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Considering the facts that people access to item information more easily than to user information given user privacy, and the features of items selected by the user always imply his/her preferences, we hope to utilize item features to mine user preferences besides ratings. What is more, ratings are often linguistic labels and fuzzy set is tailor-made to represent them. Therefore, we propose a novel...
SMS messaging is a popular media of communication. Because of its popularity and privacy, it could be used for many illegal purposes. Additionally, since they are part of the day to day life, SMSes can be used as evidence for many legal disputes. Since a cellular phone might be accessible to people close to the owner, it is important to establish the fact that the sender of the message is indeed the...
Many important datasets are affected by the problem of high dimensionality (having a large number of attributes or features), which can result in complex and time-consuming classification models. Feature selection techniques try to identify an optimal subset of features which may show improved classification performance as well as identify important features for the application at hand. Wrapper feature...
Virtual communities depend on members, and more specifically new members, for their lifeblood. To become a member of a virtual community, one must introduce oneself to the group, and be accepted as a member. We present here a series of two linguistic studies investigating newcomer introductions in seven Web 2.0 online communities. In the first study, we successfully developed a logistic regression...
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