workshop Perspectives on the Evaluation of Recommender Systems 2023 co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, Singapore, September 19, 2023
Continual Collaborative Filtering Through Gradient Alignment
Understanding Effects of Personalized vs. Aggregate Ratings on User Preferences
Scaling Enterprise Recommender Systems for Decentralization
A General Architecture for an Emotion-aware Content-based Recommender System
Financial Product Recommendation through Case-based Reasoning and Diversification Techniques
Deep neural network marketplace recommenders in online experiments
Practical Multi-Task Learning for Rare Conversions in Ad Tech
Pfp: parallel fp-growth for query recommendation
Tutorial on Open Source Online Learning Recommenders
A framework for matrix factorization based on general distributions
DrunkardMob: billions of random walks on just a PC
A Tutorial on Agentic LLM for Recommender Systems
Societal Sorting as a Systemic Risk of Recommenders
Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions
Towards Understanding The Gaps of Offline And Online Evaluation Metrics: Impact of Series vs. Movie Recommendations
Preference aggregation in group recommender systems for committee decision-making
You are what you consume: a bayesian method for personalized recommendations
From Recommendation to Curation: When the System Becomes your Personal Docent
Comparing Offline and Online Recommender System Evaluations on Long-tail Distributions
Improving Similarity Measures Using Ontological Data
Marsbot: Building a Personal Assistant
Overlapping Community Regularization for Rating Prediction in Social Recommender Systems
Towards Sustainability-aware Recommender Systems: Analyzing the Trade-off Between Algorithms Performance and Carbon Footprint
Analyzing the Characteristics of Shared Playlists for Music Recommendation
DIETOS: A Recommender System for Health Profiling and Diet Management in Chronic Diseases
Design guidelines for mobile group recommender systems to handle inaccurate or missing location data
The effect of context-aware recommendations on customer purchasing behavior and trust
Usage-based web recommendations: a reinforcement learning approach
Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations
Proceedings of the 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning co-located with ACM Conference on Recommender Systems (RecSys 2017), Como, Italy, August 27, 2017
View-based recommender systems
Decoy Effect of Recommendation Systems on Real E-commerce Websites
Random walk based entity ranking on graph for multidimensional recommendation
Two-sided Calibration for Quality-aware Responsible Recommendation
Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models
Greedy optimized multileaving for personalization
Selection and Ordering of Linear Online Video Ads
Image Discovery and Insertion for Custom Publishing
Workshop on novelty and diversity in recommender systems - DiveRS 2011
CF4CF: recommending collaborative filtering algorithms using collaborative filtering
Deep Situation-Aware Interaction Network for Click-Through Rate Prediction
Recommending research colloquia: a study of several sources for user profiling
Style conditioned recommendations
Building industrial-scale real-world recommender systems
Adversarial Attacks against Visual Recommendation: an Investigation on the Influence of Items' Popularity
Generic knowledge-based Analysis of Social Media for Recommendations
Online Evaluation Methods for the Causal Effect of Recommendations
A bottom-up approach to job recommendation system
Gaussian Ranking by Matrix Factorization
PURS: Personalized Unexpected Recommender System for Improving User Satisfaction
Data Augmentation using Reverse Prompt for Cost-Efficient Cold-Start Recommendation
Leveraging a Graph-Powered, Real-Time Recommendation Engine to Create Rapid Business Value
Workshop on Learning and Evaluating Recommendations with Impressions (LERI)
Replaying live-user interactions in the off-line evaluation of critique-based mobile recommendations
Play It Again, Sam! Recommending Familiar Music in Fresh Ways
A General Model for Fair and Explainable Recommendation in the Loan Domain (Short paper)
Recommending Repeat Purchases using Product Segment Statistics
Unbiased Ad Click Prediction for Position-aware Advertising Systems
Matrix factorization techniques for context aware recommendation
Bootstrapping a Destination Recommender System
Fifth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS)
Behavior Based Adaptive Navigation Support
Acquiring user profiles from implicit feedback in a conversational recommender system
Music recommendations with temporal context awareness
Not All Videos Become Outdated: Short-Video Recommendation by Learning to Deconfound Release Interval Bias
Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs
HOP-rec: high-order proximity for implicit recommendation
