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Proceedings of the 10th ACM Conference on Recommender Systems, 2016
Group recommender systems provide suggestions in contexts in which people operate in groups. The goal of this tutorial is to provide the RecSys audience with an overview on group recommendation. We will first formally introduce the problem of producing recommendations to groups, then present a survey based on the tasks performed by these systems.
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Group recommender systems provide suggestions in contexts in which people operate in groups. The goal of this tutorial is to provide the RecSys audience with an overview on group recommendation. We will first formally introduce the problem of producing recommendations to groups, then present a survey based on the tasks performed by these systems.
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Explanation in Recommender Systems
Artificial Intelligence Review, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Interacting with recommender systems
CHI '99 extended abstracts on Human factors in computer systems - CHI '99, 1999Many people today live in information-rich worlds, constantly facing the question: what should I do next? Which papers should I read to learn about a new area I am interested in? Which movie should I go to? Which restaurant would I like? The experience of friends and colleagues is a valuable resource for making such decisions, especially friends who ...
Patrick Baudisch, Loren G. Terveen
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2010
In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to date. Recommender systems automate some of these strategies with the goal of providing affordable, personal, and high-quality recommendations.
Dietmar Jannach +3 more
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In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to date. Recommender systems automate some of these strategies with the goal of providing affordable, personal, and high-quality recommendations.
Dietmar Jannach +3 more
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Timeliness in recommender systems
Expert Systems with Applications, 2017Abstract Due to the high efficiency in finding the most relevant online products for users from the information ocean, recommender systems have now been applied to many commercial web sites. Meanwhile, many recommendation algorithms have been developed to improve the recommendation accuracy and diversity.
Fuguo Zhang, Qihua Liu, An Zeng
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Interacting with Recommender Systems
Companion Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017Automated recommendations have become a common feature of modern online services and mobile apps. In many practical applications, the means provided for users to interact with recommender systems (e.g., to state explicit preferences or to provide feedback on the recommendations) are, however, very limited.
Dietmar Jannach +2 more
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Knowledge-Based Systems, 2013
Recommender systems have developed in parallel with the web. They were initially based on demographic, content-based and collaborative filtering. Currently, these systems are incorporating social information. In the future, they will use implicit, local and personal information from the Internet of things.
Jesús Bobadilla +3 more
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Recommender systems have developed in parallel with the web. They were initially based on demographic, content-based and collaborative filtering. Currently, these systems are incorporating social information. In the future, they will use implicit, local and personal information from the Internet of things.
Jesús Bobadilla +3 more
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The Ethics of a Recommendation System
2014In this paper, we extend the current research in the recommendation system community by showing that users’ did attach ethical utility to items. In an experiment (N = 111) that manipulated several moral factors regarding the potentially harmful contents in movies, books and games, users were asked to evaluate the appropriateness of recommending these ...
Pinata Winoto, Tiffany Ya Tang
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Economics of Recommender Systems
18th ACM Conference on Recommender SystemsThis tutorial dives into the economics of recommender systems (RSs), presenting existing and ongoing research on how they influence consumer choices, shape market outcomes, and change the incentives of those who interact with them, whether by designing, catering to, or using these systems.
Giacomo Calzolari +3 more
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