yusuke1997/dblp-id-title huggingface dataset:
BVAE: Behavior-aware Variational Autoencoder for Multi-Behavior Multi-Task Recommendation
HeyStaks: a real-world deployment of social search
Secure Multi-Party Protocols for Item-Based Collaborative Filtering
How to Evaluate Serendipity in Recommender Systems: the Need for a Serendiptionnaire
Proceedings of the 3rd Workshop on Emotions and Personality in Personalized Systems, EMPIRE 2015, Vienna, Austria, September 16-20, 2015
Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization in CTR Prediction
Query intent prediction and recommendation
Using Facial Recognition Services as Implicit Feedback for Recommenders
Recommendation analytics: the business view, and the business case
Long-tail Session-based Recommendation
A College Major Recommendation System
Calibrating the Predictions for Top-N Recommendations
Scalable Exploration of Relevance Prospects to Support Decision Making
Cognitive company discovery
Attacking item-based recommender systems with power items
A probabilistic model for intrusive recommendation assessment
Stalactite: toolbox for fast prototyping of vertical federated learning systems
Fairness and Transparency in Music Recommender Systems: Improvements for Artists
Online Learning to Rank for Recommender Systems
PushTrust: An Efficient Recommendation Algorithm by Leveraging Trust and Distrust Relations
FeedbackTrust: using feedback effects in trust-based recommendation systems
9th International Workshop on News Recommendation and Analytics
Parsimonious and Adaptive Contextual Information Acquisition in Recommender Systems
Review quality aware collaborative filtering
Linear and Non-Linear Models for Purchase Prediction
Boosting algorithms for a session-based, context-aware recommender system in an online travel domain
MuRS: 3rd Music Recommender Systems Workshop
FriendSensing: recommending friends using mobile phones
Personalized Persuasion-Aware Explanations in Recommender Systems
History-Augmented Collaborative Filtering for Financial Recommendations
Social recommender system tutorial
Recommender Systems for Digital Humanities and Archives: Multistakeholder Evaluation, Scholarly Information Needs, and Multimodal Similarity
Towards the Recommendation of Personalised Activity Sequences in the Tourism Domain
Latent factor models and aggregation operators for collaborative filtering in reciprocal recommender systems
A Pre-trained Zero-shot Sequential Recommendation Framework via Popularity Dynamics
Eye-tracking product recommenders' usage
StoryTime: eliciting preferences from children for book recommendations
Tag-augmented Dual-target Cross-domain Recommendation
Why the Shooting in the Dark Method Dominates Recommender Systems Practice
Recommendation systems compliant with legal and editorial policies: the BBC+ app journey
Botcha: Detecting Malicious Non-Human Traffic in the Wild
Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation
Revisiting LightGCN: Unexpected Inflexibility, Inconsistency, and A Remedy Towards Improved Recommendation
Prior ratings: a new information source for recommender systems in e-commerce
Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023
An attentive RNN model for session-based and context-aware recommendations: a solution to the RecSys challenge 2019
Using graph partitioning techniques for neighbour selection in user-based collaborative filtering
Recommendations as a conversation with the user
Nantonac collaborative filtering: a model-based approach
Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'22)
Efficient Bayesian Methods for Graph-based Recommendation
Recommendations with prerequisites
Personalised ranking with diversity
Pairwise preference regression for cold-start recommendation
Learning to recommend diverse items over implicit feedback on PANDOR
Interacting with Recommenders
Leveraging Monte Carlo Tree Search for Group Recommendation
RecSys'16 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems
ConFit: Improving Resume-Job Matching using Data Augmentation and Contrastive Learning
Scalable Data Debugging for Neighborhood-based Recommendation with Data Shapley Values
Module advisor: a hybrid recommender system for elective module exploration
User Preferences Analysis Using Visual Stimuli
Does the User Have A Theory of the Recommender? A Pilot Study
Estimating Long-term Effects from Experimental Data
Enhancing News Recommendation with Real-Time Feedback and Generative Sequence Modeling
User Knowledge Prompt for Sequential Recommendation
KRED: Knowledge-Aware Document Representation for News Recommendations
Personalization for Google Now: User Understanding and Application to Information Recommendation and Exploration