Improving Recommender Systems with Human-in-the-Loop
Random Walk with Wait and Restart on Document Co-citation Network for Similar Document Search
Exploring the Value of Personality in Predicting Rating Behaviors: A Study of Category Preferences on MovieLens
Towards the Evaluation of Recommender Systems with Impressions
Learning multiple models for exploiting predictive heterogeneity in recommender systems
User preference learning in multi-criteria recommendations using stacked auto encoders
FoldCons: A Simple Way To Improve Tag Recommendation
Multiple Connectivity Views for Session-based Recommendation
The user-centered design of a recommender system for a universal library catalogue
Exploiting Social Tags in Matrix Factorization Models for Cross-domain Collaborative Filtering
A Probabilistic Model for Using Social Networks in Personalized Item Recommendation
Transformer-Empowered Content-Aware Collaborative Filtering
Evaluation Framework for Cold-Start Techniques in Large-Scale Production Settings
RecAD: Towards A Unified Library for Recommender Attack and Defense
Debiasing Few-Shot Recommendation in Mobile Games
Streaming Trends: A Low-Latency Platform for Dynamic Video Grouping and Trending Corpora Building
Towards Green Recommender Systems: Investigating the Impact of Data Reduction on Carbon Footprint and Algorithm Performances
Personalized Category Frequency prediction for Buy It Again recommendations
Users in the loop: a psychologically-informed approach to similar item retrieval
USB-Rec: An Effective Framework for Improving Conversational Recommendation Capability of Large Language Model
Creating the next generation of news experience on ekstrabladet.dk with recommender systems
RecSys'12 workshop on interfaces for recommender systems (InterfaceRS'12)
HELPeR: An Interactive Recommender System for Ovarian Cancer Patients and Caregivers
Group recommendation using feature space representing behavioral tendency and power balance among members
MODEM: Decoupling User Behavior for Shared-Account Video Recommendations on Large Screen Devices
PicTouRe - A Picture-Based Tourism Recommender
Weighted hybrid recommendation for heterogeneous networks
Deep Recommendation using Graphs
Addressing Multiple Hypothesis Bias in CTR Prediction for Ad Selection
Workshop on Online Misinformation- and Harm-Aware Recommender Systems: Preface
A semantic framework for personalized ad recommendation based on advanced textual analysis
Algorithms Aside: Recommendation As The Lens Of Life
Find my next job: labor market recommendations using administrative big data
RecSys 2020: Fourteenth ACM Conference on Recommender Systems, Virtual Event, Brazil, September 22-26, 2020
Pairwise Intent Graph Embedding Learning for Context-Aware Recommendation
You Do Not Need a Bigger Boat: Recommendations at Reasonable Scale in a (Mostly) Serverless and Open Stack
LSRS'15: Workshop on Large-Scale Recommender Systems
Enhancing Accuracy of Hybrid Recommender Systems through Adapting the Domain Trends
The Xbox recommender system
Mixed-Modality Interaction in Conversational Recommender Systems
Siamese Neural Networks for Content-based Cold-Start Music Recommendation
The Seven Layers of Complexity of Recommender Systems for Children in Educational Contexts
Proceedings of the Workshops on Recommendation in Complex Scenarios and the Impact of Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020), Online, September 25, 2020
Enhancing Sequential Music Recommendation with Negative Feedback-informed Contrastive Learning
Social link recommendation by learning hidden topics
A Dataset for Adapting Recommender Systems to the Fashion Rental Economy
Challenges in Perfume Recommender Systems: Navigating Subjectivity, Context and Sensory Data
Proceedings of the 10th ACM Conference on Recommender Systems, Boston, MA, USA, September 15-19, 2016
Building and Deploying a Multi-Stage Recommender System with Merlin
ACM recsys'18 late-breaking results (posters)
Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction
Featuristic: An interactive hybrid system for generating explainable recommendations - beyond system accuracy
Towards Psychologically-Grounded Dynamic Preference Models
With a Little Help from my Friends: Use of Recommendations at School
Supporting Knowledge Workers through Personal Information Assistance with Context-aware Recommender Systems
Behaviorism is Not Enough: Better Recommendations through Listening to Users
Challenges in Translating Research to Practice for Evaluating Fairness and Bias in Recommendation Systems
SeRenA: a semantic recommender for all
Exploiting the web of data in model-based recommender systems
RecSys'09 workshop 3: workshop on context-aware recommender systems (CARS-2009)
Off-Policy Evaluation and Learning for Matching Markets
Personalized Push Notifications for News Recommendation
Quality Metrics in Recommender Systems: Do We Calculate Metrics Consistently?
