Information Retrieval based on Content and Location Ontology for Search Engine (CLOSE)

1
Niranjan Kumar
Niranjan Kumar
2
S G Raghavendra Prasad
S G Raghavendra Prasad
1 Rashtreeya Vidyalaya College of Engineering

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This paper mainly focuses on the personalization of the search engine based on data mining technique, such that user preferences are taken into consideration. Clickthrough data is applied on the user profile to mine the user preferences in order to extract the features to know in which users are really interested. The basic idea behind the concept is to construct the content and location ontology’s, where content represent the previous search records of the user and location refer to current location of user. SpyNB is the approach used to mining the user preferences from the Clickthrough data. The ranked support vector machine (RVSM) is performed on the searched results in order to display results according to user preferences by considering Clickthrough data.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Niranjan Kumar. 2014. \u201cInformation Retrieval based on Content and Location Ontology for Search Engine (CLOSE)\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 14 (GJCST Volume 14 Issue C2): .

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GJCST Volume 14 Issue C2
Pg. 19- 25
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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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v1.2

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May 15, 2014

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English

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This paper mainly focuses on the personalization of the search engine based on data mining technique, such that user preferences are taken into consideration. Clickthrough data is applied on the user profile to mine the user preferences in order to extract the features to know in which users are really interested. The basic idea behind the concept is to construct the content and location ontology’s, where content represent the previous search records of the user and location refer to current location of user. SpyNB is the approach used to mining the user preferences from the Clickthrough data. The ranked support vector machine (RVSM) is performed on the searched results in order to display results according to user preferences by considering Clickthrough data.

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Information Retrieval based on Content and Location Ontology for Search Engine (CLOSE)

Niranjan Kumar
Niranjan Kumar Rashtreeya Vidyalaya College of Engineering
S G Raghavendra Prasad
S G Raghavendra Prasad

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