Cold-start solutions for recommendation systems
Author:
Publisher
Institution of Engineering and Technology
Link
https://digital-library.theiet.org/content/books/10.1049/pbpc035g_ch3?crawler=true&mimetype=application/pdf
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Hybrid recommendation by incorporating the sentiment of product reviews;Information Sciences;2023-05
2. A New Mechanism for Detecting Shilling Attacks in Recommender Systems Based on Social Network Analysis and Gaussian Rough Neural Network with Emotional Learning;International Journal of Engineering;2023
3. Solving Cold Start Problem for Recommendation System Using Content-Based Filtering;2022 International Conference on Computer Technologies (ICCTech);2022-02
4. SynEvaRec: A Framework for Evaluating Recommender Systems on Synthetic Data Classes;2021 International Conference on Data Mining Workshops (ICDMW);2021-12
5. AudioLens: Audio-Aware Video Recommendation for Mitigating New Item Problem;Service-Oriented Computing – ICSOC 2020 Workshops;2021
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