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Social Collaborative Viewpoint Regression with Explainable Recommendations

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What this work says

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

inferredcites →https://doi.org/10.1002/asi.21662openalex-snapshot

Sentiment strength detection for the social web

inferredcites →https://doi.org/10.1007/978-0-387-85820-3_15openalex-snapshot

Designing and Evaluating Explanations for Recommender Systems

inferredcites →https://doi.org/10.1007/978-0-387-85820-3_3openalex-snapshot

Content-based Recommender Systems: State of the Art and Trends

inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot

Matrix Factorization Techniques for Recommender Systems

inferredcites →https://doi.org/10.1109/tpami.2013.50openalex-snapshot

Representation Learning: A Review and New Perspectives

inferredcites →https://doi.org/10.1109/tpami.2016.2605085openalex-snapshot

Social Collaborative Filtering by Trust

inferredcites →https://doi.org/10.1126/science.1127647openalex-snapshot

Reducing the Dimensionality of Data with Neural Networks

inferredcites →https://doi.org/10.1145/1143844.1143967openalex-snapshot

Topic modeling

inferredcites →https://doi.org/10.1145/1341531.1341561openalex-snapshot

A holistic lexicon-based approach to opinion mining

inferredcites →https://doi.org/10.1145/1502650.1502661openalex-snapshot

Tagsplanations

inferredcites →https://doi.org/10.1145/1571941.1571977openalex-snapshot

On social networks and collaborative recommendation

inferredcites →https://doi.org/10.1145/1571941.1571978openalex-snapshot

Learning to recommend with social trust ensemble

inferredcites →https://doi.org/10.1145/1864708.1864736openalex-snapshot

A matrix factorization technique with trust propagation for recommendation in social networks

inferredcites →https://doi.org/10.1145/1864708.1864764openalex-snapshot

List-wise learning to rank with matrix factorization for collaborative filtering

inferredcites →https://doi.org/10.1145/192844.192905openalex-snapshot

GroupLens

inferredcites →https://doi.org/10.1145/1963405.1963481openalex-snapshot

Like like alike

inferredcites →https://doi.org/10.1145/2020408.2020480openalex-snapshot

Collaborative topic modeling for recommending scientific articles

inferredcites →https://doi.org/10.1145/2339530.2339772openalex-snapshot

MoodLens

inferredcites →https://doi.org/10.1145/2348283.2348372openalex-snapshot

Collaborative personalized tweet recommendation

inferredcites →https://doi.org/10.1145/2348283.2348373openalex-snapshot

Exploring social influence for recommendation

inferredcites →https://doi.org/10.1145/2365952.2365981openalex-snapshot

CLiMF

inferredcites →https://doi.org/10.1145/2488388.2488487openalex-snapshot

Do social explanations work?

inferredcites →https://doi.org/10.1145/2488388.2488520openalex-snapshot

Localized matrix factorization for recommendation based on matrix block diagonal forms

inferredcites →https://doi.org/10.1145/2507157.2507163openalex-snapshot

Hidden factors and hidden topics

inferredcites →https://doi.org/10.1145/2566486.2568040openalex-snapshot

CoBaFi

inferredcites →https://doi.org/10.1145/2600428.2609579openalex-snapshot

Explicit factor models for explainable recommendation based on phrase-level sentiment analysis

inferredcites →https://doi.org/10.1145/2623330.2623758openalex-snapshot

Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS)

inferredcites →https://doi.org/10.1145/2645710.2645728openalex-snapshot

Ratings meet reviews, a combined approach to recommend

inferredcites →https://doi.org/10.1145/2661829.2662059openalex-snapshot

Collaborative Filtering Incorporating Review Text and Co-clusters of Hidden User Communities and Item Groups

