Results 51 to 60 of about 46,255 (310)
Collaborative filtering with privacy [PDF]
Proceedings 2002 IEEE Symposium on Security and Privacy, 2005 Server-based collaborative filtering systems have been very successful in e-commerce and in direct recommendation applications. In future, they have many potential applications in ubiquitous computing settings. But today's schemes have problems such as loss of privacy, favoring retail monopolies, and with hampering diffusion of innovations.
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Delay-tolerant collaborative filtering [PDF]
Proceedings of the 7th ACM international symposium on Mobility management and wireless access, 2009 Recommender systems using collaborative filtering are a well-established technique to overcome information overload in today's digital society. Currently, predominant collaborative filtering systems mostly depend on huge centralized databases to store user preferences and furthermore are only available when connected to Internet.
Gratz, Patrick, Leclerc, Tom
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A Big Data Analysis Method Based on Modified Collaborative Filtering Recommendation Algorithms
Open Physics, 2019 With the rapid development of e-commerce, collaborative filtering recommendation system has been widely used in various network platforms. Using recommendation system to accurately predict customers’ preferences for goods can solve the problem of ...
Yin Nan
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Enforcing Differential Privacy for Shared Collaborative Filtering
IEEE Access, 2017 Collaborative filtering is now successfully applied to recommender systems. The availability of extensive personal data is necessary for generating high quality recommendations.
Jianqiang Li +6 more
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Construction and Application of Music Audio Database Based on Collaborative Filtering Algorithm
Discrete Dynamics in Nature and Society, 2022 In recent years, with the development of Big Data and dynamic modeling technology, people have gradually deepened the research on the efficient construction of music audio database.
Jianfei Zheng
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Choice of Metrics used in Collaborative Filtering and their Impact on Recommender Systems
, 2008 The capacity of recommender systems to make correct predictions is essentially determined by the quality and suitability of the collaborative filtering that implements them.
E. Martinez +7 more
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Algorithms, 2020 Collaborative filtering algorithms formulate personalized recommendations for a user, first by analysing already entered ratings to identify other users with similar tastes to the user (termed as near neighbours), and then using the opinions of the near ...
Dionisis Margaris +3 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye +33 more
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Collaborative Filtering CAPTCHAs [PDF]
, 2005 Current CAPTCHAs require users to solve objective questions such as text recognition or image recognition. We propose a class of CAPTCHAs based on collaborative filtering. Collaborative filtering CAPTCHAs allow us to ask questions that have no absolute answer; instead, the CAPTCHAs are graded by comparison to other people’s answers.
Monica Chew, J. D. Tygar
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Disentangled Graph Collaborative Filtering [PDF]
Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020 SIGIR ...
Xiang Wang 0010 +5 more
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