Results 151 to 160 of about 693,638 (193)

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

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   +2 more sources

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

Malicious content filtering based on semantic features

Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human, 2009
This paper proposes a method to filtering malicious contents using semantic features. In conventional content based approach, low-level features such as color and texture are used to filter malicious contents. But, it is difficult to detect them because of semantic gaps between the low-level features and global concepts.
Semin Kim, Hyun-seok Min, Jaehyun Jeon 0003, Yong Man Ro, Seungwan Han   +4 more
openaire   +1 more source

Content Based Spam E-mail Filtering

2016 International Conference on Collaboration Technologies and Systems (CTS), 2016
Currently, E-mail is one of the most important methods of communication. However, the increasing of spam e-mails causes traffic congestion, decreasing productivity, phishing, which has become a serious problem for our society. And the number of spam e-mail is increasing every year.
Pingchuan Liu, Teng-Sheng Moh
openaire   +1 more source

Content-Based Image Filtering for Recommendation

2006
Content-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
openaire   +1 more source

A Framework for Collaborative, Content-Based and Demographic Filtering

Artificial Intelligence Review, 1999
We discuss learning a profile of user interests for recommending information sources such as Web pages or news articles. We describe the types of information available to determine whether to recommend a particular page to a particular user. This information includes the content of the page, the ratings of the user on other pages and the contents of ...
openaire   +1 more source

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 0003, Fengwei Yan, Hai Jin 0001, Laurence T. Yang, Chen Yu 0003   +4 more
openaire   +1 more source

Evaluating content-based filters for image and video retrieval

Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, 2004
This paper investigates the level of metadata accuracy required for image filters to be valuable to users. Access to large digital image and video collections is hampered by ambiguous and incomplete metadata attributed to imagery. Though improvements are constantly made in the automatic derivation of semantic feature concepts such as indoor, outdoor ...
Michael G. Christel, Neema Moraveji, Chang Huang   +2 more
openaire   +1 more source

Filtering Objectionable Image Based on Image Content

2006
This paper proposes an effective system to detect adult image. We take this task as a two-class pattern classification problem, The system first applies histogram color model to detect the skin regions, then extracts color, texture, shape features from skin regions, after that, the features is fed to a SVM to determine whether the input image is benign
Zhiwei Jiang, Min Yao, Wensheng Yi
openaire   +1 more source