Results 241 to 250 of about 27,052,763 (294)

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

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

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

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
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Anime Based on Content-Based Filtering

Journal of Web Development and Web Designing, 2023
Anime 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, Raghav Singhal, Abhinav Goel, Vijay Kumar   +3 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
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Content Based Filtering And Collaborative Filtering: A Comparative Study [PDF]

Journal of Advanced Zoology
Collecting data from users is a frequent practice for websites to improve various aspects of their products and services, such as performance, usability, and security.
Ms. Tejashri Sharad Phalle, Prof. Shivendu Bhushan   +1 more
openaire   +2 more sources

Algorithms for Efficient Filtering in Content-Based Multicast

2001
Content-Based Multicast is a type of multicast where the source sends a set of different classes of information and not all the subscribers in the multicast group need all the information. Use of filtering publish-subscribe agents on the intermediate nodes was suggested [5] to filter out the unnecessary information on the multicast tree.
Langerman, Stefan, Lodha, S., Shah, R.
openaire   +3 more sources