yusuke1997/dblp-id-title huggingface dataset:
A Holistic UX Methodological Framework for Measuring the Dynamic, Adaptive and Intelligent Aspects of a Software Solution
Emerging Knowledge Extraction and Visualization in Medical Document Corpora
Mindmanager: The Psychologically Informed App to Manage Weight Loss
Millennial's CSR Perception, Social Influences, and Intention to Buy Social Responsible Products: A Conceptual Framework
Automatic Error Detection for Image to Text Tools
Support Vector Machine Learning for ECG Classification
A Survey of Automated Information Exchange Mechanisms Among CERTs
Online News Analysis on Cloud Computing Platform for Market Prediction
SDR Demonstration System for the Investigation of Cooperative Communication and the Scaling Behaviour of MANETs
Formation Control for Multi-agent Systems: Modelling and Analysis
Low Cost High Resolution Ampere Meter for Automated Power Tests for Constrained Devices
A Survey of Fire Loads for Different Room Types Found in a Third Level Educational Building
SenseBot: A Wearable Sensor Enabled Robotic System to Support Health and Well-Being
Development and Validation of an Algorithm for Emissivity-Corrected Pyrometry Independent of Material Properties
Beamforming Techniques Performance Evaluation for 5G Massive MIMO Systems
Operational Management of Data Centers Energy Efficiency by Dynamic Optimization -Based on a Vector Autoregressive Model- Reinforcement Learning(VAR-RL) Approach
Content-based recommendation in social tagging systems
RecSys'12 workshop on human decision making in recommender systems
A Reproducibility Study of Product-side Fairness in Bundle Recommendation
FiBiNET: combining feature importance and bilinear feature interaction for click-through rate prediction
DRecPy: A Python Framework for Developing Deep Learning-Based Recommenders
Understanding the effect of adaptive preference elicitation methods on user satisfaction of a recommender system
Proceedings of the ACM Recommender Systems Challenge, RecSys Challenge 2018, Vancouver, BC, Canada, October 2, 2018
Recommender Systems Fairness Evaluation via Generalized Cross Entropy
LightSAGE: Graph Neural Networks for Large Scale Item Retrieval in Shopee's Advertisement Recommendation
Contrastive Conditional Embeddings for Item-based Recommendation at E-commerce Scale
A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models
Speeding up the Xbox recommender system using a euclidean transformation for inner-product spaces
On the real-time web as a source of recommendation knowledge
"I like to explore sometimes": Adapting to Dynamic User Novelty Preferences
ORSUM 2023 - 6th Workshop on Online Recommender Systems and User Modeling
Evaluating Music Recommendations with Binary Feedback for Multiple Stakeholders
Co-Staying: A Social Network for Increasing the Trustworthiness of Hotel Recommendations
Representation Learning for Homophilic Preferences
Pick & merge: an efficient item filtering scheme for Windows store recommendations
A Cosmetic Differences Visualization System for Beauty Recommendation using the Scores of Various Evaluation Items
Giveme5W1H: A Universal System for Extracting Main Events from News Articles
Avoiding monotony: improving the diversity of recommendation lists
Unleashing the Retrieval Potential of Large Language Models in Conversational Recommender Systems
Interaction-Grounded Learning for Recommender Systems
Comfride: a smartphone based system for comfortable public transport recommendation
Rs4rs: Semantically Find Recent Publications from Top Recommendation System-Related Venues
FineNet: a joint convolutional and recurrent neural network model to forecast and recommend anomalous financial items
Broadening the Scope: Evaluating the Potential of Recommender Systems beyond prioritizing Accuracy
Decoupled Entity Representation Learning for Pinterest Ads Ranking
Toward a New Protocol to Evaluate Recommender Systems
Page-level Optimization of e-Commerce Item Recommendations
Bias in Search and Recommender Systems
How many bits per rating?
