Gift recommendation systems: a review

Pouya Mohseni (), Hedieh Sajedi () and Khalid Hussain ()
Additional contact information
Pouya Mohseni: University of Tehran
Hedieh Sajedi: University of Tehran
Khalid Hussain: Sultan Qaboos University

Electronic Commerce Research, 2025, vol. 25, issue 4, No 28, 3099-3130

Abstract: Abstract Gift exchange is a common practice in people’s lives, with a significant proportion of e-commerce sales in the world attributed to gift purchases. However, gift-giving can be challenging for many individuals, as gift-givers often struggle to accurately predict the recipient’s reactions. To address this issue, personalized recommendation systems can be utilized to facilitate gift selection. This paper reviews psychological, marketing, and anthropological research related to gift exchange and proposes a framework for gift recommendation systems based on the introduced metrics. Subsequently, the paper surveys existing gift recommendation systems literature and evaluates their adherence to the proposed framework. The contributions of this paper are two-fold: (1) Giving a clear understanding of gift exchange practices and proposing a framework for gift recommendation systems, and (2) Reviewing gift recommendation systems literature and examining their adherence to the provided framework.

Keywords: Personalization; Recommender systems; Electronic commerce; Artificial intelligence (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10660-023-09790-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:elcore:v:25:y:2025:i:4:d:10.1007_s10660-023-09790-6

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10660

DOI: 10.1007/s10660-023-09790-6

Access Statistics for this article

Electronic Commerce Research is currently edited by James Westland

More articles in Electronic Commerce Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().