Efficient Methods of Personalized Web Search, Techniques and Privacy

Authors

  • S. Geetharani  Department of Computer Science, PSG College of Arts and Science, Coimbatore, Tamilnadu, India
  • Keerthika  Department of Computer Science, PSG College of Arts and Science, Coimbatore, Tamilnadu, India

Keywords:

Data Pre-processing, Personalized web search, Page Ranking Strategies, Personalization Techniques, Privacy.

Abstract

Web search engines play an important role in web life. Generic web search engines are not suitable for identifying different needs of different customers. Personalized web search (PWS) is designed to provide different search results for different users. Personalization aims to provide users with what they need either by asking explicitly or implicitly. Several personalized web search models were developed based on web link structure, web contents, user queries, user profiles, browsing history etc. Personalized search has been a most important research area and many techniques have been developed and tested, still many issues and challenges are yet to be explored. User’s information safe and ensuring privacy, search engines should provide security mechanism. This paper concentrates on the many personalized web search approaches understand the web personalization processes, benefits, limitations and future trends.

References

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Published

2017-08-31

Issue

Section

Research Articles

How to Cite

[1]
S. Geetharani, Keerthika, " Efficient Methods of Personalized Web Search, Techniques and Privacy, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 4, pp.148-154, July-August-2017.