Research Article
Personalized Web Search Ranking Based on Different Information Resources
471 downloads
@INPROCEEDINGS{10.1007/978-3-319-11629-7_31, author={Naglaa Fathy and Nagwa Badr and Tarek Gharib}, title={Personalized Web Search Ranking Based on Different Information Resources}, proceedings={Signal Processing and Information Technology. Second International Joint Conference, SPIT 2012, Dubai, UAE, September 20-21, 2012, Revised Selected Papers}, proceedings_a={SPIT}, year={2014}, month={11}, keywords={Search Personalization User Profile ODP Re-rank Concept Hierarchy}, doi={10.1007/978-3-319-11629-7_31} }- Naglaa Fathy
Nagwa Badr
Tarek Gharib
Year: 2014
Personalized Web Search Ranking Based on Different Information Resources
SPIT
Springer
DOI: 10.1007/978-3-319-11629-7_31
Abstract
The goal of personalized search is to provide user with results that accurately satisfy their specific goal of the search. In this paper, a hybrid personalized search re-ranking approach is proposed to provide users with results reordered according to their interests. User preferences are automatically learned into a concept-based user profile. This profile is then employed in the re-ranking process with other information resources to personalize results. Our experiments have shown interesting results in enhancing the quality of web search.
Copyright © 2012–2024 ICST
