RE-RANKING BASED PERSONALIZEDWEB SEARCH

Authors

  • Ankush Chavan Computer Science, AISSMS IOIT
  • Nilesh Kale Computer Science, AISSMS IOIT
  • Kishor Kotalwar Computer Science, AISSMS IOIT
  • Amol Shinde Computer Science, AISSMS IOIT

Keywords:

Personalized Web Search, Domain Knowledge, Re-ranking, Search Engine, Browsing History.

Abstract

Generic search engines are useful for retrieving relevant information from web. Personalized web
search is an important field for tuning the traditional IR system for focused information retrieval. Different
users retrieve different type of information needs when they use search engines to find web information. But
the current web search engine provides the same information to the every user. To overcome this problem we
propose a personalized web search engine Based on the user profile and the domain knowledge the system
keeps on updating the user profile and enhanced user profile. This enhanced user profile is then used for
suggesting relevant URL web pages. With the use of re-ranking concept, its providing relevant information
based on the user searching browsing history.

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Published

2022-08-23

How to Cite

Ankush Chavan, Nilesh Kale, Kishor Kotalwar, & Amol Shinde. (2022). RE-RANKING BASED PERSONALIZEDWEB SEARCH. International Journal of Advance Engineering and Research Development (IJAERD), 3(13), -. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/5865

Issue

Vol. 3 No. 13 (2016): ICPCDECT-2016 (International Conference and Project Competition on Data Engineering and Communication Technology)

Section

Articles