Solving Cold Start Problem for Recommendation System Using Content-Based Filtering-Reference-Cited by-同舟云学术

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Solving Cold Start Problem for Recommendation System Using Content-Based Filtering

Published:2022-02 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Computer Technologies (ICCTech)
language:
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Author:

Chia Ei Ji¹,Najafabadi Maryam Khanian¹

Affiliation:

1. Universiti Tunku Abdul Rahman,Department of Internet Engineering and Computer Science,Kuala Lumpur,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10046140/10046046/10046158.pdf?arnumber=10046158

Reference15 articles.

1. Enhancing collaborative filtering via topic model integrated uniform euclidean distance

2. Recommendation system for property search using content based filtering method

3. Algorithm for movie recommendation system using collaborative filtering

4. Calculating the user-item similarity using Pearson's and cosine correlation

Cited by 2 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. User Cold Start Problem in Recommendation Systems: A Systematic Review;IEEE Access;2023

2. Numerical Similarity Measures Versus Jaccard for Collaborative Filtering;Proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics 2023;2023

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