Psychology-informed Recommender Systems (Foundations and Trends® in Information Retrieval) - Softcover

Elisabeth Lex (author); Dominik Kowald (author); Paul Seitlinger (author); Thi Ngoc Trang Tran (author); Alexander Felfernig (author) & Markus Schedl (author)

Softcover

ISBN 10: 168083844X ISBN 13: 9781680838442

Publisher: Now Publishers, 2021

Synopsis

Personalized recommender systems have become indispensable in today’s online world. Most of today’s recommendation algorithms are data-driven and based on behavioral data. While such systems can produce useful recommendations, they are often uninterpretable, black-box models that do not incorporate the underlying cognitive reasons for user behavior in the algorithms’ design. This survey presents a thorough review of the state of the art of recommender systems that leverage psychological constructs and theories to model and predict user behavior and improve the recommendation process – so-called psychology-informed recommender systems. The survey identifies three categories of psychology-informed recommender systems: cognition-inspired, personality-aware, and affect-aware recommender systems. For each category, the authors highlight domains in which psychological theory plays a key role. Further, they discuss selected decision-psychological phenomena that impact the interaction between a user and a recommender. They also focus on related work that investigates the evaluation of recommender systems from the user perspective and highlight user-centric evaluation frameworks, and potential research tasks for future work at the end of this survey.

Edition details

• Publisher: Now Publishers
• Publication date: 2021
• Language: English
• ISBN 10: 168083844X
• ISBN 13: 9781680838442
• Binding: Paperback
• Number of pages: 122