Martin Svensson
Kristina Höök
ABSTRACT
We performed a 6-month study of a food recommender system to determine the influence of social trails on users choice of recipes. To measure the impact of the recom-mender functionality, we choose to avoid predictive accu-racy metrics, and opted for contextualised subjective meas-ures, comparing recommendations to searching and brows-ing. 18% of the selected recipes came from the list of rec-ommended recipes. In addition, users liked and understood the recommendation functionality.
- Breese, J.S., Heckerman, D., and Kadie, C. Empirical analysis of predictive algorithms for collaborative filtering. In Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence, Madison, WI, 1998. Google Scholar
Digital Library
- Svensson, M, Höök, K., Laaksolahti, J., and Waern, A. Social Navigation of Food Recipes, In Proceedings of the 2001 Computer Human Interaction conference (CHI 2001), ACM, Seattle, 2001. Google ScholarDigital Library
Index Terms
- Evaluating social trails
Recommendations
Designing and evaluating kalas: A social navigation system for food recipes
The idea of social navigation is to aid users to navigate information spaces through making the collective, aggregated, or individual actions of others visible and useful as a basis for making decisions on where to go next and what to choose. These ...
A new approach to evaluating novel recommendations
RecSys '08: Proceedings of the 2008 ACM conference on Recommender systemsThis paper presents two methods, named Item- and User-centric, to evaluate the quality of novel recommendations. The former method focuses on analyzing the item-based recommendation network. The aim is to detect whether the network topology has any ...
Are All Rejected Recommendations Equally Bad?: Towards Analysing Rejected Recommendations
UMAP '19: Proceedings of the 27th ACM Conference on User Modeling, Adaptation and PersonalizationWhen evaluating algorithms that recommend a list of relevant items to a user, it is common to use metrics such as precision to measure the system accuracy. When computing precision, one computes the number of items that were selected by the user among ...
Comments