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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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Robustness of recommender systems
Proceedings of the fifth ACM conference on Recommender systems, 2011The possibility of designing user rating profiles to deliberately and maliciously manipulate the recommendation output of a collaborative filtering system was first raised in 2002. One scenario proposed was that an author, motivated to increase recommendations of his book, might create a set of false profiles that rate the book highly, in an effort to ...
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Proceedings of the sixth ACM conference on Recommender systems, 2012
A recent addition to Microsoft's Xbox Live Marketplace is a recommender system which allows users to explore both movies and games in a personalized context. The system largely relies on implicit feedback, and runs on a large scale, serving tens of millions of daily users. We describe the system design, and review the core recommendation algorithm.
Noam Koenigstein +3 more
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A recent addition to Microsoft's Xbox Live Marketplace is a recommender system which allows users to explore both movies and games in a personalized context. The system largely relies on implicit feedback, and runs on a large scale, serving tens of millions of daily users. We describe the system design, and review the core recommendation algorithm.
Noam Koenigstein +3 more
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A recommender system for metrics
Proceedings of the 2012 IEEE 16th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2012Over the past 5 decades society has been increasingly requiring immediate results, and this is reflected in business. Due to this, the attention given to strategy, strategy management and strategy planning has increased. The use of the Balanced Scorecard (BSC) is a way of achieving this strategic capability. Moreover, a proper BSC has effective metrics
Luiz F. C. Tomaz +3 more
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Biases in Recommendation System
Fifteenth ACM Conference on Recommender Systems, 2021Recommendation systems shape what people consume and experience online, which makes it critical to assess their effect on society and whether they are affected by any potential source of bias. My research focuses on a specific source of bias — popularity — that is especially relevant in two online contexts: news consumption, and cultural markets ...
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Multimedia recommender systems
Proceedings of the 12th ACM Conference on Recommender Systems, 2018This tutorial introduces multimedia recommender systems (MMRS), in particular, recommender systems that leverage multimedia content to recommend different media types. In contrast to the still most frequently adopted collaborative filtering approaches, we focus on content-based MMRS and on hybrids of collaborative filtering and content-based filtering.
Yashar Deldjoo +3 more
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Asynchronous recommendation systems
Proceedings of the twenty-sixth annual ACM symposium on Principles of distributed computing, 2007We consider the following abstraction of recommendation systems. There are n players and m objects, and each player has an arbitrary binary preference grade (“likes” or “dislikes”) for each object. The problem is that these preferences are not known, and the goal of the players is to discover their own preferences.
Baruch Awerbuch +2 more
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An intelligent recommendation system in e-commerce using ensemble learning
Multimedia tools and applications, 2023Achyut Shankar +6 more
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