Results 211 to 220 of about 227,300 (265)

Unifying collaborative and content-based filtering

Twenty-first international conference on Machine learning - ICML '04, 2004
Collaborative 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.
openaire   +2 more sources

Content based SMS spam filtering

Proceedings of the 2006 ACM symposium on Document engineering, 2006
In the recent years, we have witnessed a dramatic increment in the volume of spam email. Other related forms of spam are increasingly revealing as a problem of importance, specially the spam on Instant Messaging services (the so called SPIM), and Short Message Service (SMS) or mobile spam.Like email spam, the SMS spam problem can be approached with ...
José María Gómez Hidalgo, Guillermo Cajigas Bringas, Enrique Puertas Sanz, Francisco Carrero García   +3 more
openaire   +1 more source

Breaking and fixing content-based filtering

2017 APWG Symposium on Electronic Crime Research (eCrime), 2017
We 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, Markus Jakobsson, Ting-Fang Yen   +2 more
openaire   +2 more sources

A multi-criteria content-based filtering system

Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, 2007
In 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.
openaire   +4 more sources

Semantic Similarity in Content-Based Filtering

2002
In 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
openaire   +1 more source

Twitter Content-Based Spam Filtering

2014
Twitter 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, Igor Miñambres-Marcos, Carlos Laorden, Patxi Galán-García, Aitor Santamaría-Ibirika, Pablo García Bringas   +5 more
openaire   +1 more source

Content-based filtering system for music data

2004 International Symposium on Applications and the Internet Workshops. 2004 Workshops., 2004
Recommender 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, Yoshinori Hijikata, Shogo Nishida   +2 more
openaire   +1 more source

A structural and content‐based analysis for Web filtering

Internet Research, 2003
With the proliferation of objectionable materials (e.g. pornography, violence, drugs, etc.) available on the WWW, there is an urgent need for effective countermeasures to protect children and other unsuspecting users from exposure to such materials.
Pui Y. Lee, Siu Cheung Hui, Alvis Cheuk M. Fong   +2 more
openaire   +1 more source

Content-Based Filtering in On-Line Social Networks

2011
This 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, BINAGHI, ELISABETTA, CARMINATI, BARBARA, Moreno Carullo, FERRARI, ELENA   +4 more
openaire   +2 more sources

A symbolic approach for content-based information filtering

Information Processing Letters, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Byron L. D. Bezerra, Francisco de A. T. de Carvalho   +1 more
openaire   +2 more sources