Performance analysis of query related user profiling for web search

2013 ◽  
Author(s):  
D. Madusubram ◽  
S. P. ShanthaRajah
Keyword(s):  
Performance Analysis ◽  
Web Search ◽  
User Profiling

scholarly journals Web Personalization-Improving Web Search Ranking based on User Profiling-

2006 ◽  
Vol 16 (4) ◽  
pp. 33-40
Author(s):  
Yukio HORI ◽  
Yoshiro IMAI ◽  
Takashi NAKAYAMA
Keyword(s):  
Web Search ◽  
User Profiling ◽  
Web Personalization ◽  
Web Search Ranking

Web Search Engine Architectures and their Performance Analysis

2011 ◽  
pp. 491-509
Author(s):  
Xiannong Meng
Keyword(s):  
Performance Analysis ◽  
Search Engine ◽  
Search Engines ◽  
Web Search ◽  
General Purpose ◽  
Performance Measurements ◽  
Web Documents ◽  
System Architectures ◽  
Web Search Engine ◽  
And Performance

This chapter surveys various technologies involved in a Web search engine with an emphasis on performance analysis issues. The aspects of a general-purpose search engine covered in this survey include system architectures, information retrieval theories as the basis of Web search, indexing and ranking of Web documents, relevance feedback and machine learning, personalization, and performance measurements. The objectives of the chapter are to review the theories and technologies pertaining to Web search, and help us understand how Web search engines work and how to use the search engines more effectively and efficiently.

Personalization of Web Search Results Based on User Profiling

2008 ◽  
Author(s):  
Snigdha Gupta ◽  
Saral Jain ◽  
Mohammad Kazi ◽  
Bharat M. Deshpande ◽  
Mangesh Bedekar ◽  
...  
Keyword(s):  
Web Search ◽  
User Profiling ◽  
Search Results

scholarly journals Similarity Measurement in the Hybrid of Semantic Web Search Engine

2013 ◽  
Vol 8 (3) ◽  
pp. 913-921 ◽  
Author(s):  
Noryusliza Abdullah ◽  
Rosziati Ibrahim
Keyword(s):  
Semantic Web ◽  
Search Engine ◽  
World Wide ◽  
Web Search ◽  
User Profiling ◽  
Similarity Measurement ◽  
Hybrid Techniques ◽  
Time Usage ◽  
The World ◽  
Data Arrangement

Semantic Web approach with the assistance of ontology is widely used to give more reliable application in retrieving information and knowledge.  It is capable to discover the World Wide Web (WWW) that is presented in natural-language text.  Based on previous research, incorporating categorization with ontology concept has proven to give better results.  However, performing hybrid of the search engine using another technique that is user profiling has a promising potency in enhancing the searching process.  Utilizing searching time and giving relevant results are the contributions of this research.  The proposed hybrid techniques integrate ontologies, categorization and user profiling concept.  In user profiling, similarity measure is adopted in making comparison between two different ontologies.  WordNet and UTHM Onto are the independent ontologies used in this process.  The preliminary experimental results have given interesting results in terms of data arrangement and time usage.

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