Proceedings of the 2010 ACM Conference on Recommender Systems, RecSys 2010, Barcelona, Spain, September 26-30, 2010
Sequence-aware recommendation
Exploring Artist Gender Bias in Music Recommendation
Asymmetric Recommendations: The Interacting Effects of Social Ratings? Direction and Strength on Users' Ratings
Scalable audience targeted models for brand advertising on social networks
Reward innovation for long-term member satisfaction
Letting Users Choose Recommender Algorithms: An Experimental Study
Proceedings of the Workshop on Knowledge-aware and Conversational Recommender Systems 2018 co-located with 12th ACM Conference on Recommender Systems, KaRS@RecSys 2018, Vancouver, Canada, October 7, 2018
Automatic Music Playlist Continuation via Neighbor-based Collaborative Filtering and Discriminative Reweighting/Reranking
CLoSe: Contextualized Location Sequence Recommender
Enhanced vector space models for content-based recommender systems
A Framework for Training Hybrid Recommender Systems
Are We Forgetting Something? Correctly Evaluate a Recommender System With an Optimal Training Window
A Multimodal Framework for Recognizing Emotional Feedback in Conversational Recommender Systems
Incremental Graph of Sequential Interactions for Online Recommendation with Implicit Feedback
Co-designing ML Models with Data Activists
Scalable Approximate NonSymmetric Autoencoder for Collaborative Filtering
Crowd-Based Personalized Natural Language Explanations for Recommendations
The Effect of Feedback Granularity on Recommender Systems Performance
"I'm looking for something like ...": Combining Narratives and Example Items for Narrative-driven Book Recommendation
Fifth International Workshop on Health Recommender Systems (HealthRecSys 2020)
Learning User's Preferred Household Organization via Collaborative Filtering Methods
WOMRAD: 2nd workshop on music recommendation and discovery
FATREC Workshop on Responsible Recommendation
Toward Benchmarking Group Explanations: Evaluating the Effect of Aggregation Strategies versus Explanation
Recsys challenge 2018: automatic music playlist continuation
Incorporating Time in Sequential Recommendation Models
Addressing Multi-stakeholder Fairness Concerns in Recommender Systems Through Social Choice
Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected?
Research paper recommender system evaluation: a quantitative literature survey
Efficient online recommendation via low-rank ensemble sampling
RecTemp: Temporal Reasoning in Recommendation Systems
Automating readers' advisory to make book recommendations for K-12 readers
Intelligent web usage clustering based recommender system
Diffusion-aware personalized social update recommendation
STRec: An Improved Graph-based Tag Recommender
RicciFlowRec: A Geometric Root Cause Recommender Using Ricci Curvature on Financial Graphs
EX3: Explainable Attribute-aware Item-set Recommendations
Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation
A Dual-Key Attention Framework for Sequential Recommendation with Side Information
Matching information content with music
How Users Ride the Carousel: Exploring the Design of Multi-List Recommender Interfaces From a User Perspective
Using group recommendation heuristics for the prioritization of requirements
Informfully Recommenders - Reproducibility Framework for Diversity-aware Intra-session Recommendations
Interactive Food Recommendation for Groups
Client Time Series Model: a Multi-Target Recommender System based on Temporally-Masked Encoders
Deep reinforcement learning for page-wise recommendations
Long-term fairness for Group Recommender Systems with Large Groups
Recommendation in multistakeholder environments
A Personalised Reader for Crowd Curated Content
Statistical Inference: The Missing Piece of RecSys Experiment Reliability Discourse
Predicting performance in recommender systems
Personalization is a Two-Way Street
Leveraging aggregate ratings for improving predictive performance of recommender systems
Offline Contextual Multi-armed Bandits for Mobile Health Interventions: A Case Study on Emotion Regulation
Data mining for item recommendation in MOBA games
Meta-Intents in Conversational Recommender Systems
Recommending Crowdsourced Travels on wOndary
Travel Together, Play Together: Gamifying a Group Recommender System for Tourism
Recommendations in a marketplace
Proceedings of the 8th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), Online Event, September 25 and September 29, 2021
A people-to-people content-based reciprocal recommender using hidden markov models
Lasso: Large Language Model-based User Simulator for Cross-Domain Recommendation
Exploiting user similarity based on rated-item pools for improved user-based collaborative filtering
Exploiting Contextual Normalizations and Article Endorsement for News Recommendation
Fashion-AlterEval: A Dataset for Improved Evaluation of Conversational Recommendation Systems with Alternative Relevant Items
2nd Workshop on Recommendation Systems for Television and Online Video (RecSysTV 2015)
Pessimistic Rescaling and Distribution Shift of Boosting Models for Impression-Aware Online Advertising Recommendation
Déjà Vu: The Importance of Time and Causality in Recommender Systems
LSRS'16: Workshop on Large-Scale Recommender Systems
Large Language Models as Evaluators for Recommendation Explanations
Retrieval-augmented Recommender System: Enhancing Recommender Systems with Large Language Models
Tag recommendations based on tensor dimensionality reduction
Question recommendation for collaborative question answering systems with RankSLDA
Measuring and Mitigating Bias and Harm in Personalized Advertising
ORSUM 2019 2nd workshop on online recommender systems and user modeling
Debiasing Implicit Feedback Recommenders via Sliced Wasserstein Distance-based Regularization
Conceptual recommender system for CiteSeerX
Impact of item consumption on assessment of recommendations in user studies
entity2rec: Learning User-Item Relatedness from Knowledge Graphs for Top-N Item Recommendation
Review-Based Cross-Domain Collaborative Filtering: A Neural Framework
Offline evaluation of recommender systems: all pain and no gain?