inferredcites →https://doi.org/10.1145/2736277.2741077openalex-snapshot

Who, What, When, and Where

inferredcites →https://doi.org/10.1145/2766462.2767693openalex-snapshot

Listwise Collaborative Filtering

inferredcites →https://doi.org/10.1145/2766462.2767713openalex-snapshot

Summarizing Contrastive Themes via Hierarchical Non-Parametric Processes

inferredcites →https://doi.org/10.1145/2806416.2806474openalex-snapshot

Ad Hoc Monitoring of Vocabulary Shifts over Time

inferredcites →https://doi.org/10.1145/2806416.2806504openalex-snapshot

TriRank

inferredcites →https://doi.org/10.1145/2983323.2983710openalex-snapshot

Time-aware Multi-Viewpoint Summarization of Multilingual Social Text Streams

inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot

Item-based collaborative filtering recommendation algorithms

inferredcites →https://doi.org/10.1155/2009/421425openalex-snapshot

A Survey of Collaborative Filtering Techniques

inferredcites →https://doi.org/10.1609/aaai.v28i1.8703openalex-snapshot

Context-Aware Collaborative Topic Regression with Social Matrix Factorization for Recommender Systems

inferredcites →https://doi.org/10.18653/v1/d13-1170openalex-snapshot

Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank

inferredcites →https://doi.org/10.18653/v1/d15-1167openalex-snapshot

Document Modeling with Gated Recurrent Neural Network for Sentiment Classification

inferredcites →https://doi.org/10.18653/v1/n16-3020openalex-snapshot

“Why Should I Trust You?”: Explaining the Predictions of Any Classifier

inferredcites →https://doi.org/10.2200/s00654ed1v01y201507icr043openalex-snapshot

Click Models for Web Search

inferredcites →https://doi.org/10.3115/1073083.1073153openalex-snapshot

Thumbs up or thumbs down?

inferredcites →https://doi.org/10.3115/1118693.1118704openalex-snapshot

Thumbs up?

inferredcites →https://doi.org/10.3115/v1/p14-1146openalex-snapshot

Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification

inferredcites →https://doi.org/10.48550/arxiv.1301.3781openalex-snapshot

Efficient Estimation of Word Representations in Vector Space

inferredcites →https://doi.org/10.48550/arxiv.1304.3405openalex-snapshot

Do Social Explanations Work? Studying and Modeling the Effects of Social Explanations in Recommender Systems

inferredcites →https://doi.org/10.48550/arxiv.cs/0205070openalex-snapshot

Thumbs up? Sentiment Classification using Machine Learning Techniques

inferredcites →https://doi.org/10.48550/arxiv.cs/0212032openalex-snapshot

Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews

inferredcites →https://doi.org/10.5555/944919.944937openalex-snapshot

Latent dirichlet allocation

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4648599openalex-extracted

Cross-Feedback Factorization Recommendation with Reconstructed Features

inferred← citeshttps://doi.org/10.2139/ssrn.4669635openalex-extracted

Improving Competitiveness: A Freelancer-Centric Approach for Recommending Reskilling Strategies

inferred← citeshttps://doi.org/10.1007/978-1-0716-2197-4_12openalex-snapshot

Natural Language Processing for Recommender Systems

inferred← citeshttps://doi.org/10.1007/978-3-030-72113-8_48openalex-snapshot

A Zero Attentive Relevance Matching Network for Review Modeling in Recommendation System

inferred← citeshttps://doi.org/10.1007/978-3-030-73216-5_20openalex-snapshot

Activity Organization Queries for Location-Aware Heterogeneous Information Network

inferred← citeshttps://doi.org/10.1007/978-3-319-96890-2_18openalex-snapshot

UIContextListRank: A Listwise Recommendation Model with Social Contextual Information

inferred← citeshttps://doi.org/10.1007/978-981-13-1882-5_25openalex-snapshot

Improved Feature-Specific Collaborative Filtering Model for the Aspect-Opinion Based Product Recommendation

