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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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Content-Based Collaborative Filtering using Word Embedding
Proceedings of the International Conference on Research in Adaptive and Convergent Systems, 2020The 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 +2 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 Polčicová, Pavol Návrat
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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 +1 more
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Ontological content‐based filtering for personalised newspapers
Online Information Review, 2010PurposeThe 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 +3 more
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Recommendation System Based on Content Based Filtering
2023Abstract—A recommendation system is a subclass of information filtering systems that provide or suggests products to its target audience. Recommendation systems are widely used these days. It may be in the form of friend suggestions on Facebook, suggesting similar products on e-commerce sites, etc.
Jisna P Antony, Jinson Devis
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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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Recommendation Systems: Content-Based Filtering vs Collaborative Filtering
2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 2022Sherin Eliyas, P. Ranjana
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Content-Based Filtering Recommendation Algorithm Using HMM
2012 Fourth International Conference on Computational and Information Sciences, 2012In this paper, we combine probabilistic model and classical content-based filtering recommendation algorithms to propose a new algorithm for recommendation system, which we call content-based filtering recommendation algorithm using HMM. We utilize the HMM of recommended items to match user model and recommend items using user data.
Hui Li, Fei Cai, Zhifang Liao
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Content-Based Image Filtering for Recommendation
2006Content-based filtering can reflect content information, and provide recommendations by comparing various feature based information regarding an item. However, this method suffers from the shortcomings of superficial content analysis, the special recommendation trend, and varying accuracy of predictions, which relies on the learning method. In order to
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