Context-Aware Event Recommendation in Event-based Social Networks
Recommender Systems Algorithm Selection for Ranking Prediction on Implicit Feedback Datasets
Fourth Workshop on Recommender Systems in Fashion and Retail - fashionXrecsys2022
Learning to Match Job Candidates Using Multilingual Bi-Encoder BERT
The impact of ambiguity and redundancy on tag recommendation in folksonomies
Affiliation recommendation using auxiliary networks
Making recommendations in a microblog to improve the impact of a focal user
One-class recommendation systems with the hinge pairwise distance loss and orthogonal representations
Behavior-based Popularity Ranking on Amazon Video
When power users attack: assessing impacts in collaborative recommender systems
Online Recommender system for Accessible Tourism Destinations
Metalearning for Context-aware Filtering: Selection of Tensor Factorization Algorithms
Rating support interfaces to improve user experience and recommender accuracy
Combining Content-based and Collaborative Filtering for Personalized Sports News Recommendations
RecSys'14 joint workshop on interfaces and human decision making for recommender systems
Estimating and Penalizing Preference Shift in Recommender Systems
A Tutorial on Feature Interpretation in Recommender Systems
Personalized news recommendation with context trees
Context Trails: A Dataset to Study Contextual and Route Recommendation
Using maximum coverage to optimize recommendation systems in e-commerce
Personalized Location Recommendation by Aggregating Multiple Recommenders in Diversity
Lift It Up Right: A Recommender System for Safer Lifting Postures
Shopping Value and its Influence on Healthy Shopping Habits in E-Commerce
Democratizing Urban Mobility Through an Open-Source, Multi-Criteria Route Recommendation System
Designing and evaluating explainable AI for non-AI experts: challenges and opportunities
The Dual Echo Chamber: Modeling Social Media Polarization for Interventional Recommending
An Interpretable Neural Network Model for Bundle Recommendations: Doctoral Symposium, Extended Abstract
Proceedings of the 12th ACM Conference on Recommender Systems, RecSys 2018, Vancouver, BC, Canada, October 2-7, 2018
Recommending music for places of interest in a mobile travel guide
Sparse linear methods with side information for top-n recommendations
Correcting Popularity Bias by Enhancing Recommendation Neutrality
A field study of related video recommendations: newest, most similar, or most relevant?
