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Personalized Web Search

  • Hema Sai Desu
  • Phalani PaladuguEmail author
  • Santoshi Sameera Adibhatla
  • Sushma Swaroopa Sorda
  • K. S. Sudeep
Conference paper
  • 17 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1089)

Abstract

World Wide Web (WWW) serves as a platform for retrieving a variety of information. This high volume of information leads to the information overload on the Internet. When a query is made, most search engines return same results to all users without considering the context of the user’s requests. For example, ‘virus’ in the context of one user can be malicious software, but for a biologist, it is a microorganism. This gives rise to the need for personalized web search. It is one of the growing concepts in web technologies. It is all about giving the right content to the right person at the right time. With the use of the user’s browsing history, we can personalize the results and improve the user’s visit experience. Through this paper, we emphasize on techniques to rank the pages in the order of relevance to the context of the user to achieve better results.

Keywords

Web search Personalization Browsing history User context User profile Browsing history Rerank Stop words Url 

References

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Hema Sai Desu
    • 1
  • Phalani Paladugu
    • 1
    Email author
  • Santoshi Sameera Adibhatla
    • 1
  • Sushma Swaroopa Sorda
    • 1
  • K. S. Sudeep
    • 1
  1. 1.National Institute of Technology CalicutKozhikodeIndia

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