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Leveraging User Comments for Recommendation in E-Commerce

https://doi.org/10.3390/app10072540
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What this work says

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

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Principal component analysis
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A clustering based approach to improving the efficiency of collaborative filtering recommendation
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A recommender system based on collaborative filtering using ontology and dimensionality reduction techniques
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Novel centroid selection approaches for KMeans-clustering based recommender systems
inferredcites →https://doi.org/10.1016/j.knosys.2015.12.018openalex-snapshot
A non negative matrix factorization for collaborative filtering recommender systems based on a Bayesian probabilistic model
inferredcites →https://doi.org/10.1016/j.knosys.2017.02.034openalex-snapshot
One-class collaborative filtering based on rating prediction and ranking prediction
inferredcites →https://doi.org/10.1016/j.knosys.2017.08.015openalex-snapshot
Semantics-aware Recommender Systems exploiting Linked Open Data and graph-based features
inferredcites →https://doi.org/10.1016/j.knosys.2017.10.005openalex-snapshot
Resolving data sparsity by multi-type auxiliary implicit feedback for recommender systems
inferredcites →https://doi.org/10.1016/j.knosys.2018.01.003openalex-snapshot
Dual-regularized matrix factorization with deep neural networks for recommender systems
inferredcites →https://doi.org/10.1016/j.knosys.2018.05.028openalex-snapshot
Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system
inferredcites →https://doi.org/10.1049/cje.2016.03.021openalex-snapshot
A New Recommender System Using Context Clustering Based on Matrix Factorization Techniques
inferredcites →https://doi.org/10.1049/iet-ifs.2016.0345openalex-snapshot
Defending shilling attacks in recommender systems using soft co‐clustering
inferredcites →https://doi.org/10.1109/access.2017.2788138openalex-snapshot
Recommender Systems Clustering Using Bayesian Non Negative Matrix Factorization
inferredcites →https://doi.org/10.1109/ialp.2017.8300595openalex-snapshot
Exploring semantic content to user profiling for user cluster-based collaborative point-of-interest recommender system
inferredcites →https://doi.org/10.1109/ic3i.2014.7019655openalex-snapshot
Clustering-based recommender system using principles of voting theory
inferredcites →https://doi.org/10.1109/iccct2.2014.7066693openalex-snapshot
Personalized collaborative filtering recommender system using domain knowledge
inferredcites →https://doi.org/10.1109/icdm.2005.14openalex-snapshot
A Scalable Collaborative Filtering Framework Based on Co-Clustering
inferredcites →https://doi.org/10.1109/icdm.2016.0060openalex-snapshot
Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems
inferredcites →https://doi.org/10.1109/mic.2003.1167344openalex-snapshot
Amazon.com recommendations: item-to-item collaborative filtering
inferredcites →https://doi.org/10.1109/mic.2017.72openalex-snapshot
Two Decades of Recommender Systems at Amazon.com
inferredcites →https://doi.org/10.1109/mlsp.2016.7738886openalex-snapshot
ITEM2VEC: Neural item embedding for collaborative filtering
inferredcites →https://doi.org/10.1109/tetc.2013.2283233openalex-snapshot
Cold-Start Recommendation Using Bi-Clustering and Fusion for Large-Scale Social Recommender Systems
inferredcites →https://doi.org/10.1109/tkde.2010.122openalex-snapshot
A Fuzzy Self-Constructing Feature Clustering Algorithm for Text Classification
inferredcites →https://doi.org/10.1109/tkde.2011.15openalex-snapshot
Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques
inferredcites →https://doi.org/10.1109/tkde.2012.119openalex-snapshot
The Adaptive Clustering Method for the Long Tail Problem of Recommender Systems
inferredcites →https://doi.org/10.1109/tkde.2017.2650229openalex-snapshot
Spectral Ensemble Clustering via Weighted K-Means: Theoretical and Practical Evidence
inferredcites →https://doi.org/10.1109/tnnls.2019.2909432openalex-snapshot
Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation
inferredcites →https://doi.org/10.1109/tnnls.2019.2909686openalex-snapshot
Exactly Robust Kernel Principal Component Analysis
inferredcites →https://doi.org/10.1109/tpami.2016.2605085openalex-snapshot
Social Collaborative Filtering by Trust
inferredcites →https://doi.org/10.1109/tpds.2013.215openalex-snapshot
An Iterative Method for Calculating Robust Rating Scores
inferredcites →https://doi.org/10.1109/tsmcb.2011.2163711openalex-snapshot
Enhancing Collaborative Filtering by User Interest Expansion via Personalized Ranking
inferredcites →https://doi.org/10.1145/1367497.1367646openalex-snapshot
Feature weighting in content based recommendation system using social network analysis
inferredcites →https://doi.org/10.1145/1454008.1454036openalex-snapshot
Integrating tags in a semantic content-based recommender
inferredcites →https://doi.org/10.1145/245108.245121openalex-snapshot
Recommender systems
inferredcites →https://doi.org/10.1145/2460383.2460385openalex-snapshot
Enhancing the trust-based recommendation process with explicit distrust
inferredcites →https://doi.org/10.1145/2641564openalex-snapshot
Matrix Factorization with Explicit Trust and Distrust Side Information for Improved Social Recommendation
inferredcites →https://doi.org/10.1145/2700465openalex-snapshot
A Hybrid Multigroup Coclustering Recommendation Framework Based on Information Fusion
inferredcites →https://doi.org/10.1145/2872427.2883044openalex-snapshot
Addressing Complex and Subjective Product-Related Queries with Customer Reviews
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3178876.3186150openalex-snapshot
Variational Autoencoders for Collaborative Filtering
inferredcites →https://doi.org/10.1145/3298689.3347041openalex-snapshot
Performance comparison of neural and non-neural approaches to session-based recommendation
inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot
Item-based collaborative filtering recommendation algorithms
inferredcites →https://doi.org/10.1145/963770.963772openalex-snapshot
Evaluating collaborative filtering recommender systems
inferredcites →https://doi.org/10.4304/jsw.5.7.745-752openalex-snapshot
A Collaborative Filtering Recommendation Algorithm Based on User Clustering and Item Clustering
inferredcites →https://doi.org/10.48550/arxiv.1211.0390openalex-snapshot
Rating through Voting: An Iterative Method for Robust Rating
inferredcites →https://doi.org/10.48550/arxiv.1310.4546openalex-snapshot
Distributed Representations of Words and Phrases and their Compositionality
inferredcites →https://doi.org/10.48550/arxiv.1405.4053openalex-snapshot
Distributed Representations of Sentences and Documents
inferredcites →https://doi.org/10.82444/warw.33751108openalex-snapshot
On reducing the data sparsity in collaborative filtering recommender systems