inferred← citeshttps://doi.org/10.1007/978-981-97-2991-3_5openalex-snapshot

PSL-Based Interpretable Generation Model for Recommendation

inferred← citeshttps://doi.org/10.1007/s00521-022-07689-1openalex-snapshot

Knowledge-aware attentional neural network for review-based movie recommendation with explanations

inferred← citeshttps://doi.org/10.1007/s10618-018-0555-0openalex-snapshot

Labeled Phrase Latent Dirichlet Allocation and its online learning algorithm

inferred← citeshttps://doi.org/10.1007/s10844-018-0511-xopenalex-snapshot

EVE: explainable vector based embedding technique using Wikipedia

inferred← citeshttps://doi.org/10.1007/s10994-024-06699-5openalex-snapshot

Learning to rank aspects and opinions for comparative explanations

inferred← citeshttps://doi.org/10.1007/s11227-022-04635-9openalex-snapshot

Leveraging side information as adjusting embedding to improve user representation for recommendations

inferred← citeshttps://doi.org/10.1007/s11280-019-00683-zopenalex-snapshot

A meta-feature based unified framework for both cold-start and warm-start explainable recommendations

inferred← citeshttps://doi.org/10.1007/s13042-023-01821-wopenalex-snapshot

Recommendation model based on multi-grained interaction that fuses users’ dynamic interests

inferred← citeshttps://doi.org/10.1016/j.eswa.2022.116717openalex-snapshot

AENAR: An aspect-aware explainable neural attentional recommender model for rating predication

inferred← citeshttps://doi.org/10.1016/j.ipm.2019.01.006openalex-snapshot

Item diversified recommendation based on influence diffusion

inferred← citeshttps://doi.org/10.1016/j.ipm.2019.102076openalex-snapshot

HoAFM: A High-order Attentive Factorization Machine for CTR Prediction

inferred← citeshttps://doi.org/10.1016/j.ipm.2020.102277openalex-snapshot

MGAT: Multimodal Graph Attention Network for Recommendation

inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106600openalex-snapshot

Competitive and complementary influence maximization in social network: A follower’s perspective

inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106687openalex-snapshot

Accurate and Explainable Recommendation via Hierarchical Attention Network Oriented Towards Crowd Intelligence

inferred← citeshttps://doi.org/10.1016/j.knosys.2021.107922openalex-snapshot

METoNR: A meta explanation triplet oriented news recommendation model

inferred← citeshttps://doi.org/10.1016/j.knosys.2022.108954openalex-snapshot

A survey for trust-aware recommender systems: A deep learning perspective

inferred← citeshttps://doi.org/10.1016/j.neucom.2020.10.041openalex-snapshot

Attentive preference personalized recommendation with sentence-level explanations

inferred← citeshttps://doi.org/10.1016/j.neucom.2021.03.098openalex-snapshot

Review-based hierarchical attention cooperative neural networks for recommendation

inferred← citeshttps://doi.org/10.1016/j.sysarc.2020.101919openalex-snapshot

Distributed learning dynamics of Multi-Armed Bandits for edge intelligence

inferred← citeshttps://doi.org/10.1080/01969722.2019.1565119openalex-snapshot

Improving Explainability of Recommendation System by Multi-sided Tensor Factorization

inferred← citeshttps://doi.org/10.1080/09669582.2020.1778011openalex-snapshot

Responsible processing of crowdsourced tourism data

inferred← citeshttps://doi.org/10.1088/1742-6596/1848/1/012141openalex-snapshot

PA-GAN: Graph Attention Network for Preference-Aware Social Recommendation

inferred← citeshttps://doi.org/10.1109/access.2019.2924443openalex-snapshot

Exploiting Social Review-Enhanced Convolutional Matrix Factorization for Social Recommendation

