OVERVIEW OF RECOMMENDATION ALGORITHMS FOR USE IN CROWDFUNDING PLATFORMS

Authors

DOI:

https://doi.org/10.30890/2709-1783.2023-29-01-012

Keywords:

crowdfunding, recommender algorithms, collaborative filtering, content-based filtering, hybrid recommender systems

Abstract

This report provides an in-depth overview of recommendation algorithms and their critical role in the dynamic landscape of crowdfunding systems. Public financing systems have become an outstanding and transformative method of financing a number of creativ

References

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Burke, Robin. (2002). Hybrid Recommender Systems: Survey and Experiments. User Modeling and User-Adapted Interaction. 12. 10.1023/A:1021240730564. [Електронний ресурс] – Режим доступу: https://www.researchgate.net/publication/263377228_Hybrid_Recommender_Systems_Survey_and_Experiments

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Ghazanfar, Mustansar ali & Prugel-Bennett, A.. (2010). An Improved Switching Hybrid Recommender System Using Naive Bayes Classifier and Collaborative Filtering. Lecture Notes in Engineering and Computer Science. 2180. [Електронний ресурс] – Режим доступу: https://www.researchgate.net/publication/44260634_An_Improved_Switching_Hybrid_Recommender_System_Using_Naive_Bayes_Classifier_and_Collaborative_Filtering

Glauber, Rafael & Loula, Angelo & Rocha-Junior, João. (2013). A mixed hybrid recommender system for given names. 25-36. [Електронний ресурс] – Режим доступу: https://www.researchgate.net/publication/319137148_A_mixed_hybrid_recommender_system_for_given_names

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Published

2023-10-30

How to Cite

Smachylo, P. (2023). OVERVIEW OF RECOMMENDATION ALGORITHMS FOR USE IN CROWDFUNDING PLATFORMS. SWorld-Ger Conference Proceedings, 1(gec29-01), 6–10. https://doi.org/10.30890/2709-1783.2023-29-01-012

Issue

No. gec29-01 (2023): Technique and technology of the future '2023

Section

Abstracts

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