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Recommendation system exploiting aspect-based opinion mining with deep learning method
Information Sciences, 2020With the developments of e-commerce websites, user textual review has become an important source of information for improving the performance of recommendation systems, as they contain fine-grained users’ opinions that generally reflect their preference ...
Aminu Da’u +3 more
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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
openaire +1 more source
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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Learning Path Recommendation System for Programming Education Based on Neural Networks
International Journal of Distance Education Technologies, 2020Programming education has recently received increased attention due to growing demand for programming and information technology skills. However, a lack of teaching materials and human resources presents a major challenge to meeting this demand.
Tomohiro Saito, Yutaka Watanobe
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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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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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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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An intelligent recommendation system in e-commerce using ensemble learning
Multimedia tools and applications, 2023Achyut Shankar +6 more
semanticscholar +1 more source