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Web search engine metrics

Proceedings of the 19th international conference on World wide web, 2010
Search engines are important resources for finding information on the Web. They are also important for publishers and advertisers to present their content to users. Thus, user satisfaction is key and must be quantified. In this tutorial, we give a practical review of web search metrics from a user satisfaction point of view.
Ali Dasdan   +2 more
openaire   +1 more source

A Web Search Engine-Based Approach to Measure Semantic Similarity between Words

IEEE Transactions on Knowledge and Data Engineering, 2011
Measuring the semantic similarity between words is an important component in various tasks on the web such as relation extraction, community mining, document clustering, and automatic metadata extraction.
Danushka Bollegala   +2 more
semanticscholar   +1 more source

Improving Web Search Ranking by Incorporating User Behavior Information

SIGIR Forum, 2019
We show that incorporating user behavior data can significantly improve ordering of top results in real web search setting. We examine alternatives for incorporating feedback into the ranking process and explore the contributions of user feedback ...
Eugene Agichtein, Eric Brill, S. Dumais
semanticscholar   +1 more source

Another Face of Search Engine: Web Search API’s

2008
Since search engine development requires building an index which is a tedious and space consuming process. Now-a-days all major search engines provide developers access to their resources through a set of APIs. In this paper we try to answer the following questions. What differences exist between search engines and their associated search APIs?
Kumar H., Kang S.
openaire   +1 more source

Overlap among major web search engines

Internet Research, 2006
PurposeThis paper reports the findings of a major study examining the overlap among results retrieved by three major web search engines. The goal of the research was to: measure the overlap across three major web search engines on the first results page overlap (i.e. share the same results) and the differences across a wide range of user defined search
Spink, Amanda   +3 more
openaire   +2 more sources

Search engine: intelligent web service search

IET Chennai 3rd International Conference on Sustainable Energy and Intelligent Systems (SEISCON 2012), 2012
A brand new model for searching the web content for specific information and manufacture precise results aligned with user intention is developed. The present search engine search results mainly upon the semantic information on the market based on web content and thus the machine doesn't perceive the semantic information from the web content and the ...
N. Rajkumar, B. Gohin, V. Vinod
openaire   +1 more source

A visual sonificated web search clustering engine

Cognitive Processing, 2009
This work aimed at expanding the architecture of WhatsOnWeb (WoW; Di Giacomo et al. 2007) following accessibility and usability state-of-the-art criteria. WoW is a visual Web search engine that conveys the indexed dataset using graph-drawing methods on semantically clustered data.
Rugo A.   +6 more
openaire   +3 more sources

Mimicking Web search engines for expert search

Information Processing & Management, 2011
Many enterprise employees may publish content outside their corporate intranet, making the Web a valuable source for identifying company experts. In this article, we thoroughly investigate the usefulness of Web search engines (WSEs) for expert search.
Rodrygo L.T. Santos   +2 more
openaire   +1 more source

Searching for people on Web search engines

Journal of Documentation, 2004
The Web is a communication and information technology that is often used for the distribution and retrieval of personal information. Many people and organizations mount Web sites containing large amounts of information on individuals, particularly about celebrities.
Amanda Spink   +2 more
openaire   +1 more source

Thesaurus Extension Using Web Search Engines

2010
Maintaining and extending large thesauri is an important challenge facing digital libraries and IT businesses alike. In this paper we describe a method building on and extending existing methods from the areas of thesaurus maintenance, natural language processing, and machine learning to (a) extract a set of novel candidate concepts from text corpora ...
Meusel, Robert   +3 more
openaire   +2 more sources

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