User Profile Acquisition Approaches

1607 WordsJul 13, 20187 Pages
There are various types of user profile acquisition approaches, which are classified into five groups: (1) data mining, (2) statistics and network analysis, (3) Information retrieval, (4) machine Learning and (5) Cognitive. Most of the methods are dealing with static Websites except a couple of methods that can be applied on dynamic Websites (Nasraoui & Rojas, 2003). The method employs data mining techniques such as a frequent pattern and reference mining found from (Holland et al., 2003; KieBling & Kostler, 2002) and (Ivancy & Vajk, 2006). Frequent and reference mining is a heavily research area in data mining with wide range applications for discovering a pattern from Web log data to obtain information about navigational behavior of…show more content…
In comparison the method based on textual called TCBR (Textual Case Base Reasoning) that solves new problems by remembering previous similar experiences of the user applied by Godoy (2005).Case Base Reasoning (CBR) is an agent applied to accomplish a task i.e. to find the correct class for unclassified class by the topic in the Web documents. Additionally, Germanakos et al (2007; 2008) have presented various techniques to extract user profiles and introduce comprehensive user profiles that include user perceptual preference characteristics based on cognitive study. Furthermore, they analyze the main part of user preferences such as visual, cognitive and emotional-processing parameters, which are incorporated with established user profile characteristics. Besides, the traditional user profile extraction approach, they combined other user characteristics including cognitive approach, which is related to the learning process, experience, emotional process and visual attention. In other research, Chi et al. (2002) described a prototype production system code-named Lumber-Jack that integrates all this information into a single report that analyst can use in the field to gain accurately an understanding of the overall traffic patterns at a Website. There have been
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