منابع مشابه
A Score based Web Page Ranking Algorithm
With the explosive growth of information in the Web, users face difficulties while finding their desired information. Search engine helps the user by retrieving useful information from this huge collection based on his/her search query and presents a list of relevant web pages as a search result. However, without proper ranking of pages in the result through the relevancy of pages to the search...
متن کاملA Syntactic Classification based Web Page Ranking Algorithm
The existing search engines sometimes give unsatisfactory search result for lack of any categorization of search result. If there is some means to know the preference of user about the search result and rank pages according to that preference, the result will be more useful and accurate to the user. In the present paper a web page ranking algorithm is being proposed based on syntactic classific...
متن کاملAn Integrated Page Ranking Algorithm for Personalized Web Search
Today search engines constitute the most powerful tools for organizing and extracting information from the Web. However, it is not uncommon that even the most renowned search engines return result sets including many pages that are definitely useless for the user. This is mainly due to the fact that the very basic relevance criterions underlying their information retrieval strategies rely on th...
متن کاملWeb Page Ranking Based on Text Substance of Linked Pages
World Wide Web is large sized repository of interlinked hypertext documents accessed via the Internet. Web may contain text, images, video, and other multimedia data. The user navigates through this using hyperlink. Search Engine gives millions of results and applies Web mining techniques to order the results. The sorted order of search results is obtained by applying some special algorithms ca...
متن کاملUPR: Usage-based Page Ranking for Web Personalization1
Recommendation algorithms aim at proposing “next” pages to a user based on her navigational behavior. In the vast majority of related algorithms, only the usage data are used to produce recommendations. We claim that taking also into account the web structure and using link analysis algorithms ameliorates the quality of recommendations. In this paper we present UPR, a personalization algorithm ...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2015
ISSN: 0975-8887
DOI: 10.5120/19367-1035