The Unfairness of Popularity Bias in Recommendation
Critiquing recommenders for public taste products
Time-Aware Item Weighting for the Next Basket Recommendations
Rival: a toolkit to foster reproducibility in recommender system evaluation
A spatio-temporal approach to collaborative filtering
FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions, all Viewed Items and Click Responses/No-Click for Recommender Systems Research
Recommender algorithms in activity motivating games
POI Recommendation: Towards Fused Matrix Factorization with Geographical and Temporal Influences
Personalization challenges in e-Learning
CONSEQUENCES - The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems
Adaptive Pointwise-Pairwise Learning-to-Rank for Content-based Personalized Recommendation
Personalizing the settings for Cf-based recommender systems
Initiative transfer in conversational recommender systems
Exploring Effect-Size-Based Meta-Analysis for Multi-Dataset Evaluation
Beyond Visit Trajectories: Enhancing POI Recommendation via LLM-Augmented Text and Image Representations
Keynote: Capturing User Interests for Content-based Recommendations
LORE: a large-scale offer recommendation engine with eligibility and capacity constraints
Learning to Ride a Buy-Cycle: A Hyper-Convolutional Model for Next Basket Repurchase Recommendation
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)
Towards Automatic Meal Plan Recommendations for Balanced Nutrition
Adaptive social similarities for recommender systems
Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2016, Boston, MA, USA, September 15, 2016
Crowd Sourcing, with a Few Answers: Recommending Commuters for Traffic Updates
Fast Differentially Private Matrix Factorization
Evolving friend lists in social networks
Proceedings of the Recommender Systems Challenge 2024, RecSysChallenge 2024, Bari, Italy, October 14-18, 2024
Post-hoc Explanations for Complex Model Recommendations using Simple Methods
Mitigating Targeting Bias in Content Recommendation with Causal Bandits
Enhancing Online Video Recommendation via a Coarse-to-fine Dynamic Uplift Modeling Framework
Opinionated Product Recommendation: Mining User-Generated Reviews for Recommendation Knowledge
Incorporating Dwell Time in Session-Based Recommendations with Recurrent Neural Networks
Affect-aware Cross-Domain Recommendation for Art Therapy via Music Preference Elicitation
Precision-oriented evaluation of recommender systems: an algorithmic comparison
Eliciting the users' unknown preferences
Model Meets Knowledge: Analyzing Knowledge Types for Conversational Recommender Systems
A Delay-Robust Touristic Plan Recommendation Using Real-World Public Transportation Information
A new approach to evaluating novel recommendations
FAccTRec 2025: The 8th Workshop on Responsible Recommendation
Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios
Learning content and usage factors simultaneously to reduce clickbaits
Fast and Accurate User Cold-Start Learning Using Monte Carlo Tree Search
A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation
Enhancing News Recommendation with Transformers and Ensemble Learning
Online Recommender Systems: Is the Juice Worth the Squeeze?
Towards a dynamic top-N recommendation framework
"Who doesn't like dinosaurs?" Finding and Eliciting Richer Preferences for Recommendation
Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation
Design and evaluation of a client-side recommender system
ORSUM 2022 - 5th Workshop on Online Recommender Systems and User Modeling
LLM-Powered Nuanced Video Attribute Annotation for Enhanced Recommendations
A probabilistic definition of item similarity
A case study on the effectiveness of recommendations in the mobile internet
Beyond Immediate Click: Engagement-Aware and MoE-Enhanced Transformers for Sequential Movie Recommendation
Ex2Vec: Characterizing Users and Items from the Mere Exposure Effect
Nonlinear latent factorization by embedding multiple user interests
Training and Deploying Multi-Stage Recommender Systems
Recommendation in home improvement industry, challenges and opportunities
FReSET: an evaluation framework for folksonomy-based recommender systems
Field-aware Factorization Machines for CTR Prediction
Reducing Cross-Topic Political Homogenization in Content-Based News Recommendation
Investigating Carbon Footprint of Recommender Systems Beyond Training Time
Eigentaste 5.0: constant-time adaptability in a recommender system using item clustering
Second workshop on information heterogeneity and fusion in recommender systems (HetRec2011)
Does It Look Sequential? An Analysis of Datasets for Evaluation of Sequential Recommendations