Are Real-World Place Recommender Algorithms Useful in Virtual World Environments?
User perception of differences in recommender algorithms
Exploring Data Splitting Strategies for the Evaluation of Recommendation Models
Event Recommendation using Twitter Activity
Modeling the Assimilation-Contrast Effects in Online Product Rating Systems: Debiasing and Recommendations
Connecting sellers and buyers on the world's largest inventory
Learning to Rank with Trust and Distrust in Recommender Systems
Set-oriented personalized ranking for diversified top-n recommendation
Building a reciprocal recommendation system at scale from scratch: Learnings from one of Japan's prominent dating applications
Case amazon: ratings and reviews as part of recommendations
An Ensemble Approach of Recurrent Neural Networks using Pre-Trained Embeddings for Playlist Completion
Hulu video recommendation: from relevance to reasoning
Personality aware recommendations to groups
Beyond accuracy: evaluating recommender systems by coverage and serendipity
Generation meets recommendation: proposing novel items for groups of users
Integrated content marketing
Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features
Scaling TensorFlow to 300 million predictions per second
Metadata Embeddings for User and Item Cold-start Recommendations
CAEN: A Hierarchically Attentive Evolution Network for Item-Attribute-Change-Aware Recommendation in the Growing E-commerce Environment
Proceedings of the 1st Workshop on Temporal Reasoning in Recommender Systems co-located with 11th International Conference on Recommender Systems (RecSys 2017), Como, Italy, August 27-31, 2017
I've got 10 million songs in my pocket: now what?
A cross-cultural user evaluation of product recommender interfaces
Workshop on context-aware recommender systems
The Effect of Third Party Implementations on Reproducibility
Multistakeholder recommendation with provider constraints
Proceedings of the Workshop on Recommenders in Tourism, RecTour 2018, co-located with the 12th ACM Conference on Recommender Systems (RecSys 2018), Vancouver, Canada, October 7, 2018
The Oblivion Problem: Exploiting Forgotten Items to Improve Recommendation Diversity
Optimizing product recommendations for millions of merchants
Cross-Batch Aggregation for Streaming Learning from Label Proportions in Industrial-Scale Recommendation Systems
TCNSVD: A Temporal and Community-Aware Recommender Approach
Workshop on new trends in content-based recommender systems: (CBRecSys 2014)
Managing Irrelevant Contextual Categories in a Movie Recommender System
CONSEQUENCES 2025 - The 4th Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems
Entity-Aware Collections Ranking: A Joint Scoring Approach
Bias and Feedback Loops in Music Recommendation: Studies on Record Label Impact
Together is Better: Hybrid Recommendations Combining Graph Embeddings and Contextualized Word Representations
Decision-Making in Recommender Systems: The Role of User's Goals and Bounded Resources
CONSEQUENCES - The 3rd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems
Second Workshop on Health Recommender Systems: (HealthRecSys 2017)
Sequence Adaptation via Reinforcement Learning in Recommender Systems
News2Images: Automatically Summarizing News Articles into Image-Based Contents via Deep Learning
Orthogonal query recommendation
Selecting content-based features for collaborative filtering recommenders
Optimal Baseline Corrections for Off-Policy Contextual Bandits
Streaming Session-Based Recommendation: When Graph Neural Networks meet the Neighborhood
The Impact of Recommenders on Scientific Article Discovery: The Case of Mendeley Suggest
Recommending in changing times
Recommending topics for self-descriptions in online user profiles
Recommendation challenges in web media settings
Leveraging the citation graph to recommend keywords
beeFormer: Bridging the Gap Between Semantic and Interaction Similarity in Recommender Systems
The demonstration of the reviewer's assistant
User Bias in Beyond-Accuracy Measurement of Recommendation Algorithms
A Simple yet Strong Approach for Installation Prediction in ShareChat Ads
Third Knowledge-aware and Conversational Recommender Systems Workshop (KaRS)
Unobserved Negative Items in Recommender Systems: Challenges and Solutions for Evaluation and Learning
Tutorial on Conversational Recommendation Systems
Harnessing a generalised user behaviour model for next-POI recommendation
Towards Argumentation-based Recommendations for Personalised Patient Empowerment
A recommender system for heterogeneous and time sensitive environment
