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» Searching the Web: From Keywords to Semantic Queries
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WEBDB
2007
Springer
85views Database» more  WEBDB 2007»
15 years 3 months ago
Corroborating Answers from Multiple Web Sources
The Internet has changed the way people look for information. Users now expect the answers to their questions to be available through a simple web search. Web search engines are i...
Minji Wu, Amélie Marian
EMNLP
2009
14 years 7 months ago
Improving Web Search Relevance with Semantic Features
Most existing information retrieval (IR) systems do not take much advantage of natural language processing (NLP) techniques due to the complexity and limited observed effectivenes...
Yumao Lu, Fuchun Peng, Gilad Mishne, Xing Wei, Ben...
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
15 years 10 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
WWW
2009
ACM
15 years 10 months ago
Identifying vertical search intention of query through social tagging propagation
A pressing task during the unification process is to identify a user's vertical search intention based on the user's query. In this paper, we propose a novel method to p...
Ning Liu, Jun Yan, Weiguo Fan, Qiang Yang, Zheng C...
ICDE
2008
IEEE
152views Database» more  ICDE 2008»
15 years 4 months ago
Automated generation of object summaries from relational databases: A novel keyword searching paradigm
— This paper introduces a novel keyword searching paradigm in Relational Databases (DBs), where the result of a search is a ranked set of Object Summaries (OSs). An OS summarizes...
Georgios John Fakas