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» Improving Web Search Relevance with Semantic Features
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ACSC
2008
IEEE
15 years 8 months ago
An investigation on a community's web search variability
Users’ past search behaviour provides a rich context that an information retrieval system can use to tailor its search results to suit an individual’s or a community’s infor...
Mingfang Wu, Andrew Turpin, Justin Zobel
WEBI
2010
Springer
14 years 11 months ago
How to Improve Your Google Ranking: Myths and Reality
Abstract--Search engines have greatly influenced the way people access information on the Internet as such engines provide the preferred entry point to billions of pages on the Web...
Ao-Jan Su, Y. Charlie Hu, Aleksandar Kuzmanovic, C...
AAAI
2007
15 years 3 months ago
TableRank: A Ranking Algorithm for Table Search and Retrieval
Tables are ubiquitous in web pages and scientific documents. With the explosive development of the web, tables have become a valuable information repository. Therefore, effective...
Ying Liu, Kun Bai, Prasenjit Mitra, C. Lee Giles
IJMSO
2006
110views more  IJMSO 2006»
15 years 1 months ago
Metadata, semantics, and ontology: providing meaning to information resources
: Metadata research has emerged as a new discipline in the last years, and is focused on the provision of semantic descriptions of a diverse kind to digital resources, web resource...
Miguel-Ángel Sicilia
WWW
2004
ACM
16 years 2 months ago
Affinity rank: a new scheme for efficient web search
Maximizing only the relevance between queries and documents will not satisfy users if they want the top search results to present a wide coverage of topics by a few representative...
Yi Liu, Benyu Zhang, Zheng Chen, Michael R. Lyu, W...