Imbalanced Data Sparsity as a Source of Unfair Bias in Collaborative Filtering
Do Channels Matter? Illuminating Interpersonal Influence on Music Recommendations
RecSys Challenge 2016: Job Recommendations
Groups Identification and Individual Recommendations in Group Recommendation Algorithms
QUARE: 2nd Workshop on Measuring the Quality of Explanations in Recommender Systems
Query-based Music Recommendations via Preference Embedding
Recommender-Systems.com: A Central Platform for the Recommender-System Community
User Behavior Modeling with Deep Learning for Recommendation: Recent Advances
SURE 2024: Workshop on Strategic and Utility-aware REcommendation
Psrec: social recommendation with pseudo ratings
A Dynamic Human-in-the-loop Recommender System for Evidence-based Clinical Staging of COVID-19
Matrix Factorization for Package Recommendations
Overview of ACM RecSys CrowdRec 2014 workshop: crowdsourcing and human computation for recommender systems
Do Recommender Systems Make Social Media More Susceptible to Misinformation Spreaders?
Topic diversity in tag recommendation
D-RDW: Diversity-Driven Random Walks for News Recommender Systems
REVEAL 2022: Reinforcement Learning-Based Recommender Systems at Scale
Proposal and Evaluation of Serendipitous Recommendation Method Using General Unexpectedness
Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks
Fairness-Aware Group Recommendation with Pareto-Efficiency
SimuRec: Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research
Divide and Transfer: Understanding Latent Factors for Recommendation Tasks
A General Aspect-Term-Extraction Model for Multi-Criteria Recommendations (Long paper)
Personalizing Item Recommendation via Price Understanding
Workshop on Context-Aware Recommender Systems
Reducing the sparsity of contextual information for recommender systems
Counterfactual Inference under Thompson Sampling
Keeping Dataset Biases out of the Simulation: A Debiased Simulator for Reinforcement Learning based Recommender Systems
Identifying and utilizing contextual data in hybrid recommender systems
MCM: A Multi-task Pre-trained Customer Model for Personalization
Combining Dynamic A/B Experimentation and Recommender Systems in MOOCs
A Collective Variational Autoencoder for Top-N Recommendation with Side Information
Denoising User-aware Memory Network for Recommendation
Distributed, real-time bayesian learning in online services
On the Intrinsic Challenges of Group Recommendation
Context-Aware Recommendations for Mobile Shopping
Nutrilize a Personalized Nutrition Recommender System: an Enable Study
Testing and evaluating tag recommenders in a live system
Judging similarity: a user-centric study of related item recommendations
Two-Stage Approach to Item Recommendation from User Sessions
Neural Modeling of Buying Behaviour for E-Commerce from Clicking Patterns
Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Models
Exploring Scaling Laws of CTR Model for Online Performance Improvement
Rethinking hearing aids as recommender systems
From Research to Production: Towards Scalable and Sustainable Neural Recommendation Models on Commodity CPU Hardware
Standard Practices for Data Processing and Multimodal Feature Extraction in Recommendation with DataRec and Ducho (D&D4Rec)
Preserving privacy in collaborative filtering through distributed aggregation of offline profiles
Using graded implicit feedback for bayesian personalized ranking
Active learning driven by rating impact analysis
RecProfile '16: Workshop on Profiling User Preferences for Dynamic, Online, and Real-Time recommendations
Low Rank Field-Weighted Factorization Machines for Low Latency Item Recommendation
Music recommendation and discovery revisited
Large Language Model Augmented Narrative Driven Recommendations
Pairwise Preferences Based Matrix Factorization and Nearest Neighbor Recommendation Techniques
Timely Personalization at Peloton: A System and Algorithm for Boosting Time-Relevant Content
A preliminary study on a recommender system for the job recommendation challenge
Challenges Experienced in Public Service Media Recommendation Systems
Catch-up TV recommendations: show old favourites and find new ones
Domain adaptation in display advertising: an application for partner cold-start
Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation
Using ratings to profile your health
Automatic playlist continuation using a hybrid recommender system combining features from text and audio
A Hybrid Multi-Agent Conversational Recommender System with LLM and Search Engine in E-commerce
