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Explanation in Recommender Systems

Artificial Intelligence Review, 2005
zbMATH 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, 1999
Many 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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Recommender Systems

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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Timeliness in recommender systems

Expert Systems with Applications, 2017
Abstract 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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A Survey of Recommendation Systems

Information Resources Management Journal, 2020
Today's internet is able to discover almost any product or piece of information. The large amounts of unfiltered information returned by an internet query calls for filters able to validate and rank the available options. Recommender systems (RSs) are a software tool designed to qualify the options available and make suggestions that align with the ...
Sushma Malik, Anamika Rana, Mamta Bansal
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Interacting with Recommender Systems

Companion Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017
Automated 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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Recommender systems survey

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

2014
An abstract is not ...
Lucchese C   +5 more
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The Ethics of a Recommendation System

2014
In 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 Systems
This 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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