Review on Novel Approach to Filter Unwanted Messages in On-line Social Networks
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 3
Abstract
Nowadays, online social networking websites are used frequently. These websites are known as social sites. Social networking sites works like an online internet users community. Depending on the websites many of these online community members share common interests in hobbies, religion, politics as well as alternative lifestyles. Once you are authorized to access to a social networking website you will be able to socialize. Socialization can include accessing or reading the profile pages of other members those are involved in social sites and possibly even contacting them. But the serious issue in online social networks is that users are not able to control the messages posted on their walls so to fill the gap in this review paper we are proposing some approaches which will allow OSN users to have a direct control on the messages posted on their walls. This can be done with the help of some rule-based system which is flexible enough to allow the users to customize the filtering criteria to be applied to their walls, and a Machine Learning classification based on content filtering.
Authors and Affiliations
Sana Rafique Patka, S D Zade
Keywords
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