Personalize Web Searching Strategies Classification and Comparison
Information Retrieval
2022-03-28 v1 Artificial Intelligence
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.
Cite
@article{arxiv.2203.13561,
title = {Personalize Web Searching Strategies Classification and Comparison},
author = {Mariya Evtimova-Gardair and Ivan Momtchev},
journal= {arXiv preprint arXiv:2203.13561},
year = {2022}
}
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5 pages