Recommender Systems and their Ethical Challenges

Recommender Systems: Introduction and Challenges

Recommender Systems (RSs) are software tools and techniques that provide suggestions for items that are most likely of interest to a particular user [17, 41, 42]. The suggestions relate to various decision-making processes, such as what items to buy, what music to listen to, or what online news to read. “Item” is the general term used to denote what the system recommends to users. An RS normall...

Challenges for Nutrition Recommender Systems

Obesity or being overweight in general often leads to other more severe diseases. With more than half of the population in the western countries being overweight or even obese, systems are developed to help users make healthier food choices by recommending healthier recipes or food items according to the user’s needs or likes and dislikes. But there are many challenges designing such systems. I...

ISLAM AND CONTEMPORARY ETHICAL CHALLENGES

Recommender Systems and their Security Concerns

Instead of simply using two-dimensional User × Item features, advanced recommender systems rely on more additional dimensions (e.g. time, location, social network) in order to provide better recommendation services. In the first part of this paper, we will survey a variety of dimension features and show how they are integrated into the recommendation process. When the service providers collect ...

Understanding Recommender Systems: Experimental Evaluation Challenges

The paper discusses some significant issues in the empirical evaluation of interactive recommender: the role of experiments, the contingent and constructive nature of users’ interaction strategies, and the generalizability of the results. We propose to adopt as the main evaluation goal the construction of a situation-specific account of the user-system behavior, and we suggest applying the cont...