Results 211 to 220 of about 200,906 (266)
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The 2010 International Joint Conference on Neural Networks (IJCNN), 2010
The growth of email users has resulted in the dramatic increasing of the spam emails. Helpfully, there are different approaches able to automatically detect and remove most of these messages, and the best-known ones are based on Bayesian decision theory and Support Vector Machines.
Tiago A. Almeida, Akebo Yamakami
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The growth of email users has resulted in the dramatic increasing of the spam emails. Helpfully, there are different approaches able to automatically detect and remove most of these messages, and the best-known ones are based on Bayesian decision theory and Support Vector Machines.
Tiago A. Almeida, Akebo Yamakami
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Unifying collaborative and content-based filtering
Twenty-first international conference on Machine learning - ICML '04, 2004Collaborative and content-based filtering are two paradigms that have been applied in the context of recommender systems and user preference prediction. This paper proposes a novel, unified approach that systematically integrates all available training information such as past user-item ratings as well as attributes of items or users to learn a ...
Basilico, J., Hofmann, T.
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Anime Based on Content-Based Filtering
Journal of Web Development and Web Designing, 2023Anime comes from the word "Animation", nowadays it is very popular among people, mostly kids and teenagers. They are being streamed on large platforms such as Netflix and Amazon Prime. Millions of people watch anime nowadays regularly. It has a huge fan base.
Sagar Jain +3 more
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Movie Recommendation using Content Based Filtering
2023Abstract— We propose a recommendation system based on machine learning that recommends movies to users based on movie metadata. The purpose of movie recommendation systems is to help movie viewers by suggesting films to watch without making them go through the difficult and time-consuming process of selecting from a large selection of films that number
Alan Shijo, Jetty Benjamin
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A multi-criteria content-based filtering system
Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, 2007In this paper we present a novel filtering system, based on a new model which reshapes the aims of content-based filtering. The filtering system has been developed within the EC project PENG, aimed at providing news professionals, such as journalists, with a system supporting both filtering and retrieval capabilities.
PASI, GABRIELLA, Bordogna, G, Villa, R.
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Content-based filtering discovery protocol (CFDP)
Proceedings of the 8th ACM International Conference on Distributed Event-Based Systems, 2014The OMG Data Distribution Service (DDS) has been deployed in many mission-critical systems and increasingly in Internet of Things (IoT) applications since it supports a loosely-coupled, data-centric publish/subscribe paradigm with a rich set of quality-of-service (QoS) policies.
Kyoungho An +5 more
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PCSF: Privacy-Preserving Content-Based Spam Filter
IEEE Transactions on Information Forensics and Security, 2023The purpose of privacy-preserving spam filtering is to inspect email while preserving the privacy of its detection rules and the email content. Although many solutions have emerged, they suffer from the following: 1) The privacy provided is insufficient as the email content or detection rules may be exposed to third parties; 2) Due to improper use of ...
Intae Kim +4 more
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Content Based Spam E-mail Filtering
2016 International Conference on Collaboration Technologies and Systems (CTS), 2016Currently, E-mail is one of the most important methods of communication. However, the increasing of spam e-mails causes traffic congestion, decreasing productivity, phishing, which has become a serious problem for our society. And the number of spam e-mail is increasing every year.
Pingchuan Liu, Teng-Sheng Moh
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Twitter Content-Based Spam Filtering
2014Twitter has become one of the most used social networks. And, as happens with every popular media, it is prone to misuse. In this context, spam in Twitter has emerged in the last years, becoming an important problem for the users. In the last years, several approaches have appeared that are able to determine whether an user is a spammer or not. However,
Igor Santos +5 more
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