Tutorial on recent progress in collaborative filtering
Diversifying Sentiments in News Recommendation
Personalized, interactive tag recommendation for flickr
Characterizing and Mitigating the Impact of Data Imbalance for Stakeholders in Recommender Systems
AltRecSys: A Workshop on Alternative, Unexpected, and Critical Ideas in Recommendation
A Multistakeholder Recommender Systems Algorithm for Allocating Sponsored Recommendations
A Hybrid Health Journey Recommender System Using Electronic Medical Records
AnnoMath TeX - a formula identifier annotation recommender system for STEM documents
Observing Group Decision Making Processes
Full Index Deep Retrieval: End-to-End User and Item Structures for Cold-start and Long-tail Item Recommendation
A recommender system for on-line course enrolment: an initial study
The Privacy versus Disclosure Appetite Dilemma: Mitigation by Recommendation
Exploring recommendations under user-controlled data filtering
Solving Diversity-Aware Maximum Inner Product Search Efficiently and Effectively
PyRecGym: a reinforcement learning gym for recommender systems
Sequential User-based Recurrent Neural Network Recommendations
Unveiling Challenging Cases in Text-based Recommender Systems
MARS: a MultilAnguage Recommender System
A matrix factorization technique with trust propagation for recommendation in social networks
Visual Representation for Capturing Creator Theme in Brand-Creator Marketplace
Combining Models for Better User Satisfaction in Video Recommendation
Full-Page Recommender: A Modular Framework for Multi-Carousel Recommendations
Next-Generation Intelligent Assistants for AR/VR Devices
Recommending for a multi-sided marketplace with heterogeneous contents
BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems
Hybridisation techniques for cold-starting context-aware recommender systems
Tutorial: Lessons Learned from Building Real-life Recommender Systems
RMSE: Workshop on Recommendation in Multi-stakeholder Environments
Improving Recommender Systems Through the Automation of Design Decisions
Understanding the Impact of Weather for POI Recommendations
UCERSTI 2: second workshop on user-centric evaluation of recommender systems and their interfaces
One-class Matrix Factorization: Point-Wise Regression-Based or Pair-Wise Ranking-Based?
'Free lunch' enhancement for collaborative filtering with factorization machines
On Parallelizing SGD for Pairwise Learning to Rank in Collaborative Filtering Recommender Systems
Mitigating Latent User Biases in Pre-trained VAE Recommendation Models via On-demand Input Space Transformation
Streamingrec: a framework for benchmarking stream-based news recommenders
Towards Interaction-based User Embeddings in Sequential Recommender Models
RecSys Challenge 2015: ensemble learning with categorical features
LLM Based Generation of Item-Description for Recommendation System
Improving IMDb Movie Recommendations with Interactive Settings and Filters
Recommender system for developing new preferences and goals
Recommending Tumblr Blogs to Follow with Inductive Matrix Completion
Recommender Popularity Controls: An Observational Study
Scalable structured prediction for richly structured socio-behavioral data
MuRS: Music Recommender Systems Workshop
Explainable Recommendation for Repeat Consumption
First workshop on large-scale recommender systems: research and best practice(LSRS 2013)
LocalRec'15: Workshop on Location-Aware Recommendations
Explore-exploit in top-N recommender systems via Gaussian processes
Off-Policy Selection for Optimizing Ad Display Timing in Mobile Games (Samsung Instant Plays)
A robust model for paper reviewer assignment
On Interpretability of Linear Autoencoders
A Payload Optimization Method for Federated Recommender Systems
Personality-Based Recommendations: Evidence from Amazon.com
When actions speak louder than clicks: a combined model of purchase probability and long-term customer satisfaction
Semantic-based tag recommendation in scientific bookmarking systems
Revisiting the Performance of Graph Neural Networks for Session-based Recommendation
Donation dashboard: a recommender system for donation portfolios
Learning to rank recommendations with the k-order statistic loss
User Polarization Aware Matrix Factorization for Recommendation Systems
STAN: Stage-Adaptive Network for Multi-Task Recommendation by Learning User Lifecycle-Based Representation
ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation
Exploiting Reviews to Guide Users' Selections
Bandit Algorithms for e-Commerce Recommender Systems: Extended Abstract
Effective User Interface Designs to Increase Energy-efficient Behavior in a Rasch-based Energy Recommender System
Beyond Clicks: Eye-Tracking Insights into User Responses to Different Recommendation Types
Effects of Online Recommendations on Consumers' Willingness to Pay
BehavRec: Workshop on Recommendations for Behavior Change
Mining Information for the Cold-Item Problem
Uncertainty-adjusted Inductive Matrix Completion with Graph Neural Networks
Towards Safety and Sustainability: Designing Local Recommendations for Post-pandemic World
Bootstrapping Conditional Retrieval for User-to-Item Recommendations
Leveraging publication metadata and social data into FolkRank for scientific publication recommendation
From the lab to production: A case study of session-based recommendations in the home-improvement domain
Design and evaluation of a group recommender system
Boosting Health? Examining the Role of Nutrition Labels and Preference Elicitation Methods in Food Recommendation