Web Queries Classification Based on the Syntactical Patterns of Search Types

Author(s):  
Alaa Mohasseb ◽  
Mohamed Bader-El-Den ◽  
Andreas Kanavos ◽  
Mihaela Cocea
Keyword(s):  
2012 ◽  
Vol 16 (3) ◽  
pp. 273-297 ◽  
Author(s):  
Lin Li ◽  
Guandong Xu ◽  
Zhenglu Yang ◽  
Peter Dolog ◽  
Yanchun Zhang ◽  
...  

Author(s):  
Wen-Hsiang Lu ◽  
Lee-Feng Chien ◽  
Hsi-Jian Lee
Keyword(s):  

Author(s):  
Sreenivas Gollapudi ◽  
Samuel Ieong ◽  
Alexandros Ntoulas ◽  
Stelios Paparizos
Keyword(s):  

Author(s):  
Jigar Jadav ◽  
Andrew Burke ◽  
Pratik Dhiman ◽  
Michael Kollmer ◽  
Charles Tappert
Keyword(s):  

Author(s):  
Tao Guan ◽  
Lawrence V. Saxton
Keyword(s):  

2019 ◽  
Vol 349 ◽  
pp. 183-189 ◽  
Author(s):  
Yibo Sun ◽  
Zhao Yan ◽  
Duyu Tang ◽  
Nan Duan ◽  
Bing Qin
Keyword(s):  

Author(s):  
Duhita Pawar ◽  
Vina M. Lomte

In this paper, a detailed survey on different facet mining techniques, their advantages and disadvantages is carried out. Facets are any word or phrase which summarize an important aspect about the web query. Researchers proposed different efficient techniques which improves the user’s web query search experiences magnificently. Users are happy when they find the relevant information to their query in the top results. The objectives of their research are: (1) To present automated solution to derive the query facets by analyzing the text query; (2) To create taxonomy of query refinement strategies for efficient results; and (3) To personalize search according to user interest.


Author(s):  
Carlos A. Hurtado ◽  
Alexandra Poulovassilis ◽  
Peter T. Wood

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