inferred← citeshttps://doi.org/10.1109/access.2020.3039380openalex-snapshot

Item-Based Collaborative Memory Networks for Recommendation

inferred← citeshttps://doi.org/10.1109/access.2021.3054818openalex-snapshot

Collaborative Deep Forest Learning for Recommender Systems

inferred← citeshttps://doi.org/10.1109/access.2021.3076146openalex-snapshot

Improving Explainable Recommendations by Deep Review-Based Explanations

inferred← citeshttps://doi.org/10.1109/access.2021.3100762openalex-snapshot

Adaptive Learning User Implicit Trust Behavior Based on Graph Convolution Network

inferred← citeshttps://doi.org/10.1109/access.2025.3581344openalex-snapshot

Cross-Domain Explainable Recommendation Using Graph Convolutional Networks and a Topic Model

inferred← citeshttps://doi.org/10.1109/aero50100.2021.9438286openalex-snapshot

CyberBERT: A Deep Dynamic-State Session-Based Recommender System for Cyber Threat Recognition

inferred← citeshttps://doi.org/10.1109/icde60146.2024.00067openalex-snapshot

SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation

inferred← citeshttps://doi.org/10.1109/icdm.2018.00082openalex-snapshot

Towards Interpretation of Recommender Systems with Sorted Explanation Paths

inferred← citeshttps://doi.org/10.1109/icdm58522.2023.00200openalex-snapshot

Contrastive Learning-based Multi-behavior Recommendation with Semantic Knowledge Enhancement

inferred← citeshttps://doi.org/10.1109/icecome.2018.8644734openalex-snapshot

Dual-Prior Review-Based Matrix Factorization for Recommendation System

inferred← citeshttps://doi.org/10.1109/iemcon56893.2022.9946615openalex-snapshot

SessNet: A Deep Hybrid-state Session-based Recommender System

inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892152openalex-snapshot

Modeling Multi-View Interactions with Contrastive Graph Learning for Collaborative Filtering

inferred← citeshttps://doi.org/10.1109/iri54793.2022.00020openalex-snapshot

A News Recommendation Model Based on Time Awareness and News Relevance

inferred← citeshttps://doi.org/10.1109/isctis51085.2021.00054openalex-snapshot

MCSRec: Modeling Cognitive Similarity in Sequential Recommendation with Social Networks

inferred← citeshttps://doi.org/10.1109/jiot.2023.3329363openalex-snapshot

Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems

inferred← citeshttps://doi.org/10.1109/tcss.2024.3383603openalex-snapshot

Community Enhanced Knowledge Graph for Recommendation

inferred← citeshttps://doi.org/10.1109/tetc.2026.3688166openalex-snapshot

ColReg: A Generative Subjective Logic-Driven Crowd-AI Collaborative Regression Framework for Vehicle Damage Estimation

inferred← citeshttps://doi.org/10.1109/tkde.2018.2831682openalex-snapshot

NAIS: Neural Attentive Item Similarity Model for Recommendation

inferred← citeshttps://doi.org/10.1109/tkde.2019.2906190openalex-snapshot

Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation

inferred← citeshttps://doi.org/10.1109/tkde.2022.3142260openalex-snapshot

Knowledge Enhanced Graph Neural Networks for Explainable Recommendation

inferred← citeshttps://doi.org/10.1109/tkde.2022.3221847openalex-snapshot

Aspect-guided Syntax Graph Learning for Explainable Recommendation

inferred← citeshttps://doi.org/10.1109/tkde.2023.3282914openalex-snapshot

Hierarchical Alignment With Polar Contrastive Learning for Next-Basket Recommendation

inferred← citeshttps://doi.org/10.1109/tnnls.2019.2909432openalex-snapshot

Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation

inferred← citeshttps://doi.org/10.1111/coin.70228openalex-snapshot

Personalized and Explainable Aspect‐Based Recommendation Using Latent Opinion Groups

