Web Search Personalization by User Profiling

Bedekar, Mangesh; Deshpande, Bharat M.; Joshi, Ramprasad

doi:10.1109/icetet.2008.70

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…Personal Search based on profile is proposed in [9]. Only one user can take the advantage from his experienced profile and the engine does not allow the user to have advices from other users of the same interest.…”

Section: B Personal Searchmentioning

confidence: 99%

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Personal search engine based on user interests and modified page rank

Harb

Khalifa

Ishkewy

2009

2009 International Conference on Computer Engineering &Amp; Systems

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With the tremendous growth of the web and the contents difference, users need specialized accurate results depending on their behavior and varying according to their interest. In this paper, we introduce A Personal Search Engine which provides results relevant to the user's interest. Our search engine depends on three factors to ensure relevant and accurate results. The first factor is the degree of importance of the document category to the user. The second factor is the user's interest page rank which depends on the user's browsing of the page. The third factor is the degree of relevance of the document.

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Section: B Personal Searchmentioning

confidence: 99%

“…This feedback is not feasible to all users and not all users have this skill. In addition, no advice is provided from the users of the same interests like in [9].…”

Section: B Personal Searchmentioning

confidence: 99%

Personal search engine based on user interests and modified page rank

Harb

Khalifa

Ishkewy

2009

2009 International Conference on Computer Engineering &Amp; Systems

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“…Mangesh Bedekar et al [27] presented a system to improve the relevant searches for the experienced user using their profile. Principal elements of web personalization include modeling of web objects and subjects, how the objects and subjects are categorised and performing the match among the objects and/or, determine the set of actions that are recommended to be performed for personalization.…”

Section: Web Search Personalization Using Data Miningmentioning

confidence: 99%

A Survey on Techniques for Personalization of Web Search

Arya¹,

Choudhary²,

Tomar³

2014

IJCA

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The World Wide Web (WWW) is growing exponentially per year thereby search engine provides the low quality of search results. Thus, the users get difficulty in getting the relevant information from the obtained search results. The quality of web search results depends on the information needs of the user and the searching techniques employed in the web search systems. So, the personalization is a general need in web search now-a-days. This paper includes the review of various approaches towards personalization. The approaches include hybrid profiling, personalized click model, ontology based user profiles and fuzzy theory for personalization.

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