الفهرس 
Personalizing information retrieval for web resources using social annotation
AbstractOnly 14 pages are availabe for public view
 |  | from | 118 |  |  |
| | | from | 118 | | |
Abstract
Continually, search engines attempt to improve the retrieval process to satisfy user needs. Many challenges face the improvement efforts represented in a huge number of resources, and unknown user{u2019}s needs and domain. Usually, the search engines provide all users with same data, and they do not keep in touch the different users{u2019} needs. In terms of searching, the query keywords cannot always appropriate to reach the information a user is interested in. So, the interaction between search engines and web users may support the retrieval process to be closed to users{u2019} expectations. Nowadays, web 2.0 allows user participation, so the users became part of the web resources and their interests can be extracted. This research proposes an approach that exploits the web 2.0 benefits in combination of the semantic web to support search engines for retrieving results close to the user. It considers social annotation as a good review of the web resource, and the user{u2019}s personality. So, the proposed approach aims to personalize web resource and retrieval process. It considers annotations as the core of resources{u2019} analysis and user{u2019}s personality discovery. Moreover, the proposed approach concerns with fixing semantic challenges like ambiguity and heterogeneity. Besides, it supports the query and retrieval process by level of personalization which keep in touch the user{u2019}s interests and the priority of them. Thus, the same query may retrieve different results to different users. So, it fixed negative navigation time problem and unexpected results