Recommender systems: Past, present, future

The origins of modern recommender systems date back to the early 1990s when they were mainly applied experimentally to personal email and information filtering. Today, 30 years later, personalized recommendations are ubiquitous and research in this highly successful application area of AI is flouris...

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Bibliographic Details
Published in:The AI magazine 2021-10, Vol.42 (3), p.3-6
Main Authors: Jannach, Dietmar, Pu, Pearl, Ricci, Francesco, Zanker, Markus
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Artificial intelligence
Collaboration
Decision making
Human-computer interaction
Machine learning
Ratings & rankings
Recommender systems
Research methodology
User experience
Online Access:Get full text
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Summary:The origins of modern recommender systems date back to the early 1990s when they were mainly applied experimentally to personal email and information filtering. Today, 30 years later, personalized recommendations are ubiquitous and research in this highly successful application area of AI is flourishing more than ever. Much of the research in the last decades was fueled by advances in machine learning technology. However, building a successful recommender system requires more than a clever general-purpose algorithm. It requires an indepth understanding of the specifics of the application environment and the expected effects of the system on its users. Ultimately, making recommendations is a human-computer interaction problem, where a computerized system supports users in information search or decision-making contexts. This special issue contains a selection of papers reflecting this multi-faceted nature of the problem and puts open research challenges in recommender systems to the forefront. It features articles on the latest learning technology, reflects on the humancomputer interaction aspects, reports on the use of recommender systems in practice, and it finally critically discusses our research methodology.
ISSN:0738-4602
2371-9621
DOI:10.1609/aaai.12012