inferred← citeshttps://doi.org/10.1145/3077136.3080771openalex-snapshot

Item Silk Road

inferred← citeshttps://doi.org/10.1145/3077136.3080776openalex-snapshot

Personalized Key Frame Recommendation

inferred← citeshttps://doi.org/10.1145/3077136.3080822openalex-snapshot

Neural Rating Regression with Abstractive Tips Generation for Recommendation

inferred← citeshttps://doi.org/10.1145/3132847.3132926openalex-snapshot

Neural Attentive Session-based Recommendation

inferred← citeshttps://doi.org/10.1145/3159652.3159671openalex-snapshot

Micro Behaviors

inferred← citeshttps://doi.org/10.1145/3178876.3186066openalex-snapshot

TEM

inferred← citeshttps://doi.org/10.1145/3178876.3186070openalex-snapshot

Neural Attentional Rating Regression with Review-level Explanations

inferred← citeshttps://doi.org/10.1145/3209978.3210010openalex-snapshot

Explainable Recommendation via Multi-Task Learning in Opinionated Text Data

inferred← citeshttps://doi.org/10.1145/3209978.3210185openalex-snapshot

Information Discovery in E-commerce

inferred← citeshttps://doi.org/10.1145/3289600.3290972openalex-snapshot

Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation

inferred← citeshttps://doi.org/10.1145/3289600.3290982openalex-snapshot

Social Attentional Memory Network

inferred← citeshttps://doi.org/10.1145/3291060openalex-snapshot

MMALFM

inferred← citeshttps://doi.org/10.1145/3298689.3347028openalex-snapshot

Collective embedding for neural context-aware recommender systems

inferred← citeshttps://doi.org/10.1145/3308558.3313496openalex-snapshot

Persona-Aware Tips Generation?

inferred← citeshttps://doi.org/10.1145/3323873.3326592openalex-snapshot

Hierarchical Attention based Neural Network for Explainable Recommendation

inferred← citeshttps://doi.org/10.1145/3331184.3331192openalex-snapshot

An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation

inferred← citeshttps://doi.org/10.1145/3331184.3331244openalex-snapshot

The FacT

inferred← citeshttps://doi.org/10.1145/3331184.3331254openalex-snapshot

Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network

inferred← citeshttps://doi.org/10.1145/3336191.3371790openalex-snapshot

Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation

inferred← citeshttps://doi.org/10.1145/3359242openalex-snapshot

What's in a Review

inferred← citeshttps://doi.org/10.1145/3366423.3380050openalex-snapshot

Graph Enhanced Representation Learning for News Recommendation

inferred← citeshttps://doi.org/10.1145/3377325.3377520openalex-snapshot

Explaining recommendations by means of aspect-based transparent memories

inferred← citeshttps://doi.org/10.1145/3394486.3403051openalex-snapshot

Directional Multivariate Ranking

inferred← citeshttps://doi.org/10.1145/3397271.3401051openalex-snapshot

Fairness-Aware Explainable Recommendation over Knowledge Graphs

inferred← citeshttps://doi.org/10.1145/3404835.3462929openalex-snapshot

Privileged Graph Distillation for Cold Start Recommendation

inferred← citeshttps://doi.org/10.1145/3404835.3462971openalex-snapshot

Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method

inferred← citeshttps://doi.org/10.1145/3437963.3441754openalex-snapshot

Explainable Recommendation with Comparative Constraints on Product Aspects

inferred← citeshttps://doi.org/10.1145/3437963.3441800openalex-snapshot

Denoising Implicit Feedback for Recommendation

inferred← citeshttps://doi.org/10.1145/3442381.3449940openalex-snapshot

Dual Side Deep Context-aware Modulation for Social Recommendation

inferred← citeshttps://doi.org/10.1145/3442381.3450038openalex-snapshot

Leveraging Review Properties for Effective Recommendation

inferred← citeshttps://doi.org/10.1145/3459637.3482181openalex-snapshot

SIFN

inferred← citeshttps://doi.org/10.1145/3459637.3482420openalex-snapshot

Counterfactual Explainable Recommendation

inferred← citeshttps://doi.org/10.1145/3459637.3482462openalex-snapshot

Popularity-Enhanced News Recommendation with Multi-View Interest Representation

inferred← citeshttps://doi.org/10.1145/3460231.3478859openalex-snapshot

Do Users Appreciate Explanations of Recommendations? An Analysis in the Movie Domain

