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- W166218008 abstract "Our aim is to improve web search engines, approaching the searching problemconsidering the user, his/her topics of interest and the navigation context. Furthermore,the clickstream also contains patterns inside. Our system will alsotry to predict the next pages that are going to be visited according to the clickstream.In a personalized search engine, two different users get different results forthe same query, because the system considers the interests of each user separately.To personalize search, many sources of information can be used: thebookmarks of the user, his/her geographical location, his navigation history, etc.Web search engines have, broadly speaking, three basic phases. They arecrawling, indexing and searching. The information available about the users interestcan be considered in some of those three phases, depending on its nature.Work on search personalization already exists. We will see them in Chapter 3.In order to solve the problems of ignorance in relation to the user and hisinterests, we have developed a system that keeps track of the web pages thatthe user visits (his clickstream).Our system will analyze the clickstream, and will focus the crawling to pagesrelated to the topics of interest of the user. Furthermore, each time the userexecutes a query, the system will consider his/her navigation context, and pagesrelated to the navigation context will get better scores.Furthermore, our system also analyzes the clickstream of the user, and retrievessome navigation patterns from it. Those patterns will be used to givesome navigation tips to the user based on his navigation context." @default.
- W166218008 created "2016-06-24" @default.
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- W166218008 date "2009-01-19" @default.
- W166218008 modified "2023-09-27" @default.
- W166218008 title "Personalizing web search and crawling from clickstream data" @default.
- W166218008 hasPublicationYear "2009" @default.
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