Recommendation Is a Dish Better Served Warm
Group Fairness for Content Creators: the Role of Human and Algorithmic Biases under Popularity-based Recommendations
SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation
Context-based Entity Recommendation for Knowledge Workers: Establishing a Benchmark on Real-life Data
Exploring author gender in book rating and recommendation
Multi-Perspective Modeling for Click Event Prediction
Exploiting the characteristics of matrix factorization for active learning in recommender systems
Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items
Fast als-based matrix factorization for explicit and implicit feedback datasets
Towards an open, collaborative REST API for recommender systems
Collaborative Interest Modeling in Recommender Systems
MORS 2021 - 1st Workshop on Multi-Objective Recommender Systems
Designing Interactive Visualizations of Personalized Review Data for a Hotel Recommender System
Measuring anti-relevance: a study on when recommendation algorithms produce bad suggestions
TouRS'15: Workshop on Tourism Recommender Systems
Navigation support for learners in informal learning environments
Generation-based vs. Retrieval-based Conversational Recommendation: A User-Centric Comparison
Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems
A market-based approach to address the new item problem
A Generalized Probabilistic Framework and its Variants for Training Top-k Recommender System
Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation
Itinerary Recommendation for Cruises: User Study
Tell me where to go and what to do next, but do not bother me
Uncovering ChatGPT's Capabilities in Recommender Systems
Dynamic personalized recommendation of comment-eliciting stories
Matrix factorization and neighbor based algorithms for the netflix prize problem
Evaluating Decision-Aware Recommender Systems
A Recommender System to tackle Enterprise Collaboration
Second workshop on large-scale recommender systems: research and best practice (LSRS 2014)
Narrative-Driven Itinerary Recommendation: LLM Integration for Immersive Urban Walking
Modeling the effect of people's preferences and social forces on adopting and sharing items
Recommenders' influence on buyers' decision process
Social collaborative filtering for cold-start recommendations
LyricLure: Mining Catchy Hooks in Song Lyrics to Enhance Music Discovery and Recommendation
Defining a Meaningful Baseline for News Recommender Systems
Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM
FISSA: Fusing Item Similarity Models with Self-Attention Networks for Sequential Recommendation
Targeting more relevant, contextual recommendations by exploiting domain knowledge
Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID
A kernel-based approach to exploiting interaction-networks in heterogeneous information sources for improved recommender systems
TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation
Improving top-n recommendation techniques using rating variance
concept2code: Sequential Recommendation with Large Language Models
In-House Solution for the RecSys Challenge 2015
Voicing Concerns: User-Specific Pitfalls of Favoring Voice over Text in Conversational Recommender Systems (Short paper)
Joint User Modeling across Aligned Heterogeneous Sites
Can Trailers Help to Alleviate Popularity Bias in Choice-Based Preference Elicitation?
Bandit algorithms in recommender systems
Multi-Granularity Distribution Modeling for Video Watch Time Prediction via Exponential-Gaussian Mixture Network
PaRIS: Polarization-aware Recommender Interactive System
A User-Centered Investigation of Personal Music Tours
Addressing delayed feedback for continuous training with neural networks in CTR prediction
t -Testing the Waters: Empirically Validating Assumptions for Reliable A/B-Testing
CrimeWalker: a recommendation model for suspect investigation
ImRec: Learning Reciprocal Preferences Using Images
The art of drafting: a team-oriented hero recommendation system for multiplayer online battle arena games
The 1st International Workshop on Temporal Reasoning in Recommender Systems
Using Learnable Physics for Real-Time Exercise Form Recommendations
CARD: a decision-guidance framework and application for recommending composite alternatives
Effects of personal characteristics on music recommender systems with different levels of controllability
11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'24)
Is It Really Complementary? Revisiting Behavior-based Labels for Complementary Recommendation
Educational Question Routing in Online Student Communities
Scientific Challenges, Practical Methodologies and Policy Perspectives for Trustworthy Artificial Intelligence
