Jawaheer, G;
Weller, P;
Kostkova, P;
(2014)
Modeling User Preferences in Recommender Systems: A Classification Framework for Explicit and Implicit User Feedback.
ACM Transactions on Interactive Intelligent Systems
, 4
(2)
, Article 8. 10.1145/2512208.
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Abstract
Recommender systems are firmly established as a standard technology for assisting users with their choices; however, little attention has been paid to the application of the user model in recommender systems, particularly the variability and noise that are an intrinsic part of human behavior and activity. To enable recommender systems to suggest items that are useful to a particular user, it can be essential to understand the user and his or her interactions with the system. These interactions typically manifest themselves as explicit and implicit user feedback that provides the key indicators for modeling users' preferences for items and essential information for personalizing recommendations. In this article, we propose a classification framework for the use of explicit and implicit user feedback in recommender systems based on a set of distinct properties that include Cognitive Effort, UserModel, Scale of Measurement, and Domain Relevance.We develop a set of comparison criteria for explicit and implicit user feedback to emphasize the key properties. Using our framework, we provide a classification of recommender systems that have addressed questions about user feedback, and we review state-of-the-art techniques to improve such user feedback and thereby improve the performance of the recommender system. Finally, we formulate challenges for future research on improvement of user feedback. © 2014 ACM.
Type: | Article |
---|---|
Title: | Modeling User Preferences in Recommender Systems: A Classification Framework for Explicit and Implicit User Feedback |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1145/2512208 |
Publisher version: | https://doi.org/10.1145/2512208 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Inst for Risk and Disaster Reduction |
URI: | https://discovery.ucl.ac.uk/id/eprint/10088708 |
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