Personalize Web Searching Strategies Classification and Comparison
Mariya Evtimova-Gardair, Ivan Momtchev
TL;DR
This paper classifies web personalization strategies, investigates semantic web search tools, and emphasizes the importance of user interest profiles and ontologies for effective personalization.
Contribution
It introduces a classification framework for web personalization and analyzes the use of ontologies and agent technologies in semantic web search tools.
Findings
Semantic web tools rely on ontologies for personalization
Agent technologies are commonly used in semantic web search tools
Building user interest profiles is crucial for effective personalization
Abstract
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.