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About User Profiling
This document describes a project to develop a system that uses machine learning techniques to create models of web users based on their browsing history and preferences. The project involves 3 phases: 1) Collecting web pages from searches and labeling them according to user preferences 2) Extracting features from the pages to create training data for machine learning 3) Using decision tree algorithms on the training data to create models that can classify users and improve search efficiency.
Detailed Information
| Author: | ['esudharaka'] |
|---|---|
| Publication Year: | 2010 |
| Pages: | 15 |
| Language: | English |
| Format: | |
| Price: | FREE |
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