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  1. The art of gift-giving with limited preference data: How fashion recommender systems can help
The art of gift-giving with limited preference data: How fashion recommender systems can help
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The art of gift-giving with limited preference data: How fashion recommender systems can help

Alipour, S

The art of gift-giving with limited preference data: How fashion recommender systems can help

Alipour, S ; Sharif University of Technology | 2024

94 Viewed
  1. Type of Document: Article
  2. DOI: 10.1145/3613905.3651000
  3. Publisher: 2024
  4. Abstract:
  5. Gift shopping can be challenging due to the limited prior knowledge of the recipient's preferences, leading to after-purchase regret. The effectiveness of Fashion Recommender Systems (FRS) in the context of gift purchases with limited preference data remains underexplored. We considered a gift-buying scenario and conducted an experiment with 192 pairs of participants to compare FRS versus humans in recommending fashion gifts to buyers.We find both FRS and humans score >50% correctness in recommending the right gift, even without direct interaction with gift-givers or recipients. Although the buyers know the gift receivers directly, they lead to less accuracy. Additionally, we identify gender-based differences in the recommendations. We also embed our scenario into a smartphone application. Our findings investigate the potential of FRS in cold-start scenarios with limited data and unavailable human assistance while highlighting the risks of using FRS for in-store gift purchases. © 2024 Association for Computing Machinery. All rights reserved
  6. Keywords:
  7. Fashion Recommender Systems ; In-store Gift Purchase ; User Evaluation ; Risk perception ; Sales ; Cold-start ; Direct interactions ; Fashion recommende system ; Gift-giving ; In-store gift purchase ; Limited data ; Preference data ; Prior-knowledge ; Smart-phone applications ; User evaluations ; Recommender systems
  8. Source: Conference on Human Factors in Computing Systems - Proceedings ; 2024 ; 979-840070331-7 (ISBN)
  9. URL: https://dl.acm.org/doi/10.1145/3613905.3651000