Lightweight content filtering system for mobile phones

In one embodiment, a content filtering system includes a feature list and a learning model. The feature list may be a subset of a dictionary that was used to train the content filtering system to identify classification (e.g., spam, phishing, porn, legitimate text messages, etc.) of text messages du...

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Bibliographic Details
Main Authors DIAO LILI, CAO JACKIE, CHAN VINCENT
Format Patent
LanguageEnglish
Published 13.07.2010
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRIC DIGITAL DATA PROCESSING
ELECTRICITY
PHYSICS
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
WIRELESS COMMUNICATIONS NETWORKS
Online AccessGet full text

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Summary:In one embodiment, a content filtering system includes a feature list and a learning model. The feature list may be a subset of a dictionary that was used to train the content filtering system to identify classification (e.g., spam, phishing, porn, legitimate text messages, etc.) of text messages during a training stage. The learning model may include representative vectors, each of which represents a particular class of text messages. The learning model and the feature list may be generated in a server computer during the training stage and then subsequently provided to the mobile phone. An incoming text message in the mobile phone may be parsed for occurrences of feature words included in the feature list and then converted to an input vector. The input vector may be compared to the learning model to determine the classification of the incoming text message.
Bibliography:Application Number: US20060483073