A User Profile Derivation Approach based on Log-File Analysis
نویسندگان
چکیده
We present an approach to derive user profiles from observing user behavior. In particular, we use Web server log files and meta data describing page contents to extract user interests. In the derivation process, we apply descriptive statistics, like page access frequency, as well as more sophisticated means, such as network analysis methods. The approach requires that appropriate meta-data describing the content of web pages is available. However, we do not require a specific meta-data format or standard.
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