Implementing Application for History Based Ranking Algorithm for Personalized Search Queries by using Crawler Intelligence
Abstract
The web search engine has long become the most important portal for ordinary people looking for useful information on the web. However, users might experience failure when search engines return irrelevant results that do not meet their real intentions. Such irrelevance is largely due to the enormous variety of users’ contexts and backgrounds, as well as the ambiguity of texts. Personalized web search (PWS) is a general category of search techniques aiming at providing better search results, which are tailored for individual user needs. As the expense, user information has to be collected and analyzed to figure out the user intention behind the issued query. The solutions to PWS can generally be categorized into two types, namely click-log-based methods and profile-based ones.
Keywords
Web Crawler; Web Crawling; Personalized web search; search as you type; user profile; Re-ranking
Full Text:
PDFCopyright (c) 2015 Namrata M. Gaurkar, Parul Bhanarkar
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
All published Articles are Open Access at https://journals.pen2print.org/index.php/ijr/
Paper submission: ijr@pen2print.org