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Quality & Quantity
Erschienen in:

25.05.2024

Improving recommendations utilizing users’ demographic information

verfasst von: Avick Kumar Dey, Pijush Kanti Dutta Pramanik, Pradeep Kumar Singh, Prasenjit Choudhury

Erschienen in: Quality & Quantity | Ausgabe 6/2024

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Abstract

The exponential increase in digital data has increased the amount of available online information. This complicates the user’s decision-making. Most online merchants and service providers utilize recommendation systems to solve this problem and meet customer needs. The traditional collaborative filtering based approach faces enormous challenges in providing potential personalized recommendation results. The demographic information of users may improve personalized recommendation results. This research proposes an improved recommendation approach based on users’ demographic information. Compared with traditional collaborative filtering-based approaches, this approach provides improved results. The experimental results show the enhanced prediction accuracy of the proposed approach and significantly lower errors when experimenting with the MovieLens dataset.
Vorheriger Artikel Future behavioural of console gamers and mobile gamers: are they differ?
Nächster Artikel Assessing efficiency maternal and child health services in Morocco: data envelopement analysis and Tobit model

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Metadaten
Titel
Improving recommendations utilizing users’ demographic information
verfasst von
Avick Kumar Dey
Pijush Kanti Dutta Pramanik
Pradeep Kumar Singh
Prasenjit Choudhury
Publikationsdatum
25.05.2024
Verlag
Springer Netherlands
Erschienen in
Quality & Quantity / Ausgabe 6/2024
Print ISSN: 0033-5177
Elektronische ISSN: 1573-7845
DOI
https://doi.org/10.1007/s11135-024-01890-1

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