USD: A User-Intent-Driven Sampling and Dual-Debiasing Framework for Large-Scale Homepage Recommendations
Towards Effective Exploration/Exploitation in Sequential Music Recommendation
4th Workshop on Emotions and Personality in Personalized Systems (EMPIRE)
Neural Re-ranking for Multi-stage Recommender Systems
A Neighbourhood-based Location- and Time-aware Recommender System
Context-aware review helpfulness rating prediction
DIVAN: Deep-Interest Virality-Aware Network to Exploit Temporal Dynamics in News Recommendation
Understanding user interactions with podcast recommendations delivered via voice
Hessian-aware Quantized Node Embeddings for Recommendation
Embedding Optimization for Training Large-scale Deep Learning Recommendation Systems with EMBark
Proceedings of the Workshop on ACM Recommender Systems Challenge, Copenhagen, Denmark, September 2019
Proceedings of the 5th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, IntRS 2018, co-located with ACM Conference on Recommender Systems (RecSys 2018), Vancouver, Canada, October 7, 2018
Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders
LLMs for User Interest Exploration in Large-scale Recommendation Systems
Data Access for Recommender Systems Research: leveraging the EU's Digital Services Act
Relaxed softmax for PU learning
Item-to-item Recommendations at Pinterest
Local context modeling with semantic pre-filtering
Information Overload and User Satisfaction: Balance Between Reliance on Recommendations and Deliberate News Selection
Lightweight and Scalable Model for Tweet Engagements Predictions in a Resource-constrained Environment
Follow the guides: disentangling human and algorithmic curation in online music consumption
Normative Alignment of Recommender Systems via Internal Label Shift
Oh, Behave! Country Representation Dynamics Created by Feedback Loops in Music Recommender Systems
Making Session-based News Recommenders Diversity-aware
A Recommendation-Based Book-Exchange System Without Using Wish Lists
A Novel Recommender System for Helping Marathoners to Achieve a New Personal-Best
PERSPeCT: collaborative filtering for tailored health communications
iTag: a personalized blog tagger
The Value of Online Customer Reviews
On the Importance of News Content Representation in Hybrid Neural Session-based Recommender Systems
AIR: Personalized Product Recommender System for Nike's Digital Transformation
Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation
A system for advice provision in multiple prospectselection problems
Up close and personalized: a marketing view of recommendation systems
Simplifying Privacy Decisions: Towards Interactive and Adaptive Solutions
Less is More: Towards Sustainability-Aware Persuasive Explanations in Recommender Systems
RecSys challenge 2019: session-based hotel recommendations
Using twitter to recommend real-time topical news
Disentangling User and Item Sequence Patterns in Sequential Recommendation Data Sets
A Systematic Review of the Use of Multiple Criteria Decision Aiding Methods in Recommender Systems: Preliminary Results
Auditing Recommender Systems for User Empowerment in Very Large Online Platforms under the Digital Services Act
Capturing Performance and Privacy by Assembling Avengers of Online Advertising
The XITE Million Sessions Dataset
Crafting the initial user experience to achieve community goals
Product Recommendations Enhanced with Reviews
On the discriminative power of hyper-parameters in cross-validation and how to choose them
Knowledge-aware Recommendations Based on Neuro-Symbolic Graph Embeddings and First-Order Logical Rules
On gossip-based information dissemination in pervasive recommender systems
Do You Have a Pop Face? Here is a Pop Song. Using Profile Pictures to Mitigate the Cold-start Problem in Music Recommender Systems
Evaluating Recommender Systems with and for Children: towards a Multi-Perspective Framework
2nd workshop on recommendation in complex scenarios (complexrec 2018)
ACM RecSys Challenge 2023, Singapore, 19 September 2023
Integrating tags in a semantic content-based recommender
On the Use of Weighted Mean Absolute Error in Recommender Systems
Effective event discovery: using location and social information for scoping event recommendations
Towards Understanding Latent Factors and User Profiles by Enhancing Matrix Factorization with Tags
Fairness-aware Recommendation with librec-auto
Taxonomic Recommendations of Real Estate Properties with Textual Attribute Information
PathRec: Visual Analysis of Travel Route Recommendations
Affective Computing and Bandits: Capturing Context in Cold Start Situations
Maximal Likelihood Itinerary Planning with User Interaction Data
