Web Search Result Personalization Using Web Mining
| Autor: | Kavita D. Satokar, S.Z. Gawali |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Web analytics
medicine.medical_specialty Web server Web development Computer science computer.software_genre Personalization World Wide Web Search engine Rewrite engine Web query classification Web page Web design medicine Web navigation Information retrieval Web search query business.industry Static web page Hyperlink Web mining Web search engine Semantic URL Web mapping Web service Web crawler Web intelligence business Web modeling computer Site map |
| Zdroj: | International Journal of Computer Applications. 2:29-32 |
| ISSN: | 0975-8887 |
| DOI: | 10.5120/665-933 |
| Popis: | The information on the web is growing dramatically. The users have to spend lots of time on the web finding the information they are interested in. Today, he traditional search engines do not give users enough personalized help but provide the user with lots of irrelevant information, In this paper, we present a personalize Web search system, which can helps users to get the relevant web pages based on their selection from the domain list. Thus, users can obtain a set of interested domains and the web pages from the system. The system is based on features extracted from hyperlinks, such as anchor terms or URL tokens, user interest domains and past search results. Our methodology uses an innovative weighted URL Rank algorithm based on user interested domains and user query. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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