چكيده به لاتين
personalization of search engins can be categorised as a type of in-depth personalization. It can obviousely be stated that personalization devices that help users find the information they need, need to use textual and semantic information analysis techniques that exist in the field of information retrieval. Web personalization with the aim of providing information tailored to the interests of users has played an important role in improving user interaction with the Web, since today search engines are the main tool for searching information on the web and despite widespread use can not find suitable search results. Provide users, so personalizing search engines to help users get information tailored to their interests is essential In the field of search engine personalization, many things have been done so far, and in each of the works done, the re searchers' approach to this issue and what they have done has been different. This personalization is based on a user profile, what data this profile contains, and how initialization is updated, used, and has led to a number of approaches. Web personalization is the process of optimizing the way web pages are accessed, tailored to each user's needs What solves the current problem of search engines and speeds up their performance is providing a good framework for discovering the right pattern given the large items in users' history. This approach also improves the response process in search engines. The purpose of this dissertation is to introduce some methods of improving the correct model process and their revision.
