TY - JOUR
T1 - Gift recommendation systems
T2 - a review
AU - Mohseni, Pouya
AU - Sajedi, Hedieh
AU - Hussain, Khalid
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2023/12/1
Y1 - 2023/12/1
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Electronic commerce
KW - Personalization
KW - Recommender systems
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UR - https://www.mendeley.com/catalogue/7ee97b95-6e0b-33ee-b342-45cab8cd3e96/
U2 - 10.1007/s10660-023-09790-6
DO - 10.1007/s10660-023-09790-6
M3 - Article
AN - SCOPUS:85178199506
SN - 1389-5753
JO - Electronic Commerce Research
JF - Electronic Commerce Research
ER -