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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 0001, 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 0001, 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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Breaking and fixing content-based filtering
2017 APWG Symposium on Electronic Crime Research (eCrime), 2017We demonstrate a vulnerability in existing content-based message filtering methods, showing how an attacker can use a simple obfuscator to modify any message to a homograph version of the same message, thereby avoiding digest and signature based detection methods.
Mayank Dhiman +2 more
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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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A symbolic approach for content-based information filtering
Information Processing Letters, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Byron L. D. Bezerra +1 more
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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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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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Semantic Similarity in Content-Based Filtering
2002In content-based filtering systems, content of items is used to recommend new items to the users. It is usually represented by words in natural language where meanings of words are often ambiguous. We studied clustering of words based on their semantic similarity. Then we used word clusters to represent items for recommending new items by content-based
Gabriela Polcicová, Pavol Návrat
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Content-Based Filtering in On-Line Social Networks
2011This paper proposes a system enforcing content-based message filtering for On-line Social Networks (OSNs). The system allows OSN users to have a direct control on the messages posted on their walls. This is achieved through a flexible rule-based system, that allows a user to customize the filtering criteria to be applied to their walls, and a Machine ...
Marco Vanetti +4 more
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Content-based filtering system for music data
2004 International Symposium on Applications and the Internet Workshops. 2004 Workshops., 2004Recommender systems, which recommend appropriate information to users from enormous amount of information, are becoming popular. There are two methods to realize recommender systems. One is content-based filtering, and the other is collaborative filtering.
Kazuhiro Iwahama +2 more
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