Personalize Web Searching Strategies Classification and Comparison
This work addresses the need for personalized web searching for users seeking relevant information, but it appears incremental as it focuses on classification and comparison without introducing new methods.
The paper proposes a classification of web personalization strategies and investigates semantic web search tools, emphasizing the use of ontologies and agent technologies for building user interest profiles.
Personalization is becoming very important direction in semantic web search for the users that needs to find appropriate information. In this paper, a classification of web personalization is proposed and semantic web search tools are investigated. Building user interest profile is essential for personalizing. Nowadays, semantic web tools use ontologies for personalization because of their advantages. It is important to mention that most of the semantic web search tools use agent technologies for implementation.