inferred← citeshttps://doi.org/10.1145/3463913openalex-snapshot

HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation

inferred← citeshttps://doi.org/10.1145/3474085.3475366openalex-snapshot

Deconfounded and Explainable Interactive Vision-Language Retrieval of Complex Scenes

inferred← citeshttps://doi.org/10.1145/3485447.3512269openalex-snapshot

ExpScore: Learning Metrics for Recommendation Explanation

inferred← citeshttps://doi.org/10.1145/3530299openalex-snapshot

Expressive Latent Feature Modelling for Explainable Matrix Factorisation-based Recommender Systems

inferred← citeshttps://doi.org/10.1145/3565472.3592950openalex-snapshot

User Needs for Explanations of Recommendations: In-depth Analyses of the Role of Item Domain and Personal Characteristics

inferred← citeshttps://doi.org/10.1145/3589334.3645711openalex-snapshot

Understanding Human Preferences: Towards More Personalized Video to Text Generation

inferred← citeshttps://doi.org/10.1145/3617023.3617050openalex-snapshot

A Survey on Review - Aware Recommendation Systems

inferred← citeshttps://doi.org/10.1145/3625239openalex-snapshot

Memory Network-Based Interpreter of User Preferences in Content-Aware Recommender Systems

inferred← citeshttps://doi.org/10.1145/3631700.3665185openalex-snapshot

LLM-generated Explanations for Recommender Systems

inferred← citeshttps://doi.org/10.1145/3640457.3688109openalex-snapshot

Unified Denoising Training for Recommendation

inferred← citeshttps://doi.org/10.1145/3652891openalex-snapshot

A Survey on Trustworthy Recommender Systems

inferred← citeshttps://doi.org/10.1145/3657636openalex-snapshot

Personalized Explainable Recommendations for Self-Attention Collaboration

inferred← citeshttps://doi.org/10.1145/3699516openalex-snapshot

Question-Attentive Review-Level Explanation for Neural Rating Regression

inferred← citeshttps://doi.org/10.1145/3711896.3736866openalex-snapshot

Breaking the Top- K Barrier: Advancing Top- K Ranking Metrics Optimization in Recommender Systems

inferred← citeshttps://doi.org/10.1145/3745774openalex-snapshot

Curious or Conservative: Dynamic Curiosity-aware Explainable Recommendation

inferred← citeshttps://doi.org/10.1145/3844611openalex-snapshot

Target Behavior Supervised for Cascading Contrastive Multi-Behavior Recommendation

inferred← citeshttps://doi.org/10.1371/journal.pone.0223967openalex-snapshot

Recommendation system in social networks with topical attention and probabilistic matrix factorization

inferred← citeshttps://doi.org/10.1561/9781680836592openalex-snapshot

Explainable Recommendation: A Survey and New Perspectives

inferred← citeshttps://doi.org/10.1609/aaai.v33i01.33013622openalex-snapshot

Explainable Recommendation through Attentive Multi-View Learning

inferred← citeshttps://doi.org/10.1609/aaai.v33i01.33015474openalex-snapshot

Bayesian Deep Collaborative Matrix Factorization

inferred← citeshttps://doi.org/10.1609/aaai.v34i04.6095openalex-snapshot

Attention-Guide Walk Model in Heterogeneous Information Network for Multi-Style Recommendation Explanation

inferred← citeshttps://doi.org/10.17798/bitlisfen.1692030openalex-snapshot

Enhancing User-Based Collaborative Filtering by Similarity Computation Incorporating Popularity Tendencies

inferred← citeshttps://doi.org/10.18653/v1/2020.aacl-main.18openalex-snapshot

BERT-Based Neural Collaborative Filtering and Fixed-Length Contiguous Tokens Explanation

