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Social tagging systems such as Facebook, YouTube, del.icio.us, Flickr become popular recent years and have achieved widespread success. State-of-art user modeling approaches in tagging systems usually use a vector of weighted tags. Unfortunately, typical user modeling methods using a vector of weighted tags which are based on personal view only and ignore the social view, have some inherent drawbacks...
Traditional collaborative filtering algorithms all suffer from inaccurate recommendation and bad scalability. In this paper, we propose a new collaborative filtering algorithm based on user??s interest partition. We divides user??s whole interest into pieces. Each piece of interest is called interest unit. And the similarity between users on interest unit is named local similarity. The similarity...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.