On the public citation graph
Natural Language Processing and Machine Learning-Based Solution of Cold Start Problem Using Collaborative Filtering Approach
0 signed · 71 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-387-85820-3openalex-snapshot
Recommender Systems Handbook
inferredcites →https://doi.org/10.1007/978-981-13-1927-3openalex-snapshot
Smart Intelligent Computing and Applications
inferredcites →https://doi.org/10.1007/s10115-020-01528-2openalex-snapshot
A hybrid neural network approach to combine textual information and rating information for item recommendation
inferredcites →https://doi.org/10.1007/s11257-015-9155-5openalex-snapshot
Recommender systems based on user reviews: the state of the art
inferredcites →https://doi.org/10.1007/s11257-021-09293-9openalex-snapshot
Improving cold-start recommendations using item-based stereotypes
inferredcites →https://doi.org/10.1007/s12525-021-00478-zopenalex-snapshot
Designing Recommendation or Suggestion Systems: looking to the future
inferredcites →https://doi.org/10.1007/s12652-018-0928-7openalex-snapshot
A trust-based collaborative filtering algorithm for E-commerce recommendation system
inferredcites →https://doi.org/10.1016/j.compeleceng.2016.04.003openalex-snapshot
Content-based image retrieval embedded with agglomerative clustering built on information loss
inferredcites →https://doi.org/10.1016/j.engappai.2021.104191openalex-snapshot
A novel recommendation scheme with multifactorial weighted matrix decomposition strategies via forgetting rule
inferredcites →https://doi.org/10.1016/j.eswa.2016.09.040openalex-snapshot
Collaborative filtering and deep learning based recommendation system for cold start items
inferredcites →https://doi.org/10.1016/j.eswa.2019.113054openalex-snapshot
DNNRec: A novel deep learning based hybrid recommender system
inferredcites →https://doi.org/10.1016/j.ipm.2018.03.004openalex-snapshot
Social network data to alleviate cold-start in recommender system: A systematic review
inferredcites →https://doi.org/10.1016/j.is.2014.10.001openalex-snapshot
Dealing with the new user cold-start problem in recommender systems: A comparative review
inferredcites →https://doi.org/10.1016/j.jksuci.2020.12.022openalex-snapshot
Influence of conditional holoentropy-based feature selection on automatic recommendation system in E-commerce sector
inferredcites →https://doi.org/10.1016/j.jpdc.2017.12.008openalex-snapshot
A keyword-aware recommender system using implicit feedback on Hadoop
inferredcites →https://doi.org/10.1088/1742-6596/1897/1/012024openalex-snapshot
Recommendation Systems For E-commerce Systems An Overview
inferredcites →https://doi.org/10.1109/access.2020.3002803openalex-snapshot
A Systematic Study on the Recommender Systems in the E-Commerce
inferredcites →https://doi.org/10.1109/mic.2017.72openalex-snapshot
Two Decades of Recommender Systems at Amazon.com
inferredcites →https://doi.org/10.1109/tii.2019.2893714openalex-snapshot
Deep Matrix Factorization With Implicit Feedback Embedding for Recommendation System
inferredcites →https://doi.org/10.1109/tii.2019.2937547openalex-snapshot
MDMaaS: Medical-Assisted Diagnosis Model as a Service With Artificial Intelligence and Trust
inferredcites →https://doi.org/10.1109/tii.2022.3209290openalex-snapshot
A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations
inferredcites →https://doi.org/10.1111/exsy.12645openalex-snapshot
Addressing the New Item problem in video recommender systems by incorporation of visual features with restricted Boltzmann machines
inferredcites →https://doi.org/10.1111/exsy.12893openalex-snapshot
Optimization of fuzzy similarity by genetic algorithm in user‐based collaborative filtering recommender systems
inferredcites →https://doi.org/10.1111/exsy.13143openalex-snapshot
A hybrid recommender system based on description/dialetheic logic and linked data
inferredcites →https://doi.org/10.1145/2733373.2806239openalex-snapshot
Collaborative Fashion Recommendation
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3158369openalex-snapshot
Facial Expression Analysis under Partial Occlusion
inferredcites →https://doi.org/10.1145/3219819.3219886openalex-snapshot
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning
inferredcites →https://doi.org/10.1145/3240323.3240374openalex-snapshot
Deep reinforcement learning for page-wise recommendations
inferredcites →https://doi.org/10.1145/3359554openalex-snapshot
Interactive Recommendation with User-Specific Deep Reinforcement Learning
inferredcites →https://doi.org/10.1145/3397271.3401426openalex-snapshot
A Heterogeneous Information Network based Cross Domain Insurance Recommendation System for Cold Start Users
inferredcites →https://doi.org/10.1145/3397271.3401431openalex-snapshot
Understanding Echo Chambers in E-commerce Recommender Systems
inferredcites →https://doi.org/10.1145/3474085.3475665openalex-snapshot
Contrastive Learning for Cold-Start Recommendation
inferredcites →https://doi.org/10.1155/2016/5160460openalex-snapshot
Research on E-Commerce Platform-Based Personalized Recommendation Algorithm
inferredcites →https://doi.org/10.1155/2022/6602471openalex-snapshot
Cross-Border E-Commerce Intelligent Information Recommendation System Based on Deep Learning
inferredcites →https://doi.org/10.11591/ijeecs.v22.i1.pp563-570openalex-snapshot
e-SimNet: a visual similar product recommender system for E-commerce
