Abstract
AbstractUser preferences are a crucial input needed by recommender systems to determine relevant items. In single-shot recommendation scenarios such as content-based filtering and collaborative filtering, user preferences are represented, for example, as keywords, categories, and item ratings. In conversational recommendation approaches such as constraint-based and critiquing-based recommendation, user preferences are often represented on the semantic level in terms of item attribute values and critiques. In this article, we provide an overview of preference representations used in different types of recommender systems. In this context, we take into account the fact that preferences aren’t stable but are rather constructed within the scope of a recommendation process. In which way preferences are determined and adapted is influenced by various factors such as personality traits, emotional states, and cognitive biases. We summarize preference construction related research and also discuss aspects of counteracting cognitive biases.
Funder
H2020 Research Infrastructures
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Reference126 articles.
1. Adomavicius, G., Bockstedt, J., Curley, S., & Zhang, J. (2011). Recommender Systems, consumer preferences, and anchoring effects. In RecSys 2011 workshop on human decision making in recommender systems (pp. 35–42).
2. Atas, M., Felfernig, A., Stettinger, M., & Trang Tran, T.N. (2017). Beyond item recommendation: Using recommendations to stimulate knowledge sharing in group decisions. In 9th Intl. Conf. on Social Informatics (SocInfo 2017) (pp. 368–377). Oxford, UK.
3. Ayata, D., Yaslan, Y., & Kamasak, M. (2018). Emotion based music recommendation system using wearable physiological sensors. IEEE Transactions on Consumer Electronics, 14(8), 196–203.
4. Bettman, J., Luce, M., & Payne, J. (1998). Constructive consumer choice processes. Journal of Consumer Research, 25(3), 187–217.
5. Bollen, D., Graus, M., & Willemsen, M. (2012). Remembering the Stars?: Effect of time on preference retrieval from memory. In 6th CM Conference on recommender systems (pp. 217–220). Dublin, Ireland.
Cited by
13 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Personality, Emotions, and Group Dynamics;Signals and Communication Technology;2023-09-23
2. Biases in Group Decisions;Signals and Communication Technology;2023-09-23
3. Explanations for Groups;Signals and Communication Technology;2023-09-23
4. Handling Preferences;Signals and Communication Technology;2023-09-23
5. Decision Tasks and Basic Algorithms;Signals and Communication Technology;2023-09-23