Interacting with recommenders—overview and research directions
Automated recommendations have become a ubiquitous part of today's online user
experience. These systems point us to additional items to purchase in online shops, they …
experience. These systems point us to additional items to purchase in online shops, they …
User simulation for evaluating information access systems
With the emergence of various information access systems exhibiting increasing complexity,
there is a critical need for sound and scalable means of automatic evaluation. To address …
there is a critical need for sound and scalable means of automatic evaluation. To address …
Exploring the filter bubble: the effect of using recommender systems on content diversity
Eli Pariser coined the term'filter bubble'to describe the potential for online personalization to
effectively isolate people from a diversity of viewpoints or content. Online recommender …
effectively isolate people from a diversity of viewpoints or content. Online recommender …
Explaining recommendations: Design and evaluation
N Tintarev, J Masthoff - Recommender systems handbook, 2015 - Springer
In recent years, there has been an increased interest in more user-centered evaluation
metrics for recommender systems such as those mentioned in [49]. It has also been …
metrics for recommender systems such as those mentioned in [49]. It has also been …
Personalized explanations for hybrid recommender systems
Recommender systems have become pervasive on the web, shaping the way users see
information and thus the decisions they make. As these systems get more complex, there is …
information and thus the decisions they make. As these systems get more complex, there is …
Evaluating recommender systems
Recommender systems are now popular both commercially and in the research community,
where many approaches have been suggested for providing recommendations. In many …
where many approaches have been suggested for providing recommendations. In many …
Comparative recommender system evaluation: benchmarking recommendation frameworks
A Said, A Bellogín - Proceedings of the 8th ACM Conference on …, 2014 - dl.acm.org
Recommender systems research is often based on comparisons of predictive accuracy: the
better the evaluation scores, the better the recommender. However, it is difficult to compare …
better the evaluation scores, the better the recommender. However, it is difficult to compare …
Evaluating recommender systems with user experiments
BP Knijnenburg, MC Willemsen - Recommender systems handbook, 2015 - Springer
Traditionally, the field of recommender systems has evaluated the fruits of its labor using
metrics of algorithmic accuracy and precision (see Chap. 8 for an overview of recommender …
metrics of algorithmic accuracy and precision (see Chap. 8 for an overview of recommender …
Human decision making and recommender systems
A Jameson, MC Willemsen, A Felfernig… - Recommender systems …, 2015 - Springer
If we assume that an important function of recommender systems is to help people make
better choices, it follows that people who design and study recommender systems ought to …
better choices, it follows that people who design and study recommender systems ought to …
Modeling users' heterogeneous taste with diversified attentive user profiles
O Barkan, T Shaked, Y Fuchs, N Koenigstein - User Modeling and User …, 2024 - Springer
Two important challenges in recommender systems are modeling users with heterogeneous
taste and providing explainable recommendations. In order to improve our understanding of …
taste and providing explainable recommendations. In order to improve our understanding of …