2018•Unpublished venueRequires access

A Survey on Personalized Web Search Techniques

Vandana Maurya

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Abstract

The information explosion on the Internet makes it difficult for users to get required information from the web searched results. For the same query, most search engines return the same result to each user without taking into consideration user preference. Search results should be personalized to address this issue. Two general types of approaches to personalizing search results are: client side personalization and server side personalization. By considering all the benefits of a web personalization, this paper present various approaches used to achieve efficient and effective web personalization.

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What this paper is about

The information explosion on the Internet makes it difficult for users to get required information from the web searched results. For the same query, most search engines return the same result to each user without taking into consideration user preference. Search results should be personalized to address this issue. Two general types of approaches to personalizing search results are: client side personalization and server side personalization. By considering all the benefits of a web personalization, this paper present various approaches used to achieve efficient and effective web personalization.

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Available abstract

The information explosion on the Internet makes it difficult for users to get required information from the web searched results. For the same query, most search engines return the same result to each user without taking into consideration user preference. Search results should be personalized to address this issue. Two general types of approaches to personalizing search results are: client side personalization and server side personalization. By considering all the benefits of a web personalization, this paper present various approaches used to achieve efficient and effective web personalization.

Key concepts: Personalization, Computer science, World Wide Web, The Internet, Personalized search, Preference, Information retrieval, Web search query

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