Yelp
Canonical35papers using it
2014first seen
Yelp is a platform that contains user-generated reviews and ratings of businesses, which is used to evaluate and improve sentiment-aware recommendation systems.
Papers using Yelp (35)
- Exploring the Effect of Context-Awareness and Popularity Calibration on Popularity Bias in POI RecommendationsDistance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical RecommendationDeepSentRec: a deep learning-based sentiment-aware product recommendation systemFastPFRec: A Fast Personalized Federated Recommendation with Secure SharingChainRec: An Agentic Recommender Learning to Route Tool Chains for Diverse and Evolving InterestsA Simple yet Effective Negative Sampling Plugin for Constructing Positive Sample Pairs in Implicit Collaborative FilteringPrivacy-Utility-Bias Trade-offs for Privacy-Preserving Recommender SystemsAgenticRAG: Tool-Augmented Foundation Models for Zero-Shot Explainable Recommender SystemsRecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer RecommendationsResearch on Conversational Recommender System Considering Consumer TypesA Framework for Generating Conversational Recommendation Datasets from Behavioral InteractionsLISRec: Modeling User Preferences with Learned Item Shortcuts for Sequential RecommendationAgentSociety Challenge: Designing LLM Agents for User Modeling and
Recommendation on Web PlatformsEstimation-Action-Reflection: Towards Deep Interaction Between
Conversational and Recommender SystemsMulti-Pointer Co-Attention Networks for RecommendationExplainable Recommendation via Multi-Task Learning in Opinionated Text
DataModelling High-Order Social Relations for Item RecommendationLeveraging Social Influence based on Users Activity Centers for
Point-of-Interest RecommendationCollaborative Filtering with Social Local ModelsLeveraging Review Properties for Effective RecommendationThe Unfairness of Active Users and Popularity Bias in Point-of-Interest
RecommendationInfer Implicit Contexts in Real-time Online-to-Offline RecommendationMulti-faceted Trust-based Collaborative FilteringExploring the Impact of Temporal Bias in Point-of-Interest
RecommendationUncertainty-Aware Explainable Recommendation with Large Language ModelsFAST: A Fairness Assured Service Recommendation Strategy Considering
Service Capacity ConstraintActive Learning in Recommendation Systems with Multi-level User
PreferencesRating and aspect-based opinion graph embeddings for explainable
recommendationsDynamic Collaborative Filtering with Compound Poisson FactorizationPoint of Interest Recommendation Methods in Location Based Social
Networks: Traveling to a new geographical regionILCR: Item-based Latent Factors for Sparse Collaborative RetrievalRecommending Burgers based on Pizza Preferences: Addressing Data
Sparsity with a Product of ExpertsGraphing else matters: exploiting aspect opinions and ratings in
explainable graph-based recommendationsUser-Controllable Recommendation via Counterfactual Retrospective and
Prospective ExplanationsUserSumBench: A Benchmark Framework for Evaluating User Summarization
Approaches