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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Sugiyama, K., Hatano, K., Yoshikawa, M.: Adaptive web search based on user profile constructed without any effort from users. In: Proceedings of the 13th International Conference on World Wide Web, pp. 675–684 (2004)
Liang, C.: User profile for personalized web search. In: International Conference on Fuzzy Systems and Knowledge Discovery, pp. 1847–1850 (2011)
Mavilodan, D., Jaisinghani, K., Bansal, R.:Personalized Web Search
Joshi, C., Jaiswal, T., Gaur, H.: An overview study of personalized web search. Int. J. Sci. Res. Publ. 3 (2013)
Bhosale, M., Jagdale, N., Gawali, S., Dhotre, V.: Personalised web search using browsing history and domain knowledge
ranks.nl. Stopwords. https://www.ranks.nl/stopwords. Accessed 19 Feb 2018
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Desu, H.S., Paladugu, P., Adibhatla, S.S., Sorda, S.S., Sudeep, K.S. (2020). Personalized Web Search. In: Pati, B., Panigrahi, C., Buyya, R., Li, KC. (eds) Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 1089. Springer, Singapore. https://doi.org/10.1007/978-981-15-1483-8_18
Download citation
DOI: https://doi.org/10.1007/978-981-15-1483-8_18
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-1482-1
Online ISBN: 978-981-15-1483-8
eBook Packages: EngineeringEngineering (R0)