Co-Clustering based Hybrid Collaborative Filtering Model-Reference-Cited by-同舟云学术

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Co-Clustering based Hybrid Collaborative Filtering Model

Published:2023-03-15 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Communication Technologies (ComTech)
language:
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Author:

Aamana ¹,Iltaf Naima²,Afzal Hammad²,Ain Qurat Ul³

Affiliation:

1. National University of Modern Languages (NUML),Dept of Software Engineering,Rawalpindi,Pakistan

2. National University of Sciences and Technology (NUST),Dept of Software Engineering,Islamabad,Pakistan

3. National University of Modern Languages (NUML),Dept of Software Engineering,Islamabad,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10164827/10164854/10165021.pdf?arnumber=10165021

Reference37 articles.

1. Item-based collaborative filtering recommendation algorithms

2. A new user similarity model to improve the accuracy of collaborative filtering

3. Unifying user-based and item-based collaborative filtering approaches by similarity fusion

4. Evaluating collaborative filtering recommender systems

5. Merging trust in collaborative filtering to alleviate data sparsity and cold start

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