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Toward Comprehensive User and Item Representations via Three-tier Attention Network

https://doi.org/10.1145/3446341
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-18590-9_46openalex-snapshot
Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors
inferredcites →https://doi.org/10.1007/978-3-540-72079-9_9openalex-snapshot
Collaborative Filtering Recommender Systems
inferredcites →https://doi.org/10.1016/j.neucom.2019.09.052openalex-snapshot
Hybrid neural recommendation with joint deep representation learning of ratings and reviews
inferredcites →https://doi.org/10.1109/icdm.2008.16openalex-snapshot
One-Class Collaborative Filtering
inferredcites →https://doi.org/10.1109/icdm.2010.127openalex-snapshot
Factorization Machines
inferredcites →https://doi.org/10.1109/icdm.2018.00035openalex-snapshot
Self-Attentive Sequential Recommendation
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/mic.2003.1167344openalex-snapshot
Amazon.com recommendations: item-to-item collaborative filtering
inferredcites →https://doi.org/10.1145/1273496.1273596openalex-snapshot
Restricted Boltzmann machines for collaborative filtering
inferredcites →https://doi.org/10.1145/1401890.1401944openalex-snapshot
Factorization meets the neighborhood
inferredcites →https://doi.org/10.1145/2507157.2507163openalex-snapshot
Hidden factors and hidden topics
inferredcites →https://doi.org/10.1145/2623330.2623758openalex-snapshot
Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS)
inferredcites →https://doi.org/10.1145/2891406openalex-snapshot
Recommender systems — beyond matrix completion
inferredcites →https://doi.org/10.1145/2911451.2911489openalex-snapshot
Fast Matrix Factorization for Online Recommendation with Implicit Feedback
inferredcites →https://doi.org/10.1145/2959100.2959165openalex-snapshot
Convolutional Matrix Factorization for Document Context-Aware Recommendation
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3109859.3109878openalex-snapshot
TransNets
inferredcites →https://doi.org/10.1145/3109859.3109890openalex-snapshot
Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction
inferredcites →https://doi.org/10.1145/3178876.3186070openalex-snapshot
Neural Attentional Rating Regression with Review-level Explanations
inferredcites →https://doi.org/10.1145/3178876.3186145openalex-snapshot
Aspect-Aware Latent Factor Model
inferredcites →https://doi.org/10.1145/3178876.3186158openalex-snapshot
Coevolutionary Recommendation Model
inferredcites →https://doi.org/10.1145/3219819.3219823openalex-snapshot
Deep Interest Network for Click-Through Rate Prediction
inferredcites →https://doi.org/10.1145/3219819.3220086openalex-snapshot
Multi-Pointer Co-Attention Networks for Recommendation
inferredcites →https://doi.org/10.1145/3233773openalex-snapshot
A Deep Bayesian Tensor-Based System for Video Recommendation
inferredcites →https://doi.org/10.1145/3269206.3271810openalex-snapshot
ANR
inferredcites →https://doi.org/10.1145/3291060openalex-snapshot
MMALFM
inferredcites →https://doi.org/10.1145/3292500.3330906openalex-snapshot
DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation
inferredcites →https://doi.org/10.1145/3298988openalex-snapshot
A Context-Aware User-Item Representation Learning for Item Recommendation
inferredcites →https://doi.org/10.1145/3331184.3331216openalex-snapshot
A Capsule Network for Recommendation and Explaining What You Like and Dislike
inferredcites →https://doi.org/10.1145/3331184.3331371openalex-snapshot
NRPA
inferredcites →https://doi.org/10.1145/3616855openalex-snapshot
Proceedings of the 17th ACM International Conference on Web Search and Data Mining
inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot
Item-based collaborative filtering recommendation algorithms
inferredcites →https://doi.org/10.1145/963770.963776openalex-snapshot
Item-based top- N recommendation algorithms
inferredcites →https://doi.org/10.48550/arxiv.1802.07938openalex-snapshot
Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-92635-9_17openalex-snapshot
Improving Recommender System via Personalized Reconstruction of Reviews
inferred← citeshttps://doi.org/10.1007/978-3-031-00126-0_8openalex-snapshot
PMAR: Multi-aspect Recommendation Based on Psychological Gap
inferred← citeshttps://doi.org/10.1007/978-3-032-11957-5_18openalex-snapshot
A Lightweight Attention-MLP Ensemble for Interpretable Bank Customer Churn Prediction
inferred← citeshttps://doi.org/10.1007/978-981-96-8298-0_27openalex-snapshot
Bot Wars Evolved: Orchestrating Competing LLMs in a Counterstrike Against Phone Scams
inferred← citeshttps://doi.org/10.1007/978-981-97-5489-2_23openalex-snapshot
Diffusion Review-Based Recommendation
inferred← citeshttps://doi.org/10.1007/s44443-026-01221-4openalex-snapshot
LRGCL: LLM-refined graph contrastive learning for review-based recommendation
inferred← citeshttps://doi.org/10.1016/j.im.2026.104431openalex-snapshot
Deciphering user preferences: A large language model-based disentangled graph model for explainable review-based recommendation
inferred← citeshttps://doi.org/10.1016/j.ins.2021.12.120openalex-snapshot
SENGR: Sentiment-Enhanced Neural Graph Recommender
inferred← citeshttps://doi.org/10.1016/j.ins.2024.120655openalex-snapshot
Aspect-level item recommendation based on user reviews with variational autoencoders
inferred← citeshttps://doi.org/10.1016/j.ipm.2022.103166openalex-snapshot
Analyzing review sentiments and product images by parallel deep nets for personalized recommendation
inferred← citeshttps://doi.org/10.1016/j.neucom.2023.126614openalex-snapshot
SMAR: Summary-Aware Multi-Aspect Recommendation
inferred← citeshttps://doi.org/10.1109/access.2023.3305954openalex-snapshot
An Enhanced Recommendation Model Based on Review Text Graph and Interaction Graph
inferred← citeshttps://doi.org/10.1109/tkde.2024.3350447openalex-snapshot
Explainable Recommender With Geometric Information Bottleneck
inferred← citeshttps://doi.org/10.1145/3583780.3614770openalex-snapshot
A Two-tier Shared Embedding Method for Review-based Recommender Systems
inferred← citeshttps://doi.org/10.1145/3701551.3703528openalex-snapshot
An Aspect Performance-aware Hypergraph Neural Network for Review-based Recommendation
inferred← citeshttps://doi.org/10.1145/3742421openalex-snapshot
Review-based Recommender Systems: A Survey of Approaches, Challenges and Future Perspectives
inferred← citeshttps://doi.org/10.1145/3744661openalex-snapshot
Review-Aware Recommender Systems (RARSs): Recent Advances, Experimental Comparative Analysis, Discussions, and New Directions
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