Users' eye gaze pattern in organization-based recommender interfaces
Proceedings of the 16th international conference on Intelligent user interfaces
User-centric smart services in the cloud
The smart internet
User-centric smart services in the cloud
The smart internet
A user-centric evaluation framework for recommender systems
Proceedings of the fifth ACM conference on Recommender systems
A pragmatic procedure to support the user-centric evaluation of recommender systems
Proceedings of the fifth ACM conference on Recommender systems
A literature review and classification of recommender systems research
Expert Systems with Applications: An International Journal
Explaining the user experience of recommender systems
User Modeling and User-Adapted Interaction
Modeling the structure of recommending interfaces with adjustable influence on users
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II
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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.