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Other IDs

Scopus Author ID: 57464939800
ResearcherID: MFH-5262-2025

Keywords

Recommendation systems, Data Mining, Data analysis, Graph Neural Networks, Deep Neural Networks, Natural Language Processing, Entity Matching, Kalman Filering, Markov Models, Expectation Maximization

Countries

Kenya, China

Activities

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Education and qualifications (3)

University of Shanghai for Science and Technology School of Optical-Electrical and Computer Engineering: Shanghai, Shanghai, CN

2022-09-01 to 2025-07-31 | PhD (Department of Control Science and Engineering, University of Shanghai for Science and Technology)
Education
Source: Self-asserted source
Simon Nandwa Anjiri

University of Shanghai for Science and Technology School of Optical-Electrical and Computer Engineering: Shanghai, Shanghai, CN

2018-09-01 to 2022-07-31 | Masters
Education
Source: Self-asserted source
Simon Nandwa Anjiri

University of Shanghai for Science and Technology School of Optical-Electrical and Computer Engineering: Shanghai, Shanghai, CN

2013-09-01 to 2017-07-30 | Undergraduate
Education
Source: Self-asserted source
Simon Nandwa Anjiri

Works (4)

A Multiplex Hypergraph Attribute-based Graph Collaborative Filtering for Cold-start POI Recommendation

IEEE Transactions on Big Data
2025 | Journal article
DOI: 10.1109/TBDATA.2025.3533908
Contributors: Simon Nandwa Anijri; Derui Ding; Yan Song; Ying Sun
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Web of Science Researcher Profile Sync
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HyGate-GCN: Hybrid-Gate-Based Graph Convolutional Networks with dynamical ratings estimation for personalized POI recommendation

Expert Systems with Applications
2024 | Journal article
DOI: 10.1016/j.eswa.2024.125217
EID:

2-s2.0-85202348461

Part of ISSN: 09574174
Contributors: Anjiri, S.N.; Ding, D.; Song, Y.
Source: Self-asserted source
Simon Nandwa Anjiri via Scopus - Elsevier
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Preferred source (of 3)‎

Compredict: A Location Prediction Method by Mining Semantic Trajectories and Mobile Intention

SSRN
2022 | Other
DOI: 10.2139/ssrn.4034463
EID:

2-s2.0-85176978452

Part of ISSN: 15565068
Contributors: Lu, J.; Anjiri, S.N.; Liu, C.
Source: Self-asserted source
Simon Nandwa Anjiri via Scopus - Elsevier

DMM+C:a Multi-source Data Fusion Location Prediction Method

Journal of Chinese Computer Systems
2022-11-01 | Journal article | Conceptualization, Data curation, Formal analysis, Investigation
Contributors: Simon Nandwa Anjiri; LU Jing; LIU Cong
Source: Self-asserted source
Simon Nandwa Anjiri

Peer review (21 reviews for 3 publications/grants)

Review activity for Expert systems with applications. (7)
Review activity for Information fusion. (9)
Review activity for Knowledge-based systems. (5)
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