scholarly journals Web Queries with Style: Rendering Xcerpt Programs with CSSNG

2006 ◽  
pp. 225-236 ◽  
Author(s):  
François Bry ◽  
Christoph Wieser
Keyword(s):  
Web Queries

An efficient approach to suggesting topically related web queries using hidden topic model

2012 ◽  
Vol 16 (3) ◽  
pp. 273-297 ◽  
Author(s):  
Lin Li ◽  
Guandong Xu ◽  
Zhenglu Yang ◽  
Peter Dolog ◽  
Yanchun Zhang ◽  
...  
Keyword(s):  
Topic Model ◽  
Efficient Approach ◽  
Web Queries

Classification of Student Web Queries

2017 ◽  
Author(s):  
Jigar Jadav ◽  
Andrew Burke ◽  
Pratik Dhiman ◽  
Michael Kollmer ◽  
Charles Tappert
Keyword(s):  
Web Queries

A Complexity Model For Web Queries

1999 ◽  
pp. 69-80
Author(s):  
Tao Guan ◽  
Lawrence V. Saxton
Keyword(s):  
Web Queries

Content-based table retrieval for web queries

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

scholarly journals A Survey on Automatically Mining Facets for Web Queries

2017 ◽  
Vol 7 (6) ◽  
pp. 3700
Author(s):  
Duhita Pawar ◽  
Vina M. Lomte
Keyword(s):  
Relevant Information ◽  
User Interest ◽  
Query Refinement ◽  
Advantages And Disadvantages ◽  
Detailed Survey ◽  
Text Query ◽  
The Web ◽  
Web Queries

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.

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