Meta Path-Aware Recommendation Method Based on Non-Negative Matrix Factorization in LBSN-Reference-Cited by-同舟云学术

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Meta Path-Aware Recommendation Method Based on Non-Negative Matrix Factorization in LBSN

Published:2022-12 Issue:4 Volume:19 Page:4284-4297
ISSN:1932-4537
Container-title:IEEE Transactions on Network and Service Management
language:
Short-container-title:IEEE Trans. Netw. Serv. Manage.

Author:

Yang Zhenghao¹,Wang Ze¹^ORCID,Guo Lei¹,Liu Wenju¹,Sun Shimin¹

Affiliation:

1. School of Computer Science and Technology, Tiangong University, Tianjin, China

Funder

Tianjin Technical Innovation Guidance Special Project

Tianjin Natural Science Foundation

Tianjin Intelligent Manufacturing Special Fund Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/4275028/10034788/09939180.pdf?arnumber=9939180

Reference42 articles.

1. Random-Walk Computation of Similarities between Nodes of a Graph with Application to Collaborative Recommendation

2. Meta path-aware rating collaborative filtering in heterogeneous information;he;Chin J Comput,2020

3. A novel matrix factorization model for recommendation with LOD-based semantic similarity measure

4. User preference modeling based on meta paths and diversity regularization in heterogeneous information networks

5. An experimental study on implicit social recommendation

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