Design guidelines for effective recommender system interfaces based on a usability criteria conceptual model: results from a college student population
Abstract
With the retail electronic commerce being a major global shopping phenomenon, retailers need to develop additional tools to improve their sales. One such tool is a recommender system through which the shopping page recommends products to the shoppers using their past Web shopping and product search behaviour. While recommender systems are common, few studies exist regarding their usability and user preferences. In this study, a structured survey concerning what recommender systems should contain and how this content should be presented was administered on 131 college-aged online shoppers. Results indicate participants prefer specific recommender content. Price, image and names of products are identified as essential information, while product promotions, customer ratings and feedback are identified as secondary types of information. Shoppers preferred short and relevant recommender information, with a maximum of three recommendations on one page. Future studies may explore differences in preference of recommender systems based on different product types.
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It is essential to consider not only content and technical implementation but also structure and visual presentation of the interface (interface adequacy).
“It is essential to consider not only the content and technical implementation but also the structure and visual presentation of the interface (interface adequacy) (Ozok et al. 2010).”
From AdaptUI: A Framework for the development of Adaptive User Interfaces in Smart Product-Service Systems (2024) · cites this paper as Ozok et al. 2010
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Freites, A. E. A., Rojas, L., Reina, D. R., Villareal-Freire, Á., & Cardona, R. (2025) · Revista CEA · doi:10.22430/24223182.3253
- Authors
- Ozok, A. A., Fan, Q., & Norcio, A. F.
- Affiliations
- University of Maryland, Baltimore County (US)
- Corresponding author
- Ozok, A. Ant
- Venue
- Behaviour & Information Technology
- Publisher
- Informa UK Limited
- Published
- 2009-06-05
- Volume
- 29
- Issue
- 1
- Pages
- 57-83
- ISSN
- 0144-929X (ISSN-L)
- 1362-3001
- OpenAlex
- W2064632585
- Cited by
- 60
- References
- 48
- Citations by year
- 2025: 4 · 2024: 7 · 2023: 3 · 2022: 3 · 2021: 4 · 2020: 5 · 2019: 5 · 2018: 4 · 2016: 5 · 2015: 1 · 2014: 5 · 2013: 7 · 2012: 3
- FWCI
- 6.17
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Behaviour and Information Technology (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- recommender systems, usability, user interface design, online shopping, e-commerce, user preferences, university students, customer ratings, product promotion
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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