Overview on - A Content Filter for Unwanted Messages in Online Social Network

摘要

Data mining is a process of analyzing and extracting useful information from databases. It helps to retrieve more information in various fields. Thus, data mining techniques provide an ease of making decisions regarding their user needs. The term spam is defined as unsolicited message and the goal of spam categorization is to distinguish between spam and acceptable message. The content filtering helps to control the problem in a variety of ways in online social network. The services recommend by social network such as friends to users based on their social graphs; it may not be the most appropriate one in existing methods. A novel semanticbased friend recommendation system for social networks is proposed, in which friends are recommended to users based on their life styles instead of social graphs.