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View all- Hauptmann HTrattner CTorkamaan H(2024)The 6th International Workshop on Health Recommender SystemsProceedings of the 18th ACM Conference on Recommender Systems10.1145/3640457.3687113(1232-1236)Online publication date: 8-Oct-2024
The goal of a recommender system is to suggest items of interest to a user based on historical behavior of a community of users. Given detailed enough history, item-based collaborative filtering (CF) often performs as well or better than almost any ...
Recommender Systems use implicit and explicit user feedback to recommend desired products or items online. When the recommendation item is a task or behavior change activity, several variables, such as the difficulty of the task and users’ ability to ...
When 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 ...
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