inferred← citeshttps://doi.org/10.18653/v1/d18-1373openalex-snapshot

LRMM: Learning to Recommend with Missing Modalities

inferred← citeshttps://doi.org/10.18653/v1/d19-1494openalex-snapshot

Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network

inferred← citeshttps://doi.org/10.18653/v1/n19-1180openalex-snapshot

Hierarchical User and Item Representation with Three-Tier Attention for Recommendation

inferred← citeshttps://doi.org/10.21203/rs.3.rs-2457669/v1openalex-snapshot

Post-hoc Explanation for Twitter List Recommendation

inferred← citeshttps://doi.org/10.24963/ijcai.2020/336openalex-snapshot

Synthesizing Aspect-Driven Recommendation Explanations from Reviews

inferred← citeshttps://doi.org/10.31577/cai_2022_3_757openalex-snapshot

New Strategy Based on RBF Network to Develop a Collaborative Filtering Recommender System

inferred← citeshttps://doi.org/10.3233/ica-210668openalex-snapshot

Stream-based explainable recommendations via blockchain profiling

inferred← citeshttps://doi.org/10.3233/ida-230288openalex-snapshot

A feature-aware long-short interest evolution network for sequential recommendation

inferred← citeshttps://doi.org/10.32657/10356/175790openalex-snapshot

Towards trustworthy recommenders: building explainable and unbiased recommendation systems

inferred← citeshttps://doi.org/10.3390/app8101849openalex-snapshot

Review Rating Prediction Based on User Context and Product Context

inferred← citeshttps://doi.org/10.3390/e21020143openalex-snapshot

Joint Deep Model with Multi-Level Attention and Hybrid-Prediction for Recommendation

inferred← citeshttps://doi.org/10.3390/electronics12224564openalex-snapshot

A Survey on Recommendation Methods Based on Social Relationships

inferred← citeshttps://doi.org/10.3390/electronics14050998openalex-snapshot

Enhancing Personalized Explainable Recommendations with Transformer Architecture and Feature Handling

inferred← citeshttps://doi.org/10.3390/info10010001openalex-snapshot

User-Personalized Review Rating Prediction Method Based on Review Text Content and User-Item Rating Matrix

inferred← citeshttps://doi.org/10.4018/jdm.2019040102openalex-snapshot

Collaboration Matrix Factorization on Rate and Review for Recommendation

inferred← citeshttps://doi.org/10.48550/arxiv.1706.03205openalex-snapshot

Item Silk Road: Recommending Items from Information Domains to Social Users

inferred← citeshttps://doi.org/10.48550/arxiv.1707.01561openalex-snapshot

Automatic Generation of Natural Language Explanations

inferred← citeshttps://doi.org/10.48550/arxiv.1801.10288openalex-snapshot

Visually Explainable Recommendation

inferred← citeshttps://doi.org/10.48550/arxiv.1906.02037openalex-snapshot

The FacT: Taming Latent Factor Models for Explainability with Factorization Trees

inferred← citeshttps://doi.org/10.48550/arxiv.1908.05928openalex-snapshot

Recommendation with Attribute-aware Product Networks: A Representation Learning Model

inferred← citeshttps://doi.org/10.48550/arxiv.2101.03392openalex-snapshot

Generate Natural Language Explanations for Recommendation

inferred← citeshttps://doi.org/10.48550/arxiv.2101.06387openalex-snapshot

A Zero Attentive Relevance Matching Networkfor Review Modeling in Recommendation System

inferred← citeshttps://doi.org/10.48550/arxiv.2103.08733openalex-snapshot

Category Aware Explainable Conversational Recommendation

inferred← citeshttps://doi.org/10.54337/aau306504743openalex-snapshot

Multi-view Latent Factor Models for Recommender Systems

inferred← citeshttps://doi.org/10.70675/379e3491z0dcez4caaza065z59dd5e02e4cbopenalex-snapshot

Towards diversified recommendations

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