Robust User Engagement Modeling With Transformers and Self Supervision
A Coverage-Based Approach to Recommendation Diversity On Similarity Graph
Exploring Clustering of Bandits for Online Recommendation System
An Incremental Learning framework for Large-scale CTR Prediction
Increasing engagement through early recommender intervention
A user-centric evaluation framework for recommender systems
Stream Normalization for CTR Prediction
Three recommender approaches to interface controls reduction
Serendipity in Recommender Systems Beyond the Algorithm: a Feature Repository and Experimental Design
Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation
An ensemble method for job recommender systems
Pessimistic Reward Models for Off-Policy Learning in Recommendation
Personalized Voice Search for Internet TV
A generative model for review-based recommendations
MARec: Metadata Alignment for cold-start Recommendation
Can Editorial Decisions Impair Journal Recommendations? Analysing the Impact of Journal Characteristics on Recommendation Systems
On Target Item Sampling in Offline Recommender System Evaluation
Uncovering functional dependencies in MDD-compiled product catalogues
User Controlled News Recommendations
Leveraging Geometric Insights in Hyperbolic Triplet Loss for Improved Recommendations
Workshop on Recommendation in Complex Scenarios (ComplexRec 2017)
Characterisation of explicit feedback in an online music recommendation service
The Effect of Personality Traits on Persuading Recommender System Users
Pay Attention to Attention for Sequential Recommendation
Memory Networks for Recommendation
Ghosting: contextualized inline query completion in large scale retail search
Each to his own: how different users call for different interaction methods in recommender systems
Learning geometry-aware recommender systems with manifold regularization
A Hybrid Recommendation System Based on Human Curiosity
Efficient K-NN for Playlist Continuation
Fast and Examination-agnostic Reciprocal Recommendation in Matching Markets
Recommendations in Travel
Controlled experimentation in recommendations, ranking & response prediction
Third international workshop on health recommender systems (healthrecsys 2018)
The Embeddings That Came in From the Cold: Improving Vectors for New and Rare Products with Content-Based Inference
The long tail of recommender systems and how to leverage it
Workshop on recommender systems for technology enhanced learning
Modeling the dynamics of user preferences in coupled tensor factorization
Generalized User Representations for Large-Scale Recommendations and Downstream Tasks
Personalized activity streams: sifting through the "river of news"
Workshop on recommender systems and the social web
No more ready-made deals: constructive recommendation for telco service bundling
Case study on the business value impact of personalized recommendations on a large online retailer
Towards More Impactful Recommender Systems Research
A recommender system to provide adaptive and inclusive standard-based support along the elearning life cycle
Exploiting Geo-Spatial Preference for Personalized Expert Recommendation
Enhancing Online Ranking Systems via Multi-Surface Co-Training for Content Understanding
4th workshop on context-aware recommender systems (CARS 2012)
Modeling User Session and Intent with an Attention-based Encoder-Decoder Architecture
div2vec: Diversity-Emphasized Node Embedding
Detecting Trending Venues Using Foursquare's Data
End-to-End Time Interval-wise Segmentation for Sequential Recommendation
Beyond User Preferences: The Short-Term Behaviour Modelling
EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations
Recommender systems for e-governance in smart cities: state of the art and research opportunities
REVEAL 2020: Bandit and Reinforcement Learning from User Interactions
Latent dirichlet allocation for tag recommendation
Enhancing collaborative filtering systems with personality information
A Deep Multimodal Approach for Cold-start Music Recommendation
Adherence and Constancy in LIME-RS Explanations for Recommendation (Long paper)
CitRec 2017: International Workshop on Recommender Systems for Citizens
Bayesian Perspectives on Offline Evaluation for Recommender Systems
BlurMe: inferring and obfuscating user gender based on ratings
MovieTweeters: An Interactive Interface to Improve Recommendation Novelty
Supporting social recommendations with activity-balanced clustering
Estimating Quantum Execution Requirements for Feature Selection in Recommender Systems Using Extreme Value Theory
Unbiased Learning for the Causal Effect of Recommendation