inferredcites →https://doi.org/10.1186/s40537-022-00592-5openalex-snapshot
A systematic review and research perspective on recommender systems
inferredcites →https://doi.org/10.1504/ijbsr.2021.10033303openalex-snapshot
Recommender systems: an overview, research trends, and future directions
inferredcites →https://doi.org/10.1609/aaai.v32i1.11884openalex-snapshot
Collaborative Filtering With User-Item Co-Autoregressive Models
inferredcites →https://doi.org/10.19044/esj.2016.v12n34p75openalex-snapshot
A Survey of e-Commerce Recommender Systems
inferredcites →https://doi.org/10.19173/irrodl.v21i4.4643openalex-snapshot
Recommender Systems for MOOCs: A Systematic Literature Survey (January 1, 2012 – July 12, 2019)
inferredcites →https://doi.org/10.3390/a16040182openalex-snapshot
Addressing the Cold-Start Problem in Recommender Systems Based on Frequent Patterns
inferredcites →https://doi.org/10.3390/app10072441openalex-snapshot
Deep Learning Architecture for Collaborative Filtering Recommender Systems
inferredcites →https://doi.org/10.3390/app11094243openalex-snapshot
A Two-Stage Neural Network-Based Cold Start Item Recommender
inferredcites →https://doi.org/10.3390/app11209608openalex-snapshot
Eliciting Auxiliary Information for Cold Start User Recommendation: A Survey
inferredcites →https://doi.org/10.3390/app11209667openalex-snapshot
A Two-Phase Deep Learning-Based Recommender System: Enhanced by a Data Quality Inspector
inferredcites →https://doi.org/10.3390/e24040503openalex-snapshot
Preference-Tree-Based Real-Time Recommendation System
inferredcites →https://doi.org/10.3390/su131910786openalex-snapshot
An E-Commerce Recommendation System Based on Dynamic Analysis of Customer Behavior
inferredcites →https://doi.org/10.3390/su14127243openalex-snapshot
K-Means Clustering Approach for Intelligent Customer Segmentation Using Customer Purchase Behavior Data
inferredcites →https://doi.org/10.3390/sym12111783openalex-snapshot
Probabilistic Unsupervised Machine Learning Approach for a Similar Image Recommender System for E-Commerce
inferredcites →https://doi.org/10.5120/21281-4200openalex-snapshot
Recommendation System: State of the Art Approach
inferredcites →https://doi.org/10.5120/ijca2018917193openalex-snapshot
An Improved Online Book Recommender System using Collaborative Filtering Algorithm
inferredcites →https://doi.org/10.7903/ijecs.1348openalex-snapshot
DEVELOPING A PRICE-SENSITIVE RECOMMENDER SYSTEM TO IMPROVE ACCURACY AND BUSINESS PERFORMANCE OF ECOMMERCE APPLICATIONS
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s41060-026-01020-0openalex-snapshot
Meta-path attention with semantic transformer for academic recommendation
inferred← citeshttps://doi.org/10.1007/s41870-025-02994-zopenalex-snapshot
TripRec: tackling cold start and sparsity in tourism recommendation using combined pre-trained bidirectional transformer encoder representations
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.110757openalex-snapshot
Long Short-Term Memory and Kolmogorov Arnold Network Theorem for epileptic seizure prediction
inferred← citeshttps://doi.org/10.1080/1448837x.2025.2605390openalex-snapshot
Smart recommendations in E-commerce using convolutional neural networks and collaborative filtering
inferred← citeshttps://doi.org/10.1109/access.2025.3601992openalex-snapshot
UTAM: A Unified Thematic Mapping Approach for Cross-Domain Personalization and Cold Start Alleviation
inferred← citeshttps://doi.org/10.1109/conecct65861.2025.11306790openalex-snapshot
Genetically Optimized GAT Recommender
inferred← citeshttps://doi.org/10.1109/icipcn67432.2026.11438342openalex-snapshot
Cold Start Prediction in Serverless Computing using Machine Learning
inferred← citeshttps://doi.org/10.1109/icoeca68095.2026.11485092openalex-snapshot
Multi Modal Graph Fusion Framework for Equitable and Sustainable Content Discovery in Digital Streaming Platforms
inferred← citeshttps://doi.org/10.1109/iot-siu65919.2025.11402675openalex-snapshot
Hybrid Recommendation System Using Graph Neural Network (HRS-GNN) and NLP-Based Trend-Aware Filtering
inferred← citeshttps://doi.org/10.1145/3764206.3764219openalex-snapshot
Innovative Pathways for Russian Language Teaching in the AI Era: Integrating Machine Learning and Natural Language Processing for Future Talent Cultivation
inferred← citeshttps://doi.org/10.13052/jwe1540-9589.2425openalex-snapshot
Design of a Web Content Personalized Recommendation System Based on Collaborative Filtering Improved by Combining k-means and LightGBM
inferred← citeshttps://doi.org/10.1371/journal.pone.0333607openalex-snapshot
The movie recommendation algorithm based on the TransD model and AIGC empowerment and its application effectiveness analysis
inferred← citeshttps://doi.org/10.3390/a19040259openalex-snapshot
Adapting Vision–Language Models for Few-Shot Industrial Defect Detection
inferred← citeshttps://doi.org/10.3390/app16199798openalex-snapshot
A NeuMF-Based Framework for Sparse E-Commerce Recommendation with Cold-Start Fallback
inferred← citeshttps://doi.org/10.3390/fi18020114openalex-snapshot
Optimizing Collaborative Filtering for Accurate Rating Predictions in Very Sparse Datasets
inferred← citeshttps://doi.org/10.3390/jtaer20030234openalex-snapshot
A Novel Framework Leveraging Social Media Insights to Address the Cold-Start Problem in Recommendation Systems
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.