Abstract
In this paper, we introduce a new Collaborative Filtering (CF) model which takes into consideration users’ context based upon tagging information
such as available from recently popular social tagging
systems.
In numerous implementations, traditional CF systems
have been proven to work well under certain circumstances. However, CF systems still suffer a weakness:
They do not take context into consideration. Yet recently, social tagging systems have become popular–
these systems provide a well suited combination of
context clues through tags as well as important social connectivity among users. Thus, we combine the
features of these two systems to create a Tag-Based
Contexual Collaborative Filtering model.
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