Recommendation algorithm based on community structure and user trust-Reference-Cited by-同舟云学术

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Recommendation algorithm based on community structure and user trust

Published:2021-05-20 Issue:20 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Lei Guo¹²^ORCID,Sheng Yang¹³,Shaozi Li⁴,Qingshou Wu¹²^ORCID,Wensen Yu¹³

Affiliation:

1. School of Mathematics and Computer Science Wuyi University Wuyishan China

2. Digital Fujian Tourism Big Data Institute, Fujian Provincial Development and Reform Commission Wuyishan China

3. The Key Laboratory of Cognitive Computing and Intelligent Information Processing , Fujian Provincial Department of Education Wuyishan China

4. School of Informatics Xiamen University Xiamen China

Funder

Fujian Agriculture and Forestry University

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6375

Reference40 articles.

1. ZarzourH Al‐SharifZ Al‐AyyoubM JararwehY.A new collaborative filtering recommendation algorithm based on dimensionality reduction and clustering techniques. Paper presented at: Proceedings of the International Conference on Information and Communication Systems. Lille France; 2018;9:102‐106.

2. A new method to find neighbor users that improves the performance of Collaborative Filtering

3. Using collaborative filtering to weave an information tapestry

4. Recommender systems survey

5. A multi‐cloud model based many‐objective intelligent algorithm for efficient task scheduling in Internet of Things;Cai X;IEEE IoT J,2020

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