Ensemble contextual bandits for personalized recommendation
MPR: Multi-Objective Pairwise Ranking
Horizontal Cross-Silo Federated Recommender Systems
Proceedings of the Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), Boston, MA, USA, September 16, 2016
Third Workshop on Recommender Systems for Human Resources (RecSys in HR 2023)
Preference elicitation with subjective features
Conceptual Impact-Based Recommender System for CiteSeerx
Global budgets for local recommendations
Fairness-aware Federated Matrix Factorization
Enlister: baidu's recommender system for the biggest chinese Q&A website
An approach to context-based recommendation in software development
Interactive Visualization of the Polarity-based Stance of News Websites using News Genres (short paper)
Don't Get Ahead of Yourself: A Critical Study on Data Leakage in Offline Evaluation of Sequential Recommenders
User Preferences for Hybrid Explanations
Recommending user generated item lists
Personalized recommendations in e-participation: offline experiments for the 'Decide Madrid' platform
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation
A fast parallel SGD for matrix factorization in shared memory systems
Learning Recommendations from User Actions in the Item-poor Insurance Domain
Rethinking the Privacy of Text Embeddings: A Reproducibility Study of "Text Embeddings Reveal (Almost) As Much As Text"
Opening the Black Box: Interpretable Remedies for Popularity Bias in Recommender Systems
Gradient Boosting and Language Model Ensemble for Tweet Recommendation
DynamicTV: a culture-aware recommender
Online dating recommender systems: the split-complex number approach
Knowledge-Enhanced Multi-Behaviour Contrastive Learning for Effective Recommendation
Mining Social Networks to Learn about Rumors, Hate Speech, Bias and Polarization - Abstract
Reciprocal recommender system for online dating
Workshop on Context-Aware Recommender Systems (CARS) 2024
Human-Recommender Systems: From Benchmark Data to Benchmark Cognitive Models
DREAM: Decoupled Representation via Extraction Attention Module and Supervised Contrastive Learning for Cross-Domain Sequential Recommender
Iterative Smoothing Technique for Improving the Stability of Recommender Systems
Evolutionary approach for 'healthy bundle' wellbeing recommendations
Learning Personalized Health Recommendations via Offline Reinforcement Learning
WrapRec: an easy extension of recommender system libraries
On the robustness and discriminative power of information retrieval metrics for top-N recommendation
Measuring Commonality in Recommendation of Cultural Content: Recommender Systems to Enhance Cultural Citizenship
Computer Security Training Recommender for Developers
Exploring Statistical Language Models for Recommender Systems
Unsupervised retrieval of attack profiles in collaborative recommender systems
Integrating Offline Reinforcement Learning with Transformers for Sequential Recommendation
Explanation Chains: Recommendations by Explanation
InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models
Bayesian Value Based Recommendation: A modelling based alternative to proxy and counterfactual policy based recommendation
REVEAL 2019: closing the loop with the real world: reinforcement and robust estimators for recommendation
ArtAICare: An End-to-End Platform for Personalized Art Therapy
Towards Health-Aware Fairness in Food Recipe Recommendation
Assisting Emergent Readers in Finding Books to Read
Scaling Law of Large Sequential Recommendation Models
Widespread Flaws in Offline Evaluation of Recommender Systems
Local Item-Item Models For Top-N Recommendation
Bias in Book Recommendation
The Exploit-Explore Dilemma in Music Recommendation
End-to-End Learning for Conversational Recommendation: A Long Way to Go?
Workshop on Recommenders in Tourism (RecTour) 2024
Tagmantic: a social recommender service based on semantic tag graphs and tag clusters
Balancing Accuracy and Novelty with Sub-Item Popularity
PodRecs 2021: 2nd Workshop on Podcast Recommendations
Bayesian Optimization with LLM-Based Acquisition Functions for Natural Language Preference Elicitation
Recommender Systems with Personality
Conversational recommenders with adaptive suggestions
Preference-oriented Social Networks: Group Recommendation and Inference
CSLIM: contextual SLIM recommendation algorithms
HUMMUS: A Linked, Healthiness-Aware, User-centered and Argument-Enabling Recipe Data Set for Recommendation
Wisdom of the better few: cold start recommendation via representative based rating elicitation
Incremental collaborative filtering via evolutionary co-clustering
Never Miss an Episode: How LLMs are Powering Serial Content Discovery on YouTube