A new readability measure for web documents and its evaluation on an effective web search engine

2016 ◽  
Author(s):  
Yume Sasaki ◽  
Takuya Komatsuda ◽  
Atsushi Keyaki ◽  
Jun Miyazaki
Keyword(s):  
Search Engine ◽  
Web Search ◽  
Web Documents ◽  
Web Search Engine ◽  
Readability Measure

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.

scholarly journals Searching Web Documents Using a Fuzzy-Based Method

2017 ◽  
Vol 5 (2) ◽  
Author(s):  
Enrico Fischetti ◽  
Aniello Nappi
Keyword(s):  
Search Engine ◽  
Web Search ◽  
User Profile ◽  
User Needs ◽  
Web Searching ◽  
Web Documents ◽  
Linguistic Description ◽  
Web Search Engine ◽  
Meta Information ◽  
Fuzzy Linguistic

Web searching could be more fruitful if a user could easily find documents which satisfy his/her needs in terms of structure, format and contents. Herein a solution through a fuzzy linguistic description of the document is proposed, a linguistic variant of standard metadata types. Linguistic expressions are used to qualitatively represent both meta-information and user needs and a matching system is developed to select the most compatible documents with the user profile. The documents retrieved by a web search engine are organized in clusters and ordered in each cluster.

scholarly journals Architecture of a grid-enabled Web search engine

2007 ◽  
Vol 43 (3) ◽  
pp. 609-623 ◽  
Author(s):  
B. Barla Cambazoglu ◽  
Evren Karaca ◽  
Tayfun Kucukyilmaz ◽  
Ata Turk ◽  
Cevdet Aykanat
Keyword(s):  
Search Engine ◽  
Web Search ◽  
Web Search Engine

Web search engine multimedia functionality

2008 ◽  
Vol 44 (1) ◽  
pp. 340-357 ◽  
Author(s):  
Dian Tjondronegoro ◽  
Amanda Spink
Keyword(s):  
Search Engine ◽  
Web Search ◽  
Web Search Engine
Sign in / Sign up

Export Citation Format

Share Document