Creating User Models from Web Logs
نویسندگان
چکیده
This paper describes the ground work we have done in our goal to create an adaptive educational website. We are interested in creating rich user models from a variety of sources. One important source of such user models can be based upon data from the time the user spends at a web page with an audio content. We report basic analyses of such logs from a course whose lectures are delivered as on-line audio associated with web pages.
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تاریخ انتشار 2003