Results 251 to 260 of about 687,174 (294)

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   +1 more source

PCSF: Privacy-Preserving Content-Based Spam Filter

IEEE Transactions on Information Forensics and Security, 2023
The 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, Willy Susilo, Joonsang Baek, Jongkil Kim, Yang-Wai Chow   +4 more
openaire   +2 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 Polčicová, Pavol Návrat
openaire   +1 more source

Interactive story generation via content-based filtering

In resent times, Artificial Intelligence (AI) has started to expand in many domains, as much in science as in the world of gaming development. In our thesis, we explore the use of an AI agent in the development of an interactive story generation system through the application of content-based filtering techniques.
Σεφερλη Ηλιοδωρα http://users.isc.tuc.gr/~iseferli, Seferli Iliodora http://users.isc.tuc.gr/~iseferli   +1 more
openaire   +2 more sources

Content-Based Collaborative Filtering using Word Embedding

Proceedings of the International Conference on Research in Adaptive and Convergent Systems, 2020
The lack of sufficient ratings will reduce effectively modeling user reference and finding trustworthy similar users in collaborative filtering (CF)-based recommendation systems, also known as a cold-start problem. To solve this problem and improve the efficiency of recommendation systems, we propose a new content-based CF approach based on item ...
Luong Vuong Nguyen, Tri-Hai Nguyen, Jason J. Jung   +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

Personalized Mobile Searching Approach Based on Combining Content-Based Filtering and Collaborative Filtering

IEEE Systems Journal, 2017
Resources in cloud computing platforms such as Amazon, Google AppEngine, and Microsoft Azure are a natural fit to remedy the lack of local resources in mobile devices, which creates a new space of mobile search to improve the availability of cloud resources.
Feng Zhao, Fengwei Yan, Hai Jin, Laurence T. Yang, Chen Yu   +4 more
openaire   +1 more source

Ontological content‐based filtering for personalised newspapers

Online Information Review, 2010
PurposeThe purpose of this paper is to describe a new ontological content‐based filtering method for ranking the relevance of items for readers of news items, and its evaluation. The method has been implemented in ePaper, a personalised electronic newspaper prototype system.
Veronica Maidel, Peretz Shoval, Bracha Shapira, Meirav Taieb‐Maimon   +3 more
openaire   +1 more source

Content semantic filter based on Domain Ontology

2010 IEEE International Conference on Progress in Informatics and Computing, 2010
A methodology for content filtering based on ontology similarity is presented, which uses Domain Ontology to describe the characteristic of knowledge of a specific domain. By analyzing the context of the Word of Concern (WoC), the justifiability and accuracy of filter is improved.
null Chunxiao Fan, null Jie Song, null Zhigang Wen, null Yuexin Wu   +3 more
openaire   +1 more source

Recommendation Systems: Content-Based Filtering vs Collaborative Filtering

2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 2022
Sherin Eliyas, P. Ranjana
openaire   +1 more source