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s10115-022-01695-4openalex-snapshot
Neural TV program recommendation with heterogeneous attention
inferred← citeshttps://doi.org/10.1007/s10489-021-02241-5openalex-snapshot
Neural TV program recommendation with label and user dual attention
inferred← citeshttps://doi.org/10.1007/s13198-021-01059-1openalex-snapshot
Using cloud computing platform of 6G IoT in e-commerce personalized recommendation
inferred← citeshttps://doi.org/10.1007/s41060-025-00981-yopenalex-snapshot
CDGRS-LOD model: leveraging linked open data in collaborative cross-domain group recommender system
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103664openalex-snapshot
Mixture of experts (MoE): A big data perspective
inferred← citeshttps://doi.org/10.1186/s40537-021-00420-2openalex-snapshot
Evaluation of recent advances in recommender systems on Arabic content
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/jifs-212274openalex-snapshot
A novel deep learning-based recommender system for Arabic content
inferred← citeshttps://doi.org/10.3390/app10103395openalex-snapshot
Improving Matrix Factorization Based Expert Recommendation for Manuscript Editing Services by Refining User Opinions with Binary Ratings
inferred← citeshttps://doi.org/10.3991/ijim.v16i13.30611openalex-snapshot
The Role of e-Commerce: A Systematic Literature Review
inferred← citeshttps://doi.org/10.7287/peerj-cs.331v0.1/reviews/1openalex-snapshot
Peer Review #1 of "Latent based temporal optimization approach for improving the performance of collaborative filtering (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.331v0.1/reviews/2openalex-snapshot
Peer Review #2 of "Latent based temporal optimization approach for improving the performance of collaborative filtering (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.331v0.1/reviews/3openalex-snapshot
Peer Review #3 of "Latent based temporal optimization approach for improving the performance of collaborative filtering (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.331v0.2/reviews/1openalex-snapshot
Peer Review #1 of "Latent based temporal optimization approach for improving the performance of collaborative filtering (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.331v0.2/reviews/2openalex-snapshot
Peer Review #2 of "Latent based temporal optimization approach for improving the performance of collaborative filtering (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.331v0.2/reviews/3openalex-snapshot
Peer Review #3 of "Latent based temporal optimization approach for improving the performance of collaborative filtering (v0.2)"
inferred← citeshttps://doi.org/10.7717/peerj-cs.331openalex-snapshot
Latent based temporal optimization approach for improving the performance of collaborative filtering
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