Extracting user’s interest based on social bookmark tags
نویسندگان
چکیده
Social Networking Services (SNSs) have been gaining popularity in recent years. However, as the number of users of SNS increases, users are forced to spend a great deal of time in order to nd a good friend . The user recommendation system is a good tool that solves this problem, but in that case, the system should understand the user's interests. In the present paper, as a means of extracting a user interest, we construct a hierarchy of words from social bookmarking tags and emphasize characteristic words based on this relation. Then, we evaluate and demonstrate whether it is useful to extract an SNS user's interest.
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تاریخ انتشار 2010